diff --git a/notebooks/thesis_electrons.ipynb b/notebooks/thesis_electrons.ipynb
index ab81f42..cd7b05b 100644
--- a/notebooks/thesis_electrons.ipynb
+++ b/notebooks/thesis_electrons.ipynb
@@ -68,8 +68,8 @@
    "outputs": [],
    "source": [
     "cut_prop: bool = electrons.p_end_velo > 0  # 3e3\n",
-    "found = electrons[~electrons.lost & cut_prop]\n",
-    "lost = electrons[electrons.lost & cut_prop]\n",
+    "found = electrons[~electrons.lost]\n",
+    "lost = electrons[electrons.lost]\n",
     "\n",
     "eloss_found = (found[\"p\"] - found[\"p_end_scifi\"]) / found[\"p\"]\n",
     "eloss_lost = (lost[\"p\"] - lost[\"p_end_scifi\"]) / lost[\"p\"]\n",
@@ -100,7 +100,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x900 with 1 Axes>"
       ]
@@ -134,9 +134,9 @@
     ")\n",
     "\n",
     "plt.xlabel(r\"$E_\\gamma/E_0$\")\n",
-    "plt.ylabel(\"a.u.\")\n",
-    "# plt.title(r'$B\\rightarrow K^\\ast ee$, $p>5$GeV, photons w/ brem_vtx_z$<9500$mm')\n",
-    "plt.legend(title=\"LHCb Simulation\")\n",
+    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
+    "mplhep.lhcb.text(\"Simulation\")\n",
+    "plt.legend(loc=\"upper center\")\n",
     "plt.show()\n",
     "# plt.savefig(\n",
     "#     \"/work/cetin/Projektpraktikum/thesis/emitted_energy_beginVelo2endT.pdf\",\n",
@@ -151,7 +151,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x900 with 1 Axes>"
       ]
@@ -185,13 +185,14 @@
     ")\n",
     "\n",
     "plt.xlabel(r\"$E_\\gamma/E_{VELO}$\")\n",
-    "plt.ylabel(\"a.u.\")\n",
+    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
     "# plt.title(r'$B\\rightarrow K^\\ast ee$, $p>5$GeV, photons w/ brem_vtx_z$<9500$mm')\n",
-    "plt.legend(title=\"LHCb Simulation\")\n",
+    "plt.legend(loc=\"best\")\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
     "plt.show()\n",
     "# plt.savefig(\n",
-    "#     \"/work/cetin/Projektpraktikum/thesis/emitted_energy_endVelo2endT.pdf\", format=\"PDF\"\n",
-    "# )"
+    "#     \"/work/cetin/Projektpraktikum/thesis/emitted_energy_endVelo2endT.pdf\",\n",
+    "#     format=\"PDF\")"
    ]
   },
   {
@@ -201,7 +202,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x900 with 1 Axes>"
       ]
@@ -235,9 +236,12 @@
     ")\n",
     "\n",
     "plt.xlabel(r\"$E_\\gamma/E_0$\")\n",
-    "plt.ylabel(\"a.u.\")\n",
+    "# plt.ylabel(\"a.u.\")\n",
+    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
+    "\n",
     "# plt.title(r'$B\\rightarrow K^\\ast ee$, $p>5$GeV, photons w/ brem_vtx_z$<9500$mm')\n",
-    "plt.legend(title=\"LHCb Simulation\")\n",
+    "plt.legend(loc=\"best\")\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
     "plt.show()\n",
     "# plt.savefig(\n",
     "#     \"/work/cetin/Projektpraktikum/thesis/emitted_energy_beginVelo2endVelo.pdf\",\n",
@@ -254,6 +258,108 @@
     "### --- ### above should be correct"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x900 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "nbins = 50\n",
+    "plt.hist(\n",
+    "    ak.to_numpy(lost[\"eta\"]),\n",
+    "    bins=nbins,\n",
+    "    density=True,\n",
+    "    alpha=0.5,\n",
+    "    histtype=\"bar\",\n",
+    "    color=\"#F05342\",\n",
+    "    label=\"lost\",\n",
+    "    range=[2, 5],\n",
+    ")\n",
+    "# #2A9D8F another teal color\n",
+    "plt.hist(\n",
+    "    ak.to_numpy(found[\"eta\"]),\n",
+    "    bins=nbins,\n",
+    "    density=True,\n",
+    "    alpha=0.5,\n",
+    "    histtype=\"bar\",\n",
+    "    color=\"#107E7D\",\n",
+    "    label=\"found\",\n",
+    "    range=[2, 5],\n",
+    ")\n",
+    "# plt.xlim(2, 5)\n",
+    "plt.xlabel(r\"$\\eta$\")\n",
+    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
+    "plt.legend(loc=\"best\")\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
+    "# plt.show()\n",
+    "plt.savefig(\n",
+    "    \"/work/cetin/Projektpraktikum/thesis/eta_found_lost.pdf\",\n",
+    "    format=\"PDF\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x900 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "nbins = 50\n",
+    "plt.hist(\n",
+    "    ak.to_numpy(lost[\"phi\"]),\n",
+    "    bins=nbins,\n",
+    "    density=True,\n",
+    "    alpha=0.5,\n",
+    "    histtype=\"bar\",\n",
+    "    color=\"#F05342\",\n",
+    "    label=\"lost\",\n",
+    "    range=[-3.142, 3.142],\n",
+    ")\n",
+    "# #2A9D8F another teal color\n",
+    "plt.hist(\n",
+    "    ak.to_numpy(found[\"phi\"]),\n",
+    "    bins=nbins,\n",
+    "    density=True,\n",
+    "    alpha=0.5,\n",
+    "    histtype=\"bar\",\n",
+    "    color=\"#107E7D\",\n",
+    "    label=\"found\",\n",
+    "    range=[-3.142, 3.142],\n",
+    ")\n",
+    "# plt.xlim(2, 5)\n",
+    "plt.xlabel(r\"$\\phi$ [rad]\")\n",
+    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
+    "plt.legend(loc=\"best\")\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
+    "plt.show()\n",
+    "# plt.savefig(\n",
+    "#     \"/work/cetin/Projektpraktikum/thesis/phi_found_lost.pdf\",\n",
+    "#     format=\"PDF\",\n",
+    "# )"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -263,26 +369,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.24996287312509283"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# magnet kick position\n",
-    "input_tree = uproot.open({\n",
-    "    \"/work/cetin/Projektpraktikum/tracking_losses_ntuple_test_zmag.root\" : \"PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
-    "})\n",
+    "input_tree = uproot.open(\n",
+    "    {\n",
+    "        \"/work/cetin/Projektpraktikum/tracking_losses_ntuple_B_zmag.root\": \"PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
+    "    }\n",
+    ")\n",
     "array = input_tree.arrays()\n",
-    "array = array[(array.isElectron) & (array.fromB)]\n"
+    "array = array[(array.isElectron) & (array.fromB)]\n",
+    "stretch_factor = ak.num(array[array.lost], axis=0) / ak.num(array[~array.lost], axis=0)\n",
+    "stretch_factor"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x900 with 1 Axes>"
       ]
@@ -296,50 +424,47 @@
     "xmax: float = 5600\n",
     "\n",
     "fig = plt.figure()\n",
-    "plt.hist(array[array.lost][\"match_zmag\"],\n",
-    "         bins=80,\n",
-    "         range=[xmin, xmax],\n",
-    "         color=\"#F05342\",\n",
-    "         alpha=0.5,\n",
-    "         label=\"lost\",\n",
-    "         density=True)\n",
-    "plt.hist(array[~array.lost][\"match_zmag\"],\n",
-    "         bins=80,\n",
-    "         range=[xmin, xmax],\n",
-    "         color=\"#107E7D\",\n",
-    "         alpha=0.5,\n",
-    "         label=\"found\",\n",
-    "         density=True)\n",
+    "plt.hist(\n",
+    "    array[array.lost][\"match_zmag\"],\n",
+    "    bins=80,\n",
+    "    range=[xmin, xmax],\n",
+    "    color=\"#F05342\",\n",
+    "    alpha=0.5,\n",
+    "    label=\"lost\",\n",
+    "    density=True,\n",
+    ")\n",
+    "plt.hist(\n",
+    "    array[~array.lost][\"match_zmag\"],\n",
+    "    bins=80,\n",
+    "    range=[xmin, xmax],\n",
+    "    color=\"#107E7D\",\n",
+    "    alpha=0.5,\n",
+    "    label=\"found\",\n",
+    "    density=True,\n",
+    ")\n",
     "plt.xlabel(r\"z$_{Mag}$ [mm]\")\n",
     "plt.ylabel(\"Number of Tracks (normalised)\")\n",
     "plt.legend(loc=\"best\")\n",
-    "mplhep.lhcb.text(\"Simulation\",loc=0)\n",
-    "plt.show()\n",
-    "# plt.savefig(\n",
-    "#     \"/work/cetin/Projektpraktikum/thesis/match_zmag_lost_found.pdf\",\n",
-    "#     format=\"PDF\")"
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
+    "# plt.show()\n",
+    "plt.savefig(\"/work/cetin/Projektpraktikum/thesis/match_zmag_lost_found.pdf\",\n",
+    "            format=\"PDF\")"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 29,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "50501"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
-    "ak.num(array, axis=0)"
+    "brem vtx 2d hists in trackinglosses_energy notebook\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/notebooks/trackinglosses_energy.ipynb b/notebooks/trackinglosses_energy.ipynb
index beeb1af..56018b8 100644
--- a/notebooks/trackinglosses_energy.ipynb
+++ b/notebooks/trackinglosses_energy.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,19 +12,22 @@
     "from mpl_toolkits import mplot3d\n",
     "import awkward as ak\n",
     "from scipy.optimize import curve_fit\n",
+    "import mplhep\n",
+    "mplhep.style.use([\"LHCbTex2\"])\n",
+    "plt.rcParams[\"savefig.dpi\"] = 600\n",
     "%matplotlib inline"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "41978 8523\n",
+      "40402 10099\n",
       "50501\n"
      ]
     }
@@ -32,17 +35,15 @@
    "source": [
     "# file = uproot.open(\"tracking_losses_ntuple_Bd2KstEE.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\")\n",
     "file = uproot.open(\n",
-    "    \"tracking_losses_ntuple_B_EndVeloP.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
+    "    \"/work/cetin/Projektpraktikum/tracking_losses_ntuple_B_zmag.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
     ")\n",
     "\n",
     "# selektiere nur elektronen von B->K*ee\n",
     "allcolumns = file.arrays()\n",
-    "found = allcolumns[\n",
-    "    (allcolumns.isElectron) & (~allcolumns.lost) & (allcolumns.fromB)\n",
-    "]  # B: 9056\n",
-    "lost = allcolumns[\n",
-    "    (allcolumns.isElectron) & (allcolumns.lost) & (allcolumns.fromB)\n",
-    "]  # B: 1466\n",
+    "found = allcolumns[(allcolumns.isElectron) & (~allcolumns.lost) &\n",
+    "                   (allcolumns.fromB)]  # B: 9056\n",
+    "lost = allcolumns[(allcolumns.isElectron) & (allcolumns.lost) &\n",
+    "                  (allcolumns.fromB)]  # B: 1466\n",
     "\n",
     "electrons = allcolumns[(allcolumns.isElectron) & (allcolumns.fromB)]\n",
     "\n",
@@ -53,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -137,14 +138,14 @@
        "    isProton: bool,\n",
        "    lost: bool,\n",
        "    lost_in_track_fit: bool,\n",
+       "    match_chi2: float32,\n",
+       "    match_dSlope: float32,\n",
+       "    match_dSlopeY: float32,\n",
+       "    match_distX: float32,\n",
+       "    match_distY: float32,\n",
        "    match_fraction: float32,\n",
-       "    mc_chi2: float32,\n",
-       "    mc_dSlope: float32,\n",
-       "    mc_dSlopeY: float32,\n",
-       "    mc_distX: float32,\n",
-       "    mc_distY: float32,\n",
-       "    mc_teta2: float32,\n",
-       "    mc_zMag: float32,\n",
+       "    match_teta2: float32,\n",
+       "    match_zmag: float32,\n",
        "    mcp_idx: int32,\n",
        "    mother_id: int32,\n",
        "    mother_key: int32,\n",
@@ -153,6 +154,7 @@
        "    originvtx_y: float64,\n",
        "    originvtx_z: float64,\n",
        "    p: float64,\n",
+       "    p_end_scifi: float64,\n",
        "    p_end_ut: float64,\n",
        "    p_end_velo: float64,\n",
        "    phi: float64,\n",
@@ -161,7 +163,6 @@
        "    px: float64,\n",
        "    py: float64,\n",
        "    pz: float64,\n",
-       "    quality: int32,\n",
        "    rad_length_frac: float64,\n",
        "    scifi_hit_pos_x_length: int32,\n",
        "    scifi_hit_pos_x: var * float32,\n",
@@ -197,7 +198,7 @@
        "<Record {all_endvtx_types_length: 7, ...} type='{all_endvtx_types_length: i...'>"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -208,7 +209,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -236,7 +237,7 @@
        "<Record {lost: True, rad_length_frac: ..., ...} type='{lost: bool, rad_leng...'>"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -273,12 +274,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
     "photon_cut = 0\n",
-    "photon_cut_ratio = 0.2\n",
+    "photon_cut_ratio = 0.1\n",
     "\n",
     "cut_brem = ak.ArrayBuilder()\n",
     "\n",
@@ -296,11 +297,10 @@
     "    cut_brem.field(\"brem_photons_pe\")\n",
     "    cut_brem.begin_list()\n",
     "    for jentry in range(brem[itr, \"photon_length\"]):\n",
-    "        if (\n",
-    "            brem[itr, \"brem_vtx_z\", jentry] > 2700\n",
-    "            or brem[itr, \"brem_photons_pe\", jentry] < photon_cut\n",
-    "            or brem[itr, \"brem_photons_pe\", jentry] < photon_cut_ratio * tmp_energy\n",
-    "        ):\n",
+    "        if (brem[itr, \"brem_vtx_z\", jentry] > 9410\n",
+    "                or brem[itr, \"brem_photons_pe\", jentry] < photon_cut\n",
+    "                or brem[itr, \"brem_photons_pe\",\n",
+    "                        jentry] < photon_cut_ratio * tmp_energy):\n",
     "            ph_length -= 1\n",
     "            continue\n",
     "        else:\n",
@@ -313,11 +313,10 @@
     "    cut_brem.field(\"brem_vtx_x\")\n",
     "    cut_brem.begin_list()\n",
     "    for jentry in range(brem[itr, \"photon_length\"]):\n",
-    "        if (\n",
-    "            brem[itr, \"brem_vtx_z\", jentry] > 2700\n",
-    "            or brem[itr, \"brem_photons_pe\", jentry] < photon_cut\n",
-    "            or brem[itr, \"brem_photons_pe\", jentry] < photon_cut_ratio * tmp_energy\n",
-    "        ):\n",
+    "        if (brem[itr, \"brem_vtx_z\", jentry] > 9410\n",
+    "                or brem[itr, \"brem_photons_pe\", jentry] < photon_cut\n",
+    "                or brem[itr, \"brem_photons_pe\",\n",
+    "                        jentry] < photon_cut_ratio * tmp_energy):\n",
     "            continue\n",
     "        else:\n",
     "            cut_brem.real(brem[itr, \"brem_vtx_x\", jentry])\n",
@@ -329,11 +328,10 @@
     "    cut_brem.field(\"brem_vtx_z\")\n",
     "    cut_brem.begin_list()\n",
     "    for jentry in range(brem[itr, \"photon_length\"]):\n",
-    "        if (\n",
-    "            brem[itr, \"brem_vtx_z\", jentry] > 2700\n",
-    "            or brem[itr, \"brem_photons_pe\", jentry] < photon_cut\n",
-    "            or brem[itr, \"brem_photons_pe\", jentry] < photon_cut_ratio * tmp_energy\n",
-    "        ):\n",
+    "        if (brem[itr, \"brem_vtx_z\", jentry] > 9410\n",
+    "                or brem[itr, \"brem_photons_pe\", jentry] < photon_cut\n",
+    "                or brem[itr, \"brem_photons_pe\",\n",
+    "                        jentry] < photon_cut_ratio * tmp_energy):\n",
     "            continue\n",
     "        else:\n",
     "            cut_brem.real(brem[itr, \"brem_vtx_z\", jentry])\n",
@@ -349,14 +347,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "24758\n",
+      "63793\n",
       "50501\n"
      ]
     },
@@ -367,11 +365,11 @@
        " lost: True,\n",
        " rad_length_frac: 0.129,\n",
        " energy: 1.17e+04,\n",
-       " brem_photons_pe: [2.62e+03, 2.54e+03, 1.86e+03],\n",
-       " brem_vtx_x: [-6.97, -52.9, -55.2],\n",
-       " brem_vtx_z: [112, 859, 895],\n",
-       " photon_length: 3}\n",
-       "-------------------------------------------------\n",
+       " brem_photons_pe: [2.62e+03, 2.54e+03, 1.86e+03, 3.12e+03],\n",
+       " brem_vtx_x: [-6.97, -52.9, -55.2, -1.71e+03],\n",
+       " brem_vtx_z: [112, 859, 895, 8.7e+03],\n",
+       " photon_length: 4}\n",
+       "-----------------------------------------------------------\n",
        "type: {\n",
        "    event_id: int64,\n",
        "    lost: bool,\n",
@@ -387,7 +385,7 @@
        "<Record {event_id: 0, lost: True, ...} type='{event_id: int64, lost: bool, ...'>"
       ]
      },
-     "execution_count": 125,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -407,7 +405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -425,7 +423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -460,7 +458,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -477,11 +475,11 @@
        " lost: False,\n",
        " rad_length_frac: 0.148,\n",
        " energy: 1.28e+04,\n",
-       " brem_photons_pe: [7.42e+03],\n",
-       " brem_vtx_x: [-3.61],\n",
-       " brem_vtx_z: [35.6],\n",
-       " photon_length: 1}\n",
-       "-----------------------------------\n",
+       " brem_photons_pe: [7.42e+03, 1.88e+03],\n",
+       " brem_vtx_x: [-3.61, -61.5],\n",
+       " brem_vtx_z: [35.6, 8.49e+03],\n",
+       " photon_length: 2}\n",
+       "---------------------------------------\n",
        "type: {\n",
        "    event_id: int64,\n",
        "    lost: bool,\n",
@@ -497,7 +495,7 @@
        "<Record {event_id: 1, lost: False, ...} type='{event_id: int64, lost: bool,...'>"
       ]
      },
-     "execution_count": 128,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -513,7 +511,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -527,14 +525,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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AAACQlCcdhP3FX/xFPH/+PH71q19FREShUEi4IgAAAACS8lnSBYzyD//hP7z3a5vNZkREXF5eRkTE0tJSlEqlqdQFAAAAwOKZ6yDs9PQ0lpaW+mHWfQy+fhp3oQQAAABgMS3E1MilpaV7fUR86gjLZrPxp3/6p5HJZBL+SgAAAABIylx3hEX87dTGbDYbz549G/t12Ww2CoVCfPnll/HP/tk/e6zyAAAAAFgQcx+E7e/vxz/9p/806TIAAAAAWHBzHYQVCgUhGHPt9evpjgMAAAAez1yvEVapVJIuAQAAAIAnYq6DsK+++irpEgAAAAB4IuY6CAMAAACAaRGEAQAAAJAKTzoI+9WvfhWvXr2KH/3oR/H7v//70el0ki4JAAAAgIQ86SCsUqnE4eFhXF5exsnJSbx8+TLpkgAAAABIyGdJF/CY6vV6LC0tRUTE5eVlHB8fJ1wRo7Rarcjn8yPH7OzsxM7OzowqAgAAACZRrVajWq2OHNNqtWZUzXVPOgh78eJFvHnzph+GlUqlhCtilG63G+fn5yPHmN4KAAAA86vT6dx5bZ+kJx2EHRwcRETEt99+G8ViMd68eZNwRYyyvLwcuVxu5JhMJjOjagAAAIBJZTKZWF1dHTmm1WpFt9udUUXDli4vLy8T2TP8/+Xz+Tg/P4/V1dU4OztLupyJvH493XEAAADw1CWZAzzpxfIBAAAAoEcQBgAAAEAqPPkg7Fe/+lV8/fXXSZcBAAAAQMKefBD2W7/1W3F8fBy///u/n3QpAAAAACToyQdhERHPnz+Pk5OT+Of//J8nXQoAAAAACfks6QIm8ctf/jLa7XZ8/Phx7Nc0Go04PDyMy8vLODg4iD/8wz98xAoBAAAAmFdzH4T923/7b+Pg4CDq9fqDt9Vutx9eEAAAAAALaa6DsD/6oz+KP/iDP4iIiMvLy3tvZ2lpKZaWlqJYLE6rNAAAAAAWzNyuEfaf/tN/ikqlEhE3h2BLS0tjbWdpaSkuLy/jiy++iDdv3ky1RgAAAAAWx9x2hB0cHETEp7s+bm1txdraWhQKhYiIuLi4iJcvX8bKykq8e/fuxte32+340z/90/iTP/mTaDQa8bu/+7uzKh0AAACAOTS3QVi9Xo+1tbX4L//lv9z4/FdffRV/8id/Emtra/Hbv/3bN475x//4H0dExB/8wR/Ev//3//6xSgUAAABgAcxtENZsNkcukP8Hf/AH8ebNm9jf349/+S//5a3jKpVK/M7v/E788R//cfyTf/JPHqNUAAAApuE/vE66gsX0k9dJVwALY27XCIuIeP78+a3PffHFF/HixYs4ODiITqdz67hCoRC/93u/F7u7uyPHAQAAAA8zqqEF5sHcBmHFYjE+fvw4ckylUonLy8v+nSVv8+WXX8bl5WX8i3/xL6ZZIgAAAKRas9mMWq0W5XI5lpaWolwuJ10SjDS3QVihUIharTZyTKlUit/7vd+Lg4OD+M//+T/fOu7Dhw8REXF4eDjVGgEAACCNms1mrK+vx/r6emxvb+sEY2HMbRD28uXL2Nvbiz/+4z+OX/7yl/Fnf/Zn8Wd/9mfXxn399ddxeXkZxWIx/t2/+3fXnv+jP/qjaDQaEfHpGxUAAAB4mEKhECcnJ3FxcRG7u7tJlwNjm9vF8jc2NiKTycTu7u7QN9X6+nr8x//4H4fGvXjxIr799tvY2NiIYrHYX1usXq8PhV+FQmF2XwAAAACkQLlcjv39/aTLgLHMbUdYRMSbN2/i8vIyIiIuLy/j8vIyTk5O4i/+4i+Gxh0cHPQ/bzQaUavVolarxenpaf/1S0tLUSwWZ1Y7AAAApMGzZ8+SLuHetre3ky6BGZvrIGxjYyPevXvXD7MiIrLZbPzu7/7u0LhCoRB/+qd/OjQu4lP4tbS01H/dmzdvHr1mAAAAYP71mmhIl7kOwiI+hWEXFxdxcHAQe3t7t67zVSqV4r/+1/8a/+gf/aN+91jvo1gsxocPHyKTycy4egAAAGDeNJtN3WApNbdrhA36rd/6rfjqq6/uHFcoFOL4+Dh+9atf9e8UWSgU4osvvnjsEgEAAIAF0G63o1wuJ10GCVmIIGxSv/VbvxUvXrxIugwAAABgjrTb7Xjx4sWts814+uZ+aiQAAADwtLTb7djf349yuRwrKyuxtLQUKysrsb6+HpVKZeygql6vR7lcjrW1tVhZWel/9P5vUKPRiC+++CIajcbQ//fWF19aWrr2Gp4eQRgAAAAwM7VaLVZWVqJSqUS5XI5vv/02Tk9P+ze429/fj7W1tdjc3By5nc3NzSiXy7G5uRmnp6dxcXERFxcX8fLly6jX69FsNqPdbvfHFwqF+Pbbb2Nvb29oOycnJ/2Pw8PDqX+9zJcnOTUSAAAAmD+VSiX29/cjm83GyclJFAqF/nOFQiE2NjZic3Mzjo6O4ujoKNbW1uLk5CSy2ezQdvb39+Po6Ch2d3dja2tr6LmDg4OIiGt3hMxms1EsFuPjx49D/18sFqf4FTLvdIQBAAAAj65Wq8X+/n5EROzt7Q2FYIMODw/7zzWbzRs7w3ph1+eff37jNnpdX1dDLxCEAQAAAI+uUqlExKfOrKtdXLeNjfi0Dli9Xh96vreG2Nu3b298fTabjY2NjYeUyxMlCGNutFqtyOfzIz+q1WrSZQIAADChWq3WX6/rtk6wQVtbW0PTIa+u69XbRqPRiHK5PLQW2OBrxtkX01WtVu+8tm+1WonVZ40w5ka3243z8/ORYzqdzoyqAQAAYFqOj4/7n48bTpVKpTg6OoqIuNYRVqlUYnt7u//cF198EXt7e0OdZkKwZHQ6nTuv7ZMkCGNuLC8vRy6XGzkmk8nMqBoAAACmpTeVcRJXg6x2u93vEtva2orj4+N+UNZut2N7ezv29vZib2/PtMgEZTKZWF1dHTmm1WpFt9udUUXDBGHMjVwuF2dnZ0mXAQAAwJQNTl0cNxRbW1sbevzx48eh6ZKHh4exv78/tJ5Yb3H9UqkUBwcHusISsLOzEzs7OyPH5PP5xLrGrBEGAAAAPKrBAGvcIOzZs2dDj28KtXZ3d+Pi4uJaB1i9Xo+1tbVoNBqTF8uTJggDAAAAHtVgiNVut29c3P6qjx8/3vj6q7LZbBweHsbJyUmUSqWh5168eDF5sTxpgjAAAADgUb169Wroca1Wu/M1p6en/c+vdnxtbm5eG18sFuP4+DgODg76/9dut/vriEGEIAwAAAB4ZBsbG0PTIwfDqtsM3iny66+/HnpuVLi1tbUVu7u7/ceDnWUgCAMAAAAe3Zs3b/qfN5vNoaDrqkaj0V/fa29vbyhE6xnVVVYul/ufX50ueXWa5dU1y8aZtsniEoQBAAAA93a14+q2IGljYyP29vb6jzc3N28c226346uvvoqI691dgyqVyq376oVopVLpWvB19fH29na02+1oNpuxvb091rRNFpcgDAAAALi3q9Mc3717d+vY3d3dODw8jGw2G+12O7744ouo1WrRbDaj2WxGrVaL9fX1aDQasbe3N3IKZe/1V6dJHh0dRaVSiWKxGIeHh7fW0VOv12NlZSXW1tauPcfTs3R5eXmZdBGkWz6fj/Pz81hdXY2zs7Oky5nI69fTHQcAALAIel1b9Xr9xq6sYrEYz58/Hxlk1Wq1ODw8jA8fPkS73Y5sNhuFQiFevXoVW1tbN06H7Nnc3IxyuRx7e3v9qY2FQiE+fvwYz58/j83Nzdja2hr5NVQqlTg6OopmsxnFYjG+/vrra4vy8ziSzAEEYSROEAYAAADpkWQOYGokAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUuGzpAuAhfb9+zEH/vTxagAAAADGoiMMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVPku6AAAAAIiIeP066QoWk+MG49MRBgAAAEAqCMIAAACAqWk0GrG9vR1ra2uxtLQUKysrsb6+HkdHR0mXNrfa7XbUarVoNBpJl/LkCcIAAACAqahUKrG+vh7lcjmOj49ja2sr2u12NBqN2NzcjP39/aRLnBvNZjP29/ejXC7HyspKbG9vx4cPH5Iu68mzRhgAAADwYLVaLfb392N3dzc2NjYiIuLg4CA+fvzY7wY7Pj6O3d3dJMucC0dHR/H27dtoNBrRbDaTLidVBGEAAADAg1UqlYiIKJfLQ/9/eHgY5XI5ms1mf0zabWxs9MPCpaWlhKtJF0EYAAAA8CBHR0fRbrcjIuLZs2fXnj8+Pp5xRYujUCjoCpsha4QBAAAAD3JwcND/PJvNJlcI3EEQBgAAADyIjiYWhSAMAAAAeBBBGItCEAYAAABAKgjCAAAAgIk0m81YWlrqfwxaW1sbem7UXRHb7Xbs7+9HuVyOlZWVWFpaipWVlVhfX49KpXJrp1mtVov19fU791Mul2+sp7ew/01f1/7+fqytrUWj0bhxf2tra7G5uXnrNm77GtfX12NlZSVWVlaiXC7H/v7+WK9nugRhAAAAwEQKhUKcnJzEycnJtTtCHhwc9J/rfdykVqvFyspKVCqVKJfL8e2338bp6Wm8efMmIqIfSG1ubl577dbWVpycnMTW1tbIOo+Pj+P09DT29vZuHdNut6NSqcTa2lqsra0NBXDtdjvW19dje3u7H4w1m804OjqKL7744s4pob1xlUolSqVSHB4exsnJSWxvb8fBwUGsra3Fx48fR26D6RKEAQAAABMrFotRLBajVCoN/f/z58/7z/U+rqpUKrG9vR3ZbDZOT09jd3c3isViFAqF2NjYiJOTk9jY2IiIT2HS2trajR1YN4VkN+lt6yYfP36Mcrl87ev48OFDfPHFF1EoFPqB2sHBQf+umO12O7a3t2/dbq1W69d3cnISe3t7USqV+l/j6elpZLPZsTvLmA5B2IJrNptRLpfj6OjoQdu52oraS93r9fqUKgUAAIBPAVFvWuDe3l4UCoUbxx0eHvafazabY4deN3n27NmtzxUKhSiVSnFwcDD0/5VKJQ4PD+Pw8LAfYG1tbfU71iIi6vX6jUFWo9Hoh2R7e3s3hoERn75GZksQtqDa7XZsbm7G2tpa1Ov1e7dS1uv1fitqxKdvwl7baKPRiHK5HOVyWUINAADAVPSuP7PZ7J1TG3tjIz5dvz52s0av2ysi4s2bN9e6xCKud5d9+PDh2pivvvqqv71RX2OhUBjaJ49PELZgenOXV1ZWHtwFVq/X+yHX1tZWHB8fX2vTLBaLUa/XY319XRgGAADAg9Rqtf615W2dYIO2traGgqJRa33N0mDtV9cJq9fr/fXEbgrSrhrVrcb0CcIWSO8uE4N3rrivXkdZxKdv4KstoD29Ns2HtqECAADA4ML64wRhEcNh0iIs3zM43XHcr5HZEYQtiEajEaVSKU5PT+P4+PjW4Gpcg7d6HWw1varXHRbx6Q2nVqs9aL8AAACk1113WbzJ1TBp3mcrDYZ1a2trCVbCTQRhC+LqnTaeP39+7201m82hb8yXL1+OHP/q1av+56NCMwAAABhlMMQaNxS7Gibdd43sWRmsb95DuzQShC2ohyymNzinulQq3bmtwYUA2+32g9cmAwAAIJ0Grz/HDcKurqE179MNB8Ov09PT5ArhRoKwFBqc3njbLVyvGnyjefv27dRrAgAA4OkbvLZst9tjdUwNdljNewgWMXohfZInCEuZqwvtf/nll2O9bjAw0xEGAADAfQwuvRMRY61DPdhVNThjaRKznE45eP1cr9dNj5wzgrCUuXqHjXHT9KvjpnHnSgAAANJlY2NjaHrkODeCG7yO/frrr4eeuzpt8rbQaZadWVfDPmttzxdBWMp89913Q4/HXWvs888/H3r84cOHaZUEAADAE3JX99WbN2/6n1+9mdtVjUaj34ixt7d37Rr26nI/N3WYNZvNa2HUY3aIbWxsDNVVq9Vu7XxrNBpDIZ01xR6fICxlrqbg9+0I880JAABAxPXrzLumAm5sbAzdxG1zc/PG17Tb7fjqq68iImJrayt2d3dv3F6pVOp/XqlUYnt7O+r1ehwdHcX29nasra1dC9Fu6xAbdxrj4Otves3h4eHQ4+3t7dje3u6/rtlsxv7+frx48WKorv39/dje3tZF9ogEYSkzrXZQc5wBAACIuD69cZzpjru7u3F4eBjZbDba7XZ88cUXUavVotlsRrPZjFqtFuvr69FoNGJvb2/kNnvb6anValEul2NzczPevXsXx8fHQ2FZxKfArNlsDl3bXu1MOz4+vnF/44wrFApxeno61FRSq9VibW0tlpaWYm1tLb755pv49ttvh6Z3FgqFyGazsb29fevXy8N8lnQBzNZ9A6yr7aeP0UbaarUin88/eDs7Ozuxs7MzhYoAAAC4SW+64dWpfRGfgqKVlZV4/vx5FIvFoe6vQRsbG7GxsRG1Wi0ODw+jUqlEu92ObDYbhUIhtre3Y2tr684lfbLZbPziF7+ISqUS9Xo9ms1mFIvFKJVKQ/suFApRKpVie3t7KKBqNBr91w6q1WpRr9ejVCrFwcFBNJvNfrfZ1a93bW0ttre3h7rWemHY/v5+vH37th+89erodakN1nV1que8qVarUa1WH7ydVqs1hWruRxDGvTxGR1i3243z8/MHb6fT6UyhGgAAYNZev066AsZVKBSuTf+7r62trdja2nrQNrLZ7J2daCcnJzf+f7FYvLX7a1ChUBhr3FW7u7u3TuuMuL3zbB51Op2pXLcnSRCWMr2202lsZ9qWl5cjl8s9eDuZTGYK1QAAAACDMplMrK6uPng7rVYrut3uFCqanCAsZZ49ezaVIOzqLWqnIZfLxdnZ2dS3CwAAADzctJYiyufziXWWWSw/Ze7byXU1PHuMjjAAAACAxyQIS5nnz58PPR63O+zq4vhra2vTKgkAAABgJgRhKbO+vj70+OrdPW5zeno69PjqrWcBAAAA5p0gLGWudoSNG4QNdo71bu8KAAAAsEgEYSlTLBaH1vf67rvvxnrdhw8f+p9fDdMAAAAAFoG7RqbQy5cvo1arRUREo9EY6zWD4yqVyqPU1Wq1Ip/PjxwzrTtUAAAAANNXrVajWq2OHNNqtWZUzXWCsBTa3t7uB2H1ev3O8YNjCoXCo60P1u1277x9aqfTeZR9AwAAAA/X6XTuvLZPkiBsQY17t8ebFIvFKJVK/YDr6OgoNjY2bh1/eHjY//yxusEiIpaXlyOXy40ck8lkHm3/AAAAwMNkMplYXV0dOabVakW3251RRcMEYQvq6iL3kwZjBwcHsba2FhER33zzza1BWLvd7nePlUql2NramrzYMeVyuTg7O3u07QMAAACPa5wljfL5fGJdYxbLX0DtdvtaZ9bbt28n2kahUOh3ejUajdjf379x3IsXLyLi050iBzvDAAAAABaNIGxBtNvt2NzcjHK5HCsrK9c6whqNRiwtLUW5XI7Nzc2xFsHf2NiI4+PjyGazUalU+q9rt9tRr9djfX09Go1GFIvF+MUvfjF0t0kAAACARWNq5IJ4rI6sUqkUFxcXsb+/H2/fvo0XL15Eu92ObDYbz58/j8PDw5HrhwEAAAAsCkEYERGxu7sbu7u7SZcBAAAA8GhMjQQAAAAgFXSEMTdarVbk8/mRY8a5+wQAAACQjGq1GtVqdeSYVqs1o2quE4QxN7rd7p23T+10OjOqBgAAAJhUp9O589o+SYIw5sby8nLkcrmRYzKZzIyqAQAAACaVyWRidXV15JhWqxXdbndGFQ0ThDE3crlcnJ2dJV0GAAAAcE/jLGmUz+cT6xqzWD4AAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABS4bOkC4CeVqsV+Xx+5JhxbsMKAAAAJKNarUa1Wh05ptVqzaia6wRhzI1utxvn5+cjx3Q6nRlVAwAAAEyq0+nceW2fJEEYc2N5eTlyudzIMZlMZkbVAAAAAJPKZDKxuro6ckyr1YputzujioYJwpgbuVwuzs7Oki4DAAAAuKdxljTK5/OJdY1ZLB8AAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkwmdJFwA9rVYr8vn8yDE7Ozuxs7Mzo4oAAACASVSr1ahWqyPHtFqtGVVznSCMudHtduP8/HzkmE6nM6NqAAAAgEl1Op07r+2TJAhjbiwvL0culxs5JpPJzKgaAAAAYFKZTCZWV1dHjmm1WtHtdmdU0TBBGHMjl8vF2dlZ0mUAAAAA9zTOkkb5fD6xrjGL5QMAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABS4bOkC4CeVqsV+Xx+5JidnZ3Y2dmZUUUAAADAJKrValSr1ZFjWq3WjKq5ThDG3Oh2u3F+fj5yTKfTmVE1AAAAwKQ6nc6d1/ZJEoQxN5aXlyOXy40ck8lkZlQNAAAAMKlMJhOrq6sjx7Rareh2uzOqaJggjLmRy+Xi7Ows6TIAAACAexpnSaN8Pp9Y15jF8gEAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCp8lXQD0tFqtyOfzI8fs7OzEzs7OjCoCAAAAJlGtVqNarY4c02q1ZlTNdYIw5ka3243z8/ORYzqdzoyqAQAAACbV6XTuvLZPkiCMubG8vBy5XG7kmEwmM6NqAAAAgEllMplYXV0dOabVakW3251RRcMEYcyNXC4XZ2dnSZcBAAAA3NM4Sxrl8/nEusYslg8AAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASIXPki4AelqtVuTz+ZFjdnZ2YmdnZ0YVAQAAAJOoVqtRrVZHjmm1WjOq5jpBGHOj2+3G+fn5yDGdTmdG1QAAAACT6nQ6d17bJ0kQxtxYXl6OXC43ckwmk5lRNQAAAMCkMplMrK6ujhzTarWi2+3OqKJhgjDmRi6Xi7Ozs6TLAAAAAO5pnCWN8vl8Yl1jFssHAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFT4LOkCACb1+vV0xgAAAJAugjDmRqvVinw+P3LMzs5O7OzszKgiAAAAYBLVajWq1erIMa1Wa0bVXCcIY250u904Pz8fOabT6cyoGgAAAGBSnU7nzmv7JAnCmBvLy8uRy+VGjslkMjOqBgAAAJhUJpOJ1dXVkWNarVZ0u90ZVTRMEMbcyOVycXZ2lnQZAAAAwD2Ns6RRPp9PrGvMXSMBAAAASAVBGAAAAACpYGok8CS9fj2dMQAAMJf+w+u7x/xkjDGQMjrCAAAAAEgFHWEAAAAwC7q4IHE6wgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCxfIBAACAh3MzABaAjjAAAAAAUkFHGJBar19PdxwAACyccbq4InRy8WQIwgAAAGBejBtMAfciCAMAAABGE9DxRFgjDAAAAIBU0BEGcIdx1gizjhgAwIxY04oed6nkHgRhAAAApJMgZfYEmSRMEAYAAABPkXW94BpBGAAAAPNhkYObRa59HjmePBKL5QMAAACQCoIwAAAAAFLB1EiAKXBnSQAAgPmnIwwAAACAVBCEAQAAAJAKpkYCzMi4UyNNoQQAmAJ3HQRuIAgDAACA2wjU4EkRhAEAAABP07hB5k/GHMfCs0YYAAAAAKmgIwwAAOApmdcOGFMMgTmgIwwAAACAVNARBgAAwM3G6eKythKwQHSEAQAAAJAKOsIAAADSyJpdQArpCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjCuaTabUS6X4+joKOlSAAAAAKbGXSPpa7fb8dVXX/UDsM3NzYQrgnR6/Xo6Y+bRuHUv6tcHwBMzzl0VfzLGGADmhiCMaLfb8c0338T+/n7SpQAAAItmnMAQYE4IwlJuf38/Dg4OolAoJF0KAACkmw40gEdnjbAUazQaUSqV4vT0NI6Pj+Pg4CDpkgAAAAAejY6wFCsWi0OPnz9/nlAlwLxb1HXLrEkGAMBYdGSmhiCMvmw2m3QJwJgWNZgCAABIkiAM4ImadVgmeAOAW1hMHmBuWCMMAAAAgFTQEQbA3DH1EwBuobsM4EEEYQAAwGKwmDUADyQIAyD1dKABAHAnYfyTIAgDAIA0cSEHQIoJwpgbrVYr8vn8g7ezs7MTOzs7U6gImGc6tACeEOteASyEarUa1Wr1wdtptVpTqOZ+BGHMjW63G+fn5w/eTqfTmUI1AI9n1lMxTf0EEiXkAngyOp3OVK7bkyQIY24sLy9HLpd78HYymcwUqgEA4MkSzgHcSyaTidXV1Qdvp9VqRbfbnUJFkxOEMTdyuVycnZ0lXQakii4gAABgXNNaiiifzyfWWSYIAxbP9+/vHvMPfvrIRUDyFjnINF0TAIAkCMIAYAyCGwAAWHyCMACYQ7MO1QR94399T/04AAA8ZYIwAJiSpx6QPPWvD+BeLLwPsFAEYcyNVqsV+Xx+5JhpLcwHAPAkzTqUEQIBcEW1Wo1qtTpyTKvVmlE11wnCmBvdbvfOu0Z0Op0ZVcPC+/793WMsqA9z7clPVRw3QPjJmOMAAOZAp9NJ7I6Q4xCEMTeWl5cjl8uNHJPJZGZUDQDc31hrrv3fY25snMBMWAZ/S5caQKIymUysrq6OHNNqtaLb7c6oomGCMPra7Xai+8/lcnF2dpZoDQA8TQvbNQYAsGDGWdIon88n1jUmCKOv2WwOPU46GAOAcQi5AAAYlyCMiPgUelUqlaH/e/v2bezu7iZUEQDMJ8EbAMDiWk66AJLTbrdjc3MzyuVyrKysXOsIazQasbS0FOVyOTY3N6PRaCRUKQAAAMDD6QhLsWw2G4eHh0mXAQAAADATgjAAgAS8/vlPxxv3s/d3j3k9xnbGGAMA8NQJwpgbrVYr8vn8yDHj3H0CUuH793eP+Qc/feQigKdoLkO1/zDGDn8yxhgA4NFVq9WoVqsjx7RarRlVc50gjLnR7XbvvH1qp9OZUTUAMB/G6hz7B49exsTGDctmHaqN1WE3ZrfeTI0TBgLAHOh0Onde2ydJEMbcWF5ejlwuN3JMJpOZUTWkwvfvxxunswpg2FihzDhjxuxA+7/H2tR80s0GkC7j/uHiCb/3ZzKZWF1dHTmm1WpFt9udUUXDBGHMjVwuF2dnZ0mXAQCknfBKBxoA9zbOkkb5fD6xrjFBGMCsfP9+vHE60AAmNvMpluPu7/uf3r2tnzykEgBgEoIwgLt8//7uMcIrAACAuScIAwCAAYt6g4JxjfP1jXNTAQBYRIIwABjH9+/vHqMzkDk266mDAADzSBAGAMBEnnrHFADwdAnCAAD4W9+/T7oCUmiscDVM2QTg4QRhAE/V9+/vHmMqH/BYvn+fdAUAANcIwpgbrVYr8vn8yDE7Ozuxs7Mzo4oAAObDvHZMWXgfgKuq1WpUq9WRY1qt1oyquU4Qxtzodrtxfn4+ckyn05lRNQAp8/37u8foIATuYdwQD4CnodPp3HltnyRBGHNjeXk5crncyDGZTGZG1QBDvn9/9xghCfBILM4PAIsjk8nE6urqyDGtViu63e6MKhomCGNu5HK5ODs7S7oMSN7375OuABjl+/d3jxEMM4HXr5Ou4DpdXADc1zhLGuXz+cS6xgRhALCovn8/3jihDKTGUw+wrEkGwEMJwgAAYFLfv0+6AgDgHgRhAPDUff8+6QoAAGAuCMIApuH790lXAPPj+/d3jxlnuuY42xl3Wzx9379PuoL7+/590hUAQGosJ10AAAAAAMyCjjAAZuf79+ONW9QOn+/fjzduUb8+gJSxOD/A06MjDAAAAIBU0BEGALP2/fu7x+gaA7iXcbq4AEgvQRhzo9VqRT6fHzlmZ2cndnZ2ZlQRAAvh+/d3jxEsAk+E6ZrAvKtWq1GtVkeOabVaM6rmOkEYc6Pb7cb5+fnIMZ1OZ0bVAAAAAJPqdDp3XtsnSRDG3FheXo5cLjdyTCaTmVE1AFzz/fukK+Ahvn+fdAUAQApkMplYXV0dOabVakW3251RRcMEYcyNXC4XZ2dnSZcBMB++f590BY/r+/dJVwAAwCMYZ0mjfD6fWNeYu0YCAAAAkAo6wgAAAFJoWnfYtDg/sEgEYQDA0/f9+6QrAJ6oad7FcVrBFAC3E4QBMH++f3/3mH/w00cuAgAAeGoEYQDw/fukKwAAAGbAYvkAAAAApIIgDAAAAIBUMDUSAADgEc16EXyL7sMC+A+v7x7zkzHGMDEdYQAAAACkgo4wAJ6u798nXQHMxvfvk64A4E7jdKq9/tn7xy4DSDlBGHOj1WpFPp8fOWZnZyd2dnZmVBEAADBLwjJYfNVqNarV6sgxrVZrRtVcJwhjbnS73Tg/Px85ptPpzKgaAAAAYFKdTufOa/skCcKYG8vLy5HL5UaOyWQyM6oGmNj375OuAACgT3cZJCOTycTq6urIMa1WK7rd7owqGiYIY27kcrk4OztLugwAAADgnsZZ0iifzyfWNSYIAwAAYGGM0+k1zW3pGoOnRRAGAADAvU0zmAJ4bMtJFwAAAAAAs6AjDCDNvn+fdAUAAAAzoyMMAAAAgFQQhAEAAACQCqZGArCYvn+fdAUAAMCCEYQBAADADIxzh83XP3v/2GVAqpkaCQAAAEAq6AgDAACAW4zTxRUxvU6uWe8P0kZHGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFSwWD5zo9VqRT6fHzlmZ2cndnZ2ZlQRAAAAMIlqtRrVanXkmFarNaNqrhOEMTe63W6cn5+PHNPpdGZUDQAAADCpTqdz57V9kgRhzI3l5eXI5XIjx2QymRlVAwAAAEwqk8nE6urqyDGtViu63e6MKhomCGNu5HK5ODs7S7oMAACAib3++U/nbn+vf/b+scuAa8ZZ0iifzyfWNWaxfAAAAABSQUcYAMC0ff8+6QoAALiBjjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkwmdJFwAAAABM3+uf//TuMT97/9hlwFzREQYAAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVLJYPAAAAKTXOgvoRFtXn6dARBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUsls/caLVakc/nR47Z2dmJnZ2dGVUEAAAATKJarUa1Wh05ptVqzaia6wRhzI1utxvn5+cjx3Q6nRlVAwAAAEyq0+nceW2fJEEYc2N5eTlyudzIMZlMZkbVAAAAAJPKZDKxuro6ckyr1YputzujioYJwpgbuVwuzs7Oki4DAAAAuKdxljTK5/OJdY1ZLB8AAACAVNARBgAAAIz0+uc/vXvMz94/dhnwYDrCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqfJV0AAAAAsPhe//ynd4/52fvHLgNG0hEGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACp8FnSBQAAAAAMev3zn9495mfvH7sMniAdYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqfBZ0gVAT6vVinw+P3LMzs5O7OzszKgiAAAAYBLVajWq1erIMa1Wa0bVXCcIY250u904Pz8fOabT6cyoGgAAAGBSnU7nzmv7JAnCmBvLy8uRy+VGjslkMjOqBgAAAJhUJpOJ1dXVkWNarVZ0u90ZVTRMEMbcyOVycXZ2lnQZAAAAwD2Ns6RRPp9PrGvMYvkAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSwWL5AAAAwEy8/vlPky6BlNMRBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgrtGAgAAAAtnnDtQvv7Z+8cugwWjIwwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFT4LOkCAAAAALjiP7y+e8xPxhjDEB1hAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqSAIm2P7+/tRLpdjZWUllpaWYm1tLTY3N6Ner8+0jmazGeVyOY6Ojma6XwAAAIBp+izpAriuXq/H5uZmtNvtKJVKcXh4GIVCIRqNRlQqlSiXy/3/z2azj1ZHu92Or776qh+AbW5uPtq+AAAAYNpe//yn44372fvHLIM5IgibM/V6PcrlckREbG1txcHBQf+5QqEQGxsbsb6+HvV6PdbX1+Pk5GTqYVi73Y5vvvkm9vf3p7pdAAAAgCSZGjlH2u12v+uqUCgMhWCDDg8PI+LTlMVpd2nt7+/H+vp6NBqNqW4XAAAAIGmCsDnSmw4ZEVGpVG4d1+sMi/jUQVar1aay/0ajEaVSKU5PT+P4+PjWIA4AAABgEQnC5kSz2RxaBP/ly5cjx7969ar/+ajQbBLFYjGKxWL/8fPnz6eyXQAAAIB5IAibE3t7e/3PS6XSnet+9TrCIj5NqXyMOzo+5kL8AAAAALMmCJsTg9MbB7uyRikUCv3P3759O/WaAAAAAJ4SQdgcuLow/ZdffjnW6wYDs8foCAMAAAB4SgRhc2BwbbCI4U6vUa6Oc6dHAAAAgNsJwubAd999N/R43LW5Pv/886HHHz58mFZJAAAAAE+OIGwONJvNocf37Qg7PT2dWk0AAAAAT81nSRfA9SDsvtrt9lS2AwAAAGny+uc/vXvMz94/dhnMgI6wOXDfAOvqFMqPHz8+vBgAAACAJ0pH2BOy6B1hrVYr8vn8g7ezs7MTOzs7U6gIAAAA6KlWq1GtVh+8nVarNYVq7kcQNgey2exUQqxxF9mfV91uN87Pzx+8nU6nM4VqAAAAgEGdTmcq1+1JEoTNgWfPnk0lCHv27NnDi0nQ8vJy5HK5B28nk8lMoRoAAABgUCaTidXV1Qdvp9VqRbfbnUJFkxOEzYH7dnJdDc8WvSMsl8vF2dlZ0mUAAAAAN5jWUkT5fD6xzjKL5c+B58+fDz0etzvs6uL4a2tr0yoJAAAA4MkRhM2B9fX1ocfNZnOs152eng49LpVKU6sJAAAA4KkRhM2Bqx1h4wZhg51j2Ww2CoXCNMsCAAAAeFIEYXOgWCwOre/13XffjfW6Dx8+9D+/GqYBAAAAMMxi+XPi5cuXUavVIiKi0WiM9ZrBcZVK5VHqmqVWqxX5fH7kmGktzAcAAABMX7VajWq1OnJMq9WaUTXXCcLmxPb2dj8Iq9frd44fHFMoFJ7E+mDdbvfOu0Z0Op0ZVQMAAABMqtPpJHZHyHEIwuZEsViMUqnUD7iOjo5iY2Pj1vGHh4f9z+/qBqvVanF6ehrb29sTrSM27t0rp2V5eTlyudzIMZlMZkbVAAAAAJPKZDKxuro6ckyr1YputzujioYJwubIwcFBrK2tRUTEN998c2sQ1m63+91jpVIptra2bt1muVzuh2v7+/txcXExtB7ZKFcX7X/sYCyXy8XZ2dmj7gMAAAB4POMsaZTP5xPrGrNY/hwpFAr9Tq9GoxH7+/s3jnvx4kVEfLpT5GBn2E2uTrN89+7dWLW02+1rnWZv374d67UAAAAA80gQNmc2Njbi+Pg4stlsVCqV2NzcjEajEe12O+r1eqyvr0ej0YhisRi/+MUv7uzuuvr8qKmR7XY7Njc3o1wux8rKyrWOsEajEUtLS1Eul/t1AQAAACwKUyPnUKlUiouLi9jf34+3b9/Gixcvot1uRzabjefPn8fh4eHI9cMGHR4exvb2dnz8+DG2trZGLqo/TocZAAAAwKIShM2x3d3d2N3dfdA2SqVSnJ6eTqkiAAAAgMVlaiQAAAAAqaAjjLnRarUin8+PHDPO3ScAAACAZFSr1ahWqyPHtFqtGVVznSCMudHtdu+8fWqn05lRNQAAAMCkOp3Ondf2SRKEMTeWl5cjl8uNHJPJZGZUDQAAADCpTCYTq6urI8e0Wq3odrszqmiYIIy5kcvl4uzsLOkyAAAAgHsaZ0mjfD6fWNeYxfIBAAAASAVBGAAAAACpIAgDAAAAIBWsEQYAAABwh9c//+ndY372/rHL4IF0hAEAAACQCoIwAAAAAFJBEAYAAABAKlgjjLnRarUin8+PHLOzsxM7OzszqggAAACYRLVajWq1OnJMq9WaUTXXCcKYG91uN87Pz0eO6XQ6M6oGAAAAmFSn07nz2j5JgjDmxvLycuRyuZFjMpnMjKoBAAAAJpXJZGJ1dXXkmFarFd1ud0YVDROEMTdyuVycnZ0lXQYAAABwT+MsaZTP5xPrGrNYPgAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEiFz5IuAHparVbk8/mRY3Z2dmJnZ2dGFQEAAACTqFarUa1WR45ptVozquY6QRhzo9vtxvn5+cgxnU5nRtUAAAAAk+p0Onde2ydJEMbcWF5ejlwuN3JMJpOZUTUAAADApDKZTKyuro4c02q1otvtzqiiYYIw5kYul4uzs7OkywAAAADuaZwljfL5fGJdYxbLBwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKTCZ0kXAD2tVivy+fzIMTs7O7GzszOjigAAAIBJVKvVqFarI8e0Wq0ZVXOdIIy50e124/z8fOSYTqczo2oAAACASXU6nTuv7ZMkCGNuLC8vRy6XGzkmk8nMqBoAAABgUplMJlZXV0eOabVa0e12Z1TRMEEYcyOXy8XZ2VnSZQAAAAD3NM6SRvl8PrGuMYvlAwAAAJAKgjAAAAAAUsHUSAAAAIApeP3zn4437mfvH7MMRtARBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEiFz5IuAHparVbk8/mRY3Z2dmJnZ2dGFQEAAACTqFarUa1WR45ptVozquY6QRhzo9vtxvn5+cgxnU5nRtUAAAAAk+p0Onde2ydJEMbcWF5ejlwuN3JMJpOZUTUAAADApDKZTKyuro4c02q1otvtzqiiYYIw5kYul4uzs7OkywAAAADuaZwljfL5fGJdYxbLBwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFT4LOkCoKfVakU+nx85ZmdnJ3Z2dmZUEQAAADCJarUa1Wp15JhWqzWjaq4ThDE3ut1unJ+fjxzT6XRmVA0AAAAwqU6nc+e1fZIEYcyN5eXlyOVyI8dkMpkZVQMAAABMKpPJxOrq6sgxrVYrut3ujCoaJghjbuRyuTg7O0u6DAAAAOCexlnSKJ/PJ9Y1ZrF8AAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEiFz5IuAHparVbk8/mRY3Z2dmJnZ2dGFQEAAACTqFarUa1WR45ptVozquY6QRhzo9vtxvn5+cgxnU5nRtUAAAAAk+p0Onde2ydJEMbcWF5ejlwuN3JMJpOZUTUAAADwOF7//Kd3j/nZ+8cu41FkMplYXV0dOabVakW3251RRcMEYcyNXC4XZ2dnSZcBAAAA3NM4Sxrl8/nEusYslg8AAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIGxK9vf3o1wux8rKSiwtLcXa2lpsbm5GvV5f+H03m80ol8txdHQ0le0BAAAAJEEQ9kD1ej1WVlaiUqlERMTh4WGcnp7G3t5eNBqNKJfLUS6Xo91uL9y+2+12bG5uxtraWtTr9fj48eMUqwcAAACYrc+SLmCR1ev1KJfLERGxtbUVBwcH/ecKhUJsbGzE+vp61Ov1WF9fj5OTk8hms3O/73a7Hd98803s7+9PpVYAAACAeaAj7J563VIRn4KnwSBq0OHhYUR8ml7YGz/P+97f34/19fVoNBpTqRUAAABgXgjC7mlzc7M/5bA3NfEmve6siE9dXLVabW733Wg0olQqxenpaRwfH98asAEAAAAsIkHYPTSbzaGF6F++fDly/KtXr/qfjwqukt53sViMYrHYf/z8+fN7VgkAAAAwfwRh97C3t9f/vFQq3bn2Vq8rK+LTtMaH3H1xlvue1npmAAAAAPNAEHYPg1MMBzuoRikUCv3P3759u5D7BgAAAFhkgrAJXV1E/ssvvxzrdYOh1X07wpLcNwAAAMCiE4RNaHB9rojhbqtRro67z10Zk9w3AAAAwKIThE3ou+++G3o87jpan3/++dDjDx8+LNS+AQAAABadIGxCzWZz6PF9u7JOT08Xat8AAAAAi04QNqGrYdR9tdvthdo3AAAAwKIThE3oviHS1WmMHz9+XKh9AwAAACy6z5IuIK2S7Mqa146wVqsV+Xz+wdvZ2dmJnZ2dKVQEAAAA9FSr1ahWqw/eTqvVmkI19yMIm1A2m51KkDTuQvfzsu9Z6Ha7cX5+/uDtdDqdKVQDAAAADOp0OlO5bk+SIGxCz549m0oY9ezZs4Xa9ywsLy9HLpd78HYymcwUqgEAAAAGZTKZWF1dffB2Wq1WdLvdKVQ0OUHYhO7bTXU1wLpvR1hS+56FXC4XZ2dnSZcBAAAA3GBaSxHl8/nEOssslj+h58+fDz0et0Pr6gL1a2trC7VvAAAAgEUnCJvQ+vr60ONmsznW605PT4cel0qlhdo3AAAAwKIThE3oalfWuGHUYPdWNpuNQqGwUPsGAAAAWHSCsAkVi8WhNba+++67sV734cOH/udXA61F2DcAAADAohOE3cPLly/7nzcajbFeMziuUqks5L4fW6vVinw+P/KjWq0mXSYAAABwi2q1eue1favVSqw+d428h+3t7ajVahERUa/X7xw/OKZQKDxoja4k9/3Yut3unXeN6HQ6M6oGAAAAmFSn00nsjpDjEITdQ7FYjFKp1A+Zjo6OYmNj49bxh4eH/c/v6siq1Wpxenoa29vbN67l9Zj7vmrcu1JOy/LycuRyuZFjMpnMjKoBAAAAJpXJZGJ1dXXkmFarFd1ud0YVDVu6vLy8TGTPC67ZbMba2lpEfAqnTk5ObhzXbrdjZWUlIj7drfH4+PjWbZbL5aEOrouLi6E1wR5z3zc5OjqKzc3N/uO9vb3Y3d2daBvjyOfzcX5+Hqurq3F2djb17T+m1z97P964n//0MctInXGPOwAAwKIa67rnJ68fuYrHkWQOYI2weyoUCv1uq0ajEfv7+zeOe/HiRUR8ulvjYHfWTa5OdXz37t3M9n1Vu92+1kH29u3bibYBAAAAME8EYQ+wsbERx8fHkc1mo1KpxObmZjQajWi321Gv12N9fT0ajUYUi8X4xS9+cWN316Crz980NfKx9h3xKfza3NyMcrkcKysr0Ww2h55vNBqxtLQU5XK5vz8AAACARWGNsAcqlUpxcXER+/v78fbt23jx4kW02+3IZrPx/PnzODw8HLmG16DDw8PY3t6Ojx8/xtbW1p0L209z3xH36xwDAAAAWBSCsCnZ3d198PpZpVIpTk9PE9k3AAAAwFNnaiQAAAAAqaAjjLnRarUin8+PHLOzsxM7OzszqggAAACYRLVajWq1OnJMq9WaUTXXCcKYG91uN87Pz0eO6XQ6M6oGAAAAmFSn07nz2j5JgjDmxvLycuRyuZFjMpnMjKoBAAAAJpXJZGJ1dXXkmFarFd1ud0YVDROEMTdyuVycnZ0lXQYAAABwT+MsaZTP5xPrGrNYPgAAAACpIAgDAAAAIBUEYQAAAACkgjXCAAAAAObM65//9O4xP3n8Op4aHWEAAAAApIIgDAAAAIBUMDWSudFqtSKfz48cM85tWAEAAIBkVKvVqFarI8e0Wq0ZVXOdIIy50e124/z8fOSYTqczo2oAAACASXU6nTuv7ZMkCGNuLC8vRy6XGzkmk8nMqBoAAABgUplMJlZXV0eOabVa0e12Z1TRMEEYcyOXy8XZ2VnSZQAAAAD3NM6SRvl8PrGuMYvlAwAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkwmdJFwCLqlqtxvvG/xP/+//2d+P/+j9fJl0OPJo//8t38f/+f//Tuc6T5jwnLZzrpIVznTT48798F69fv49MJhM7OztJl7MwBGHMjVarFfl8fuSYnZ2dufkGr1arcX5+Hj/+u/+HH648aX/+l4fx6//5353rPGnOc9LCuU5aONdJgz//y8P40//432N1dXVurpMjPl0rV6vVkWNardaMqrlOEMbc6Ha7cX5+PnJMp9OZUTUAAADApDqdzp3X9kkShDE3lpeXI5fLjRyTyWRmVA0AAAAwqUwmE6urqyPHtFqt6Ha7M6pomCCMuZHL5eLs7CzpMgAAAIB7GmdJo3w+n1jXmLtGAgAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAWL5ZO4v/qrvxr6l8dXrVaj0+lEJpO5cxHDeVOtVuN94/+J//1/+7vxf/2fL5MuZ2x//pfv4v/9//7nwtW9yBb5mKudSSzyMV/U2he17kW3qMd9UeuOWOzaF9UiH3O1M4kkcwBBGIn79a9/PfQvj69arcb5+Xmsrq4uZBB2fn4eP/67/8dC/ZD68788jF//z/++cHUvskU+5mpnEot8zBe19kWte9Et6nFf1LojFrv2RbXIx1ztTCLJHMDUSAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFdw1krnR7XYjn8+PHLOzs7NwdzkEAACAtKhWq1GtVkeO6Xa7M6rmOkEYc+X8/Hzk851OZ0aVAAAAAJPqdDp3Xtsnaeny8vIy6SJIt6Wlpf7ny8ujZ+v++Mc/jt/8zd987JLG0mq1otvtxtLScvzmbzwbOTaz8r/PqKrx9GpfXl6OXC6XdDkTmeS4z5O/+l8f4/Jy8eqOWNzaF7XuCLUnYVHrjlB7Eha17gi1J2FR645QexIWte4ItSehV/e8Xdf91V/9Vfz6178eOWawI2zWsZQgjMQtLy/P/MQHAAAAkrW0tDTzaZKmRpK43/iN34i//uu/jh/96Efx9//+30+6HAAAAOAR/bf/9t/ib/7mb+Lv/J2/M/N96wgDAAAAIBVGL8gEAAAAAE+EIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhJE6+/v7US6XY2VlJZaWlmJtbS02NzejXq8/6X2TPkmdb41GI7a3t2NtbS2Wlpb6+65UKtFutx9136TTPL639s7/o6OjxGrgaZnH87yn0WjE0dFR7O/vz0U9LLakzvV2ux2VSiXK5XL/Pby371qt9qj7Jl2azWaUy+WZ/Y4wzz8/EnMJKXF8fHyZzWYvI+KyVCpdHh8fX56enl4eHh5eFgqF/v9fXFw8qX2TPkmdbxcXF5cbGxuXETHy4+DgYKr7Jb3m9b11d3e3f74fHh7OdN88PfN4nl9cXFzu7e1dFovFy4i4zGazl7u7u5fHx8d+l+HekjzX9/b2+ufy3t7e5fHx8eXJycnlwcFB/zwvFAqXx8fHU9836XH1d+XH/p14Hn9+zAtBGKlwfHzcf8PZ2tq6cczgD7lpvhkkuW/SJ6nz7eLiov8DdZyP22qDcc3re+tgXYIwHmrezvOLi4vLra2tfk3FYlEwwFQkea73golisXjrmMHz/uTkZGr7Jh0uLi6G/kg2iyBs3n5+zBtBGE/excVFPwkvFAq3jjs9Pe2/WZRKpYXfN+mT5PlWKpX6v0QeHh5enp6e9v/idNMPfgEBDzGv762DdTnPeah5O88PDg6Gzm/dvUxLkud6rxMsIu4MAnp/8Mtms1PZN+mwt7d3WSgU+r8rzyIIm7efH/NIEMaTN/imc9ebzbRbVZPcN+mT1Pl2cHBwGRGXu7u7t445PT3t/9Wp9+EXSe5rXt9bNzY2LguFwlBYIAjjvubpPB/8g0ahULg8PT2d+j5IryTP9cHuxruY9s6kTk5OhjoIe78zP/bvJfP082NeCcJ40gZT7nH+0nN4eDi1i/Qk9036JHm+9f7KNWmNEWFKDROb1/fW3i+3JycngjAebJ7O88GLpGw2m7rpMzyuJM/1waljGxsbd44f3PeoP/7BbU5OTh49CJunnx/zzF0jedL29vb6n5dKpchmsyPHb2xs9D9vt9sPupNHkvsmfZI63xqNRjSbzTg8PLxzbKFQGKqz93qYxDy+tzabzdje3o7d3d0oFotT3z7pMy/n+dW7mp2cnNxZC0wiyXO92Wz2P5/095HPP//83vslvWbx/jkvPz/mnSCMJ23wVsfjXpwUCoX+52/fvl3IfZM+SZ1vb9++ja2trbF/sJdKpaHHP/zww732S3rN43vr5uZmFIvFa0Ev3Nc8nOe1Wi3q9Xr/8cHBwdA+YBqSPNefPXvW/7zZbA4FYzf57rvvbqwB5sk8/PxYBIIwnqyrf9n58ssvx3rd4BvGQ7pkkto36ZPk+fbq1auJLv6v/kBeW1u7135Jp3l8b61UKtFoNMbqioRxzMN53utyHNz21tbWg7YJVyV9rl8NswbP+Zv09pXNZoe6aGBeJP09tUgEYTxZg3/FjBj/LzdXx91n6laS+yZ9kjzfisXiRG3e7XZ7ZA0wyry9tzYajdjf39cpw1TNw3m+ubk59Pjrr7++97bgNkmf68VicSgAqNfr1879nlqt1u8Y0/3LvEr6e2qRCMJ4sgbblyPGn5N9dc7/hw8fFmrfpM8inW9Xpx1cnSoJo8zbuf7ixYvY2NjQKcNUJX2eN5vNoYsg3S88lqTP9YiIN2/eDD0+Ojq6FobV6/V+t9jBwYH3fObWPHxPLQpBGE/W1Qvu+ybip6enC7Vv0meRzrfBH6x+kWRS83Su9y6Url5EwUMlfZ4fHBwMPe79waIXEKytrcXS0lKsrKzE+vp67O/vX+v2hXEkfa5HfOoKuzq1/ejoKNbW1vpdv+VyOQqFQhwfH/vdhbk2D99Ti+KzpAuAx3LXgpfjus8vd0num/RZpPNt8AKrUqk8+v54WublXD86Ooqjo6M4Pj52Bz2mLunzfHCh5YhPC4qvr69fmyrTbrej0WhEo9GISqUSh4eHOseYSNLnes/GxkYcHBwMrRHWbDZjfX09IiJ2d3dNh2QhzMv31CLQEcaTdd9v4KsXNR8/flyofZM+i3K+DU632dvbs6YSE5uHc73dbsfm5mZsbW2Z2sujSPI8bzab1/b/7t272N7ejouLi7i8vIzLy8s4PT291hmzubmZmkWWmY55eE/v2drautYN2VOv11MRDLD45ul7at4JwuAOSf7g80OXWXrs863319RCoRC7u7uPui8Y5SHn+osXL6JQKNx6wQTzYhod7dlsNn7xi1/E1tbW0IVS73vg6vfBV1995XcXZm5a59zW1taNUx8bjUZ88cUXqVhAHCLScQ0qCOPJmtZ0lftsJ8l9kz6LcL41Go2o1WqRzWbj+Pj40fbD05b0ub6/vx+NRuPaejIwTUme51eDsKsB2FVXg4N2ux3ffPPNxPslnZJ+T79qe3s7arVabG1tXetab7fbsb6+fu2ufDBP5u17ap4Jwniynj17lth2ktw36bMI59tXX30VERHffvutKZHcW5Lnem8dpL29vSgWi1OpA26S5Hl+dYHkL7/88s7XXF3vcX9/f+L9kk7z9PtLuVyOWq0Wu7u7cXBwcOP03944YRjzap6+p+adIIwn675J9tVW0Fl2hE1j36TPvJ9v29vb/S4aAQIPkeS5vrm5GcVi0bReHl2S5/l9tlEoFK69t5tCxjjm5feXXqdXqVQaWhT/4ODgxg7gzc3NVEwdY/HMy/fUIhCE8WQ9f/586PG4P7CuLg64tra2UPsmfeb5fKvValGr1eLg4MDdxHiwpM71/f39aDab8ezZs9jc3LzzY7Cub775Zug5i4lzlyTf0+/7c+BqzdO6cxlP2zz8/rK5udkPbm9a+3FjYyNOTk6GgoF2u+3O18ylefieWhSfJV0APJbeLY97ms3mWN0oV6cF3OeuYEnum/SZ1/OtXq/H9vZ2HBwc3Di9ACaV1Ln+ww8/RETcazpMo9EY6o4pFApCYUZK8j39ahfAuBdRVy+a0nDHMR4u6d9fms1m/48TxWLx1qUbisVinJycDJ3ntVot9vb2UtE5w+JI+ntqkegI48m6718nB3/py2az91rPKMl9kz7zeL41Go0ol8uxt7cnBGNq5vFch2lbxN9froYBaVhfhodL+j19sAPsai1X3XS34A8fPtxrv/BYkv6eWiSCMJ6sYrE49IvZd999N9brBn+o3fVDcR73TfrM2/nWbDbjxYsXsbu7az0lpiqpc31vby8uLy/H/hj8BfLw8HDoucH1Z+AmSf/+Muhql8C40nARxcMl/fvL4MX/OFPBrv5hzxRg5k3S31OLRBDGk/by5cv+5+Mu3Do47iHz/5PcN+kzL+dbs9mM9fX12NraGvuCv9lsussYY5uXcx0eU5Ln+eCUmHGnA1+dQunGKIwryXN9cArvuKGvc5t55/ek8QjCeNK2t7f7n4/zy9zgmEKh8KD50Unum/SZh/Ot3W5HuVyOly9fTtT1srm56XxnbPNwrsNjS/I8H7wIajabY60TNhgi+B5jEkme64Odi/fp7tL5yDzye9J4BGE8acViceib+a67dQ3eIvmuNLxWq0WlUrn1B+dj7huuSvJcj/gUgq2vr0ehUOiPveujXq/3F/X0F1bGlfS5DrOQ5HleKpWGLvC/+eabO+sdvJAy/ZdJJHmuv3r1qv/5hw8fxgp9B7eVlsCA6Rn3BiSjuAadkkt44k5PTy8j4jIiLovF4q3jLi4u+uNKpdLIbZZKpf7YiLi8uLiY2b7hNkme68VicWjcJB8HBwcP+bJJoSTP9XEUCoX+dg4PD++9HdItyfP85ORkaNzp6emt2zw+Pu6P29raGutrg0FJnuuD43Z3d0duc/Bc39vbu/PrgqsODw+HzstJzyPXoNMjCCMVBt90bnvD6V3IZ7PZOy+AJrmQn/a+YZQkzvWHhGD+HsN9Jfm+fhdBGNOS5Hl+cHDQH1coFG7c9sXFRf98H3WxBXdJ6ly/uLi4zGazd447PT3tj0tbYMB0DL5fjhNS3cQ16PS4AiE1jo+P+z/ANjY2Lk9OTi4vLi4uj4+P+28CxWJxrDeBwR+YEXF5fHw8s33DXWZ5rm9sbDwoBNM9wEMk+b4+iiCMaZqX31+y2ezl3t7e5cnJyeXJycnl3t5e/znv5UxDUuf6xcXF5dbW1lBnzMHBweXJycnl8fHx5e7u7r07eEi3i4uLy42NjWudXFc/SqVS/5wfxTXo9AjCSJ29vb3LYrE49ItdqVSa6GLl+Pj4slAoXGaz2TvbqKe9bxhXkuc6zJJznTRI8jw/ODi4LJVKQ/suFouXu7u7I6dNwn0kda6fnJxcbm1tDf0xo1AoXG5sbFzu7u6mMixgvrgGnZ6ly8vLywAAAACAJ85dIwEAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAYEGUy+VYWlqK7e3tpEtZSIIwAAAA4Ekql8uxsrISS0tLU/tYWVlJ9Guq1+sREbG5uTn2a57icbivz5IuAAAAAOAxHB8fR0REo9GIFy9eRLvdHno+m83Gy5cvY21trf9/P/zwQ0REtNvtaDab8eHDh6HXPX/+/NHrvs3R0VH/81KpNPbrntpxeAhBGAAAAPCkFYvFePnyZdRqtaH/Pzk5iUKhcOfr6/V6bG5uRrvdjmKx+Fhl3unt27cREbGxsXGv1z+V4/AQpkYCAAAAT97Hjx+HHhcKhbHCn4hP3Vd7e3sREfHll19OvbZx9TrCXr16de9tPIXj8BCCMAAAAODJazQaQ48nmVoY8bdTAZPqhOqtDRZx/46wiMU/Dg8lCAMAAACetN46V4MmWWy+J5vNjt09NW2Hh4cRMXlwNegpHIeHEoQBAAAAT9pgN1XPpIFSb0H5pLx79y4i7hdc9TyF4/BQgjAAAADgSevdNbHnPl1VhUIhDg4OplXSRBqNRv+OjQ8JoRb9OEyDIAwAAAB40nrdVD3lcnnk+JumECapd7fIYrEY2Wz23ttZ9OMwDYIwAAAA4MlqNpv9bqqeuxabr1QqN04jTErvbpHb29v33sZTOA7T8FnSBQAAAAA8ll6I1HPXQu/NZjNqtVpcXFw8dmljaTab/a6sh0yLXPTjMC06wgAAAIAn6+q6WHeFSZubmw+egjhNvQDroTUt+nGYFh1hAAAAwJN1dWpfb12s3jTBjx8/Rrvdjnq9HgcHB9FsNmN3d3fWZd6qtz7Yq1evHrSdRT8O07J0eXl5mXQRAAAAANNWr9fvXBD+JicnJ1EsFh+hosm02+1YWVmJiIjT09ORUxlHWfTjME06wgAAAIAn6ep0wEKhENvb2/HDDz8MdUI1m81oNBoR8WntrHkJf2q1WkR8qvu+IVjE4h+HaRKEAQAAAE/S1QXit7e3b53u12g0Yn19PUql0ixKG0tvWuRdd3e8yyyPw+CdJtvtdhQKhahUKnNzXC2WDwAAADw57Xa7f7fFnlFhTK/76aFrcU1Lu93ud2c9pKZZHYdGoxFra2txdHQUh4eHcXJyEqenp1EsFqNcLkelUpm8+EegIwwAAAB4ct69ezf0+K6pfr0pgvPSudSr/6FTFGdxHNrtdrx48SLa7fa1tcz29vai0WjE/v5+fP7554kvwK8jDAAAAHhyrq6LdVew02w2o1gsRjabfcSqxnd4eBgRES9fvnzQdmZxHL766qtot9uxsbFx41pme3t7EfFp2uTV7rRZE4QBAAAAT05vnaqeu+6aWCwW4+Tk5DFLmkiv/s3Nzalsp2fax6HdbvfXILttOuVgsNYLxZIiCAMAAACelEaj0Z/i1/PQzqpZGlzc/iFTNWdxHL755pv+56OmXPa+jt6dMJMiCAMAAACelKtdUIVC4UFTHq/edfGxTetukbM4DoP7uGlaZM+XX355a12zJAgDAAAAnpRekNTzkK6qWq126x0P2+12bG9vx8rKSqytrcX+/v7IbVUqlVhfX+/fDfI2d001HNcsjkPvaxkVgkXEUAB319f/mNw1EgAAAHgy2u32taDlvutsNRqN2N7evnFdq0aj0b9TYm+/lUolfvjhhxvH1+v12N/fj0KhMHIK4WC31EM6wmZxHAanXd7VaTYYlJ2ent6rjmnQEQYAAAA8GTdNu3v+/PnE2+kFXRERW1tbQ8+12+3Y3NyMr7/+Oo6Pj+Pw8LAfBO3v719blyvibxeJv2ux+N7dIh/SvRUxm+MweAfIZ8+ejb3Njx8/TlzHtOgIAwAAAJ6Mq9MB77Mu1tHRUb97qlQqXXv9N998E3t7e0MdW8ViMdbW1iIi4t27d0OhUaPRiHq9HoVC4c4ur3fv3kXEw+8WOYvjMInBoOymoHBWdIQBAAAAT0K73b62oPu43UftdjtqtVqsr68PhVDb29vXxn7++efXAq3BkOvk5GToud6dFQ8ODkbWMHiXx4fc3XFWx2GSYGxw/w8J1B5KRxgAAACw8HrTFW/6/5WVlXj58mW/Yysi4ocffoh2ux3NZjM+fPhwY5dSNpu9sYNrd3f3xhpevXoVR0dHQ1MGm81mHB0dRalUunO6Y6+Lq1gs3jssmuVxGOzymmS64yTTKKdNEAYAAAAstLW1taHw6apel9OkJu3K6i2CP1hLr5Oqt/bXKL0urpu6r8Yx6+MwGNbdNd1x8PnBIG7WBGEAAADAQkvyLoSDendG7HVH1ev1qNfrcXBwcGeHV7PZ7IdY950WmcRxKJVKUa/X7+wIGwzoHnojgIewRhgAAADAlBQKhX730/b2dpRKpWt3W7xJrxvsIdMik1AulyPiU8fXqK6w7777rv95r3MuCYIwAAAAgCnJZrORzWZjf38/ms3mnQvk9/TWB3v16tVjljd1gyHfhw8fbh3XaDSujU+CIAwAAABgSp49exbtdjsqlUocHBz0p0uO0m63+0HRTYvSz7PBhfRvC/0Gp31WKpWZ1XYTQRgAAADAlI07JTIi+gvYFwqFsYKzefPmzZuIiGt3zOzphV97e3uJf32CMAAAAIAp6S0aP85dInt60yIXrRusJ5vNxunpaRQKhSiXy0Nh2P7+fhwdHcXu7m7s7u4mWOUn7hoJAAAAMEV7e3tjL3g/OC1y0dYHG1QoFOL09DQqlUqUy+X+118oFOLk5CTRBfIHLV1eXl4mXQQAAADAojs6OorNzc24uLiY6M6PvbstLtLdIheVIAwAAADggZrNZqytrUWxWIyTk5Oky+EW1ggDAAAAeKDt7e2I+LRIPvNLEAYAAADwAEdHR1Gv1yNisdf5SgNTIwEAAAAeYG1tLZrNZn/BeOaXjjAAAACAe2o2m9FsNiMiolKpJFwNd/ks6QIAAAAAFlW73Y5sNhsvX76Mra2tpMvhDqZGAgAAAJAKpkYCAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKkgCAMAAAAgFQRhAAAAAKSCIAwAAACAVBCEAQAAAJAKgjAAAAAAUkEQBgAAAEAqCMIAAAAASAVBGAAAAACpIAgDAAAAIBUEYQAAAACkgiAMAAAAgFQQhAEAAACQCoIwAAAAAFJBEAYAAABAKgjCAAAAAEgFQRgAAAAAqSAIAwAAACAVBGEAAAAApIIgDAAAAIBUEIQBAAAAkAqCMAAAAABSQRAGAAAAQCoIwgAAAABIBUEYAAAAAKnw/wOIU2O+JwUFYgAAAABJRU5ErkJggg==",
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 1200x900 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -574,48 +572,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "found:  19848 , lost:  4910\n",
-      "0.2473800886739218\n"
+      "found:  44660 , lost:  19133\n",
+      "0.4284146887595163\n"
      ]
     },
     {
      "data": {
       "text/html": [
        "<pre>[-3.61,\n",
+       " -61.5,\n",
        " -33.8,\n",
        " -133,\n",
+       " -799,\n",
        " 65.2,\n",
+       " -5.73,\n",
        " -26.6,\n",
-       " 31.6,\n",
-       " -52.1,\n",
-       " -44.7,\n",
-       " -103,\n",
-       " -10.2,\n",
+       " -4.26,\n",
+       " -396,\n",
        " ...,\n",
-       " 330,\n",
-       " -11.6,\n",
        " -13.1,\n",
        " -25.6,\n",
+       " -140,\n",
+       " -4.27,\n",
        " -4.27,\n",
        " -103,\n",
        " 8.82,\n",
        " 12.8,\n",
        " -17.8]\n",
        "---------------------\n",
-       "type: 19848 * float64</pre>"
+       "type: 44660 * float64</pre>"
       ],
       "text/plain": [
-       "<Array [-3.61, -33.8, -133, ..., 8.82, 12.8, -17.8] type='19848 * float64'>"
+       "<Array [-3.61, -61.5, -33.8, ..., 8.82, 12.8, -17.8] type='44660 * float64'>"
       ]
      },
-     "execution_count": 131,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -624,6 +622,9 @@
     "tuple_found = ntuple[~ntuple.lost]\n",
     "tuple_lost = ntuple[ntuple.lost]\n",
     "\n",
+    "brem_x = ak.to_numpy(ak.flatten(ntuple[\"brem_vtx_x\"]))\n",
+    "brem_z = ak.to_numpy(ak.flatten(ntuple[\"brem_vtx_z\"]))\n",
+    "\n",
     "brem_x_found = ak.to_numpy(ak.flatten(tuple_found[\"brem_vtx_x\"]))\n",
     "brem_z_found = ak.to_numpy(ak.flatten(tuple_found[\"brem_vtx_z\"]))\n",
     "\n",
@@ -640,12 +641,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 2000x800 with 3 Axes>"
       ]
@@ -655,8 +656,8 @@
     }
    ],
    "source": [
-    "vmax = 150\n",
-    "nbins = 100\n",
+    "vmax = 350\n",
+    "nbins = 200\n",
     "\n",
     "fig, ((ax0, ax1)) = plt.subplots(nrows=1, ncols=2, figsize=(20, 8))\n",
     "\n",
@@ -665,40 +666,183 @@
     "    brem_x_found,\n",
     "    density=False,\n",
     "    bins=nbins,\n",
-    "    cmap=plt.cm.jet,\n",
     "    cmin=1,\n",
     "    vmax=vmax,\n",
-    "    range=[[-200, 3000], [-1000, 1000]],\n",
+    "    range=[[-200, 9500], [-3200, 3200]],\n",
     ")\n",
-    "ax0.vlines([770, 990, 2700], -1000, 1000, colors=\"red\")\n",
-    "ax0.set_ylim(-1000, 1000)\n",
-    "ax0.set_xlim(-200, 3000)\n",
+    "ax0.vlines([770, 990, 2700, 7500], -3200, 3200, colors=\"red\", lw=1.5)\n",
+    "ax0.set_ylim(-3200, 3200)\n",
+    "ax0.set_xlim(-200, 9500)\n",
     "ax0.set_xlabel(\"z [mm]\")\n",
     "ax0.set_ylabel(\"x [mm]\")\n",
-    "ax0.set_title(r\"$e^\\pm$ found brem vertices\")\n",
+    "ax0.set_title(\"found\")\n",
     "\n",
     "a1 = ax1.hist2d(\n",
     "    brem_z_lost,\n",
     "    brem_x_lost,\n",
     "    density=False,\n",
     "    bins=nbins,\n",
-    "    cmap=plt.cm.jet,\n",
     "    cmin=1,\n",
     "    vmax=vmax * stretch_factor,\n",
-    "    range=[[-200, 3000], [-1000, 1000]],\n",
+    "    range=[[-200, 9500], [-3200, 3200]],\n",
     ")\n",
-    "ax1.vlines([770, 990, 2700], -1000, 1000, colors=\"red\")\n",
-    "ax1.set_ylim(-1000, 1000)\n",
-    "ax1.set_xlim(-200, 3000)\n",
+    "ax1.vlines([770, 990, 2700, 7500], -3200, 3200, colors=\"red\", lw=1.5)\n",
+    "ax1.set_ylim(-3200, 3200)\n",
+    "ax1.set_xlim(-200, 9500)\n",
     "ax1.set_xlabel(\"z [mm]\")\n",
     "ax1.set_ylabel(\"x [mm]\")\n",
-    "ax1.set_title(r\"$e^\\pm$ lost brem vertices\")\n",
+    "ax1.set_title(\"lost\")\n",
     "# ax1.set(xlim=(0,4000), ylim=(-1000,1000))\n",
     "\n",
-    "plt.suptitle(\"brem vtx of photons w/ $E>0.1E_0$\")\n",
+    "# plt.suptitle(\"brem vtx of photons w/ $E>0.1E_0$\")\n",
     "plt.colorbar(a0[3], ax=ax1)\n",
     "\n",
-    "plt.show()"
+    "# plt.show()\n",
+    "plt.savefig(\n",
+    "    \"/work/cetin/Projektpraktikum/thesis/brem_vtx_found_lost_hist2d.pdf\",\n",
+    "    format=\"PDF\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "nbins = 200\n",
+    "vmax = 400\n",
+    "\n",
+    "a1 = plt.hist2d(\n",
+    "    brem_z_found,\n",
+    "    brem_x_found,\n",
+    "    density=False,\n",
+    "    bins=nbins,\n",
+    "    cmin=1,\n",
+    "    vmax=vmax,\n",
+    "    range=[[-200, 9500], [-3200, 3200]],\n",
+    ")\n",
+    "plt.vlines([770, 990, 2700, 7500], -3200, 3200, colors=\"red\", lw=1.5)\n",
+    "plt.ylim(-3200, 3200)\n",
+    "plt.xlim(-200, 9500)\n",
+    "plt.xlabel(\"z [mm]\")\n",
+    "plt.ylabel(\"x [mm]\")\n",
+    "# plt.title(r\"$e^\\pm$ lost brem vertices\")\n",
+    "# ax1.set(xlim=(0,4000), ylim=(-1000,1000))\n",
+    "\n",
+    "# plt.suptitle(\"brem vtx of photons w/ $E>0.1E_0$\")\n",
+    "plt.colorbar(a1[3])\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
+    "# plt.show()\n",
+    "plt.savefig(\n",
+    "    \"/work/cetin/Projektpraktikum/thesis/brem_vtx_hist2d_found.pdf\",\n",
+    "    format=\"PDF\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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YhsTjcVlZWZFnn312331duXJFzp075+PoBsc0zdaMnWq1KgsLC5LP56VQKHSsm81mZXl5WQqFguTzece+E4mElEolyWazSt+6CxcuiMhuul77TKIo9wkAAAAAAIYn1DWd9mb3XL161VPAaa+v559/3odRDV48HpdEIqH828LCgoyNjUk2m5X5+XnJZDIyNjYmIrsF1vsJOO2ZmZmRcrks8Xhc5ufnW4Ed0zSlUqlIKpWSarUqyWRS3nnnHdtZVlHrEwAAAAAADEeoZzqlUin5xje+0RGA2S+7ekdhs7q6KteuXZNKpSL1el1M0xSRJwXDs9mslEqlfQda0um0bGxstNL4Lly4IKZpSjwel+npaSmVSo6pelHtEwAAAADaGSMjtsudajwdthpOzaAHgMgIddApl8vJW2+9JfV63Zf+ojLTSWR3tlO3dDq/5fN5V7OkDlKfAAAAAABgcEKdXjczMyPPP/+8LC0t+dLf1772NV/6AQAAAAAAgL1Qz3QSESmVSvLhD39Yvv71r8vP/dzPeerr2rVr8slPftKnkQEAAAAA/DLMlDXjyFGlfWPrNU9jOUzpdpaI7IgR+BgQDaGe6SSy+xSzV155RV5++WVP/dy+fbtVDwkAAAAAAACDFeqZTnvpcE8//bSMjY3Jc889t6+i0aZpyuuvv+738AAAAAAAANBDqINOX/rSl+Ttt99utS3LkoWFhX31ZVmWGEawUwABAAAAAIi6Jvlt6FOog06XLl1qpcQZhkHQCAAAAAAOqGHWQXKq4SSGfSWag1yzCfBTqINOuVxOvvCFL4hhGGJZhFIxXI1GQyYnJ23XmZubk7m5uSGNCAAAAECYXL9+Xa5fv267TqPRGNJogPAJddDp7Nmzkkwm5e2335ZCoSDJZFLGx8dd91Ov1+VLX/qSfOtb3/J/kDiwms2mrK+v266zubk5pNEAAAAACJvNzU3H7wwHUdBPr0N0hDroJCJy+fJlmZqaks9//vP77uP555+XT33qU/sKWOHwisViMjExYbvO6OjokEYDAAAAwC8XT3xaaTuly3Wk373vu9a35biclKfP9/6u2Wg0pNlsuh8kcACEPuiUTqfl5s2bvvQ1PT3tSz84HCYmJmRtbS3oYQAAAAAIqWeMj8gz8hEpr/UOWk1OTh7K2VD79Wuv3pUvv3rXdp0f/ZAgXlSEPuj0/PPPS6FQ8KWvv/E3/oYv/QAAAAAAcBhZMtj0ujt3LPnB9wkqHRShDzqJiDz77LO+9PN3/s7fkZ/92Z/1pS8AAAAAAOCv02cM+cAH7Z8e+OMfNoWMxWiIRNDJLysrK0EPAQAAAAAQsDcfflVpv3jsJaVtbT9WNzDUIEh5Z2kg44oGQ5rW4GY6feblUfnMy/a1c1/8sw354fd3BjYG+CeSQad3331XTNPse/16vS6Li4uutgEAAAAAAMD+RSLo9O6770qhUJBKpSL1en1ffViWJYbBYx0BAAAAAACGIfRBp6tXr8rCwoKI7AaOAAAAAABAcAZZSBwHS6iDTr/xG7/RenKdYRhiGAaBJwAAAACAJ5mRy0pbr9GUiWVtlwPoT6iDTteuXRMRaQWbEomEJJNJSSQSIiJy7tw5xz7ee+89MU1TXn/9dbl9+/ZAxwsAAAAAAIBdoQ46VavVVh2mcrksFy5c2Hdf+XxennvuOb+GBgAAAADAobQjMeeVAAl50Ckej8vt27cln897CjiJiCQSCXn22Wd9GhkAAAAAoF1HSlqzFNBInDmm0zmMPUrHCgQp1OHJvTS6F154wZf+FhcXfekHAAAAAAAA9kIddNqb3XTr1i1f+wMAAAAAAO5ZItK0jEB/eLxYdIQ66PSLv/iLYlmWVKtVX/r71V/9VV/6AQAAAAAAgL1Q13Q6e/as/PIv/7IUCgUpFApy5swZT/0tLi7Kyy+/7NPoAAAAAODg0usWOfFa12iYdZKcjs3tsQPoLtQznUR2nzqXTCYlm/X2pn/nnXd8mzEFAAAAAMBhtSNGoD+IjlDPdNpTLpdlenpannvuOZmfn5fx8fG+trt165aYpim1Wk1ef/31AY8SAAAAAAAAeyIRdPrGN74hIiK1Wk1yudy++rAsSwyDiCgAAAAA9MNteltm5LJ9fztLvu7PdixOqXqGmvTjNDb92JzWP+h2rNAnTSEkQh90+vmf/3kpFosiImIYhliW+zr1BJsAAAAAAACGK9RBp1dffVUWFxdFZP8BJxHZ93Y43BqNhkxOTtquMzc3J3Nzc0MaEQAAAIAwuX79uly/ft12nUajMaTRAOET6qCTHnBKp9OSyWQkHo+7ruv0yiuvyLvvvjvA0eKgaTabsr6+brvO5ubmkEYDAAAAIGw2NzcdvzMcNJYY0gz4mWQWxcQjI9RBp2q1KoZhSDwel5WVFXn22Wf33deVK1fk3LlzPo4OB10sFpOJiQnbdUZHR4c0GgAAACBc9LpJYeJUHyp21OVXYavZ9Z9HR0fl/Pnztps2Gg1pNrtvj06v/+qGvP73Tdt1bv1weziDgWehDjrF43G5ffu2XL161VPAaa+v559/3qeR4TCYmJiQtbW1oIcBAAAAIKT6KbcxOTl56GZDeXHvblN+/H2CSgdFqINOqVRKvvGNb0gikfClv1dffdWXfgAAAAAAOKx2BpjedvL0iDz9QftQxa0fbguTx6Ih1EGnXC4nb731ltTrdV/6Y6YTAAAAAADhlX15TLIvj9muc/l/U2c2VESEOug0MzMjzz//vCwtLcnf/Jt/03N/X/va1+STn/ykDyMDAAAAgIMtM3JZaZd3ltQVjJj98hB78+FXlbZ+rHoNJ6caUQC6C7bkfB9KpZKsrq7K17/+dc99Xbt2zYcRAQAAAABweO1YsUB/EB2hv1qJREJeeeUVefnllz31c/v2balWqz6NCgAAAAAAAHZCnV73ta99TUREnn76aRkbG5PnnntOZmZmXPdjmqa8/vrrfg8PAAAAAA4sp3Q5Y2TEdvmLx15S2je2XvM8pkFxmxpIOt7BU6/XJZfLSS6X21fcYT/7KpfLfa2/sLAg5XJZVlZWxDRNSSQSkkwmJZfLSTqdHuhYvQp10OlLX/qSvP322622ZVmysLCwr74syxLDGFyFfQAAAAAADoPmAJ9eN2ymacqVK1dkeXlZRESy2aynvsbG7Iug75mdnXVcp1KpSDabFdM0JZ1OS6lUkkQiIdVqVebn5yWTybT+PR6P73vcgxTq9LpLly6JZVliWZaICEEjAAAAAADgmWmaMj8/L2NjY62Ak1fFYrHvdefn522XVyoVyWQyYpqmzM7OSrlclnQ6LYlEQmZmZqRWq0kymZRKpSKpVEpM0/Q4+sEIddApl8uJyG6waS/4tN8fAAAAAADgjSUiOxIL9MfrN/yFhQVJpVK+133u9+Fle8GjXkzTbM24SiQSsri42HW9Umk3jbNer3uaoTVIoU6vO3v2rCSTSXn77belUChIMpmU8fFx1/3U63X50pe+JN/61rf8HyQAAAAAHECZmLcvsXoNJ72/IOse6WOJHTumtN98+FXb9anZFF3ValXS6bTk83kR2Z2dtDfhxYtisSimaUo+n5dMJmO77vT0tO3yvZQ6EfsZUXuznpaXl6VSqUixWOwrbW+YQh10EhG5fPmyTE1Nyec///l99/H888/Lpz71qX0FrAAAAAAAwMGQTCaVtlMAqF+FQkESiYQUCgVP/dTrdalUKq32pUuXbNe/fPlyKz1wfn4+dEGnUKfXiexOO/MrPc6vmwkAAAAAgMNqx4oF+uMnPwpwLy8vS71ed6zT1I/2oFU6nXYcX/uT9kzT9K0+lV9CP9Pp+eef9xwp3ONXPwAAAABw6Bjal32rqTQzI5eVdnlnSW2HKSVNO5bm1pbt6nr6Hel2aHft2jWJx+OOs5L60V6MXJ+V1UsikZB6vS4iIktLS0ogKmihn+kkIvLss8/60s/zzz/vSz8AAAAAAADValWq1aqYpiljY2MyNTUluVxuXzOO9MLmL7zwQl/btQenwjbTKdCgU5gKe4dpLAAAAAAAhJMhTYkF+iNiBH0SWvSUunq9LsViUbLZrBiGIdlstu+n5LXXchIR2yfc2a3n91P5vAg06JRKpWRzczPIIYiIyO3btyWVSgU9DAAAAAAAEBF60e9ulpeXJZVK9fWEvJs3byrtfutNnTt3TmmvrKz0td0wBFrTya8C4X4I01gAAAAAHDxRrwOk12jSazjpwny8+rHowjx2hEcikZDFxUUxTVNqtZpUKpVWbSVdsViUlZUVWV1d7dmfvu1+ZzrVarW+thuGQINOhhGeKXFhGgsAAAAAAGFkWSI7VrDfn8M0Z2R2dlZpm6YpxWJRrl27JqZpKsuq1apkMhkpl8td++oVsHJL32+QAk2vY3YRAAAAAAA4KOLxuOTzednY2JBSqdSRIlepVGRhYaHrtvsNFun7uHXr1r76GYRAZzqJiLzzzjvy0z/904GOIUz5jgiPRqMhk5OTtuvMzc3J3NzckEYEAAAAIEyuX78u169ft12n0WgMaTTh95t//4fyxj/4ked+Nn702IfRDN7MzIyk02m5cOGCUtz72rVrks/nB7bfMM10CjzodOXKFfnCF74g8XhcxsfHh7rvW7duSb1eH+jFRnQ1m01ZX1+3XScMhfABAAAQDZGrC2SoiTFu6xzp6+s1oJzqKg2S01j0Y3vx2EtK29reDXrUrH8r62L/neEg2tln0tS9u0259YNoBIz8Eo/HZXV1VVKpVCvwZJqmVCoVSafTHev6ETDqtwD5MAQedFpdXZVsNuu84gBZlkVNJ3SIxWIyMTFhu87o6OiQRgMAAAAgbI7IUTkuJ+Xp870nUDQaDWk2m0McVXg9dXpExn/yqOd+Nn70WKyIndJXX31VUqlUq10ulzuCTuPj474EnYY9ocdO4EGnPUHVdyLYhF4mJiZkbW0t6GEAAAAACKlnjI/IM/IRKa/1nvU1OTnpmEERNU1rfzOd/vJfnZC//Fft/2O/H7/wF34vcjOmksmkpNNpqVQqItK9aPh+ZyjpgSpmOrUJuph40PsHAAAAgDBym/6mp9N57W+gXE6T2Uun22Mc8T5bB4dPJpNpBZ26mZ6eVmo/mabZVwBJLxw+NTW17zH6LdCg08bGRpC7BwAAAAAAGIpEItF63S0Frj39TmR3NlQymXTst1arKW09bS9IgQadzp49G+TuAQAAAACAC5bsv5C4n2OIovagU7cZTNPT00q736BTe3pdPB5X9hO0YO8UAAAAAACAQ2BlZaX1OpPJdCxPJpNKMOrmzZuu+9UDV0ELvKYTAAAAABwGjjWPmr2LUQdBH6/T+PQ6R3odJLf9DZK+b6drI4Y6X0M/NqAf7WlwvVLgLl26JMViUUREqe9kp329+fl5DyP0HzOdAAAAAABA33YsI9CfqFpeXhYRkXw+33OdXC7Xem1XdLzbOolEIlT1nEQIOgEAAAAAgEOqvR7SIC0vL0u9Xpd4PC5Xr17tuV4ymVQCR3uBql5KpSez9sI2y0mE9DoAAAAACETY0uk6GPZzFNympJV3lryOyDcvHntJaYf+WmBg6vW60u43CFWpVCSbzYppmpJOp6VQKPQs+l2v1+XKlSsiIvLWW291LSLebnFxUaampkRE5Nq1azIzM9N1PdM0W6l46XRaZmdn+xr7MDHTCQAAAAAA9MmQpsQC/RHxJ8XONM2O2UFLS/0FR0ulUitAValUJJVKKalxe/aWjY+PS61W6+tpdIlEojWDqVqtysLCQtf1Lly4ICK7T6xrn/EUJgSdAAAAAADAoWCapmSzWclkMjI2NtYx06larYphGJLJZCSbzfYs5p3Nds70KxaLMjY2JtlsVnK5nKRSKclkMjI7Oyurq6uSSCT6HufMzIyUy2WJx+MyPz/fGotpmq1AVrValWQyKe+8847j7KmgkF4HAAAAAAAOBb9mBaXTaanValIoFKRSqcitW7daM5/2gkFXr16VdDq974BQOp2WjY0NWVhYkKWlJblw4YKYpinxeFymp6elVCr1TL0LC4JOAAAAADAEet0gvSZS2OoK6TWY3NZwihK9xpO1s6OuYDXVdojrVQ3DjhXda+2nRCIhi4uLA99PPp+3feJdmHGnAAAAAAAAwHfMdAIAAAAAAH2xRKTpUyFvL2NANBB0AgAAAIB9ak85c50eF/J0tIsnPq20ndIDO1LQQuzG1mu2yzMjl9V/OOTpdMB+hftTDgAAAAAAAJF0qGY6vfvuu/KhD30o6GEAAAAAABBZFBJHvw5V0CmbzcrNmzeDHgYAAAAAAOii8t+vSeXX1mzXuf2jrSGNBl6FPui0ubkpo6Ojnvt5++23pVqt+jAiHBaNRkMmJydt15mbm5O5ubkhjQgAAABh017nSK9x5FjjKeQ1kJqPt5W2XufIqcaT2+XDpI8ldvKk0tZrNr147KWu/Vy/fl2uX79uu69Go7GPER5eD+5ui/kDgkoHReiDTqlUSr7zne946uNb3/qWXLhwwacR4bBoNpuyvr5uu87m5uaQRgMAAAAgbDY3Nx2/MxxEOwMsD3389FGJ/+Qx23Vu/2gr7DFbvC/0QadarSZ37tyRM2fO7Gv7X/mVX5EvfOELYlmWGEawj3VEtMRiMZmYmLBdx49ZeAAAAACiaXR0VM6fP2+7TqPRkGaTCEm/LvwX/4Fc+C/+A9t1/uu/+C+ZDRURoQ86iYhcuHBBfvd3f9fVNu+++65ks1mpVqtiWdaARoaDbGJiQtbW7HOJAQAAABxe/ZTbmJycPJSzoQCRiASdVldX5WMf+5i8/vrrfc0s2ZvdJCKtGU4EngAAAAAMklMNIzHsU5LCVPNIRHyvORX48bRxulZO1y5012qoDGlaQWcRBb1/9CsSzzm0LEtu3LghiURC/uk//ac91/vWt74lzz33XCudTkQIOAEAAAAAAAQg9EGneDwuq6ur8sorr8jOzo6k02n5hV/4hY71rl69KqlUSmq1mjK76dlnn5VqtSq3bt2SZ599NoAjAAAAAAAAOHxCn1536dIlef755+X555+Xy5cvy8svvyyvvPKKVCoVKZVKYlmWZLNZqdfrSrDJsiwpFAry+c9/vtVXLpcL8EgAAAAAHCYdKVwjl10tDzqFy2l/HSlo+nLteDr631lyPaZB8XyshyjdzpLBPr2u3zEgGkIfdHrllVdar8+ePSulUkmKxaJ84QtfkGQyKSLSkUqXTCalVCp1zGxqD0ABAAAAAABgcEKfXvfuu+92/NvU1JSISGtGk2E8KSK2uLgoKysrBy6VrlqtSi6Xk6mpKTEMQwzDkKmpKZmfnxfTNPfd78LCgmQyGRkbG2v1mc1mpVKpHPg+AQAAAADuNa1YoD+IjtBfrWz2yTTFzc1NuXz5srz44oty+/btVvBlb6bTzMyMXL5sP4UzakzTlGw2K6lUSorFotTr9dayer0uCwsLMjY2JsVi0VW/lUpFxsbGZH5+XkRESqWS1Go1KRQKUq1WJZPJSCaTcRXQikqfAAAAAABg8EKfXre6uip/+2//bfmDP/iDVmClvXbTXirdK6+8Ir/yK78ib731lrz66qvycz/3cwGP3DvTNCWVSimBpl5yuZysrq7K4uKi47qVSkUymYyIiMzOzirbJBIJmZmZkVQqJZVKRVKplKyurko8Hj8QfQIAAACD8uKxl5S2tf1YaXfUcAp5HSCn8RlHjtpuf2PrNd/HNCgd125nR2mH7doAURH6mU4iIvl8XorFYmtGk4i0CoXvpdLtvT579qzMzMzIxz72Mblz547Sz+bm5rCH7slegfS9wFqtVpNarSalUkny+XzH+sViUZaXl2373Js5JbIbuOkVpCqVdj9U6/W6Mtssyn0CAAAAALzbESPQH0RHJIJOIurspnQ6LbVaraMweDKZlFqtJi+//LLcuHFDxsbG5O///b/fWh6loESxWJRKpSL5fF5WV1dlZmZGEolEa4ZPoVCQWq3WKqa+58qVK7b9ZrPZViraXspaN3v7EdmdcWSXvheVPgEAAAAAwPAYVvv0oRCKxWJK3abFxUXHwIrIbgAim83K5uamTE1Nyac+9SlZWFiQHW2aZFhNTU1JIpGQcrlsu169Xm8VVt9TLpclnU47rruxsWGbjra8vNwK1MXjcdnY2Ihsn25MTk7K+vq6nD9/XtbW1jz1dajcuydy+vTu67t3RU6dCrYfHA7cLwCAbkLy+0FPT9PT0fT0s7Cl22VG7OvllneWlLaeohbm9Dr92PRj0a9F7Ngxpd3c2rLtv/3aHZTvF3vHcfYnj8t/80//YqBj+b/8J9+U2z94FPlzehhEZqZTOp2WjY2NvgJO7et/8pOflD/4gz+QhYWFAY/QP9VqVer1eit1zE4ikZBCodCxfTft66XTacf6R3sziER20926pe5FpU8AAAAAgHeWBP/0ulDPnIEiEkGn2dlZuXHjhpw9e9b1tqVSSV5//XUJ+YQuxdLSkszOzvZdFFuf1fTee+91Xa899UxPy+slkUgo44pqnwAAAAAAYLhCH3SKx+Py9/7e3/PUx8zMjNy4ccOnEQ3e5cuXO2Yv2dEDM3q6nUjn7KcXXnjBdd/6DKKo9AkAAAAAAIbvSNADcNKtNtF++3n++ed96WvQ+p3ds2ev4Pae9lk/eyqViuM63ejrVavV1vii0icAAAAwKO21f/QaTHpbrxMUthpOjqym0tTHr3OqmxQmTtei41gcru1BxxPk0K/Qz3R6/fXXfeurnxpJUVSv15V2t0DdzZs3lXa/qXvnzp1T2isrK5HrEwAAAAAADF/oZzr56dlnnw16CAPRHmCZnZ3tuo4emNrvDKJarRa5PgEAAAAA0fA7v/aO/M6X37Fd586PHg1pNPDqUAWdDqrFxcXW6/n5+a7r6MGc/WpP5YtKnwAAAAAAvxjStAaXNPXg7o5s/oCg0kFB0Cni6vV6q/h2oVDoOTNov0EYPb3t1q1bketzvxqNhkxOTnruZ25uTubm5jz3AwAAgPAxjhxtvdbr/ug1kIKuA+S6hpQ2fte07V889pLSvrH1mrf+PXCqL5WJZeW71rfle/Kdrss7vif8kd7LG43GvsZ4WJ04fURGf/KE7Tp3fvTQ8+2J4SDoFHF7T7lLJBKSz+cHvr9BzCAKa5/NZlPW19c997O5uem5DwAAAADDtS2P5ZE86LrMj+8JkWWJ7AxwptPPfPbD8jOf/bDtOn/7Qlk2f/hwYGOAfwg6RVi1WpVisSjxeFzK5bLtuvF43JdATPuMoqj0uV+xWEwmJiY89zM6Ouq5DwAAAADDdUSOynE52XXZ0+fH++6n0WhIs8m0HBxOBJ0i7MqVKyIi8tZbbzkW3B4fH/clmDM+Pq68jkKf+zUxMSFra2ue+wEAAMDwZGJZOWFtyxsB7NsYGVHaN7bUFK6O9DtjuA8Td0ynC3n/g6SnHhpHjsqH5E/Kh+RPioiItf1YWV5e6/9YJycnD/fMKBxqBJ0iKpfLSbValVKpJMlk0nH9/c780QNA+qykKPQJAAAAAPCHJSJNMQIfA6JhuKF1+KJYLEqxWJTFxUWZmZnpa5vp6Wml3e9sIr0g99TUVOT6BAAAAAAAw0fQKWIqlYrkcjlZXFyU2dnZvrdLpVJKu16v97VdrVZT2ul0OnJ9AgAAAACA4SO9LkKq1apkMhkpFAquAk4inTOI6vV6X2l57TON4vG4UjsqKn0CAADg8Cg3SyL37omcPj2U/em1ftp1qxNkt61e86m8o9aE8kofj1MNJn35i8deUto3tl5T2hdPfFppN7e2XO1vmPRzobO7rhjs0+twsHCnRES9XpcLFy5IPp+XfD7vevtkMqnUObp582Zf262srLRe6wGhqPQJAAAAAACGj6BTBNTrdUmlUjI7OyuFQqHvbRYWFpR/u3TpUut1tVrtq5/29ebn5zuWR6VPAAAAAAAwXKTXhZxpmpLJZOTSpUt9B5xERLLZrLz66qvKv+VyOSkWiyKyWxvKSfs6iUSia52kqPQJAAAADEJ7ypyebqancFk7Oz23FRl8Spfb9DanFDSndDun7QNlaPMvrKbS1M+VnvroNlXxoGlawT69DtHBTKcQM01TUqmUJBIJmZ+fl3q97vhTqVRaxbj1WkjJZFIJyCwvL9vuv1R68sHZa/ZQVPoEAAAAAADDxUynELtw4UIrmDQ1NeVq28XFxZ7/vtfXtWvXZGZmput6pmm2Zhul02nbwuVR6RMAAAAAAAwPM51CKpVK9V3PqJtewZdEItGaGVStVjvqPu25cOGCiOw+Ca59JlGU+wQAAAAAeGOJITsSC/THEtL7ooKZTiGUzWYHEnDaMzMzI+VyWbLZrMzPz8vNmzfl6tWrkkgkZGVlRebn56VarUoymZS33npLeZpc1PsEAAAA/NRep0mv++NUN8hSSzyFnlPdIqcaTsOsg+S4L+1a6NdKv5blnSVv+wMOKYJOITSMGTvpdFo2NjZkYWFBlpaW5MKFC2KapsTjcZmenpZSqdQzpS3qfQIAAAAA9o9C4ugXQadDLp/PSz6fP5R9AgAAAACAwSHoBAAAAAB9skujevHYS8qyG1uv2felp+MNme8pYVqKmlNK2iA5HYu+3OlaOF1b0umA7gg6AQAAAACAvjV5Jhn6RNAJAAAAAACEwsr/8O9l9X/4tu069378YEijgVcEnQAAAAAAQChs3X0sd39IUOmgIOgEAAAAAH3Sa/dcPPXZ1mu9zo9eM6mDEWyKkuu6Rw41oGInjvszsCFwujbUaLK3M8Cn1x09dUxOf+Ck7Tr3fvxArObAhgAfEXQCAAAAAAChkPzPf0qS//lP2a7zqxd/k9lQEUHQCeih0WjI5OSk7Tpzc3MyNzc3pBEBAAAACJPr16/L9evXbddpNBpDGg0QPgSdgB6azaasr6/brrO5uTmk0QAAAAAIm83NTcfvDAeNJSLNAabX9TsGRANBJ6CHWCwmExMTtuuMjo4OaTQAAAAIpZ2d1svMyGV322pFacJWR0g/no56Vic+rbSbj7fV7R1qQAXJqV5Vv0ZHR+X8+fO26zQaDWk2KUCEw4mgE9DDxMSErK2tBT0MAAAAACHVT7mNycnJQzcbCthD0AkAAAAAAPStaQX75EVEB0EnAAAAANgnq2m1N5RlHSlcevqdtr7T8mGnp8VOHFfaTulyLx57SWlb29FJKXO6VrGj6lfnNx9+VV0/xKmEQJAIOgEAAAAAgL7tSLCFxBEdzIkDAAAAAACA7wg6AQAAAAAAwHek1wEAAADAPlk7O63XTnV8yjtLSluvgXRj6zX/BuaD5oMHrta3th/bLtfrJOnnY5j0GkzGkaNKWx+bvr7ucNVwMqRpBZ1eF/T+0S9mOgEAAAAAAMB3BJ0AAAAAAADgO9LrAAAAAMAHTuljejpde2peX/1rKV6DTunS+9ePr4OhzmkwRkaUdtjSB9sZx9T0umGf66hpWsxfQX+4UwAAAAAAAOA7gk4AAAAAAADwHel1AAAAAACgL5aINAN+epwV6N7hBkEnAAAAAKHhtpZO0LV39LpN7fQaSHqNI9f7GvKx6eOPHVW/Pl488Wnb5c2trcEMzA9a/anm/fu2qwd9nwFRRdAJAAAAAACEwv/y1X8r/+a1/5/tOg9+/GBIo4FXBJ0AAAAAAEDfdqzBpdc9uvtY7v/QfuYZooOgEwAAAAAACIVjp47JUx94ynadBz9+IFaTyk5RQNAJAAAAQGi4rZUTdG2dF4+91Hpt7eyoC62m2txW2/rY/a4b5Hd/bz78qm3/xpGjnvoPFa3mk16P61DXeLJEmlbMeb19+uMv/Yfyx1/6D23XWf7Zfyj3f8RsqCgY3J0CAAAAAACAQ4uZTkAPjUZDJicnbdeZm5uTubm5IY0IAAAAQJh81/q2fE++Y/u9odFoDHFEQLgQdAJ6aDabsr6+brvO5ubmkEYDAACAMLqx9VrrtVPKlb68PTWv2/peee5PSw/MjFy2Xd04qn69tLYfq9sPMSXN7b6crpWlZU7urf9Lv/RL8sUvftHxe8NB0xxgIXEcLASdgB5isZhMTEzYrjM6Ojqk0QAAAAAIm9HRUTl//rztOo1GQ5rNpu06wEFFTSegh4mJCVlbW7P9IbUOAAAAOLzm5uYcvzM4/Uc2wqFer0smk5Hl5eV991GtViWXy8nU1JQYhiGGYcjU1JTMz8+LaZr+DbaLvfGHDUEnAAAAAADQF0tEmmIE+mP5eDymaUo2m5WpqSmpVCpy69atffeRSqWkWCxKvV5vLavX67KwsCBjY2NSLBb31fdeAMvuZ2pqShKJhOv+B430OgAAAADYJ6Uuk6H+n75eA8k4clRpWztqoSB9/fLOkg8j3L+OOkcONZ2aDx/ZLo8dO+Z5TP1yrOHk9txapMcdNKZpyrVr12RhYcFzP6lUSgk09ZLL5WR1dVUWFxf77t9NoGp+fr7vdYeFmU4AAAAAAODQWFhYkFQqJdVq1XNf2WxW6vW6JJNJKZVKUqvVpFarSalUknw+37F+sVh0lcJ37dq1vtZLp9PMdAIAAAAAAFFmhODpdfvff7ValXQ63QoIFYtFyeVy++qrWCxKpVKRfD4vhUJBWZZIJGRmZkZyuZxks1klwHXlyhWZmZnpq3/TNCWfzzvWa5qent7XMQwaQScAAADgEBvmY+wPuthR9etVc2tLaVvb3lK0hn2tOtLptBSzjnTB7ce2/b358Ku+jMsPjudSS5XUj533TXQlk0ml7SVYUygUJJ1OdwSc2iUSCSmVSjI1NdX6N9M0pVKpSDqdduw/kUjY9h92pNcBAAAAAIBDKR6P72u7arUq9XpdSiXngGO3wJFTat/y8rLU6/VQ1mlyg5lOAAAAAACgb02L+StLS0syOzvbd9BKn9X03nvv2a5/7do1icfjcunSpf0OMRQIOgEAAAAAALhw+fJlV4W79bS+9nQ7XbVabc2EGhsbk0QiIel0WjKZTF+1oMKEoBMAAABwiFGLxhsj9qSgsdW0lGX6udXrALnldK30GkzlnSVP+9PrGDlxW+PJq/bz6fY+7rg2DufOqb7VYRN8IfHg6UEkJ6ZpKm27gJWeUlev16VYLEqxWBQRkZmZGbl69arrMQSBOXEAAAAAAAADVK/XlXavIuL1el0qlYptX8vLy5JKpfb91L1hYqYTAAAAAADAAK2srLRez87O9lwvkUjI4uKimKYptVpNKpVKR8BqT7FYlJWVFVldXfV9vH4h6AQAAAAAAPpiiUhTgk2vs5xXCZ3FxcXWa6cn0ulBKdM0pVgsyrVr1zrS9KrVqmQyGSmXy76N1U8EnQAAAAAcGJmRy3LC2pY3hrS/5uPt1mu9DtCLx16y3TZ27Jja19aWp7F4ruGk6Rhf27GK9FGzyVCrueg1rbzWE/OyvX5tYieOK+2LJz6t7kuv8eSxPtdh9Z1/+HvynX/4e577efjefR9GMzz1er1VGLxQKLgqQC4iEo/HJZ/PSz6fl+XlZbly5YoSfKpUKrKwsCD5fN7PYfuCmk4AAAAAAGDgHt/bkoc/uuf5R5rRmutUKBREZDd1zmtgaGZmRt55552OIuLXrl3z1O+gMNMJAAAAAAD0bb9Przvy1DE58ROnPO//4Xv3IxN4qlarUiwWJR6P+5YCF4/HZXV1VVKpVGsGlWmaUqlUehYoDwpBJwAAAOyLl8eV4/DwO6XKSXlnSeTePZHTXxvKeGJHn3yl0vuOnTyptK2dHaX95sOv2o7NLaftXR/ryIjadkj/M44cVdp6+l2QnxNO5+bG1mvq+iOXXW2P/nz4P/vT8uH/7E977ue3fu7Xd2c8RcCVK1dEROStt95ynVbn5NVXX5VUKtVql8vl0AWdSK8DAAAAAADwWS6Xk2q1KqVSqSMdzg/JZFIJMvV6yl2QCDoBAAAAAIC+NS0j0J8oKBaLUiwWZXFxUWZmZga2n0wmM7C+/UDQCQAAAAAAwCeVSkVyuZwsLi7K7OzsQPfVnrI3Pj4+0H3tBzWdgB4ajYZMTk7arjM3Nydzc3NDGhEAAOFCHSf0I2z3yTDH8+a9Lyvti6c+O9D9+X5sWg0qMbQ5C1ZTaep1kcJEPzcvHntJaV88/TmlbWj1rIyjx5V288EDERH5rvVt+Z58x/Z7Q6PRcD1eRFe1WpVMJiOFQmHgAScRNegUj8cHvj+3CDoBPTSbTVlfX7ddZ3Nzc0ijAQAAABA22/JYHskDx+8NB01UUtyGrV6vy4ULFySfz0s+nx/KPldWVlqvw5hqR9AJ6CEWi8nExITtOqOjo0MaDQAAAICwOSJH5biclKfP905rajQa0mw2ey7HwVCv1yWVSsns7KwUCoW+t1leXvYUoKrVaq3XYXtynQhBJ6CniYkJWVtbC3oYAAAACJFMLKu0jSNH2xox23Ud6elrLun785xup6WYydaW2nY5Xt/H56Pm/fuu1t+77h+SPykfkj8p1h8+Vpa3H9vk5OSBmwnFTCeVaZqSyWTk0qVLfQecRESy2ay8+uqrnva9vLwsIjK0mVVuEXQCAAAAAACHkmmanrdPpVKSSCRkfn5e6vW64zb1el3m5+dFRCSZTO5738vLy1Kv1yUej8vVq1f33c8gEXQCAAAAAACHkh4kchuEunDhgtTrdanX6zI1NeVq28XFRaVdqVQkm82KaZqSTqelUCj0DErV63W5cuWKiIi89dZboSwiLiLibf4mAAAAAAA4NCwRaYoR6I/l07GYptmacbRnaWmp7+1TqZRUq9V9719/ul2pVGoFvSqViqRSKcnlch3b7S0bHx+XWq3mabbUoDHTCQAAAMDAhLmOz37o48+MXH6ybEf9supU0+ni6c+pfe/0/2W3n7F51Xz4yNX67edCxPvxDJIRU2sSGSdPKu03731Zab947CWlfWPrNaWtHzvCyzRNuXLlipimKZVKpWN5tVoVwzAknU630ta6BXWy2ayvAae9PovFovJvxWJRXn/9dUmn0zI+Pi4rKytSrVYln8/L1atXQzvDaQ9BJwAAAAAAcCjE43EplbwHaP3oQ5dOp6VWq0mhUJBKpSK3bt1qzXyqVquSTCbl6tWrrYBYFBB0AgAAAAAA/bGM4J9eF/T+ByiRSHTUeooygk4AAAAABibq6XROYkdtvlIZagldY2REaVtbjwcxJN84pQvqx97c2lLaekpamO4FfawjZ84obafUyIOWNgoMCoXEAQAAAAAA4DtmOgEAAAAAgL4Fnl6HyGCmEwAAAAAAAHzHTCcAAAAAgYl8bRytTpOdG1uvKW2nukFBu3jqs+o/aDWq9LpI+nJrZ2cQw/KF2/ss7NfqIPnu61X5Xqlqu86jW/eGNBp4RdAJAAAAAAD0bZDpdY/vbcmjH98dWP8YLoJOAAAAAAAgFI6cOibHnz5tu86jW/dEmtaQRgQvCDoBAAAAAIC+WDLYmU6TM9MyOTNtu86/vFyULWZDRQJBJwAAgAMq8rVyEApO95Hb++zA3ZdtdYs66v4Y9s9tip08OYgR+UeryRQ7qn597KjpZDWVptd7ZZjc1mwK09iBMOPpdQAAAAAAAPAdM50AAAAAAEDfrAGm1+FgIegEAABwQJH+gX44pTw53Udu77Og70u/U7ystmLGxpGj6rLtx7b7dkq/czLodLU3H37Vdn/6+Ms7S+r6I5fV5SH6THK8FlqqYOzYMXV7/di0Ywewi6AT0EOj0ZDJyUnbdebm5mRubm5IIwIAAAAQJt+1/r18z/q27feGRqMxxBEB4ULQCeih2WzK+vq67Tqbm5tDGg0AAACAsNm2HssjeeD4veGgaQrpdegPQSegh1gsJhMTE7brjI6ODmk0AAAAAMLmiHFUjlsn5enz4z3XaTQa0mw2ey4HDjKCTkAPExMTsra2FvQwACD0wvwIbNjj2kHE+boftPtkqON3qtmk1Q1ye679PhbX+3eqY2TZB1qCvLf0+lvGUe2r8c5OX/08Y/yUPGP8lJTXep+LycnJQzcTCthD0AkAAAAAAPStydPr0Cdvj0sAAAAAAAAAumCmEwAA8CTqqTaHmdtr5yYV5qClZB1m+rWL+qPi3d6b+vq62MmTrdfNh4+UZcbIiMNo1OXW9mOH9Qer41q7PFcXT3xaaespbE77C5J+7fT7+sVjL9kuB9AdQScAAAAAANA3i/Q69In0OgAAAAAAAPiOoFOE1Ot1yWQysry87KmfhYUFyWQyMjY2JoZhyNTUlGSzWalUKge+TwAAAACAN03LCPQH0UF6XQSYpilXrlxpBZuyWfu88l4qlYpks1kxTVPS6bSUSiVJJBJSrVZlfn5eMplM69/j8fiB6hMAAHjnpv5KmGq1wF9Rr2Xj9t50rGN0+nOt13oNJ71GU+zYMXXjI+rXsRtbr7ka28AZ6hwFp3peVtNS2zs7gxmXD4yj6rnXr5VTLS+9flVza0tp8xkI7CLoFGKmacq1a9dkYWHBc1+VSkUymYyIiMzOzsri4mJrWSKRkJmZGUmlUlKpVCSVSsnq6qpjQCcqfQIAAAAAgOEjvS6kFhYWJJVKSbVa9dyXaZqt2VGJREIJ5LQrlXaj8fV63XE2VVT6BAAAAAD4xxJDLCvgHyHFLioIOoVQtVqVdDottVpNyuVyz+BLv/ZS1URE5ufne663N5NIZHfGUbFYjHyfAAAAAIDoaPzG70r1M3/X9ufxrbtBDxN9Ir0uhJLJpNKenp7ed1/1el0pvH3p0iXb9S9fvtyqHTU/Py+zs7OR7RMAgGHTa4C4renhdfsgRXnshw3Xyhu9rlF7HSe9LpCu+XhbaceOhPvrWOzEcaVtaePX7yXjyFHb7Z1qQg1T88ED2+WxkyeV9pv3vjzI4aDNzv1H8vjHd4IeBnzCTKcI8FKzqFAotF6n02nHvvZmEInsprt1e1JeVPoEAAAAAPjMGuzT62JPnZCj587Y/kiM9LqoCHdoHZ61p57pM6h6SSQSUq/XRURkaWlJCfBEqU8AAAAAQLR88JN/Rj74yT9ju863PvP/ksfvMRsqCgg6HWB6EfIXXnihr+2SyWQrmKPPIIpKnwAABMFrmlKU05yiPPbDxula+Z1+d9DS+fSUsIsnPt16bTlsq6ebybZ9utqwz5W+f50+Hqf1ZWdH3T7AdLoOhpr0o4/txWMv2W4eplRBIMxIrzvA2mskiezODOqHvl57UCgqfQIAAAAABsOygv1BdBB0OsBu3ryptPutDXXu3DmlvbKyErk+AQAAAABAsAg6HWB7qWd79juDqFarRa5PAAAAAAAQLGo6HWB6MGe/TNOMXJ8AAADoz6DrCLntL+i6Rm5ZzbZcH8P+//Stx2oNJ0uveRTwser71+sa6e3YsWNKu6kd340ttc5RmK6tXoPJsT6Vw/aHTVN4ehz6Q9DpANtvEEZPb7t161bk+vRDo9GQyclJz/3Mzc3J3NycDyMCAAAAMCzftb4t35PviIh4+l7QaDT8GhIQOQSd4GgQM4ii0Gez2ZT19XXP/WxubvowGgAAAADDtC2P5ZE8EBHx5XvBQWJZzHRCfwg6HWDxeNyXQEz7jKKo9OmHWCwmExMTnvsZHR31YTQAMDxhSn+AN1zLw8ntdQ/bfRG28bgRO6p+vdLTzXTGyIjSDvt71tp+rLRvaOO7eOLTSltPxwvT8fSTTndEjspxOdl12dPnx/veV6PRkGaz2ff6wEFC0OkAGx8f9yWYMz4+rryOQp9+mJiYkLW1NV/7BAAAABANzxgfkWfkI12Xldf6D6BNTk4yUwqHFkGnA2y/M3/0AJA+KykKfQIAAAAABqNJeh36ZP94BUTa9PS00u53NpFekHtqaipyfQIAAAAAgGAx0+kAS6VSSrter0symXTcrlarKe10Oh25PgEA+xemmhvDFvZ6Km5FffyHidO95+be5LoPl9Fex2lnR1kWO3lCXdmy1KZDzaegWR3Ho9Y30u9L48hR2+1D9RlraPMvLPuaS/pY9fpVbz78qi/DAg4aZjodYPoMonq93td27TON4vG4JBKJyPUJAAAAABgMywr2B9FB0OkASyaTSp2jmzdv9rXdyspK67UeEIpKnwAAAAAAIFik1x1wly5dkmKxKCIi1Wq1r23a15ufn49snwAAuEVaEoLidO8dpnszVClY/TCeFFRu6ulyW1vqqg7pZ2E71thR9evim/e+rLRfPPaS0taPRxeq49PT6Vym25FOB/SHmU4HXC6Xa72uVCqO67evk0gkutZJikqfAAAAAAB/WSJiWUawP0GfBPSNoFME9Ps0t26SyaQSkFleXrZdv1R68r8PvWYPRaVPAAAAAAAQHNLrIkAvrO02CLW4uChTU1MiInLt2jWZmZnpup5pmq0Ut3Q6LbOzs5HvEwAAAAAQHT/6R/9afvyP/7XtOtsbd4c0GnhF0CnkTNPsmMmztLQk+Xy+7z4SiYSUSiXJZrNSrVZlYWGh6/YXLlwQkd0nwbXPJIpynwAAwD+Rq7Vjw+lYonysfo/da39ut3daHvS10fc/cubMk4ZDHSBr+7H6D1odoaCPTdfUalLpDK3mk95uPnjg+5j8Ejt2TGk71Whyql9V3lnyZ2ARYVmG80r7tHP/kWy/d2dg/WO4SK8LIdM0JZvNSiaTkbGxsY6ZTtVqVQzDkEwm0wrQOJmZmZFyuSzxeFzm5+db25mmKZVKRVKplFSrVUkmk/LOO+8oT5OLep8AAAAAgGgYeeq4HDl3xvZHYoMLesFfzHQKoUHN4Emn07KxsSELCwuytLQkFy5cENM0JR6Py/T0tJRKpZ4pbVHvEwAAAADgj+YAZzqN/5U/J+N/5c/ZrvPt/8N1ZkNFBEGnQyifz7tKzztIfQIAAAAAgOEg6AQACKWw1bUA4O/7MOj3uNe6Ql4N8vj9rk/ldWx+n0u3/X3i9GfkofHka4/fx3PxxKefNLQaTcbIiNLWazp1LrevCTVsxpGjtsutx9tK+8bWa7brB/2+b6fXcLp4+nNKu3n/vtJWaneJyG/d/gdKO0zHBoQJQScAAAAAANA3ywp6BIgKCokDAAAAAADAd8x0AgCEUj+PzD5hbcsbQxoPAH8d9tSTYR5/0Oc66LSjN+5+ReTUqX1v7zR+q/lkyodTOp2efqcL+lq5pR/fxVOfVZdr6XdhOr7MyGX7FbRrtXP3nro96XRAXwg6AQAAAACA/lgi1gCfXtfvGBANpNcBAAAAAADAd8x0AnpoNBoyOTlpu87c3JzMzc0NaUQAAAAAwuS71rfle/Id2+8NjUZjiCMCwoWgE9BDs9mU9fV123U2NzeHNBoAQBhFrabHMMcbtXMzbIfp/PRTo8/N+sPmZTzGkaO2y/WaSGE7F8ZR9etiRx0khxpVN7Ze83tIvtHrbxnH1GvVvH/fdvu9a/NLv/RL8sUvftHxe8PBYgSfXidB7x/9IugE9BCLxWRiYsJ2ndHR0SGNBgAAAEDYjI6Oyvnz523XaTQa0mw2hzQiIFwIOgE9TExMyNraWtDDAAAAABBS/ZTbmJycPGQzoYAnCDoBAPYlbCkAOLza78Vh34dRu++HOd6wnRunz6xhf6YFmXIWts/vqKXf6eMZOXOm9Xrnzh1lmZ5eZ8S0lCBtedjS0azH27bLyztLSltPv7t44tNKu6n1p28/TE7pdB3X7ph9quRhw8Pj0C+eXgcAAAAAAADfMdMJAAAAAAD0LfhC4ogKZjoBAAAAAADAd8x0AgCEkl4XoqPugxETkRhFBRB4fRcvgq5VE/T+h8np2Pw+9jCf2zCNpR9ux5uJZeWEtS1vDGk8Lx57qfW6ow7QUfXrVvPBA6UdO3lSaYftvtFrUFnbDk9gs+yXB1nDSafXcHI613p9qvbrLiJibT921R9wWBB0AgAAAAAA/eM//dAngk4AAAAAACAUNt74F2L+k39lu872xh3b5QgPgk4AAAAAACAUmg8eyfatzaCHAZ8QdAIADITnuhQOdSEGvn9gCIK+L4Pc/0F/j3o9njCdD6/X6qBf6/a6TdbjbWVZ8+EjpR176il1Y0vNUQrbuTG0mlOytWW7fuzYMaXd1M6HXgfpxtZr+x+czzpqNO3sqCtof5eE7VoNkyWDfXqdcfKEjIyP2q6zs3Gn4/2DcCLoBAAAAAAAQmHsZ/+8jP3sn7dd552/9iuyw2yoSIgFPQAAAAAAAAAcPMx0AgDsj6H+v4Xf6RP6FP2O5SeOi2HFRB50X36Yp70jvKKepqTvv53bsYTtPRq2c+u0//b1Bz3WqKcKfuL0Z+Sh8eRrjz4er9e+PYUudlT9emUcPa6urKcD6SlcA+b2WJv37rvqzzhyVO1/Z8nF6IKlp/plRi4r7ZiWamj3eSgS/H0/aGS2oV/MdAIAAAAAAIDvCDoBAAAAAADAdwSdAAAAAABA3yzLCPRnEOr1umQyGVleXvbUz8LCgmQyGRkbGxPDMGRqakqy2axUKpVQ9Tks1HQCAPTFqXaB35raY5n1RxkbMaPj8cXoLuhaNXgi6rVxgt6/Hb3+SthqyTi9DwdZE8tp32H/jHB7bcvNksi9eyKnT4uIyBt3vyJy6pT9+m7Go52vkbNnW6/1GkiGaDWbRkaUZvPxttr3gO9jt8dqbT+23V4/F5ZWoyrU95ZWm/JjT88qbb0+l6VdK317/iaJLtM05cqVK61gUza7v795K5WKZLNZMU1T0um0lEolSSQSUq1WZX5+XjKZTOvf4/F4YH0OG0EnAAAAAADQvwHNNhom0zTl2rVrsrCw4LmvSqUimUxGRERmZ2dlcXGxtSyRSMjMzIykUimpVCqSSqVkdXXVMUg0iD6DQHodAAAAAAA4NBYWFiSVSkm1WvXcl2mardlRiURCCQ61K5V2Z/rV63XH2VSD6DMozHQCemg0GjI5OWm7ztzcnMzNzQ1pRMBweXl8tx8cp/CLiGVpU91t1g9ySn/QYwlVOoMPgj6f8Iff19FrGtKg76Mg71OnfYf9PRS2VEn9fF08/bnWaz29TERNp5Om+nsrduK4uvjhI8/jGyT9fWscOaq2tZS05oMHSltPlb+x9ZqPo3MndvKE0t65tWG//rFjStva3k2n+671bfmefKdj/fbvEY1GY7/DxABUq1VJp9OSz+dFRKRYLEoul9t3f3vpbyIi8/PzPdfbm520vLwslUpFisWizM7Odl13EH0GhZlOQA/NZlPW19dtfzY3N4MeJgAAAICAbMtjeSQPOn7avzM0mwev3pNlBfvjRTKZlGQy2WpPT0/vu696va4U87506ZLt+pcvP6nb1iuYNIg+g8RMJ6CHWCwmExMTtuuMjo4OaTQAAAAAwuaIHJXjcrLj358+P9563Wg0DmTg6aDwUgepUCi0XqfTace+ZmZmWq9N05Tl5WXl3wbVZ5AIOgE9TExMyNraWtDDAAAAABBSzxgfkWfkIx3/Xl57koY5OTkp6+vrwxwWhqRYLLZet8+espNIJKRer4uIyNLSUkeAaBB9BomgEwCgK681nLw+9rmjf+3RxOWdJeWR2Lph1yhpH6/XR6HDnt35DFu9p7CNR+e2Fpuf43eq2+Z2edj4/hmoaT/+qJ2bg2zk9CmlbT3SajSNqDWerMe9axPuh9f7Thc7qc7gcaw5ZahPNAvzvfjm3V+3Xd5RS7Kp5XR1+7vksLDe/wl6DAHTi5C/8MILfW2XTCZbAaLl5eWB9xk0ajoBAAAAAAC40F53SWR3tlE/9PXaA02D6DNoBJ0AAAAAAABcuHnzptLutzbUuXPnlPbKyspA+wwa6XUAAAAAAKBvlmU4r3TA7aWz7dnvrKRarTbQPoNG0AkAhijKdTecaiyJpT6VxXMdiWPH1H/Q6mC8eOwlOWFty2962ot/onQtDzKugzthOl9OYwnTWPuhfwa6qdHUrW23vdtzE+XfRaFk9/z2I+rXLePoUXX5zo7SvLHl7Xen33WFDO138Yh2PDt37ihta/uxr/sfJL3+VcffMdr74uKpz6qrR+hYMRh6gGi/TNMcaJ9BI+gEAAAAAAAG7vb/53dk83/6Hc/97Jh3nFcasP0GdvSUuVu3bg20z6ARdAIAAAAAAP3b59Pjmg8eys7Gpr9jibhBzEpiphMAHFKDTmFoT5kYerqElm7nNX1DfzSxtfWgY3+WpaYlAMPm9HjyoNOWnN6HBynNatjHOuz9+XltBn3sB43T8RptKWc7d++p62qfCR0pWtrvurCdW+uxmkLWvH/fdv2RM2eU9sUTn1babz78qtIO1WeU9nfMi8deUtp6Ol1HGQD0JXbyhIyMjXruZ8e8Y5/aOgTxeNyX4E77LKVB9Bk0gk4AAAAAAKBv+y0kPvqx/0hGP/Yfed7/2n95LfAZU+Pj474EiMbHxwfaZ9BizqsAAAAAAABgz35nE+lBJX2mk999Bo2gEwAAAAAAgAvT09NKu98ZSnqR76mpqYH2GTTS6wBggPyuVeC0vptaB2737XVsbjk9ijh24rgYVkzkge1qwED5/XhyJ/r7TOf0mRCmejFuPx91QR+r2/35/Xk/qG37MezfB06CPt7mg4et10d+4pyyTK/7NjKq1jxqPnzkal9Dt72tNPU6Rs2tLaVtaevry3Ve//bwU+zkCaXdUb9Kq/lkHD+utMP0+ToUwZZTCoVUKqW06/W6JJNJx+1qtZrSTqfTA+0zaMx0AgAAAAAAcEGflVSv1/varn32Ujwel0QiMdA+g0bQCQAAAAAAwIVkMqnUTrp582Zf262srLRe60GmQfQZNNLrAMADt+kfTsuHOTXbbd9Ox2ocOWq7vutj0aax62lMmZHLYlnqNP6oCvuU/LCPL8z8PndBb69rPz63fQ96fZ3Xa+H3572TMKdG6oIem9dr6XW87WlZO7fMnstERKzH9qnjw0zD7EfsjJoOuP3ee+oK2u9q6/G27XI93XDYKcrtjJER9R8sNV9MP5cXT31Wae/cuWO7/sG3v6fXHTSXLl2SYrEoIiLVarWvbdrXm5+fH0qfQWKmEwAAAAAAgEu5XK71ulKpOK7fvk4ikehae2kQfQaJoBMAAAAAADiU+n1CXDfJZFIJ8iwvL9uuXyo9mRHXa0bSIPoMEkEnAAAAAADQPyvgHx/pxbrdBqEWFxdbr69du9ZzPdM0W2lz6XRaZmdnh9pnUKjpBCBUPnH6M/JG+2vr64GOx8mwH8sc6COztboMYjXV5rZ9nQq3YieOO690QIS9DkTUH3ce1L766T/oWjh+clvzyKm2i9/1q5zGN+z+vO7fr3X3I+z3bSaWlRPWduvvCZ3ba+l0fEZb3Sbj0SN14fa2tu5JpR3Tlje3tmz35XZsXjW1ukUdtL8FjJj69dLaUVcPsoaTk+aDB0r7xWMvKW3975wo1V1Db6ZpdswOWlpaknw+33cfiURCSqWSZLNZqVarsrCw0HX7CxcuiMju0+XaZycNq8+gMNMJ6KHRaMjk5KTtz/Xr14MeJgAAAICAXL9+XSYnJ+WfW/+j8tP+naHRaAQ9TLQxTVOy2axkMhkZGxvrmOlUrVbFMAzJZDKtoI+TmZkZKZfLEo/HZX5+vrWdaZpSqVQklUpJtVqVZDIp77zzjvKEumH2GQRmOgE9NJtNWV9ft11nc3NzSKMBAAAAEDabm5tdvzM4fY+IPJ9T3IZpULOC0um0bGxsyMLCgiwtLcmFCxfENE2Jx+MyPT0tpVJJZmZmAu9z2Ag6AT3EYjGZmJiwXWd0dHRIo4kut4/GfePuV0ROn37yesj8fqR2kFOrXY/d5bWKHTumtJv6Y5I9aj5UUxT0RxXHThwXw4qJqLPhEUF+vk+c3oNBpzt0vM9C/hnj5/kM29i98tqffi/oaUphTjMNW9poR3qcERORWOtL8SdOf0YeGk++9gzyc8Hpd2FsREufGxnxbd/74XStrKYaWTCOHFWXO6TWx46qXzfd/q0xSPrY9b9r9GPXfezp3do57z74n+V47JQ8PRHvuW6j0ZBms9lzOQ6WfD7vKj0vqD6HhaAT0MPExISsra0FPQwAAAAAIfWhk39KPnTyT8lvrRV7rjM5OXnwZj5ZRtAjQERQ0wkAAAAAAAC+I+gEAAAAAAAA35FeB2CgwvxoXJHOx+EGXe/FLT/rZjhdK0OrO6HXrYidOK6037z35X2PRUQ66pvojzKOHTvWsQ7643dNDbf34SDrvYT9Edb6uQ6yro/IcGtgeb0vgl4+cIa7/wtuH6/fNZmGzev7oOvye/dETn9NRN6vEXnq1JP9+Xytm3fvtV6PnD5ls6aItbOjtI2jao2kmLY86Npk+ng7ON23R7Svm1tb3dcLQOzkSfUfDDVdzLp/X11fq/m0s3FbaQf+GTJkVoQLiWO4CDoBAAAAAIBQ2Hzzn8md8j+3XWfHvDOk0cArgk4AAAAAACAUmg8fyc7GZtDDgE8IOgEAAAAAgP4NML0uduK4jIyN2q6zY94hxy8iCDoBGCi9ZpK1/dh2/fKdXxvgaDrz7d3W0HAy7Px9u/0NuraAXsOp+fCRp/3r6+u1E958+FWl/eKxl/hjY5+GXcOpY/8e70U3+w9d3R6N22vh97nzUkfIaTwd+/LI6Vq63b6Dw7nw+97x+j4c5L3rdG7d1lhyrB025PqPfr+PYk891Xptbav1DsWpJpJW06mp1TwK+jNKr+fYUePJobZi88FDX8fj5/vQ0OpNOY3Valr6P+x737A3+uJ/LKMv/se266x//m8xGyoieHodAAAAAAAAfMdMJwAAAAAA0B/L2P0JegyIBIJOAHz3idOfkYfG+x8verqC1u6YUn/vnnjhddr1sB/97nV/fnLq2ziipQA8eKC0R86cUdo7d91dS/3YL57+nNo+8Wl1PLEQ/MEzJGG7Lwe9f6f+vPCabuc17citsI3PTYqb41hHLqvra78P3N6HTsfuNcVrmGmhgzbs93jQKWJO3L5v9PbHzv7V1mtDSw3Xf1fq6Wo7m+6ewDXsvztip55S2s1795W2pWcPasfnd1qNn/fSb93+B0pb/0zS/2Y1jqpfnfVUw2GniQJRQXodAAAAAAAAfMdMJwAAAAAA0DeDZ7mgT8x0AgAAAAAAgO+Y6QRgoPT89hePvaS0O2oL3Pk12/681qHw+/HpXutedIzHocaJl1oGXmtw6NcuptWt0B8Trdet8Kr5WO0/dtT+V9iwa+8MUtD3pdP2Tvsf9PvMDb/rog26xpLrukgB1vvyWlPJ6/Jh1xUadF2jjvPpVBNxiPx+jwfN83hjNv+Pr/1u1GsejZw+pbT1OkNeeb42I+qxWduP1eV67U5Nc2vL1frD1PF3jfZ3hT725sNH6vonTwxmYFHBTCf0KTzvegAAAAAAABwYBJ0AAAAAAADgO9LrAHiWiWXlhLUtb7zffuPuV0ROneq6rj4tu2Oa9717tvvyfUq/y2neA39MtNV0t76mfXxuHy/udqxWU51XHTutTjNvPthw1Z8Tr+l6g073sDv3Hes6pFHa9d1P/06GvX2YHw3vdXuvKV9euU2xGuTxe/08HHZ6tFcDv7YO6dd+9u13f0GnBup/l+xn+3ZO58s4cbz1url5R12mpc/Jjrff88NOt7buqn+X6an1euq7cUT9ehk7eVLd4c6O7XiGydLGYm2r10Y/Vj01Uk+dDPozaegsI+gRICKY6QQAAAAAAADfMdMJ6KHRaMjk5KTtOnNzczI3NzekEQEAAAAIk3e3/518d+f3O/69/XtEo9EY5pCAUCHoBPTQbDZlfX3ddp3Nzc0hjQYAAABA2GzLY3kkDzr+3el7ROTx9Dr0iaAT0EMsFpOJiQnbdUZHR4c0Gn+5rVHipNws7dZiOn1aREQ+cfoz8tA40rXvI+fOuR2uK67z6bUaSk61dpzOlZ7//+bDr9qur3N7LbzUC4g99ZTtcv1c6I8Sjp05o26gPVa5oxaCA6dzqT+a2NrZEbEsEe1pzHu81rEYZP2uoOvweF3fafsgH+0+6PpXfvfv9Jkz6Boh+iPDb2y95mp/dsv9fo+52fdB5HRvuOrL58+EjvvY498VXul/lwzc9pPaQJZW46j58LbSPvIT6t9BTVNdPuyaf17rOer1Fq1t/fgf2fYXaB0kvY6mXudTO7aOY3l/+xErJsflpDx9frznrhqNhjSb3up5AVFF0AnoYWJiQtbW1oIeBgAAAICQesb4iDwjH5HyWu+A2eTk5MGf+QT0QNAJAAAAAAD0j/Q69Imn1wEAAAAAAMB3zHQCDqFB1ygRI9aZF/++5gO10KJeT+T44wfyxvuvP3H6M/KG9XV1rD7XjQh6e52+vXHkqNLW663Y1dLRz621s6Ouq9Uy0NfXlxvHj6vLtRpOzTt3tc3d/ReYfi4/dvavqvt/6qTa3t6RmHVE5H73/rzWxXBaPsi6E67rruk1lIZcz6qDXifDZ3bjG3T9Krfnymm5033p9nicttffF35eK7/r9ng9t77X3/L4+8Fvg+w/bO/50Gv7fWjEDGWRpf/qfaQWIozFz6rLb5lK2/EzZNA1kLS6Roba7Pi7Tj/+zppPj5V2mGqzua0/2PF5Ct9svvVN2Xzrn9uus3ObBzpFBUEnAAAAAADQvwGm1zUfPJIdrcg+oougEwAAAAAACIXYieMyos0C1O3c3tx9ijFCj6ATImNhYUHK5bKsrKyIaZqSSCQkmUxKLpeTdDod9PCGynXqjcb3FAMjJies7VZaXLuLpz+n/oP2y0GfZv3G3a+0HnH8xt2vdHboMIVfT0dzPfVZS1Ny+yh4t2lQTtPO9bZTf+3nx9pWz5VTmo2+L71vPT3POKGm2xkPHqrra4+NdntfGuNxdYW7ah6dtbUllqWNub0/j2lLQRp4CqzL/XvdXr/X9Pu+I23UITXSy/jClqLlNX3OLdfpIy7273dqo9vlXs+t3/05pTIOMhU06L8TdE6/m93elzq/+3Or2TYjwzippoKPHNf+bmmq7R0tnU7/XRu231XNh4/Uf9D/VtBS6/XPd92wf7/Z7cvvz9sDzzKc19mn0b/0URn9Sx+1XWftv/k/MxsqIigkjtCrVCoyNjYm8/PzIiJSKpWkVqtJoVCQarUqmUxGMpmMmKYZ7EABAAAAAEALM50QapVKRTKZjIiIzM7OyuLiYmtZIpGQmZkZSaVSUqlUJJVKyerqqsTj8YBGCwAAAAAA9jDTCaFlmqZks7vTXBOJhBJwalcq7U6NrdfrrfUBAAAAAINhWMH+IDqY6YTQymazrZS5vdS6bvZmPC0vL0ulUpFisSizs7NDGuVg6I+uj516SmmPjI8pbb2WQewpdf037/660u6os6Tl439s7GWlbT1W6+bo/YuIGNbjro+uj505rf7D8WPq2N79vyntT8Q+1aoN9Ykzn5WHYv8o+IsnPq2O46j6sdZRh0h/9K/2aN/mlvoo4w5aTY6Oc6/VOeoYr37ut9W6R3otCL0uUkfdJU37tdGvu35fdZyLo+rY37z3ZaX98Q/+gtJunhtV931UrdkxckTt/3/6d9d6Dbs77VzKEe1X1qkTIjtbIv+m++bDrhPRvj+/H3PvtQ6RU/9uua2VtvWXp5X2sf/xd5W2/j72UnfI9bHpddE0XusOeeZQR27Q97mfNa6c1tU/o9w+Wj3oukVu+3M6l27Ol143R99WP7c6ff2PPa39HaX9LmpqNfyOnDuntPVj0/9usB6ov5vdCrrWmi7WVvDY0usban+HxE6fUtrGI7VG0o2twdajcn2sO/bXSv9M0u8d/fNd/zsrbDWr2gVdXxE4KJjphFCq1+tSqVRa7UuXLtmuf/nyky9AdgEqAAAAAAAwHASdEEqFQqH1Op1OO9ZpmpmZab02TVOWl5cHNTQAAAAAOLyskPwgEkivQygVi8XW62Qy2dc2iURC6vW6iIgsLS0pgaig6dNx9fQ4Q0ufiP3Us/Ydak/fHdGmveuPmten1Y88+0eV9pv//peV9sefyytta1RN+TIeavu7d19izSfpdbHR0zJi7KZa3U8+o6x774Pqx85HP1ZQ2qMjIyLvd2+MjEhsRE3Z6ki/0KetayljerqboaVoGU+pxyYbprr8uJbipafv3b2nLtfG8/Gf+Gtix9Cm2Vvao4hjJ09oW6htPcVBrCe/gfUp7Xqapv7YZp0+Rd5oSx8Q6bwPrBPqtTK27VMRnR4fvj2mnpsjG+q5vv/MGWlu906vm7qpnis9PfDxR86r493R/nr5V79nOz671B192Xd+TU0ve3fAU/Kdxuo2PU6/VrFjapqsni6hv0+PJ/+Y0n6cVs/HkcqKOj6XaVHtj2N3us860um05W5TvDrSVo86/Gml7d/t+6Lj3LjsT+c6fcQmHVHft57Cq5/LmJ5O7DKdzvHx5g6piU7cnnvXqY8OqZ1O2lPqvKYS6tsf+cBPKG39d41+n+/c3rTdn35vuL0WuqBTI3XWI4fU/DZN/e8G7e+SsKUO6n+nyK0NpdnxGaiVLXjz4VdtxxOkjr+Pz5xR2k5j9fu+Bg4qZjohdKrVqtJ+4YUX+tquPTjFTCcAAAAAAIJF0Amh017LSWR3BlM/9PX04BUAAAAAABgegk4InZs3byptp3pOe85pT05ZWVnpsSYAAAAAABg0ajohdPbqMu3Z70ynWq3m25h0eg73yJ/4sNK+lVIDYD/5zQ8q7dc//E+U9nFDrYXj5F88VGt0/OL/Mae0v/nKq0r7z8+py9NXf0dp/8xnrivtv/z131faHx/9n5X2L6/9ZaX9J8405Oj9bZGf2W3X8n9MHrxfC2nkgZrb/59+4l+qff2kWjfnZ/7Zp0TeP73f/+qUjBXU2jExrU6QdUSrh7X5QGnLEbWmiNxRaylYZ9X8fb0GlGWqdSr0RyHHxuJKe/uHP1bahl4LR69hotXC0Wug6KxtrZ6WVlej/bHUeo0NeaCeG71e1Y5WZ2JErzd1XL0WP/4Z9T63tDoOx+6pxx7XzqXu45N/Q2lv/fSk7fojD5oysvNkH584/Rl5aDw5H2/+oXpvJWd+Xmk//Et3lLb1b9R74UPfUq+VmzpIel2I+Lm7al8DrtnhVCvGqe5E5+PV1ftSr+Gk70+vzSO/+78ozePa+fktl/VmnGq72Y3NqcaR/uh5p5oeev2SpvY+80o/Vr2ell4vRa/lZjXVWmX6eDvqMB1Rfx853avt2zvdV3pf+rly2rf++dlBu9b656lT/RXH97jLe8mp3pbb82VXY8qxjptDX3r74x/+vDoYvQ6RxjimXTvtWI9otSzDxnPdo7bfj807d7WF6ntOv4+bd9TfRX6Pzevvl52N20pbH/+b976stPXPoI773uXnvd/1u9rpvzs6fpe4fc8D6IqgE0JHDzrtl2mavvQDAAAAAHjC4Olx6BNBJ4TOfoNFehrerVu3PI2j0WjI5GT3mRY/bmp9/776VmrWn/zPyAf/xF+UnxT1aXEAAAAAwu271r+X71nf7r5QC7r0+t4gsvu9AjisCDrhwPI606nZbMr6+np/K2/3bj849lDub6vTzr+8qQahrpxVfxE9ttQOjxrqW/X3Hqrbb59Up//q6XdH7qvtpqVO9Ta09Iv/3ejbSvurGz+jtH9w/7TSXq39WTn5aEv+W/kn7/dniLGzu4/t02rfm9vqY+x19x8cU16PP1TPxfa5p5T2kffuK+3mqDrtO3ZLm7aupdsZt7Xl2jR4Iz6qtre1qdcPHynNkbGz6ng2tWn2mthJ9Xx0pM8dcXr8ujrejpS69r616yzavvTUQolpKVMn1ft466y671MN9T576gdqCpalnStDS9fTr83Ru9q5aKr9n/juhhxvPtmH8dRJidmkqm7F1fYHzqrX/vsxNeVLT/1x82h5PVXw5al/obT/saipiU7cpNmISGcKgJ7m4/KR1Xraky6mpXnqKV8dj9Qej6vjcZnWpKfvtZ8Pp1TDjhTXx+p9pqeG6LyeO33serqcnrrYke7ncK6czn3H48u1/vT96dt7eUS4XWqeiHNqi36tnNLp9GPRdaaRahxSaZyOp2N9PZ3PZcqbl0fNu01Ran7/h2r7vvq71ul9pB/rxz/4C0rb6Vgcj1279l4fVe9nCld7mrtI57mztPvK0NNGHc7lsOmp9k2tzMDF059T2oa2vtzaUJr6+87pfTpI+t89+rGJ1ZRta0seSX9p031/bzgotO8TQC8EnRA68Xjcl9S4fguQ9xKLxWRiYqLrsh//ofoLVLQvXDvHnnwIjxy3D7IAAAAACJ8jclSOi0M9ufc9fX6857JGoyHNJjWhcDgRdELojI+P+xJ0Gh/v/cHfj4mJCVlbW+u67OKpzyrt7T/zx5X29/+MHmj6Xz2NBQAAAMBwPWN8RJ6Rj+w2HAqLl9d6z5ibnJw8fDOhgPcRdELo7HeGkh6o8jrTCQAAAADQBYXE0SeCTgid6elpqVarrbZpmn0FkPTC4VNTU34PrUV/PKyu4zHPf1fN7/9HE39WbWu1c0Sry/P4I+eV9tE/NJX26fq/Vtpf+p3/rdI+sf67Srv6/1XTBk//QN1+/t/+75W28Z76uNwzhlqb54+duy/Hd57UIZl6dV0exXbrmDz68AeUdf/dW39Kaf+Fk39aaSf+8ZOxJmZ/Xx5aao2OkZpWw0irf9JRS0GvkXRczd/Xa4joNUEMreaS/ihkQ6vHItrUab1mk67jcb1aLYeO/nX68bU/tlpfpj+m+Z5aZ0J/5LVxVq1xJI+0WjTqqZdT62otBON3vqW0f8tlzYz0f/y3lHbzuPora6TZVM73b/7wVZFTT2pJfPyf/ZfK+n/06z9W2rdrH1TaH7yvF2ezZ1dzRK938n9/42eV9rPyr2z77qg1o//vqhOH/43V6wg51fnpqLWjcaojZL3wJ5T2/XH1ffjNd66r+3eo3+KG/p7W32Odj8xWt3d8vLdex0c713oNp5Gzat23ndvq56t+rE51h/Rz5VRDSudUZ0jvTz+fbrbVa7d0XBubWl0izuf6xpb9sTjeRw610Lw+Lt2xdpm+vou6R07H6vYx9PpnWMe1eqTVM9TqtOm10fRaZW7rVflZc2nQtrUaRvp9M+JUq9Elt9fWLafPf71m1Yh2r3T8XabXTdIM9Vprx9ZR21L/G/G4fQ2oQV+Lw+T2b39Tbv/2N23X2dnsXccU4ULQCaGTSqWUdr1el2Qy6bhdrVZT2ul02tdxAQAAAAAGq/nwYed/yiCyCDohdKanp5V2v0Gn9vS6eDwuiUTC76EBAAAAAAaYXhc7fqJjZrBuZ3NTxCLHLwoIOiF0ksmk8gS7mzdvyszMjON2Kysrrdd64AoAAAAAEH5nP/oX5exH/6LtOt/74n/HbKiIIOiEULp06ZIUi0UREaW+k5329ebn5wcyrn65rgGi0WsnHPk9NWe8qeWY6/tzqgFiPVRrMejb60/nMz7wtNrBtpbfv/Z9EetJLY6d763JtrH78aJlx4t1y1Tax/Xc/vb/sWhaYu1o9Ui0GiG6jloBeg0OrZ6LXs9EP3eGVreioy6FVt/LqS6FU02RkVG1jpJTvRd9/O067gNt7EZMrY+l14Da/p769MYjf3RSaf9E9Z66/IfqWHccrpVT7YOjP7ijtJtn1PpY1qkTYu08OR+fOP0ZeWg8+bXWWdvmD5X26d+3P5eO11LjqnbD5+0X67Vv9LEMvG6E/kQep880h3N177xaH+Zfvv5fKW2nzyw318bruXB7ru3eg/3071TbxqlOkVPdI7fnw8v5c7utfp879u/yPer5XnD4Xe32WjrWqNK4ed+5fY86nbsjP/VhpW19T33qVmwsrm5wSq3b8+b3/9/q/rRj9bNuWz8+ceazyu8Hp/et22vb/vtRr+Vobal/x3TUSNJmarj9TBl43SBtfMZR+6+Plva3RPPBA6Wt1wsLUlP7m1D/O8ntexZAd4P9hAf2KZfLtV5XKhXH9dvXSSQS1HMCAAAAgAExrGB/EB0EnRBKyWRSCRwtLy/brl8qPfmfiKBnOQEAAAAAANLrEGKLi4syNTUlIiLXrl3rWdfJNM1WKl46nZbZ2dmhjXG/3E6d1jlNi3d87LTD9vpU6DedHmcuIk3ryRRl48hRMd6fxq6n0+mPWdbH+pt3fk3k9O54f9P87+XFsSu267s9Nj1tqOPR7lr/+n+kOE5jd0h/c3rk929t/Kq6vn482vq2KQoOj/fWp/jraZ16elrzR+8p7ZG7anqdaI+B1h+h7VpTHX9s7Yfq8jOnxWg+mQr/xt2viJw61WrraaJOKWs6t+kqblIcvKbHeU13c9uf1+2dxtNxbXx8tLzblCc3Kaz74fYzxO32jiloev8OnxNuPmP9fs84pjY6pb74nCbqe6qiw7n33P8+1x2GYY/njTtfVn4/6Nzem/ryj3/wF1qvjRN6YQGNXvjYUFPd9b9L3Kah+q2pl2Rw+LumI3Vf70/7GzNII6fVe0L/u8jp89Pv3w/AQcVMJ4RWIpFozWCqVquysLDQdb0LFy6IyO4T69pnPAEAAAAABsAK+AeRQdAJoTYzMyPlclni8bjMz89LNpuVarUqpmlKpVKRVCol1WpVksmkvPPOOxKPx4MeMgAAAAAAEIJOiIB0Oi0bGxtSKBSkXq/LhQsXZGxsTLLZrIyPj0upVJLV1VUCTgAAAAAAhAg1nRAZ+Xxe8vl80MMIBbe1BrzWj+nvsc+xrlNdmw8eKm39UcLlh19VN7in1gnSayzp+fRuH2us02sPWE41mVw+5tmpxoi+vV7LQX+08Jv3vmy7v/btLe2pzPpjjvXaBU51Iz429rLt8qZW4yn29Ljt+o73odZf885dpW082hLL0u6PNk7nyvXjzT2+j/zadhj9ez12zzWrHN53duPzOna3NTr097jXGh9eH+XewWONKKf13dYP87IvndfP/w4u67V4/cwY9PsoSPrY9RqBfn+mOC3/xOnPyEPjSM/lbs+t/rt65ANPP2lof/d00Go4ddR4Chn977aLJz6tLtf+tnhT+7tOX19f7paf7wu9zmhza0tpO91nYau/NXThvnURIsx0AgAAAAAAgO+Y6QQAAAAAAPpmMNMJfTIsK+RzOoEhm5yclPX1dTl//rysra0FPZyB8JySpk2Tt7YfywlrW96QfyQiIp+Q/7Q1jV3v+2NPzyrt3/pxUWl/wvg5pZ83rK/bjsXzY+8dHs3ud3qFW4792aSD6NO+9VRFt+kJen/GMfU+0Flb6v7cTjvX7xXZUVMTjVNPyfHmY/lHjVd2/+HuXdtHYg/TMFP1DgI/U4AHfS4Hfe2CvjeGuf9hp2069aeL0vvS72M5EOfm3j2R06d3X7v8/eD2Xvv4c0/KP1g//LGyTE/hMrS0eWmqv9t2tNRyrym7bunHPnL2rNLe2byjbqCVDYgdO6YtVr9q6qn9wz4+N/S/EfVUQj0dT9d+3xyU7xd7xzFy9qx86L/+bwMdy7t/67+Tndu3I39ODwPS6wAAAAAAAOA70usAAAAAAEB/LBGxDMfVBj4GRAIznQAAAAAAAOA7ZjoBPTQaDZmcnLRdZ25uTubm5oY0Iv84PjJ8P3U12monvHH3Kz1rJ1harYKOvu5+RenH8yOn9ZpNWu2BjseJ68sddNTq0R+f7vJcumX3aHmnmkxO9aycxhY79ZTSbt67r7T1GlKuPd5W+9PqQBiPtkQsj/sYEK/vsWELugaV1/78HI/TZ4bX2jhRv/Y6u+Pp+DzUa7fon78O/K7hFLZrGeS9EvZz41Ymln2/1uT+uB7/nbutl3oNJ72mkTx4oDRjcbVmUkzbfthc16Z0+z4OUQ2niyc+rbSb2t8d+ud/x7V833etb8v35Dvy9Plx5d/bv0c0Gg0PIwWijaAT0EOz2ZT19XXbdTY3N4c0GgAAAABhsy2P5ZE8cPzecOCQ3oY+EXQCeojFYjIxMWG7zujo6JBGAwAAACBsjshROS4nO2Y6tWs0GtJsuptNDxwUBJ2AHiYmJnj8JgAAAICenjE+Is/IR6S81jstc3Jy8vDNhALeR9AJgGvd8v33WztB7+sTxs+1+vnE6c9I2fq67faONZ8cagf4XYfCa60Ct7WA3NSEurH1mrqtXrvGoS6DfmwXT39O3fyo+itF359bO1r9L5219Via1rbtOkHxUgcnCGGrQeX2fWl3vt3Wp3L7Hva77ty+aup5MMhr73Qu/T7XbmvkuT2Xw6515sTN8br9TNLXN44cVdqea/a55Hb8eq3JQY9n5MyZ1mu97k9HPcKY+ruyqf2u61U3KCixp9T6jbKt1VvUxtvc2lLa+r0TKiMjalur6aSP3fHvqEPGGOCtuvHPf1vM3/mm7To7dyhzEhUEnQAAAAAAQCg0Hz2Unc3bQQ8DPiHoBAAAAAAAQiF2/ISMjJ61XWfnzqaIFa6ZgeiOoBMARy8ee0lpO6VN/ZUPXJFHxu6U5NjJk8oyfdq17o27X2lNh3/j7lc6lg/y8d7duH1UsNt0kSAfPe81taXj2mqPgfaaehI7cVxpG0e0lIQHD223d3uv+HktBp1mE3Raz6C5PZ729fVzM+j7wHN/lrvCsn5f6yjdSx3n2mVqolteUye99u/m2vj9u23Qv1vd8ppKqfP9vo89+Vtg5Kz6kBn9d6OhpXRZjx552/egOaTTdaRaan8XOaViBvoZZBhqW/s8trbVttf77sAZYLxn7C98VMb+wkdt13nnl7/IbKiIsC/gAQAAAAAAAOwDM50AAAAAAEBfDBlsIfF+x4BoYKYTAAAAAAAAfMdMJwCOnGo46Y8m/s0fvipy6pSIiFw89VnbbfWaHCeaW/LG+68/cfoz8ob19c59OY3FBa/1WNw+Ltfro+Dd1BQZdC2bN+99WWnrtb/0x0S7pm3/W9r+Lp74tIjV+/+5Bvko+KB5vW8OMq+fAU4GXefHq2HXMmv/DHRbJ86rQe9v0HWNvF4bu1pmbj//ovaZ0c9n4Alru/X3hNvt3e6//W8d67Faw8g4etS+M73G09aDHisGxOX4YidPqP+gFXoedC02N5r37yvt2LFjSvvNh19V2k5/0wJe1Ot1yeVyUi6Xgx6K75jpBAAAAAAA+mcF/OOTsbExMQxjXz+5XM6xf9M0++prampKEomEfwcWIgSdAAAAAADAobK8vCymae57+0wm47hOsVjsu7/5+fl9jyXMSK8DMFDNh+qjgB2nUbel6b1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5Tse/t3+PaDQawxxS5P149bflx6vftF1n+97mkEYDrwg6AT00m01ZX1+3XWdzkw87YFicpti/cfcrIqdODWk0wGAEnZak8zPVZdjpdMNOb9P7D1NqpNexRC0VsryzJHLvnsjpr4nIcNOvYyeOK23r8bba3nqstrfV9qC5PfY3731Zab947CXb9WNaOl5TO/7yzpLt9sO8t/Rz77hvLXVw71h+6Zd+Sb74xS92rO70PSLyBphet/PooWzfvT24HWCoCDoBPcRiMZmYmLBdZ3R0dEijAQAAABA2o6Ojcv78efnx+i3l358+P9563Wg0pNlsDntokTVy7IQcOX3Wdp3te5siFoWlooCgE9DDxMSErK2tBT0MAAAAACG1V26jY0bg2pOZU5OTkwd/5pOPnk59VJ5OfdR2nd9/9YvMhooIgk4AAAAAAKBvRtADQGQQdAIAhFI/jyq2eyQ2EAVRq5XjxbCPzWl/Xs/9sI/nMN0rXmVi2aH+frCaT1J8rMePlGV6DaOLpz+ntI1jR5X2m3d/3efRedPtd6/CsH8YujEyYtufn/XGPPc1ctl+BUtNj+M9CfTH/lMCAAAAAAAA2AdmOgEAAAAAgP5Rwxt9IugEAIiErtPW790TOX16+IMBfEI6RnCidu6DHG8kz1Xb74c37n5F5NSp1nK/06KUFLktddnFU59V2tbjbU/7GrbYyZNK+817X1baekpae6qhiIi1s6O0/b6XPPWnpQbqqYD62I0jairkja3XlDbpdkB3pNdFUL1el0wmI8vLy576WVhYkEwmI2NjY2IYhkxNTUk2m5VKpXLg+wQAAAAAAINF0ClCTNOUbDYrU1NTUqlU5NatW/vqp1KpyNjYmMzPz4uISKlUklqtJoVCQarVqmQyGclkMmKa5oHrEwAAAACwf4aIGFbAP0GfBPSN9LoIME1Trl27JgsLC577qlQqkslkRERkdnZWFhcXW8sSiYTMzMxIKpWSSqUiqVRKVldXJR6PH4g+AQAAAADA8BB0CrmFhQVZXFyURCLhua+9mVIiu4Gb9kBOu1KpJFNTU1Kv1yWbzUq5XI58nwAAHESDriFCTRIMg9N97Pd97vt9vf2kTpNeB8jafqy0R86cUdo7d+/5OxafNR88sF2u10EyYur8E0s9HeGqe2Q11ea22nYaW6iOZdgsCb6QeND7R99IrwuxarUq6XRaarWalMvlnsGXfmWz2VYq2l7KWjd7M4lEdmccFYvFyPcJAAAAAACGi6BTiCWTSUkmk6329PT0vvuq1+tK4e1Lly7Zrn/58pMnUfQK/ESlTwAAAAAAMHyk10WIl5pFhUKh9TqdTjv2tTeDSGQ33W15eVn5tyj1CQDAQRWldI5DnYoi4T5+t2MbdrpbmM5VV0favlI93lYWxY4dU9rNBw/V5UfVr2Ohu08M+zkKevpgR8aTw/ZBckrj1A07DTT0SG9Dn8L7KQBftaeetc+estNeR2ppaSmyfQIAAAAAgOEj6HQIVKtVpf3CCy/0tV170Gd5eTmSfQIAAAAAgGAQdDoE2mskiUjfT8LT12sPCkWlTwAAAACAvwwr2B9EBzWdDoGbN28q7X5rQ507d05pr6ystGYVRaVPABiW9loOB76Og88OXR2MQ+qwXdco3dduxxbmY9kPz9dq+0kdJ71Gk86IGUr7zYdfdbcvl7wemzEyYtuf25pNxpGjrtb3wu2xx556ynZ7fexReo8DQWKm0yFQr9eV9n5nENVqtcj1CQAAAAAAgsFMp0NAD+bsl2makesTAAAAAOCzAaa4/ehbvy0/+tY3bdd5fH9zcAOArwg6HQL7DcLo6W23bt2KXJ8AAAAAgOjY2Xooj+/dDnoY8AlBJ/RtEDOIwtxno9GQyclJz/3Mzc3J3NycDyMCDpeo1UoI+/jCjHOHgyjK97Xbz9+ofV7rvI63+fhJTafyzpKy7MVjL7nqy+9z6XZ7pzpGbms46aydHU/bu+F07Pq1ubH1mtLOxLLyXevb8j35zu4/bKv1uJ7+I2NK+4Sh1oR6+vx463Wj0ehrzNg1cuyEHD111nadx/c3RSwqikcBQadDIB6P+xKIaZ9RFJU+vWg2m7K+vu65n81Npn4CAAAAUbMtj+WRPNhtaPGN9fX7ttv68T0izAb5BLkP/PRH5QM//VHbdf7tr3+R2VARQdDJhWKxKLlcztc+k8mkrK6u+tqnbnx83Jdgzvj4uPI6Cn16EYvFZGJiwnM/o6OjPowGAAAAwDAdkaNyXE7uNgz7mU4/XldLfOgznZrN5mAGCYQcQadDYL8zf/QAkD4rKQp9ejExMSFra2u+9AXAvailZwCHnde0oKBTtJz2H/T4hinsxzbsa+G0v/aUOj1ly9p+rLRjJ08qbX39oM99x30/clldwVIDJ3r6nX68QR+PV88YH5Fn5CMi0uVYG2qqYNlSUyvbTU5OHryZT2S2oU8EnVxIp9NSKvn7welXgMTO9PS0VKvVVts0zb72qxfknpqailyfAAAAAAAgGASdXEgkEpJIJIIehmupVEpp1+t1SSaTjtvVajWlnU6nI9cnAAAAAAAIhrfHDyASpqenlXa9Xu9ru/a0tXg8rgTcotInAAAAAMBfhhXsD6KDmU6HQDKZVJ4Md/PmTZmZmXHcbmVlpfVaDwhFpU8AADAcw360u9+c9h/0+MJs2Odm2PW2nPq7ePpzrdfWjlrnR68DpBejNo6qX8fcHsugjz124rjSfvPel9X9azWfYseOKe2Lpz6rtJsPHynt9npYw6bXn+qoX6Wvr11b/dwA6I6ZTofEpUuXWq/b6ybZaV9vfn4+sn0CAAAA///27ie2kfxK8PyjlH+q2rZMqYyZllPosoNYD3owcwmqDj2DHh9Elq97IDOBMtC3JG9z0IGE9jjYXoFcQAs0sAdGYvfWXqhIDBZ9WMDFyJ1x9+zsYCXGoQc72+gGo+yGZM4MuqSwXHZWpiTGHtRkMYJkRJAMkhHk9wMQZpA//vgj+Sun+PjeCwDA4hF0WhPFYrF/Xdd13/GDYxRFGdknKS5zAgAAAABCZC/5gtigvC5GBnsXTUpVVclkMv0gTaPR8CxdGzxL37jsobjMCQDAugi71GbRp6YHpjHvfen734E98A3Y7roevek8vLtzHHbfvfOe28e8X7u7HM5tw1Ue6H497vLCScvpwvz/IPdcfobKOF3ld/at87MEMBqZTjHibqw9aRCqVqv1rx8fH48dZ1mWaJomIg9ngisUCrGfEwAAAAAALBZBp5iwLGsok+f0dLJfChRF6WcGGYYh1Wp15LiDgwMReTgT3GAmUZznBAAAAACEhPI6BETQKcIsy5J8Pi/ZbFa2t7eHMp0Mw5BEIiHZbFby+Xygxtu5XE6azaYkk0kpl8v9x1mWJbquSzqdFsMwRFVV+fzzzyWZTK7MnAAAAAAAYHHo6RRh88rgyWQycn19LdVqVU5PT+Xg4EAsy5JkMin7+/tSr9c9+yjFeU4AgD/6+MTXok8VD4yyav8f4rv++/uxd3327ieO4x99448cxxtPnky9rkVIbG563m93nSkn7h5Oswpz7wz1aHL3eHL143LfH/ZrA9YFQac1ViqVpFQqreWcAAAAAIDpJChxQ0CU1wEAAAAAACB0ZDoBAAAAAIBgotDMe9nPj8AIOgEAAIe4918B4LRqPZZmFfr7Mdj3KOFdSNL96q3jeONxtL+O2Xe3juOhPkgu7h5V3ds75+M3XziOm/eTnY17mdz9uQAEE+3/lwMAAAAAAGvjv/zHfyv/9T/+zHPM7ZubxSwGMyPoBAAAAAAAAkvY86tv6777Sm5/+6u5zY/FIugEAAAQkkWXMVE2Fdyy36tlPv+iX2vU92HY67MHSsjc5WIfP/nENbjrOPzpV3860XMtfB+5ywVd63ff3333zvP+KJXTJR49dhzb9/eO4yitdd1sPn5PHv/Otz3H3L65EZlj4AvhIegEjNHpdGRvb89zzOHhoRweHi5oRQAAAACi5OTkRE5OTjzHdDqdBa1mNfzDf/pD+Yf/9IeeY/7yf/tXZEPFBEEnYIxutyuXl5eeY25uqCUGAAAA1tXNzY3vd4aVRJIRAiLoBIyxsbEhu7u7nmO2trYWtBoAAAAAUbO1tSXPnj3zHNPpdKTb7XqOAVYVQSdgjN3dXbm4uFj2MgAAMULvnOha9nvlfv5l95hCeDbefy/wWL994Dd+0fsksbnpOLbvvAMnG0+eOI7dPZ4Wue/9nsvdw8ndryq7+cLz/kG/L3/g+Vr29vbWMxsKEJEN/yEAAAAAAAAPEvZyL8timqZks9nA46vVqmSzWdne3pZEIiGpVEry+bzouj7HVUYLQScAAAAAALC2LMuSRCLhe0mlUqIoiu98uq7L9va2lMtlERGp1+vSbrelUqmIYRiSzWYlm82KZVlzfmXLR3kdAAAAsGCU28WX+7MaLCnzK8ly35949Ng5/O42hBWGJ/HY+XVxqCTNxe66UlASG+4BYSxrJL9SxSGutWy8/77juPvmjePY/VklNhKTPR8iTdO0wGN7gaRxdF3vZ0MVCgWp1Wr9+xRFkVwuJ+l0WnRdl3Q6La1WS5LJ5FTrjgMynQAAAAAAQHD2ki8hOz4+DjQuk8l4ZjpZliX5/EMAVFEUR8BpUL3+8MOCaZr98auKTCcAAAAAALCWNE0Ty7KkVCr59mva39/3vD+fz/dL5rwyonoZT41GQ3RdF03TpFAoTLz2OCDoBAAAAAAAAltmM++wVSoVURRFKpXKTPOYpuloEP78+XPP8S9evJBGoyEiDwEqgk4AAADAilp2T6Vlnjoek3G/fx8/+ST4g119hD57d+o4nrgv0Zy5+xoN9SJz9aj67N1PnPcv8PVMuq/9Xouf7u2d8/H8dxZLjUZDTNMcWwY3icGgVSaT8e3TlMvl+tcty5JGo+G4bVXQ0wkAAAAAAKyd4+NjSSaTvllJQQw2I1dVNdBjBvtDnZ6eeoyML4JOAAAAAAAguBVoJG4YhhiGIZZlyfb2tqRSKSkWi/2St0nnGvTRRx8FetxgcGqa540Dgk4AAAAAAGCtuBt9m6YpmqZJPp+XRCIh+Xx+KJg0zmAvJxHxPMOd17igzxcn9HQCAABYEfQUmd4qv1d+r419M5vERqJ/3a9H08b77zvvd/URivp779e/6kfv/djz/ii9vkn7Tdl3t47jKL0WTM7d9HuURqMhjUZDCoWCb8+ns7Mzx7FfP6eeDz74wHF8fn4euDQvLgg6AQAAAACAwOJ+9jpFUaRWq4llWdJut0XXdTFNc+RYTdPk/PxcWq3W2Pncj50206ndbgd6XJwQdAIAAAAAAGulUCg4ji3LEk3T5Pj4WCzLctxnGIZks1lpNpsj5xoXsJqU+3lXAUEnAACAFUG5B6bBvpmjhLOFbvfNG8/7Jy11nHdppHs+dzmg2F3XoTP9JfHosfPxEXp97rV99u4nzud2lz7en3re734v+O8qfpLJpJRKJSmVStJoNOTly5eOIJCu61KtVqVUKg09dtpgkbsM7+rqaqp5ooygEwAAAAAACG7K8rrOf/qZ/Oe/+tnMT3/75mbmObzkcjnJZDJycHDgaO59fHw8MugUFjKdAAAAAAAApnB/+5Xc/vZXy15GIMlkUlqtlqTT6X7gybIs0XVdMpnM0NgwAkZBG5DHCUEnAAAAAAAwd5uP35PHv/Ptmee5fXMjYi+mm/mrV68knU73j5vN5lDQaWdnJ5Sg087OzsxzRA1BJwAAAABjzdpXJ+y+PPPuYzSp7rt3/es/+sYfOe5z9wH6+MknjmP77nam5573a3evN7G56Ti2753jh16Pq2fVpOud5+tz93D60Xs/dj63Tw8n9/1rxZ7+7HXf/f0fynd//4czL8H41/9Kbt8sJmNKVVXJZDKi67qIjG4aPm2GkjtQRaYTsEY6nY7s7e15jjk8PJTDw8MFrQgAAABAlJycnMjJyYnnmE6ns6DVYF6y2Ww/6DTK/v6+o/eTZVmBAkjuxuGpVGrqNUYVQSdgjG63K5eXl55jbm7m28AOAAAAQHTd3Nz4fmdYSQsqbYsKRVH610eVwA2W34k8ZEOpquo7b7vddhy7y/ZWAUEnYIyNjQ3Z3d31HLO1tbWg1QAAACzHrCVOYZdILbuczi3x6HH/un1757jPXW5n3zvr0dyvxV06uGzu9boNldvddV0TuI4jxP1eb/zO70z1+F/Yfy1P5X35zrPxvXg6nY50u9F9L+BvMOg0KoNpf3/fcRw06DRYXpdMJh3PsyoIOgFj7O7uysXFxbKXAQAAACCiPkz8QD6UH0jzYnwwdG9vbz2zoVbI+fl5/3o2mx26X1VVxxnszs7OJJfLTTSvO3C1Kjb8hwAAAAAAAIgk5KGR+FIvC37Ng2Vw40rgnj9/3r8+2N/Jy+C4crk85eqijaATAAAAAADAGI1GQ0RESqXS2DHFYrF/3avp+KgxiqKsZD8nEcrrAAAAAMSIuxfPpD2eZn28m31327++8eSJ8z5Xjyd3j6Ps5ouJ1uK39rBf2xDX+j97d7rY558j+92t43jS9xqrq9FoiGmakkwm5ejoaOw4VVUlk8n0g0mNRsOzxK5e/3pPrWqWkwiZTgAAAAAAYBL2ki8z0HVdtre3JZFISDab9SyFM01TXr58KSIir1+/HtlEfFCtVutfPz4+HjvOsizRNE1EHsr1CoXCBK8gXgg6AQAAAACAtVCv1/sNv3Vdl3Q67SiN6+ndt7OzI+12O9DZ6BRF6WcwGYYh1Wp15LiDgwMReThj3WDG0yqivA4AAABAbMxashV2yVfi0eOvrz996rjvp7/6Xx3H7nK6xOam59xRK6fze/7B90JE5OMnnziOP3v3kxAXNxv3Wv3W5v7sJEH+Rlzl8/l+llGPpmny6aefSiaTkZ2dHTk/PxfDMKRUKsnR0ZFvhtOgXC4nzWZT8vm8lMtlOTs7k6OjI1EURc7Pz6VcLothGKKqaqDsqbjjvxQAAAAAABBYorvcyywymYy0220pFAqiKIoj6GMYhlxdXcnR0ZFcX19LpVKZKiiUyWT6jzdNUw4ODmR7e1vy+bzs7OxIvV6XVqu18gEnETKdAAAAAADAGlEUxdF/aV5KpZLnGe/WAZlOAAAAAAAACB2ZTgAAAAAwJfvutn+9+8Z5n7vnkdtn70497/fr0RR6Dyc3V98iv9fjZt/fh7maUPn1cHL3o2ree39Wa2fGM8hhfZDpBAAAAAAAgNCR6QQAAAAAAAJLkOmEgMh0AgAAAAAAQOjIdAIAAACAKW08edK//tOv/tRzbHbzxbyXMxN3z6aN9993HHffuJpWuXo+Dfa3GnW/+/VHuU+SX88n93s19/5aa+SXf/0z+eXf/LnnmHdvbha0GsyKoBMAAAAAAAjOnl993d3tV/Luza/mNj8Wi6ATAAAAAACIhEePnsqT97/tOeYh04nGUnFA0AkAAAAAAvIqQXPfN8RdbhaxEi338/uWA9pdx+FgqaGISPf2zjn/AsvpJn1vo/ZZrLPv/uCH8t0f/NBzzPn/8d+TDRUTBJ0AAAAAAEAwdgTOXrfs50dgnL0OAAAAAAAAoSPTCRij0+nI3t6e55jDw0M5PDxc0IoAAAAARMkv7L+Wv5W/8fze0Ol0FrgiIFoIOgFjdLtduby89Bxzc8OpOgEAQLzFvZdNlNafePTYcWzf3zvv39x0Hj9+OtH8UXqtIjLUo2qIq+fTIg31p/J579z9qH703o+9n+DvX/udfSdv5Y3v94aVQ3kbAiLoBIyxsbEhu7u7nmO2trYWtBoAAAAAUfMo8Vie2u/Ld57tjB3T6XSk211eAA5YJoJOwBi7u7tycXGx7GUAAAAAiKgPE/9IPkz8I2lejD8z397e3vplQgF/j6ATAAAAsMaWXqI1o0Wv3/18Hz/5pH/9s3c/8XxsdvOF49i+u/W8v3nvDGQs+rVuPHZ+Xey+e+c53n2/u2RtkfzK6QY/N5Hhz8I9/kff+CPHcaK73vVlSz97HWKDs9cBAAAAAAAgdGQ6AQAAAACA4GxSnRAMmU4AAAAAAAAIHZlOAAAAADAl+/6+f92vJ1PcuHs0+fWUcr/+7u2d836fPkth8pvb3cPJT/ert64JnGejW+RrA+KEoBMAAAAAAAiMRuIIivI6AAAAAAAAhI6gEwAAAAAAAEJHeR0AAAAAhGDjsc/XK1cfoKhz9yVy92zyFaPXO/RaXT2aJOHM11j7nk2U1yEgMp0AAAAAAAAQOoJOAAAAAAAACB3ldQAAAAAwrYESsu7t3UQPjXqJ1sdPPnHe4CqXm7QkLUrldn5r9/tsJh2/auZ59roL88/lwvwLzzHvvrqZ3wIQKoJOAAAAAAAgEu5uv5J3X/1q2ctASAg6AQAAAACASHj0+D158t63Pcc8ZDrRzTwOCDoBAAAAAICAbJHu/AI+e9/7Q9n73h96jvkP/+cfU2IXEwSdAAAAAGBKG0+e9K//9Ks/ddzn7vszOHaU7OYLx3Hz/nTG1YVrqA+Se70x6ms0cQ8n12sFEAxBJwAAAAAAEIwty69sW/bzI7AN/yEAAAAAAADAZMh0AsbodDqyt7fnOebw8FAODw8XtCIAAABETff2LvBYd/ndsvmVmNn3947jj5984hzvKv9z32/f3XrOv0yJR48dx77ldnZ35P0nJydycnLi+b2h0+nMsFIg3gg6AWN0u125vLz0HHNzQ/M6AAAAYF3d3Nz4fmdYRQnK2xAQQSdgjI2NDdnd3fUcs7W1taDVAAAAAIiara0tefbsmeeYTqcj3W7Xcwywqgg6AWPs7u7KxcXFspcBAAAAIKKCtNvY29tby2woQISgEwAAAABMb6DXj29fIJfs5ouxcy2C3/rcPZvcJn29Ubb57W973u9+bav02qdiU1+HYDh7HQAAAAAAAEJH0AkAAAAAAACho7wOAAAAAKaV+Pp3/MTmpuOuofI5N1c5XdRLtD5+8onn/XEuObv/1a8cx+7XMiSx3vkbnL0OQa33fykAAAAAAACYC4JOMWAYhhSLRUmlUpJIJCSRSEgqlZJyuSyWZU09b7ValWw2K9vb2/058/m86Lq+8nMCAAAAAID5IugUYZZlST6fl3Q6LZqmiWma/ftM05RqtSrb29uiadpE8+q6Ltvb21Iul0VEpF6vS7vdlkqlIoZhSDablWw2O1FAKy5zAgAAAABmZC/5gthI2DbnOowiy7IknU47Ak1eCoWC1Go133G6rks2m/V8TDqdFsMwRFEUabVakkwmV2LOoPb29uTy8lKePXsmFxcXocy5Fn7zG5FvfvPh+pdfinzjG8udB+uB/QIAGCWi/z4M9Xhy9XRyW3ZPpKG+Rq4+Ru4eVvb9vXP8nF+fV9+lmeeesB+X1/OvyveL3ut48nRL/tm/+O+WupZ//+f/g7x7exP793QdkOkUUfl8XkzTFFVV+xk+7XZb6vW6lEqlofGapkmj0fCcs5c5JSKiKMrYIFW9/vB/kKZp9sfHfU4AAAAAwOwSIpKw7eVelv0mIDCCThGkaZroui6lUklarZbkcjlRFEUURZFcLieVSkXa7baoqup43MuXLz3nzefz/VK0XsnaKL3nEXnIOPIq34vLnAAAAAAAYLEor4ugVColiqJIs9n0HGeapqRSKcdtzWZTMpmM79jr62vPcrRGo9HPHkomk3J9fR3bOSe1KumvC0d5HZaB/QIAGCWi/z5QXudEeV289F7H06db8s/+8Ghuz/O3v/gLufjbf+c55u3bX4uIHfv3dB08WvYC4GQYhpimKa1Wy3esoihSqVQc2UCGYYwMOlUqlf71TCbj2/+ol0Ek8lDu1mg0HLfFaU4AAABgXgYDH+5Ah1dQRESGgjh+gYxJ1jJqPZPaePLEcfzTr/50oucfen0zCvP1/ei9HzuO3a+teX860VrWzmxb1dP97Vt5+/Zmfk+AhaK8LmJOT0+lUCgEbortDjB98cUXI8cNlp65y/LGURTFsa64zgkAAAAAiIfNR0/l6dMtz4vQ1Sk2yHSKmBcvXjiCKH7cgRl3uZ3IQ/bToI8++ijw3L2z57mblMdlTgAAAABAfPze7/2h/N7v/aHnmH//fx2TDRUTBJ0iJmh2T0+v4XbPqICVruu+Y0ZxjzMMo7++uMwJAAAAzFOofZdmLEcLuweUXzmdW+LRY8exfXfrOJ51fWG+vu67d573+/Z0Crl0MG4StIZGQOv9X8oK6GX49Izq53R2duY4Dlq698EHHziOz8/PYzcnAAAAAABYDoJOMTcYYCkUCiPHuANT02YQtdvt2M0JAAAAAACWg/K6mKvVav3rg2exG+QO5kxrsJQvLnMCAAAAAEJk//1l2WtALBB0ijHTNPvNtyuVytjMoGmDMO7ytqurq9jNCQAAAMxTdiPfv+7uOeQ+HhwrItK8P/W8f9mG1ut+Pa6+R4nNTc/xUeL32bi5+1W5ffbuJzOvCVhFBJ1irFKpiMhDeVmpVJr7880jgyjKc3Y6Hdnb25t5nsPDQzk8PAxhRQAAAAAW5Rf2X8vfyt88HNx6j/X63tDpdEJcFRAvBJ1iyjAM0TRNksmkNJtNz7HJZDKUQMxgRlFc5pxFt9uVy8vLmee5ueFUngAAAEDc3MmtvJU3gcaG8b0hVjh7HQIi6DQBTdOkWCyGOqeqqtJqtSZ+3MuXL0VE5PXr174Nt3d2dkIJ5uzs7MRuzllsbGzI7u7uzPNsbW2FsBoAAABE0WCZll85mtuk4+fNvZ6NJ08cxx8/+cT5ALvrOPzsnatc0FV+5+YuL1ymUeV2j+SxPJX3RUTkO8+c3zH+7tLZ0sN9/6BOpyPdbnfs/cAqI+gUQ8ViUQzDkHq9Lqqq+o6fNvPHHQByZyXFYc5Z7O7uysXFRShzAQAAAIiXDxM/kA/lByIi0rzw7mfVvBgfQNvb21u5TKgEiU4IiKDTBDKZjNTr4f76MGmARNM00TRNarWa5HK5QI/Z39/vNxwXeQjSBHled0PuVCoVuzkBAAAAAMByEHSagKIovqVs86TruhSLRanValIoFAI/Lp1OO45N0wyUIdVutx3HmUwmdnMCAAAAAIDlIOgUE4ZhSDablUqlMlHASeQhg2hQ0GDOYNlaMpl0BNziMicAAAAwT+4+SJ4SG85jO9p9frq3d47jxOam43ioD5JPD6c4i1r/raWjkTgC2vAfgmUzTVMODg6kVCpJqVSa+PGqqjrK1M7OzgI97vz8vH/dHRCKy5wAAAAAAGA5CDpFnGmakk6npVAoSKVSCfyYarXquO358+f964N9k7wMjiuXy0P3x2VOAAAAAACweASdIsyyLMlms/L8+fPAAScRkXw+P9TXqFgs9q/ruu47x+AYRVFG9kmKy5wAAAAAgPAkusu9ID7o6RRRlmVJOp0WRVGkXC6LaZq+jzFNs5/p4+6FpKqqZDKZfpCm0Wh4nv1u8Cx947KH4jInAAAAsAi+fX58ejgtu2+Q+/l+9N6PHcfdd+8cxx8/+cQ5QcR7VA1y959q3p86j939qlyfzbI/KyAuCDpF1MHBgZimKaZpSiqVmuixtVpt7O29uY6Pj8cGcyzLEk3TROThTHBejcvjMicAAAAAAFgsyusiKJ1OB+5nNMq44IuiKP3MIMMwhvo+9RwcHIjIw5ngBjOJ4jwnAAAAACAktj23yy8u/538xVnV8/L23a+X/Q4gIDKdIiafz88l4NSTy+Wk2WxKPp+XcrksZ2dncnR0JIqiyPn5uZTLZTEMQ1RVldevXzvOJhf3OQEAAIDQJb7+HX/Skiu/Eq5l697eOW9IOHMW7Ltbx3HUX88gdzmd21D5HeVzC3N391bevrtZ9jIQEoJOEbOIjJ1MJiPX19dSrVbl9PRUDg4OxLIsSSaTsr+/L/V63bOPUpznBAAAAABE16NHT+Xpky3PMQ+ZTvZiFoSZEHRaY6VSSUql0lrOCQAAAACY0hzjPR/u/nP5cPefe475i9b/SDZUTNDTCQAAAAAAAKEj0wkAAAAApjTYG8jdw2jSnkZR6xvk1/fIze/1zvr6Ju2ZFaZ5v7a4SdiUtiEYMp0AAAAAAAAQOoJOAAAAAAAACB3ldQAAAAAwB5OWXC2zfGzU80vClaNgd73vn7Mw34/s5gvn3K5SQvexe3xiczO0tcSOLSLLLq8L+ekNw5BarSa6rotpmiIioiiK5HI5OTo6kmQyGe4TDjBNU4rFojSbzbk9xzKR6QQAAAAAANaOZVmSz+clnU6Lpmn9gJPIQzCoWq3K9va2aJo21dyJRML3kkqlRFGUMF9WpJDpBIzR6XRkb2/Pc8zh4aEcHh4uaEUAAAAAouQX938lv+j+lef3hk6ns8AVISjLsiSdTjsCTeMUi0VptVpSq9UCzz9JoKpcLgceGzcEnYAxut2uXF5eeo65ublZ0GoAAAAARM2d3MpbeeP7vWHldP2HRF0+nxfTNEVVVTk6OhJVVUXkodTu7OxMqtWqY7ymaZLNZiWXywWa//j4ONC4TCZDphOwjjY2NmR3d9dzzNbW1oJWAwAAgKibtefQons4Tfr8fn2QPn7yiePYvrt1Pn7JPascXP2p/NY21OPp78dv2hvyVN4fmv47z3b61zudjnS7KxClWSGapomu61IqlaRSqTju6/VyKhaLks/nxTCM/n0vX74MFHTSNE0sy5JSqSTZbNZz7P7+/nQvIiYIOgFj7O7uysXFxbKXAQAAACCiPkz8QD6UHwzd3rz4Omi1t7e3fplQEVepVCSTyQwFnAYpiiL1el1SqVT/NsuyRNd1yWQyvvMriuI5/7qgkTgAAAAAAAjIloS93Mssp68zDENM05R63T/TblTgaDDzaZRGoyGmaa50n6ZJEHQCAAAAAABr4fT0VAqFgiSTyUDj3VlNX3zxhef44+NjSSaT8vz582mXuFIorwMAAACABfDriRQ17vX6se/vHcfL7lHlxb02d08nv88qyq8N3l68eDFR4+5eg/GewXI7N8Mw+plQ29vboiiKZDKZiRqQrxoynQAAAAAAQHC2vdzLDFRVDZzlJPLQx2mQV8DKXVJnmqZomib5fF4SicRQY/J1QNAJAAAAAABgBNM0Hcfjmoibpim6rnvO1Wg0JJ1OS7FYDG19UUd5HQAAAAAsQNTL6dzc6/Utt7O7zvGukrWh+ZdYojb0WhKufAzXa/F7fNw+25nNmG0UJ+fn5/3rhUJh7DhFUaRWq4llWdJut0XX9aGAVY+maXJ+fi6tViv09UYNQScAAAAAAIARarVa/7rfGencQSnLskTTNDk+Ph4q0zMMQ7LZrDSbzdDWGkUEnQAAAAAAwNz9/L/83/KL//ofZp7n7e2XIazGn2ma/R5MlUplogbkIiLJZFJKpZKUSiVpNBry8uVLR/BJ13WpVqtSKpXCXHak0NMJAAAAAAAE153ucnf3Vt7e/nrmi8hiyvsqlYqIPJTOzRoYyuVy8vnnnw+dDe/4+HimeaOOTCcAAAAAWEHunkqz9lAa6vHk07Np6PFL7OHk5teDyf3ahl6ruwcUAnm0+VSePv7WzPM8ZDrNN/BkGIZomibJZDK0ErhkMimtVkvS6XQ/g8qyLNF1fWyD8rgj6AQAAAAAAObue//gD+R7/+APZp7nZ//v//T3GU/z8/LlSxERef369cRldX5evXol6XS6f9xsNlc26ER4FgAAAAAABJaw7aVe5q1YLIphGFKv14fK4cKgqqojyDTuLHergEwnAAAAAFhBs5azTVo+t1Lc5XN213HoV56H+NI0TTRNk1qtJrlcbm7Pk81mRdf1uc0fFWQ6AQAAAACAtafruhSLRanValIoFOb6XIMlezs7O3N9rmUi0wkAAAAAAAS3gBK3RTMMQ7LZrFQqlbkHnEScQadkMjn351sWMp0AAAAAAMDaMk1TDg4OpFQqSalUWshznp+f969ns9mFPOcykOkEAAAAAPA1a4+oOHH3bFrr/lYrzjRNSafTUigUpFKpBH5Mo9GYKUDVbrf711f1zHUiZDoBAAAAAICgbHkor1vqJZyXYlmWZLNZef78eeCAk4hIPp+fOVDUaDRERBaWWbUsZDoBY3Q6Hdnb2/Mcc3h4KIeHhwtaEQAAAIAoOTk5kZOTE88xnU5nQavBJCzLknQ6LYqiSLlcFtM0fR9jmqaUy2UREVFVdernbjQaYpqmJJNJOTo6mnqeOCDoBIzR7Xbl8vLSc8zNzc2CVgMAAAAsV3bzhfMGu+s5PsrleO5yuWnXenNz4/udYSWtQCPxg4MDMU1TTNOUVCo10WNrtZrjWNd1yefzYlmWZDIZqVQqY4NSpmnKy5cvRUTk9evXK91EXISgEzDWxsaG7O7ueo7Z2tpa0GoAAAAARM3W1pY8e/bMc0yn05Fu1ztAh8VKp9NiGMbUj3ef3a5er4tlWSLyEIDq9YgaF5za2dmRVqvlOIPdqiLoBIyxu7srFxcXy14GAAAAgIgK0m5jb29vPbOhIiqfz4cacOrNqWma4zZN0+TTTz+VTCYjOzs7cn5+LoZhSKlUkqOjo5XPcOoh6AQAAAAAAIKLceJWvR5+2Wcmk5F2uy2VSkV0XZerq6t+5pNhGKKqqhwdHUkmk1mbYFMPQScAAAAAwJDEo8eOY/vudqLHu3tANe9PZ17TvLh7PEnC+0TvQ+NdotzPCvOhKMpQOR1EvP9LAgAAAAAAAKZAphMAAAAAAAgssQJnr8NikOkEAAAAAACA0JHpBAAAAABryN2XyN2H6LN3P5lpPrHj023a/drd/ajcPZ7c/an8ejwB64qgEwAAAAAACG6O5XWfX/0/8vOrM88xb+++nNvzI1wEnQAAAAAAQCTc3b+Vt3e/XvYyEBKCTgAAAACwhtwlZTNzlaAlNjfDnX8CfqWD7rUOldO5+ZQKhv5errFHm0/l6aNveY55yHSimXkcEHQCAAAAAAAB2SLd+QV8vp/8SL6f/MhzzL8x/2dK7GKCs9cBAAAAAAAgdGQ6AQAAAACA4ObYSByrhaATAAAAAGCIX18k9/3uPkn23e1c1hWG5v2p43jotbjH+7x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+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib\n",
+    "\n",
+    "nbins = 200\n",
+    "vmax = 400\n",
+    "\n",
+    "a1 = plt.hist2d(\n",
+    "    brem_z_lost,\n",
+    "    brem_x_lost,\n",
+    "    density=False,\n",
+    "    bins=nbins,\n",
+    "    cmin=1,\n",
+    "    vmax=vmax * stretch_factor,\n",
+    "    # norm=matplotlib.colors.Normalize(vmin=1, vmax=vmax * stretch_factor),\n",
+    "    range=[[-200, 9500], [-3200, 3200]],\n",
+    ")\n",
+    "plt.vlines([770, 990, 2700, 7500], -3200, 3200, colors=\"red\", lw=1.5)\n",
+    "plt.ylim(-3200, 3200)\n",
+    "plt.xlim(-200, 9500)\n",
+    "plt.xlabel(\"z [mm]\")\n",
+    "plt.ylabel(\"x [mm]\")\n",
+    "\n",
+    "plt.colorbar(a1[3])\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
+    "plt.show()\n",
+    "# plt.savefig(\n",
+    "#     \"/work/cetin/Projektpraktikum/thesis/brem_vtx_hist2d_lost.pdf\",\n",
+    "#     format=\"PDF\",\n",
+    "# )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "nbins = 200\n",
+    "vmax = 400\n",
+    "\n",
+    "a1 = plt.hist2d(\n",
+    "    brem_z,\n",
+    "    brem_x,\n",
+    "    density=False,\n",
+    "    bins=nbins,\n",
+    "    cmin=1,\n",
+    "    vmax=vmax,\n",
+    "    range=[[-200, 9500], [-3200, 3200]],\n",
+    ")\n",
+    "plt.vlines([770, 990, 2700, 7500], -3200, 3200, colors=\"red\", lw=1.5)\n",
+    "plt.ylim(-3200, 3200)\n",
+    "plt.xlim(-200, 9500)\n",
+    "plt.xlabel(\"z [mm]\")\n",
+    "plt.ylabel(\"x [mm]\")\n",
+    "# plt.title(r\"$e^\\pm$ lost brem vertices\")\n",
+    "# ax1.set(xlim=(0,4000), ylim=(-1000,1000))\n",
+    "\n",
+    "# plt.suptitle(\"brem vtx of photons w/ $E>0.1E_0$\")\n",
+    "plt.colorbar(a1[3])\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
+    "# plt.show()\n",
+    "plt.savefig(\n",
+    "    \"/work/cetin/Projektpraktikum/thesis/brem_vtx_hist2d.pdf\",\n",
+    "    format=\"PDF\",\n",
+    ")"
    ]
   },
   {
@@ -733,9 +877,8 @@
     "        if ntuple[jelec, \"brem_vtx_z\", jphoton] <= 770:\n",
     "            tmp_velo += ntuple[jelec, \"brem_photons_pe\", jphoton]\n",
     "            tmp_velo_length += 1\n",
-    "        elif (ntuple[jelec, \"brem_vtx_z\", jphoton] > 770) and (\n",
-    "            ntuple[jelec, \"brem_vtx_z\", jphoton] <= 2700\n",
-    "        ):\n",
+    "        elif (ntuple[jelec, \"brem_vtx_z\", jphoton]\n",
+    "              > 770) and (ntuple[jelec, \"brem_vtx_z\", jphoton] <= 2700):\n",
     "            tmp_richut += ntuple[jelec, \"brem_photons_pe\", jphoton]\n",
     "            tmp_richut_length += 1\n",
     "        else:\n",
@@ -751,16 +894,14 @@
     "    energy_emissions.field(\"neither_length\").integer(tmp_neither_length)\n",
     "    energy_emissions.field(\"downstream\").real(tmp_neither)\n",
     "\n",
-    "    energy_emissions.field(\"photon_length\").integer(\n",
-    "        tmp_neither_length + tmp_richut_length + tmp_velo_length\n",
-    "    )\n",
+    "    energy_emissions.field(\"photon_length\").integer(tmp_neither_length +\n",
+    "                                                    tmp_richut_length +\n",
+    "                                                    tmp_velo_length)\n",
     "\n",
     "    # if (tmp_velo == 0) and (tmp_richut == 0):\n",
-    "    if (\n",
-    "        False  # (tmp_velo >= 0.5 * ntuple[jelec, \"energy\"])\n",
-    "        or ((tmp_velo == 0) and (tmp_richut == 0))\n",
-    "        or (ntuple[jelec, \"energy\"] - tmp_velo < 3000)\n",
-    "    ):\n",
+    "    if (False  # (tmp_velo >= 0.5 * ntuple[jelec, \"energy\"])\n",
+    "            or ((tmp_velo == 0) and (tmp_richut == 0)) or\n",
+    "        (ntuple[jelec, \"energy\"] - tmp_velo < 3000)):\n",
     "        energy_emissions.field(\"quality\").integer(0)\n",
     "    else:\n",
     "        energy_emissions.field(\"quality\").integer(1)\n",
@@ -963,28 +1104,24 @@
     "# energyspektren angucken von velo und rich\n",
     "\n",
     "velo_found = ak.to_numpy(\n",
-    "    energy_emissions[(~energy_emissions.lost) & (energy_emissions.quality == 1)][\"velo\"]\n",
-    ")\n",
+    "    energy_emissions[(~energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"velo\"])\n",
     "rich_found = ak.to_numpy(\n",
-    "    energy_emissions[(~energy_emissions.lost) & (energy_emissions.quality == 1)][\"rich\"]\n",
-    ")\n",
+    "    energy_emissions[(~energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"rich\"])\n",
     "energy_found = ak.to_numpy(\n",
-    "    energy_emissions[(~energy_emissions.lost) & (energy_emissions.quality == 1)][\n",
-    "        \"energy\"\n",
-    "    ]\n",
-    ")\n",
+    "    energy_emissions[(~energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"energy\"])\n",
     "\n",
     "velo_lost = ak.to_numpy(\n",
-    "    energy_emissions[(energy_emissions.lost) & (energy_emissions.quality == 1)][\"velo\"]\n",
-    ")\n",
+    "    energy_emissions[(energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"velo\"])\n",
     "rich_lost = ak.to_numpy(\n",
-    "    energy_emissions[(energy_emissions.lost) & (energy_emissions.quality == 1)][\"rich\"]\n",
-    ")\n",
+    "    energy_emissions[(energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"rich\"])\n",
     "energy_lost = ak.to_numpy(\n",
-    "    energy_emissions[(energy_emissions.lost) & (energy_emissions.quality == 1)][\n",
-    "        \"energy\"\n",
-    "    ]\n",
-    ")\n",
+    "    energy_emissions[(energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"energy\"])\n",
     "\n",
     "diff_found = velo_found - rich_found  # / energy_found\n",
     "diff_lost = velo_lost - rich_lost  # / energy_lost\n",
diff --git a/notebooks/trackinglosses_photons.ipynb b/notebooks/trackinglosses_photons.ipynb
index b7b4025..1ff16c3 100644
--- a/notebooks/trackinglosses_photons.ipynb
+++ b/notebooks/trackinglosses_photons.ipynb
@@ -136,14 +136,11 @@
     "for jelec in range(ak.num(allcolumns[jcut], axis=0)):\n",
     "    energy_emissions.begin_record()\n",
     "    energy_emissions.field(\"lost\").boolean(\n",
-    "        allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"lost\"]\n",
-    "    )\n",
+    "        allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"lost\"])\n",
     "    energy_emissions.field(\"rad_length_frac\").real(\n",
-    "        allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"rad_length_frac\"]\n",
-    "    )\n",
+    "        allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"rad_length_frac\"])\n",
     "    energy_emissions.field(\"energy\").real(\n",
-    "        allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"energy\"]\n",
-    "    )\n",
+    "        allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"energy\"])\n",
     "\n",
     "    tmp_velo = 0\n",
     "    tmp_richut = 0\n",
@@ -153,34 +150,26 @@
     "    tmp_neither_length = 0\n",
     "\n",
     "    for jphoton in range(\n",
-    "        ak.num(\n",
-    "            allcolumns[jcut][jelec][Cuts[str(jcut)] + \"Cut_\" + \"brem_photons_pe\"],\n",
-    "            axis=0,\n",
-    "        )\n",
-    "    ):\n",
-    "        if (\n",
-    "            allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_vtx_z\", jphoton]\n",
-    "            <= 770\n",
-    "        ):\n",
-    "            tmp_velo += allcolumns[jcut][\n",
-    "                jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_photons_pe\", jphoton\n",
-    "            ]\n",
+    "            ak.num(\n",
+    "                allcolumns[jcut][jelec][Cuts[str(jcut)] + \"Cut_\" +\n",
+    "                                        \"brem_photons_pe\"],\n",
+    "                axis=0,\n",
+    "            )):\n",
+    "        if (allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_vtx_z\",\n",
+    "                             jphoton] <= 770):\n",
+    "            tmp_velo += allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" +\n",
+    "                                         \"brem_photons_pe\", jphoton]\n",
     "            tmp_velo_length += 1\n",
-    "        elif (\n",
-    "            allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_vtx_z\", jphoton]\n",
-    "            > 770\n",
-    "        ) and (\n",
-    "            allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_vtx_z\", jphoton]\n",
-    "            <= 2700\n",
-    "        ):\n",
-    "            tmp_richut += allcolumns[jcut][\n",
-    "                jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_photons_pe\", jphoton\n",
-    "            ]\n",
+    "        elif (allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_vtx_z\",\n",
+    "                               jphoton]\n",
+    "              > 770) and (allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" +\n",
+    "                                           \"brem_vtx_z\", jphoton] <= 2700):\n",
+    "            tmp_richut += allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" +\n",
+    "                                           \"brem_photons_pe\", jphoton]\n",
     "            tmp_richut_length += 1\n",
     "        else:\n",
-    "            tmp_neither += allcolumns[jcut][\n",
-    "                jelec, Cuts[str(jcut)] + \"Cut_\" + \"brem_photons_pe\", jphoton\n",
-    "            ]\n",
+    "            tmp_neither += allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" +\n",
+    "                                            \"brem_photons_pe\", jphoton]\n",
     "            tmp_neither_length += 1\n",
     "\n",
     "    energy_emissions.field(\"velo_length\").integer(tmp_velo_length)\n",
@@ -192,16 +181,12 @@
     "    energy_emissions.field(\"neither_length\").integer(tmp_neither_length)\n",
     "    energy_emissions.field(\"downstream\").real(tmp_neither)\n",
     "\n",
-    "    energy_emissions.field(\"photon_length\").integer(tmp_richut_length + tmp_velo_length)\n",
+    "    energy_emissions.field(\"photon_length\").integer(tmp_richut_length +\n",
+    "                                                    tmp_velo_length)\n",
     "\n",
-    "    if (\n",
-    "        (tmp_velo == 0)\n",
-    "        and (tmp_richut == 0)\n",
-    "        or (\n",
-    "            allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"energy\"] - tmp_velo\n",
-    "            < 3000\n",
-    "        )\n",
-    "    ):\n",
+    "    if ((tmp_velo == 0) and (tmp_richut == 0)\n",
+    "            or (allcolumns[jcut][jelec, Cuts[str(jcut)] + \"Cut_\" + \"energy\"] -\n",
+    "                tmp_velo < 3000)):\n",
     "        energy_emissions.field(\"quality\").integer(0)\n",
     "    else:\n",
     "        energy_emissions.field(\"quality\").integer(1)\n",
@@ -219,7 +204,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x900 with 1 Axes>"
       ]
@@ -230,28 +215,24 @@
    ],
    "source": [
     "velo_found = ak.to_numpy(\n",
-    "    energy_emissions[(~energy_emissions.lost) & (energy_emissions.quality == 1)][\"velo\"]\n",
-    ")\n",
+    "    energy_emissions[(~energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"velo\"])\n",
     "rich_found = ak.to_numpy(\n",
-    "    energy_emissions[(~energy_emissions.lost) & (energy_emissions.quality == 1)][\"rich\"]\n",
-    ")\n",
+    "    energy_emissions[(~energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"rich\"])\n",
     "energy_found = ak.to_numpy(\n",
-    "    energy_emissions[(~energy_emissions.lost) & (energy_emissions.quality == 1)][\n",
-    "        \"energy\"\n",
-    "    ]\n",
-    ")\n",
+    "    energy_emissions[(~energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"energy\"])\n",
     "\n",
     "velo_lost = ak.to_numpy(\n",
-    "    energy_emissions[(energy_emissions.lost) & (energy_emissions.quality == 1)][\"velo\"]\n",
-    ")\n",
+    "    energy_emissions[(energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"velo\"])\n",
     "rich_lost = ak.to_numpy(\n",
-    "    energy_emissions[(energy_emissions.lost) & (energy_emissions.quality == 1)][\"rich\"]\n",
-    ")\n",
+    "    energy_emissions[(energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"rich\"])\n",
     "energy_lost = ak.to_numpy(\n",
-    "    energy_emissions[(energy_emissions.lost) & (energy_emissions.quality == 1)][\n",
-    "        \"energy\"\n",
-    "    ]\n",
-    ")\n",
+    "    energy_emissions[(energy_emissions.lost)\n",
+    "                     & (energy_emissions.quality == 1)][\"energy\"])\n",
     "\n",
     "diff_found = velo_found - rich_found\n",
     "diff_lost = velo_lost - rich_lost\n",
@@ -283,12 +264,13 @@
     "# plt.yscale(\"log\")\n",
     "# plt.title(\"emitted energy difference\")\n",
     "plt.xlabel(r\"$\\Delta E_{VELO} - \\Delta E_{RICH1+UT}$ [MeV]\")\n",
-    "plt.ylabel(\"a.u.\")\n",
-    "plt.legend(title=\"LHCb Simulation\")\n",
+    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
+    "plt.legend(loc=\"best\")\n",
+    "mplhep.lhcb.text(\"Simulation\")\n",
     "# plt.show()\n",
     "plt.savefig(\n",
-    "    \"/work/cetin/Projektpraktikum/thesis/emitted_energy_difference.pdf\", format=\"PDF\"\n",
-    ")"
+    "    \"/work/cetin/Projektpraktikum/thesis/emitted_energy_difference.pdf\",\n",
+    "    format=\"PDF\")"
    ]
   },
   {
diff --git a/notebooks/trackinglosses_rad_length_endVelo2endUT.ipynb b/notebooks/trackinglosses_rad_length_endVelo2endUT.ipynb
index 5177bcf..8c84b78 100644
--- a/notebooks/trackinglosses_rad_length_endVelo2endUT.ipynb
+++ b/notebooks/trackinglosses_rad_length_endVelo2endUT.ipynb
@@ -49,32 +49,30 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "41978 8523\n",
-      "49865\n"
+      "40402 10099\n",
+      "48290\n"
      ]
     }
    ],
    "source": [
     "file = uproot.open(\n",
-    "    \"/work/cetin/Projektpraktikum/tracking_losses_ntuple_B_EndVeloP.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
+    "    \"/work/cetin/Projektpraktikum/tracking_losses_ntuple_B_zmag.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
+    "    # \"/work/cetin/LHCb/lb-stack/data/tracking_losses_ntuple_test_endVelo2endT.root:PrDebugTrackingLosses.PrDebugTrackingTool/Tuple;1\"\n",
     ")\n",
     "\n",
     "# selektiere nur elektronen von B->K*ee\n",
     "allcolumns = file.arrays()\n",
-    "found = allcolumns[\n",
-    "    (allcolumns.isElectron) & (~allcolumns.lost) & (allcolumns.fromB)\n",
-    "]  # B: 9056\n",
-    "lost = allcolumns[\n",
-    "    (allcolumns.isElectron) & (allcolumns.lost) & (allcolumns.fromB)\n",
-    "]  # B: 1466\n",
+    "found = allcolumns[(allcolumns.isElectron) & (~allcolumns.lost) &\n",
+    "                   (allcolumns.fromB)]  # B: 9056\n",
+    "lost = allcolumns[(allcolumns.isElectron) & (allcolumns.lost) &\n",
+    "                  (allcolumns.fromB)]  # B: 1466\n",
     "\n",
-    "electrons = allcolumns[\n",
-    "    (allcolumns.isElectron)\n",
-    "    & (allcolumns.fromB)\n",
-    "    & (allcolumns.eta <= 5.0)\n",
-    "    & (allcolumns.eta >= 1.5)\n",
-    "    & (np.abs(allcolumns.phi) < 3.142)\n",
-    "]\n",
+    "electrons = allcolumns[(allcolumns.isElectron)\n",
+    "                       & (allcolumns.fromB)\n",
+    "                       & (allcolumns.eta < 5.0)\n",
+    "                       & (allcolumns.eta > 2.0)\n",
+    "                       # & (np.abs(allcolumns.phi) < 3.142)\n",
+    "                       ]\n",
     "\n",
     "print(ak.num(found, axis=0), ak.num(lost, axis=0))\n",
     "print(ak.num(electrons, axis=0))\n",
@@ -90,25 +88,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "stretch factor:  0.1943140448361755\n"
+      "stretch factor:  0.24996287312509283\n"
      ]
     }
    ],
    "source": [
-    "rad_length_found = ak.to_numpy(\n",
-    "    found[(found.eta <= 5.0) & (found.eta >= 1.5) &\n",
-    "          (np.abs(found.phi) < 3.142)][\"rad_length_frac\"])\n",
-    "eta_found = ak.to_numpy(found[(found.eta <= 5.0) & (found.eta >= 1.5) &\n",
-    "                              (np.abs(found.phi) < 3.142)][\"eta\"])\n",
-    "phi_found = ak.to_numpy(found[(found.eta <= 5.0) & (found.eta >= 1.5) &\n",
-    "                              (np.abs(found.phi) < 3.142)][\"phi\"])\n",
-    "rad_length_lost = ak.to_numpy(\n",
-    "    lost[(lost.eta <= 5.0) & (lost.eta >= 1.5) &\n",
-    "         (np.abs(lost.phi) < 3.142)][\"rad_length_frac\"])\n",
-    "eta_lost = ak.to_numpy(lost[(lost.eta <= 5.0) & (lost.eta >= 1.5) &\n",
-    "                            (np.abs(lost.phi) < 3.142)][\"eta\"])\n",
-    "phi_lost = ak.to_numpy(lost[(lost.eta <= 5.0) & (lost.eta >= 1.5) &\n",
-    "                            (np.abs(lost.phi) < 3.142)][\"phi\"])\n",
+    "rad_length_found = ak.to_numpy(found[\"rad_length_frac\"])\n",
+    "eta_found = ak.to_numpy(found[\"eta\"])\n",
+    "phi_found = ak.to_numpy(found[\"phi\"])\n",
+    "rad_length_lost = ak.to_numpy(lost[\"rad_length_frac\"])\n",
+    "eta_lost = ak.to_numpy(lost[\"eta\"])\n",
+    "phi_lost = ak.to_numpy(lost[\"phi\"])\n",
     "\n",
     "eta_a = ak.to_numpy(electrons[\"eta\"])\n",
     "phi_a = ak.to_numpy(electrons[\"phi\"])\n",
@@ -125,7 +115,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x900 with 1 Axes>"
       ]
@@ -150,29 +140,32 @@
     "    bins=100,\n",
     "    density=True,\n",
     "    alpha=0.5,\n",
-    "    color=\"#2A9D8F\",\n",
+    "    color=\"#107E7D\",\n",
     "    histtype=\"bar\",\n",
     "    label=\"found\",\n",
     "    range=[0, 1],\n",
     ")\n",
-    "plt.xlim(0, 1)\n",
+    "plt.xlim(-0.05, 1)\n",
     "# plt.yscale(\"log\")\n",
-    "plt.title(\"radiation length fraction endVelo2endUT\")\n",
+    "# plt.title(\"radiation length fraction endVelo2endUT\")\n",
     "plt.xlabel(f\"$x/X_0$\")\n",
-    "plt.ylabel(\"a.u.\")\n",
-    "\n",
-    "plt.legend()\n",
-    "plt.show()"
+    "plt.ylabel(\"Number of Tracks (normalised)\")\n",
+    "plt.legend(loc=\"best\")\n",
+    "mplhep.lhcb.text(\"Simulation\", loc=0)\n",
+    "plt.show()\n",
+    "# plt.savefig(\n",
+    "#     \"/work/cetin/Projektpraktikum/thesis/rad_length_frac_lost_found_endVelo2endUT.pdf\",\n",
+    "#     format=\"PDF\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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JZPqu4gSAUaXT6b4T+d5EX6X3OPTkk0/2xY4/Gk6V0AZ5JffxLwUKhUJgdfd+UaK78t627b5H4gV5lX7v9tRtF92XE5Ncx170JpTtdltyuZyreZLJ5FifVtB55FwqlZJsNju2euaVH339eF/JZDLa6TvnicePlQCA8SJPB6aL33mpbsA6m81KPp/v/j7uC6/JCcOLvHA+kRcCCCPbtqVQKEgqlZJYLNaXa7i56E9lGvMXBrdHZNu2WJZl/InFYr6e0NTrdVlaWuqeBFarVWm1WlIsFqXZbEoqlZJUKjUVV0ACCAdTsv700093/99ut7V/3JrNZjfhLhaLJ65wPX718KA/vu12+0SiO84vFNLpdF+7KpWK8qSg2Wz2JTejvivM7bvVetd5PB4f6dFix/8+DPv3YtAXQabtNcl17EU2m+37212pVCSTyQxMbOv1uiQSCWk2myO9h8uNTCYjzWZz5Kvwj5+XHF+u3j4xTH8J8okLbuqbRF9PJpN9dwY1m005e/bswLIqlYokEgnJ5XLcWQEAPiFPB2aXn3mpiP7u796LX44PIg9zLu0GOeFJYcgJRcgLyQuPkBcCmLRSqSRLS0tSqVQklUpJuVyWRqMhhUKhe/FVLBYbakB6qvMXByMpFouOiLj6abVavtS5tbXVLTObzQ6cJh6POyLiRKNRZ39/35d6AcyWVqvVd4yqVqvGeXqPeZFIZODxZX9/v3sMUh2jHMdxkslkX/3ZbNbZ2tpyqtWqk81mHRFxtra2nEgk0p1ma2trYFlul6N3umKxaFwnnXZ1jt+tVsspFotOJBLpa1dnunw+b1iDJ+3v7/eVoztmp9NpbftHqVe1bjt6//b0tmFra8spFotONBp10um0E41Gu/F0Ou1sbW05+Xy+u1yTWMdulke13gctd+fvazKZdJLJZLedur+5fvXR49stHo876XS6u26KxaJTLpedcrnsbG1tGc8BestKJpPO/v6+02q1nGw221f/8fWgO6fp7QO6Y4BXwx67JtXX9/f3T/Th3v5zfH4AgH/I04Hp4/b83HH8y0t18/fWk0wmlfO7OZc2ISecTE44aJnIC8kLO8gLAYRJ5+9/PB5XTtP5Pl1EnEajYSxz2vMXBrdHpPrjdPxHdSI8rN4/iNFoVDld7x94v+oGMFvy+byn41S1Wu0ehyKRiFMul51Wq+W0Wi2nXC53T8xNibbuBD8SiXQTjd5p4vG402q1+v6YHk84VH+Mj0+nWt5Wq9WXXAxqW6PR6JsmGo06+Xze05ej5XK5rxyd3nXh5iRF5/iXvm6SqN4vUgYleY7TfyKlKjvodexmWcrlsnLaRqNh/Hvf+QJgEL/7qNtzj95yVOvt+HFA1cbj21X1hVKj0TiRrPtt2GNXmPu6m2MlAGB45OnA9Bnm/Nxx/MlLe/OP4wNj1Wq1m4OqzvPdnkubkBNOJicctDzkheSFvcgLAYRB7/HLNMDcOdZEIhHtdLOQvzC4PYLOyWc+n3e2tra0P35d1dB7p6PpRL/3D7BpWgDzodVqnbiy9HgCmUwmXV0JXS6X+65OjkQiTjwed4rFoutj3v7+vpPNZrvticfjJ+rufHY8CWs0Gifu/u5NnDpJWKvV0k6nSiCKxaITj8f7/tBns9nusiWTSSebzY78hYLbq5l7k0PTCYpOPp/XXlTQudJYpXOFcu+XC73be39/v7u+O/1BV9Yo63iYRL5zAphOp5XLH4/Htdsgn893r1jsTJ9Op5XtG1cf1U2v+tHdkZLP5/v2wd4v9nq/GBy0vjpt0y1rJBI5sV6H3XZejl1h6uvlcrmvr3f6mp9fzAEAjpCnA9Nj1PNzxxktL02n0yfOd6PRaPfc0s0+qjuXdouccLS8m7yQvJC8EMAs6z3emvRe+KM7J5mF/MVyHMcReBKLxUQkuHe+tNvtbp0iIvv7+9p369RqNclkMiIiEolEZH9/f9xNBACMSalU6r7/JJ1OS7VanXCLMCm2bcv6+roUi0WJRqNi27a0223Z29vrvgPnW9/6lti2LXt7e1Kv18W2bcnn82N/7xsAAJNGng5gVpETohd5IQDMvnq9LqlUSkTc/e3vzTVUx/tZyV/umnQDplWtVpN2uy3lcjmwOns7YjKZ1HY4kaPO3mHbttRqtb7PAADT48qVK93/nz9/foItwSQ1m01ZX1+XJ598UpLJZPfzeDyunS+Xy0m9Xh938wAAmCjydACzjJwQHeSFADAf2u129//NZnOoee+9996Bn89K/rIw6QZMq8uXL0skEpHHHnsssDorlUr3/6aTlY5oNNr9f+9JMABguvSewPQmr5gf7XZb1tfXu1fbDyOTycjy8vKYWgYAQDiQpwOYZeSEECEvBIB50nvMbrfbfYPdg7z44ovd//fmHL1mJX9hcNuDZrMpzWZTbNuWpaUlicViksvlpFarjbXOXg8++KCr+Xo75zjbBwAYn94rq6PRqPGKOsymQqEgtm172v7VarX7CCEAAGYReTqAWUZOiA7yQgCYH8cHqHO5nHb6Tm4RiUQG3l09S/kLg9sedN5v09Fut6VSqUgmkxHLsiSTyQz9iACT44+MUV11cdzx6fxuFwBg/LhCHyJ3zgVs2+67ytIkl8vJ9va2ZLPZcTUNAICJI08HMMvICdFBXggA8yMej/cNLNfrdeVFSpVKpXtn96B3bXfm7zXN+QuD20Nqt9vGd5PUajVJJBLGqyiG0fs4ARFxfXXe8efqb29v+9UkAEBAtra2uv9PJBITbAkmqfdLrFwuJ6lUqnviatu2iBx9wdE5V8nlcrK0tCTtdlsajcaEWg0AwPiRpwOYdeSE6CAvBID58vTTT/f9XqvVTgxwd473IiLlcll5IdMs5S93TboB0yYajUq5XBbbtqXVakm9Xlc+575Sqcj29rYvJw7H6/B6RUWr1Rq5LQCAYPWeMPB+rPnVeYRc5/E/9Xpd+0V+JBKRp59+euBjiAAAmCXk6QBmHTkhOsgLAWC+xOPxE6+VqNVqEovFpFqtSr1el0Kh0M2JdE94maX8hcFtD45f9dB5DMzly5e7V8h1NJtNSaVSfVdYemF6Ubxbx9sHAAg327b7jt28W22+dU5ay+XywHfcRCIRSSaTcv78eb68AADMFfJ0ALOKnBDHkRcCwHxJp9NSLpf7nkLVbre7T3PJ5/PKR5H3mqX8xXIcx5l0I2ZJrVaTCxcunNi4xWJR8vm853Ity+r73e1mq9frkkqlur+n02mpVque2/GWt7xFbt++LY7jyMLC6E+1P336tNxzzz0jlwMAwDw6PDyUw8NDERFZWFjw5W8zAMyrV199VW7dujVyOYeHh2JZltx9993y7W9/24eWYVTk6cMhTweA6UJeCMCrecuBzp07J6+88oqraf1aNyJH59dve9vbRn6cd6VSGfiapXg8Ls8995zxAriw5C9+YHB7DGzblvX19b6XqkciEdnf3/dcpl+dLplMjnR1+sLCguu6AQAAAGBeWZbV/aIZk0eeDgAAAIxX2HOgtbU12dnZmUjdq6urcuPGjZHLyeVyUqlUTnweiUTkueeek3g8rpw3LPmLH0L/WPJ/9+/+nVy4cKGbgEYiETl37pykUilJp9Py1re+dbINHCASiUij0ZBEItFtt23bUq/Xtc+7N5Xpx63+oz66qLezB3FF+O7urhweHsrCwoKsrKyMXJ/JtNa3s/MdF1O9UUR2ReRQRBZE5Hh9B57rv+PUgM9uiogjIpasrn6vsYSdHVM7TP3uQEQcH9apqR2dZb2zfCJnjk2j/+Owuqq/G2JwG17tqe8eWV1dNLRzNJ0+2qlPxa92BL0PTqJO6qO+MNc3iTqpj/rCXif1zU99ft61IOL+i4JpNW25Onm6e2G6c/tOTtSfB4n4l4N0/Jmov4j93td2lbFX3/wWZezmK5HBgTce+/12b66uLs93pzTr8PW/1Myoiw3S2X4LInLfgLjmO41Tbxr8+evevsPQ9ZudneGXuVPeJM6JgjQry6f+rqe3j558p/nqqqIfTolZ2X46s76MLN/0C+syzmsOpP+m+8h3RHuG4pqfa6QzsJ3NZqVer/c9Zty2bUkkErK1taXMb8KSv/gh1IPbN2/elHg8LpZldXeK/f19qdfr3Zek975DJJlMyuLieAd6hvH00093n3kvItpOZbK8vOxLp1tePnmCNoyFhYXuQfj1118fuT0mnStpVlZWfLmqZVbrs6yvuJjoIRFnTUR2RGRFxDpWn3PJc/13rA747BdExBaRM66W0bJM7ThtiP+iiNz0YZ2a2tFZ1jvLJ/KpY9Pok+0bNzY8tOEzInJLjv78PiE3blw0tHM0d65mO6pPxa92BL0PTqJO6qO+MNc3iTqpj/rCXif1Ud+wTp061c2ZZtU05+rk6dPlTk7UnweJ+JeDdES+o35E5Y2r6i+hP/vTP6WMfTxaHhxIHPv9d9dEbu+I3L0icvuCrpn++huadXi9rpnx2pAVdbbffSLyp8OV9zcU++d1b99h6PqNZQ2/zJ3yJvH3Jkizsnzq73o6fXRZRP7VieiNG97+ToTFrGw/nVlfRpZv+s36Mk5bDqT/pttfnb8wo0qlUlKv1/verz3oLu5UKqXMccKSv/gh1D3t6tWr3f8fv11e5OgqkP39fanVapLJZGRpaUn+5t/8m/Lkk0/KF77whSCbOlA8Hu/rQKO8rN3rlRDHO2oYrqgAAAAAAEyvac7VydMBAACA+WbJ0Z2/QfyczJaGl0gkuk+c6gxsi4iUy+WB777OZDIDB7FnKX8J9eB2q9Xq/v/MmTOSTqclHo/LmTNnTjzewHEccRxHWq2WlEolSaVScurUKfngBz8on/70p+Wb3/xmwK0/0vsc+lGcO3eu73e3V1fs7e31/R6LxXxpDwAAAABgPk17rk6eDgAAAGAaZDKZ7muVyuWTTwVKp9PSaDT6Bpxt25ZCoXBi2lnKX0I9uH3vvfeKyNFVAHt7e3L16lXZ3t6Wvb092d/fl3K5LOl0Ws6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cHkKHr6qJiMwTZ2traz370jzItulcHl+3zc1Ng9s5NcjjZX9m/2n72M7gJmdnkMfM9PR0W/fRPn6PXPfeHqw8/l1qtb58UnJzc9NJj5zJyzFTKpVSr34nP/JyzLRaR08aFYtFFz4MKXk6DJ5cFgYrr3+P5HlcFHl6D8qB6NalYOgsLS0d/FypVKJYLKaWn56ePvi52WzG+vr6uWybzuXxdcvqA4MzqOOlXq9Ho9GItbW1zLKlUulIP/f3ZzAG+RnTbDZjYWEhs1yxWIxSqXTkOYOTx79LjUYj5ubmYmFhISYnJ3teP93JwzGzvr4ejUYjFhcXu66Ls5eHYyYiYmpq6khdm5ub/gYNKXk6DJ5cFgYrj3+P5HlcJHl5D8qB6AWD20OoWq0e/NzuH+XDJ/Rv3759Ltumc143TmNQx8vt27djdna27S87lUrlyPMvfOELHbVL9wb5GbOxsdF22YcPHx78fOXKlY7bpHt5/Ls0MzMTk5OTj51sJB/ycMzcunUrisViXLt2reu6OHt5OGaq1WrUarWD56urq0faYLjI02Hw5LIwWHn8eyTP4yLJw3tQDkSvGNweMsev5nz3u9/d1n6HP8y6uRJ1UG3TOa8bpzHI4+X69eunSjaOf0mbmJjoqF26c14+Y5rNZjSbzYh4dDLJFduDk8djZnFxMer1eluzbei/PBwz9Xo96vV6NJvNGB0djYmJiZibm/MdKafycMzszxI6XPfs7GxXdZJf8nQYPLksDFYe/x7J87hI8vAelAPRSwa3h8zhq14iou2rXo6X62TJo0G2Tee8bpzGII+XycnJUy1Rsz9QmdQH+uO8fMa88MILB+1KbAcrb8dMvV6P5eVlVxPnWB6OmeNLkTcajahWqzEzMxOFQiFmZmZ8V8qRPBwzMzMzR54/++yzHddF/snTYfDksjBYeft7JM/josnDe1AORC8Z3B4yL7300pHn7X55ftvb3nbk+d27d89V23TO68ZpnKfjpdFoHHl+fGk3+uM8HDPNZjPm5uZicnIyNjY23OdnwPJ2zFy9ejWmp6ddTZxjgz5mGo3GYycKjltfX49yuXzkKnUGJw/HzOGTQsVi8cj97Bg+8nQYvPP0XpDLMozy9h6U53HRDPo9KAei1wxuD5njX4A7vQJna2vrXLVN57xunMZ5Ol4Of9mSrAxO3o+ZRqMR5XI5isVi3LlzxxXbOZCnY2b/quLnn3++67o4O4M+ZkqlUqyursbS0lLMzs6mtl+tVqNcLnfUDr0z6GNmdXX1yPP9QYv19fWYmZmJiYmJKBQKMTo6GuVyOZaXlx+bxcf5Ik+HwTtP7wW5LMMoT+9BeR4X0aDfg3Igeu0rBt0Beuv4h1SnOvngGGTbdM7rxmmcp+Pl8Jem48vF0j95Pmb2v0DvGx0djaWlpVhYWOh5W7QvL8fM+vp6rK+vm81/DuThmDl+4rnZbEa1Wo1bt249Vm+9Xo+pqanY2NjouD26M+hjplqtHnn+1FNPRblcfmyJv2azeXA/98XFxVhbWzO74ZySp8Pgnaf3glyWYZSX96A8j4tq0O9BORC9Zub2kOn0w+X4H/OHDx+eq7bpnNeN0zgvx8vhpW6WlpbMxh2gvB0zzWYzlpeXY2Ji4rF7/UQ8Onl00nb6Jw/HTLPZjJmZmZidnbUM5DmQh2PmpLoXFhZiZ2cn1tbWHmurVqvF8vJyz9rjdAZ5zDQajcfaf+GFF2Jubi52dnai1WpFq9WKra2txy6amJmZifX19VO3yeDJ02Hwzst7QS7LsMrDe1Cex0UmB2LYGNzmRIO8KtsV4eeT143TOOvjZWlpKSIeLZ1jFu5w6NUxU6vVYmtrKyqVSmIyu76+btBpCHRzzFy9evVgqWkujrP62zQ9PR337t2LycnJI9tv3bp1Ju3RP72YRVssFuPevXsxOzt75MTR/mfQ8c+hZ555xvfuC0yeDoMnl4XBkufBYMmByAuD20OmV8updFLPINumc143TuM8HC/1ej2q1WoUi0VLvuZA3o6Z6enpgy/KGxsb0Wq1YnV19bH6FxcXfXEekEEfM8vLy1Gv12Ntba0n/eDsDfqYabfuzc3NIwPczWYzarXambVJskEeM8dP7Bw/oXPc7OzskdkLzWbThRHnkDwdBu88vBfksgyzQb8H5XlcdHIgho3B7SHz1FNPDayeQbZN57xunMZ5OF6eeeaZiIi4c+eOJdxy4DwcM7Ozs7G5ufnYF+vj9wOiPwZ5zOzf02lpaemxWbbk13n4nNn3/PPPH3nuxPVgDPKY2draOvL83e9+d+Y+x++3anWR80eeDoN3Ht4LclmGmTwPBksOxLAxuD1kOr0C5/jstH5eEd6Ltumc143TyPvxMjc3d3AlroQlH/J+zOwrlUpx586dI9teeumlM22Tkw3ymJmZmYnJyUlLQJ4z5+VzJiJicnLyyC0Rjl/BTn8M8pjppI5SqfTY95r9+7FyPsjTYfDy/l6QyzLs5HkwWHIghs1XDLoD9NaVK1eOvMmbzWZbHxYPHz488nxiYuJctU3nvG6cRp6Pl2q1GtVqNVZXV2N6errn9dOZPB8zx01OTsb09HSsr69HhEGnQRnUMbO8vByNRiMqlUrMzMxklj+cnN26dStu37598Pz69es+h/roPH3ORERMTU1ZjnzABnnMdHqcHe9zo9Ew+HGOyNNh8PL8XpDLchHI82Cw5EAMG4PbQ6ZcLh953u4b/vjSEIdnlJyHtumc143TyOvxUqvVYm5uLlZXV4/ck4XBy+sxk+T69esHg9vuuT0YgzpmvvCFL0REdDToWK/XjyRcpVLJSY8+Om+fM4eXGbXM72AM8pg5fgKp3b81x08IHT/JRL7J02Hw8vpekMtyUcjzYLDkQAwby5IPmStXrhx53u6ss8MfKMVisaN7+wyybTrndeM08ni81Ov1mJqaiqWlJScDciiPx0yaw1/sLb85GOftmGHwztsxc7gdnzODcR5zpuPHigsjzpfzeMz5u8qwyeN7QS7LRZLH9yBcJOfx+6gciDQGt4fM5OTkkTd9u/cLvXv37sHPxz9szkPbdM7rxmnk7XhpNBpx9erVWFhYcO+knMrbMXMaPtsGY1DHzNLSUrRarbYfhxO6tbW1I7GlpaVTt0/nztvnzOF2p6am+tYuXzbonOmw4zMh2uXE7vky6GPuPH1GwlnJ23tBLstFI8+DwRr099HD5ED0gsHtIXTt2rWDnw8vnZLmcLnFxcVz2Tad87pxGnk5XhqNRpTL5ZidnW07wWg0GrG8vNyT9mlfXo6Zdhy+etSg0+Ccp2OGfDhPx8zhRN4yv4MzyGPm8Ove7hKZx5fuc6+580eeDoOXl/eCXJaLKi/vQbio5EAMlRZDZ3NzsxURB48sGxsbB2VLpdK5bZvO5fF129raOtKn1dXVM2mH08vD8bKzs9MqlUqt2dnZU+03OTnZ2tzc7EkfaF8ejpl2LS0ttSKiVSwW+9ouR52HY6ZUKh20uba21pc2SXYejpl9+8fOwsJCX9vlqEEeM4friojWzs5O5j6zs7MH5SuVSlftMxjydBi8PLwX5LJcZHl4D2aR5zHM5EAMEzO3h9Dk5OSRK2HW19dTy6+trR38nHX1TbVajcXFxcT7Ipxl25ydQR4zSY5fmUV+DPp4aTabUS6Xo1QqHZTNetRqtSiXywf9p78Gfcycxq1btyIi4vnnn+9JfXTmPB0z5MN5OWbW19ej0WhEsViMZ599tuv66Nwgj5lKpXJkSb39vz1pDs9usCTm+SRPh8Eb9PcFuSwX3aDfg3DRyYEYKoMeXedsHJ71Ojk5mVhuZ2en7atfKpVKW1fXnEXbnL1BHjMnWVtbO7Lv0tJS2/ty9gZ5vExOTh4pd5qHFQAGZ1DHzNLSUmtycrK1sLCQ+Rm0sLBgNmWO5O3v0nGu6M+fQRwzGxsbrWKxeFBX2oyqra2tg7JmXuXDID9njs+a2NraSqzz8CyH0870I1/k6TB4clkYLHkeDJYciGFhcHuIHR4cTBoY3P9iXSwWM//wn+aLda/bpj8Gecwctr9M1+F90/7YMhiDOF66ORkQ4U/eoPX7mDn8RXz/kTRwPT09ndovBiMvf5dO4qRHPvX7mDm8TFpa4r0/CF4qlVITePpvkJ8zq6urB+VKpdKJdR/+Xuz78HCQp8PgyWVhsOR5MFhyIIaBb0dD7vBskunp6dbm5mZrZ2entbGxcfABNTk52VbSul/P/mNjY6NvbdM/gzpmdnZ2WtPT049d6XX8UalUDvrF4PXzeNkffOz04Sq/fOj3Z8zxC2X2v5hPT0+3FhYWWpVK5eC5Aad8GuR3mTROeuRXP4+Z4/cNO/45Mzs7e9BmOytIMBh5yZmKxWJraWmptbm52drc3GwtLS0dxHyPGS55Oebk6VxkclkYLHkeDFZevo/KgeiUwe0LYn9Z1sMfGpVK5VR/pDc2NlqlUqlVLBZPtWRrL9qm/wZ5zHD+OF44rX4dMzs7O62FhYXH2iqVSq3p6enW6uqqk7fnhM8ZTqtfx8zW1lZrdnb2oNzxz5m1tTWfM+fEID9nVldXDy642m97/7YaLr4aXvJ0GDzfMWGwvAdhsORAnFeFVqvVCgAAAAAAAADIsUuD7gAAAAAAAAAAZDG4DQAAAAAAAEDuGdwGAAAAAAAAIPcMbgMAAAAAAACQewa3AQAAAAAAAMg9g9sAAAAAAAAA5J7BbQAAAAAAAAByz+A2AAAAAAAAALlncBsAAAAAAACA3DO4DQAAAAAAAEDuGdwGAAAAAAAAIPcMbgMAAAAAAACQewa3AQAAyJ2pqakoFAoxNzc36K4AAACcOTkQtMfgNgAAALlTq9UiImJmZiaxzPLycoyOjkahUMh8lMvlx/ZvNBoxMTGRut/ExMSZ/Y4AAAD75EDQHoPbAAAA5Mr6+vrBz5VKJbHcwsJC7OzsxNbWVkxOTp5YZmlpKVqtVmxubj4WK5VKsbW1FTs7O4/tXywWY3V1Nba2tjr8LQAAANo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       "text/plain": [
        "<Figure size 2000x800 with 3 Axes>"
       ]
@@ -224,7 +217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -233,17 +226,17 @@
      "text": [
       "Parameterisation for rad_length_frac:\n",
       "intercept= 0.0\n",
-      "coef= {'1': 0.19830920321074946, 'x': -4.49175976974402e-05, 'y': 0.00039490060416272056, 'tx': 0.00015102371088508598, 'ty': -0.3004315695136339, 'qop': -15.314945266490128, 'x^2': -1.8619394568578818e-05, 'x y': -4.953907513838906e-06, 'x tx': 0.021617503882699386, 'x ty': 0.03829244150062255, 'x qop': -0.41798007270055415, 'y^2': -2.4410328131494868e-05, 'y tx': -0.03443063985633742, 'y ty': 0.024201355785359608, 'y qop': 0.069823295273139, 'tx^2': -9.507076220830514, 'tx ty': -0.3980701633198789, 'tx qop': -0.04742639222342226, 'ty^2': -5.342167619183405, 'ty qop': 0.04842038611881145, 'qop^2': 0.2070268831284635, 'x^3': 1.5823479402461545e-07, 'x^2 y': -5.806838940825474e-07, 'x^2 tx': -0.00023418353598118923, 'x^2 ty': 0.0037081774556846224, 'x^2 qop': 0.01641641113222204, 'x y^2': 6.398758958085149e-08, 'x y tx': -0.002932641224303519, 'x y ty': -0.001396824762733282, 'x y qop': -0.020888196868450136, 'x tx^2': 0.09096908124129072, 'x tx ty': -2.939755357349759, 'x tx qop': -8.73057282483271, 'x ty^2': -0.15340975596199197, 'x ty qop': 9.249941815315987, 'x qop^2': 0.030205199863621846, 'y^3': 1.6478595155078324e-07, 'y^2 tx': 0.0013152209574444013, 'y^2 ty': -0.000257931039205234, 'y^2 qop': -0.0057816482028933735, 'y tx^2': 2.685350530706497, 'y tx ty': 0.17814134491255038, 'y tx qop': 9.050929476915277, 'y ty^2': 0.10064678584510746, 'y ty qop': 4.6142369495362185, 'y qop^2': -0.00046589334175238057, 'tx^3': -0.6242025517665986, 'tx^2 ty': -0.017658603327465147, 'tx^2 qop': -0.022216794668845363, 'tx ty^2': -0.01024816705930792, 'tx ty qop': 0.024042119917448937, 'tx qop^2': 6.093129132646114e-05, 'ty^3': 0.09834545208780196, 'ty^2 qop': 0.011664187426493774, 'ty qop^2': -2.1825340747940462e-05, 'qop^3': -1.559907925017188e-06, 'x^4': -2.9483981922595603e-09, 'x^3 y': -6.13444928188045e-09, 'x^3 tx': 7.101384723817716e-06, 'x^3 ty': 7.16725431293419e-06, 'x^3 qop': 4.00953960828232e-05, 'x^2 y^2': 1.0679747086683733e-08, 'x^2 y tx': 7.616826922074438e-06, 'x^2 y ty': -3.91052449297824e-05, 'x^2 y qop': 9.93899828579223e-05, 'x^2 tx^2': -0.005400741368580057, 'x^2 tx ty': -0.009338160688408294, 'x^2 tx qop': -0.0017215190824096578, 'x^2 ty^2': 0.0007665795500993852, 'x^2 ty qop': 0.08528819041114723, 'x^2 qop^2': 8.037042310903203, 'x y^3': 8.933181749881669e-09, 'x y^2 tx': 1.766907321343325e-05, 'x y^2 ty': -2.1412010806409754e-05, 'x y^2 qop': -7.010215747540322e-05, 'x y tx^2': -0.0021778144582400415, 'x y tx ty': 0.0326584774738, 'x y tx qop': -0.1598215452174385, 'x y ty^2': 0.012945427966444779, 'x y ty qop': -0.23950569088511311, 'x y qop^2': -0.8775916738593352, 'x tx^3': 1.366672968587086, 'x tx^2 ty': 1.7459886700480327, 'x tx^2 qop': 0.4423601484422016, 'x tx ty^2': -1.0803356692637864, 'x tx ty qop': -0.0706577637682464, 'x tx qop^2': 0.006422119173581787, 'x ty^3': -2.2905272843167253, 'x ty^2 qop': -0.0063092971067729734, 'x ty qop^2': -0.001963650254414034, 'x qop^3': -1.0318719588655238e-06, 'y^4': 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-0.0016912696788365421, 'x^2 y ty^2': 0.00031313327173996576, 'x^2 y ty qop': -0.00464221485985505, 'x^2 y qop^2': -0.021052188879644034, 'x^2 tx^3': 0.2645245528224416, 'x^2 tx^2 ty': -0.33220588343665813, 'x^2 tx^2 qop': -0.1711975210821735, 'x^2 tx ty^2': -2.5912873965567513, 'x^2 tx ty qop': 0.6199222216667238, 'x^2 tx qop^2': 0.26554090739446995, 'x^2 ty^3': 0.21995419222883894, 'x^2 ty^2 qop': 0.5566329227084174, 'x^2 ty qop^2': 0.007138707803204316, 'x^2 qop^3': -0.0036233474117857143, 'x y^4': 3.4643399260403385e-11, 'x y^3 tx': -3.715471736942533e-07, 'x y^3 ty': 5.088992998114605e-07, 'x y^3 qop': -2.9562267287452926e-06, 'x y^2 tx^2': 0.001848217429633696, 'x y^2 tx ty': -0.0006914744675563748, 'x y^2 tx qop': -0.0005866344884493824, 'x y^2 ty^2': -0.0007084811094364334, 'x y^2 ty qop': 0.0021049811349424605, 'x y^2 qop^2': 0.010952363514219516, 'x y tx^3': 0.4012187913820339, 'x y tx^2 ty': 4.799588041207373, 'x y tx^2 qop': 1.3345269234332224, 'x y tx ty^2': -0.3492025592669184, 'x y tx ty qop': 0.7401379477245426, 'x y tx qop^2': 0.00853019020452141, 'x y ty^3': 0.2663977835465425, 'x y ty^2 qop': -0.609737555278061, 'x y ty qop^2': 0.04129006001688038, 'x y qop^3': 0.0008163990713127198, 'x tx^4': -48.942089737430436, 'x tx^3 ty': -0.7028902863652343, 'x tx^3 qop': 0.06643076319999941, 'x tx^2 ty^2': -3.4139167347725943, 'x tx^2 ty qop': 0.004841829970654066, 'x tx^2 qop^2': 0.0007186793516648628, 'x tx ty^3': -0.2579234851632811, 'x tx ty^2 qop': 0.005881970664042852, 'x tx ty qop^2': 3.936368237569365e-06, 'x tx qop^3': -6.671449197806545e-06, 'x ty^4': -0.7419058590355208, 'x ty^3 qop': 0.0013112782683548875, 'x ty^2 qop^2': 0.00010835312377364621, 'x ty qop^3': 2.0484219462302866e-06, 'x qop^4': 2.580463321616666e-08, 'y^5': -3.2720492981752614e-12, 'y^4 tx': -5.762284480681501e-07, 'y^4 ty': 2.5788644553159656e-09, 'y^4 qop': -2.837759991436428e-07, 'y^3 tx^2': 0.0006211299557630969, 'y^3 tx ty': 0.000747045380526546, 'y^3 tx qop': 0.0020744456340701305, 'y^3 ty^2': 4.4960392427497754e-06, 'y^3 ty qop': 0.001141710321238258, 'y^3 qop^2': 0.002696814911126153, 'y^2 tx^3': -2.1363036642104674, 'y^2 tx^2 ty': 0.0687773207312733, 'y^2 tx^2 qop': 0.9871972836921945, 'y^2 tx ty^2': -0.2701567032221813, 'y^2 tx ty qop': -0.848252914690415, 'y^2 tx qop^2': 0.03660886322324573, 'y^2 ty^3': -0.005452852127128314, 'y^2 ty^2 qop': -0.7021206166732931, 'y^2 ty qop^2': -0.08018559047526934, 'y^2 qop^3': -0.00011753193330693663, 'y tx^4': -0.6680420541418445, 'y tx^3 ty': -3.384167006412971, 'y tx^3 qop': 0.006637451265825805, 'y tx^2 ty^2': -0.2331985780185122, 'y tx^2 ty qop': 0.006353552479363033, 'y tx^2 qop^2': 5.615722587673721e-06, 'y tx ty^3': -0.7572903037298312, 'y tx ty^2 qop': 0.0005634713263895614, 'y tx ty qop^2': 0.00010068765868206922, 'y tx qop^3': 2.012241389483668e-06, 'y ty^4': 1.5039421870145853, 'y ty^3 qop': -0.004362654564735129, 'y ty^2 qop^2': -0.00021869646501481262, 'y ty qop^3': 2.17774577667171e-07, 'y qop^4': -5.1794510300353154e-09, 'tx^5': -0.3290348306030112, 'tx^4 ty': -0.004713501192249353, 'tx^4 qop': 0.00039080511691431735, 'tx^3 ty^2': -0.02293656439194589, 'tx^3 ty qop': 1.795982117437259e-05, 'tx^3 qop^2': 1.3703545654537173e-06, 'tx^2 ty^3': -0.0016697750693905097, 'tx^2 ty^2 qop': 2.67609154249412e-05, 'tx^2 ty qop^2': -3.12791956432394e-08, 'tx^2 qop^3': -1.1594178303086993e-08, 'tx ty^4': -0.005076176679563355, 'tx ty^3 qop': 1.1834454126493736e-05, 'tx ty^2 qop^2': 1.9879319916637808e-07, 'tx ty qop^3': 4.055187311820455e-09, 'tx qop^4': 4.214995181248244e-11, 'ty^5': 0.010165548951092954, 'ty^4 qop': -1.6822916965291464e-05, 'ty^3 qop^2': -4.4801213131046415e-07, 'ty^2 qop^3': 7.260260169082666e-10, 'ty qop^4': -1.2734042962503632e-11, 'qop^5': -3.472724885502462e-13}\n",
-      "r2 score= -0.008270330873300091\n",
-      "RMSE = 0.10823208615961777\n",
+      "coef= {'1': 0.19432666451166924, 'x': -0.00010136532791187516, 'y': -0.00022209404990607013, 'tx': 0.058480207541052064, 'ty': 0.18599542917589618, 'qop': -17.657405901936546, 'x^2': 1.2271024867047469e-05, 'x y': 5.376824972059055e-08, 'x tx': -0.025941371835257743, 'x ty': 0.014328015524776564, 'x qop': -0.38410998543244235, 'y^2': -1.8261507968709735e-05, 'y tx': -0.014951077113227147, 'y ty': 0.02154311538810164, 'y qop': -0.008987663050567057, 'tx^2': 9.180854607357592, 'tx ty': 0.1873064867954838, 'tx qop': -0.47120712928737807, 'ty^2': -6.787398610853974, 'ty qop': -0.05031041352613623, 'qop^2': 0.24778641944197533, 'x^3': -5.992321693190818e-09, 'x^2 y': -2.649404482539432e-07, 'x^2 tx': 5.42176741002125e-06, 'x^2 ty': 0.0020253771536145383, 'x^2 qop': 0.003955288970107154, 'x y^2': 2.8906882704270233e-09, 'x y tx': -0.0016493773782229844, 'x y ty': 0.0005067592007986898, 'x y qop': -0.0031813438496783404, 'x tx^2': 0.0022653308811514867, 'x tx ty': -1.5366360302916284, 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qop': -0.002168783048351754, 'x^2 y ty^2': 0.0005557263565684947, 'x^2 y ty qop': -0.0027368181509398255, 'x^2 y qop^2': -0.021251765155328187, 'x^2 tx^3': 0.04636097936049924, 'x^2 tx^2 ty': 0.19264721978393362, 'x^2 tx^2 qop': 1.1201214250508411, 'x^2 tx ty^2': 0.2717131602944406, 'x^2 tx ty qop': 1.0069243735131281, 'x^2 tx qop^2': 0.0017781753799746996, 'x^2 ty^3': -0.17716467804753896, 'x^2 ty^2 qop': -0.7967627886628681, 'x^2 ty qop^2': -0.020752836202331357, 'x^2 qop^3': -0.0003102149541338055, 'x y^4': -3.716849050761084e-11, 'x y^3 tx': 4.2096182362172385e-07, 'x y^3 ty': 9.343710843934261e-08, 'x y^3 qop': -4.85417695898771e-06, 'x y^2 tx^2': 0.0007723490259714336, 'x y^2 tx ty': -0.000465174042059667, 'x y^2 tx qop': 0.0083072051829175, 'x y^2 ty^2': -0.0001514875700367028, 'x y^2 ty qop': 0.0033210944559410355, 'x y^2 qop^2': -0.0016097785846472324, 'x y tx^3': -0.18644890104309755, 'x y tx^2 ty': -0.04212197105444866, 'x y tx^2 qop': 1.0626013948995083, 'x y tx ty^2': 0.09950829907042329, 'x y tx ty qop': -0.7011822284857461, 'x y tx qop^2': -0.02153879411999937, 'x y ty^3': 0.07920758108734982, 'x y ty^2 qop': -1.3677505196768507, 'x y ty qop^2': 0.005572049947548557, 'x y qop^3': 0.0003625259165958029, 'x tx^4': -7.806580145878633, 'x tx^3 ty': -0.48543671938056426, 'x tx^3 qop': 0.01223464815691587, 'x tx^2 ty^2': -0.7759844557140754, 'x tx^2 ty qop': 0.004830189695310542, 'x tx^2 qop^2': 6.943806457826217e-06, 'x tx ty^3': -0.2626842333297885, 'x tx ty^2 qop': -0.002218311914437031, 'x tx ty qop^2': -5.935445430100284e-05, 'x tx qop^3': -4.652385512477656e-07, 'x ty^4': -0.13391527053501218, 'x ty^3 qop': -0.004907072655857102, 'x ty^2 qop^2': 1.6619362532345914e-05, 'x ty qop^3': 8.142368541762968e-07, 'x qop^4': 4.653376619669799e-09, 'y^5': 3.825384453648439e-12, 'y^4 tx': -4.679158727149968e-10, 'y^4 ty': -5.908476596871992e-09, 'y^4 qop': 2.1690478767266708e-08, 'y^3 tx^2': -9.496214334184586e-05, 'y^3 tx ty': 7.42067773199526e-05, 'y^3 tx qop': 0.004042069781436391, 'y^3 ty^2': 1.3648094370263125e-06, 'y^3 ty qop': -9.095584346929984e-05, 'y^3 qop^2': 0.0026650743754950902, 'y^2 tx^3': -0.22830126100028328, 'y^2 tx^2 ty': 0.07976968562385643, 'y^2 tx^2 qop': -0.569375473311322, 'y^2 tx ty^2': -0.05752462027849215, 'y^2 tx ty qop': -1.3821142344540522, 'y^2 tx qop^2': 0.0030041051075548795, 'y^2 ty^3': 0.0007092199317686958, 'y^2 ty^2 qop': 0.08213843039582976, 'y^2 ty qop^2': -0.009533342523832138, 'y^2 qop^3': -4.410702217968634e-05, 'y tx^4': -0.4617640318570093, 'y tx^3 ty': -0.7726015660797079, 'y tx^3 qop': 0.004989400779050441, 'y tx^2 ty^2': -0.2543425991684884, 'y tx^2 ty qop': -0.001971807200332014, 'y tx^2 qop^2': -6.047144105356334e-05, 'y tx ty^3': -0.14996432803062354, 'y tx ty^2 qop': -0.00494485016520198, 'y tx ty qop^2': 1.250565568496303e-05, 'y tx qop^3': 7.906173456988411e-07, 'y ty^4': 0.023264047526106668, 'y ty^3 qop': 0.0014038996016424031, 'y ty^2 qop^2': -2.8280611787753928e-05, 'y ty qop^3': 3.0725068466100624e-07, 'y qop^4': -4.09432863754477e-09, 'tx^5': -0.052446331725343374, 'tx^4 ty': -0.0031642363210890884, 'tx^4 qop': 5.831594421042545e-05, 'tx^3 ty^2': -0.005193740457310502, 'tx^3 ty qop': 1.5211405438268112e-05, 'tx^3 qop^2': 7.987434860389955e-09, 'tx^2 ty^3': -0.0017266713029734364, 'tx^2 ty^2 qop': -3.2665518364513855e-06, 'tx^2 ty qop^2': -1.2886641260179494e-07, 'tx^2 qop^3': -7.431322766916425e-10, 'tx ty^4': -0.0009711418007784676, 'tx ty^3 qop': -1.1566774851255521e-05, 'tx ty^2 qop^2': 3.07405227672554e-08, 'tx ty qop^3': 1.5258831556369568e-09, 'tx qop^4': 6.567772758657935e-12, 'ty^5': 0.00011456709116180268, 'ty^4 qop': 6.736678103390532e-06, 'ty^3 qop^2': -6.391677860197088e-08, 'ty^2 qop^3': 8.915568061124554e-10, 'ty qop^4': -6.626331897050053e-12, 'qop^5': -2.2660425734485018e-13}\n",
+      "r2 score= 0.04993524171391073\n",
+      "RMSE = 0.12351226258714283\n",
       "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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RQkREGeXg6fNYv20vJowdiUfvmYfSMVzkVG1xJyNPPvkkHnroIQCXOqYGV8n1eDwQRRE6nQ7V1dWorq5GSUkJgKEX0yEiIkqnDz/x4/GX92P6+NFYf888FI/M3PqDYHOLkvLZIu5YN23ahJ07d8LlcsHv90tqQQRBwPbt22GxWCQdoyorK5MXcYp85zvfwejR4avpVq9erXrPfyIiUuZPLWdR9/oBLJxcgrXfnINRI8L3qqivr0d9fX3YfRcvXkxliBL5NJom7lj9fj8cDgdEUYRer4fFYsHy5ctDtSAOhwMGgwEOhyPhVXDV8Otf/5qjaYiIctT2/afxs+2HcKNuAv7+ttkYUTB0l8lIX0CDo2nSIZ+SkYSmg6+srAxNarZy5cpQIgJIO7a+9dZbAC6NqiEiIlLDtl0n8C+uQzDNnYia26+JmIiQOuJOnGpqarB58+aIr9Hr9WhubobRaIROp4PH48GyZcsSDjKVCgsLJf9S7EaOHIn169dj5MiRaoeSlXj9Esdrl7h8unaiKOJ/dhzDb3d8gmX6yfjeV2YoXmcmnfeMVM3Amonifp+xroCr1WrR3NwMk8k0aJnhTMJkJHEjR47Ehg0b1A4ja/H6JS4fr51Gs1GyLV+aIFb5cu0CARFb/uDFS7tP4btfmYEqw5SkHDed94xYmmm2AXhhiH09yQ0npeJORmJdWybI6XRi5syZ8Z6GiIgoIX39Afxs+yH8/uDnWH2LDt+YP0ntkFLm3suPcA4B+L9pjEWJuJKR9vb2hKYP5jwjRESUDj19AdheO4Dmo2146LZrcPPsK9QOKWH51EwTcy+e1tZW3HrrrVixYgXefPPNuE4SnLWViIgoVS729GH9C3ux6xM/HrlrTlYnIgBnYA2rvLwczc3N+OCDD2C322GxWGA0GmGxWHDdddelMEQi9SSrnZ5IKX72IjvX2YuNL+zFCX8nHr13HuZdXRK9EGWMuMc3LVq0CE899RQOHToEo9GITZs2YcmSJXjyySfR3t6eihiJiIiGdKajG2uaduPzjm7ULluQM4kIF8qLUWVlJbZu3QqXy4WSkhLceuutuP322zmvCBERpcUJfyesjt3o7gtgc+VCCFcUqx1S0uRTM01SZn4pKSnBypUr0dzcjKeeego7duzAzJkzsWrVKuzatSsZpyBShSiulzyIKHN4P+/AmqbdKBw+DHVVCzFZW6R2SJSgpE9DV15ejs2bN+Pw4cOoqqrCpk2bMGvWLDbjEBFR0uw72Y61z32ECcUjsXnZQkwozr1J3JQ00ShdZC/dUjonbkVFBbZu3YpDhw6xGYeIiJLCfdSHddv2QLhiDB6/bz5KRitZwSVzsZkmBeTNOCtWrEjXqYmIKEe8c/BzPPbSflw3VYsN98zD6MJsuuXGJ586sKb9pxhsxsk0lZWVKCoK394YaQVHym8c+kuUPq/tOYX/+H0Lvj77CvywYhaGp2jBu/r6etTX14fd19nZmZJz5rukJCNHjhzBjBkzknEo1TQ1NUGv16sdBhERheFwH8d/vncEdy6chOqbBAwbpmzBu0gifQH1eDwwGAwpO/dAsaxNE618tkhKWmkwGPD0008Per61tZWdVomIKGGiKOKZd1vxn+8dwf93/VRYbk5tIpJJ2GckThUVFRAEYdDz5eXlaGho4PBeIiKKWyAg4j9+34Imzwncf1M5/vLL06HR5Ecikm+Skjht3boVDzzwAARBkDTXHDlyBGfOnEFFRQXOnj2bjFMRZRT2ESFKjd7+AH7qPIj3Dp/BDytmwTR3otohpV0+LZSXtFqcp556CqtWrYJWq4XX64XH44HX64UoiqiqqkrWaYiIKMd19fZj86sH8OFxP6x3XIuv6CaoHZIqhhcAIxRUBA0XAfQnLZyUSkoy8sADD2DLli0QRTH0nMFgwFNPPQWj0Yjy8vJknIaIiHJcR3cfHn1xL1rPXMD6u+fhuqlatUOiNEhKn5GtW7eioqICdrsdLS0tCAQCqKiogE6nYyJCREQx8V/swT889xE+8XXiJ99akPeJSEEBMHx44o+CLGqnSUrNSHV19aC5QzZv3oympiY8/fTTuP/++5NxGiIiylGftXfhx8/vQVdfAJsrF2D6+DFqh6S64cOAEVESiqd6gYbe8Pu6xPDPZ6Kk1IwMNZtqZWUlSktLsXbt2mSchoiIctAnvouoadqNgAjUVS5kIhKHB0YAntHhH/89Su3oYpeUZGTRokVD7vN6vWhoaEjGaYiIKMccOn0e1qbdGDNyOOqqFuKqkiy6g6aYkiaa4CNbpDzUqqqqsHOQEBFRfvvo+Dk89tI+TBs/Guvvnouxo3JzwbtEDS8ARii4S2dRLpL6WMvLy9mJlYiIJP7sPQvbawcw7+oS/MM356CoMIt6W6bLMCibLCSQrEBSL5sSJyIiygFvHfgM/+I6iBuE8fj7265B4fC0LSBPGYrJCBERpc2LH55EwzteGOdMxN/cOhMFebLOTEKUTsHKmpHsU1lZiaKiorD7Iq3gSERE0YmiiGd3foL//vMxfGvRZPz1V2dk7Doz9fX1qK+vD7uvs7MzfYEMB5ORZHnyySdRVVUlWbMmEzU1NUGv16sdBhFRzgkERPzy3VZs23US375hOsyLp2RsIgJE/gLq8XhgMBjSHFHuiysZ2bJlS1zDdP1+P7xeL3w+HzZt2hR3cERElN36AyL+7c1DePPAZ3hgqQ53LpykdkjZQ2kzTZasSwPE+TYXL14Mi8US90kaGxuZjBAR5ZmevgCeeP0Adhxpw4Om2fj6NVeqHVJ2UTqaJov6BccV6qJFi1BVVYVAIBB62Gw22Gw2yXMDHzU1NXA6namKn4iIMlBnTz82vrgX7qNt+PGdc5iIUERx5002m02y7fV68fDDDw/5eovFArPZHH9kRESUldq7evGPz3+EQ5914NF752PJjDK1Q8pOwWaaRB9ZNHVL3K1R8U5g5vV64fF44j0NERFlobMd3Xhk216c6+zFpvsWYOaVxWqHlL2UjqbJovGyiluURFHEW2+9FXZfe3s7LBYLp4MnIsoDp851wtq0Gxd7+rC5komIYsE+I4k+sqjPiOK8afPmzRAEAUuWLIHJZIIgCPD5fHC73aGRN3a7XXGgRESUuVrPXMAj2/ZgdGEBNi1bgCvHcsE7ip3iZESr1aK5uRlWqxU1NTWhseOiKAIAampqcP/99ys9DRERZaj9p9qx8cW9mDhuFDbeMw/a0YVqh5QblA7tzeU+I+EIgoDGxka0trbC6/XC6/VCEAQsXrwYJSUlyTgFERFlIM+xNmx6eT9mXlmMdXfNxZiRWdRRIdPlUZ+RpIXa3t6O1tZWVFRUoKKiAtu3b4fb7catt96arFMQUZw0mo2SbVFcr1IklGyZ8LN99/AZPPH6x7huqhZr7rgWo0Zk0VdxyihJSUZWrVqFhoYGaDQa9PX1AQAqKiqwZcsWOJ1O1NbWJuM0RESUIZz7TuPf3zyEr82agL8zzsbwgizqLZktYpj0rP7UpUc4nfm0Ns2aNWtgt9uh1WoHrTWwcuVK3HbbbfjFL36BH/zgB0pPRUREGeB3HxzHL/94BHcsuAoP3KzDMK68mxox9BlZPfXSIxzPecCQJTNrKE5lHQ4HHA4HfD4fKioqBu03mUzYvHmz0tMQEZHKRFHEb/50BL/84xEsXzwFq5YyEaHkUFwzIggCli1bBgBhV2HcuXMnvF6v0tOkXGVlJYqKisLui7SCI+WXTGinj0emx0eJS/fPNhAQ8dQ7LXj1o0/x/a/OwDL9lLSeP53q6+tRX18fdl9nZ2f6AuFomthptdrQ/4PDeYM++OADOBwO6HQ6padJuaamJuj1erXDICLKOH39Afyz6yD+eOgM/t+tM3HbvKvUDimlIn0B9Xg8MBgM6Qkkj0bTKG6mWbt2LW6//Xbs2rUrVDNy5MgRPPnkk1i8eDE0Gk1CK/0SEZH6unr78ZOX9+Pdw2dR841rcz4RIXUozpsWLVqE2tpa3H///fB4PHA4HACkk5499NBDSk9DlBLxNruw2YPyyYXuPjz20j4c/qwD6++ei0XTStUOKb/EMJomavkskZRKHL1ej+bmZrS2tsLtdqO1tRWCIMBoNHLSMyKiLOS/2IP1L+zF6fYuPPat+ZgzaZzaIeUf9hmJ3a5du3DdddcBuLSir3xV3+eeey7UwZWIiDLfZ+e7sO75PbjY04/aZQtRPmGM2iHlpzxKRhRX4kSb0GzRokVYtWqV0tMQEVEaHG+7CKtjN/oDImyVTEQoPRLKuc6dO4e2tjYAgN/vx9GjRweNpAnus9vt2Lp1K37+858ri5QoBdgHhOgLhz/rwPoX9kBbVIiN987DhOKRaoeU3wqgrHYji2pGEkpGfD4fzGYzPvjgAwCX5hoZiiiK6RsGRURECdlz4hwefWkfppQWYcM98zBu1Ai1Q6I8aqZJ6G2Wl5ejubk5lJBUVVUN+VqdToeVK1fGfQ6Px4Pa2loIggC/3w+TyRTxPOG4XC6YzeZQLQ4REQ2284gPta/sx5xJ4/DjO+eiqDCL7mKUExR1YG1sbERTUxMqKyuTFQ8AwOv1wmAwwO12hyYi0+l08Pl8qK6ujvk4nN+EiCiytw9+jp86D+L6GaV4+PZrUTg8i8aD5roU1ow4HA44nU5otVp4vV4IggCbzSZ5TTIqBWKleDRNMBFpb2/HuHFfDP06cuQIysrKJM/FymKxwGg0SmZEtVqtsFgsMScjVqsVgiDA5/PFfX4ionzwyken8NTbLbjlmivxw4pZKOA6M5klRX1GHA4Hamtr4Xa7Q8+ZTCZYrdZQQpKsSoFYKU6BP/jgA4wfPx6lpdLJcGbMmIFNmzbh6aefjut4fr8fLpcLJpNJ8vzixYsBAA0NDVGP4XK5MH78eE7vTkQUhiiK2LrzE/z89y24e+HV+FsmInnFbreH7qlBJpMpNGkpELlSIBUU14xYrVaIohh2Zd7Nmzdj8eLF0Ol0uOWWW2I6XnNzM4DBnWKDF8TpdEbNyux2OxobG2G1WmM6JwB0dHSgvb095tfLjRw5EiNHsuc5EWU2URTxy3eP4PkPTuAvvzwNK5ZMDbvIaa7q7u5Gd3d3wuU7OjqSGE0UKWqm8fl8gxawbWlpCd13g5UC8mabgZUCya4dScoMrJGaQoxGI2pqarBz586YjhW8QAMX4Au3fygDq5nisXTp0rjLDLR+/Xps2LBB0TFosHSvkpttq/ISxSMQEPFvbx6Ga/9pVN8s4O4vXa12SGlXW1uLjRs3Rn9hBujRAO2BxMt3DFHWYrHAYrHAbDajsbERHo8HW7duxfbt2wEkp1IgXoqTkWgr8nq9Xng8npiP19LSAgAoKysLu9/v9w9Z1uPxYPz48RGHGg/l7bffDs0kmwjWihBRJuvpC+Cf3vgY73vP4kHTbNxy7ZVqh6SKtWvX4sEHH0y4/K5duxR/eY3Vrw4ADfuTf9zq6mq43W40NDRAp9NBEAS0traGKgGUVgokQnEyIooijh49iunTpw/at337djgcjrjmGQkmN0PVtkRKNGpra9HY2BjzuQYqLi5OqLMtEVGm6+zpx6ZX9mPvyXP4h2/OwZeF8WqHpBqlTerFxcVJjCay788Dnrgp8fK7zgBLnwu/z263o7m5GR6PB16vFy6XKzRSRkmlQKIUJyM2mw0GgwGrVq1CRUVFaJhQY2MjGhoaoNFosHbt2piPN7DNKtJ+OavVCpPJJMnYgv8P/ptIjQkRUTY739WLjS/uw7GzF7HxnvlYMIWLl2aLwhHAuKLEy0eaQNdkMsFisUAQBJjN5lCTTVVVlaJKgUQpTkZKSkrwxhtvYPny5Xj44YdDHaGC08PX1dXFtVBesIOMvBoouD1ULYvL5UJdXV3YfTqdDnq9XjKMibJDuvtssI8I5RLfhR6s27YHbRd68Ph98zFr4li1Q6J4pKgDa3BETLDfR2trK8rLy7Fy5UpUVVUlXCmgRFJmtxEEAc3NzWhpacHWrVuxefNmOJ1OtLW14aGHHorrWFqtFnq9Hk6nU/K8y+UCACxfvjxsObfbDVEUJY+amhpotVqIoshEhIjyyqfnulDj2I0L3X2wVS5kIkIhW7dulQzZ1Wq1sNls8Pv98Hg8CVcKKJHUqfbKy8tRWVmJhx9+GBUVFSgpuVQdGO+Q2S1btsDlckkuhM1mg81mk3Sw0el0oSSFiIguOXr2AmqadmOYBqirXIipZaPVDokSEawZSfQxRM1IWVnZoFoPo9EI4FJikmilgBJpmfc3lonKBgo2qVitVlitVpjNZlitVtTU1IRe4/f74fP5UtKRhogoW3386XmsafoI2qIRqKtaiCvHjVI7JEpUQRIeYVgsFmzdulVy/3Q4HNDr9aEmmFgqBZIp7taop59+Gl6vF5s2bQIArFixImJC4PP54PF44m6u0ev1EUfG6PX6qAvgBS8c5Q7OA0I0tF2f+PH4y/tQPmEMHrl7HopHJmUqKcoxwS4MZrM51Fzj9/tD84wA0koBQRDg9XphtVpTMhU8kEAyUlNTg3PnzoWSEVEUB1XlyOXT7H5ERGp4r+UMnnj9Y3xpihZr7rgWo0Zw5d2sl8KF8qqrq6MmFtEqBZIp7rfpdrslNSErVqzAkiVL8PDDD4d9vd/vT1kmRUREgGvfafzbm4fwlZkT8KBpNkYUcOXdnJDCZCTTxP02y8vLJduVlZVobW0d8vVarTaueUaIiCh223adwNN/aMU35l+FVUt1GMYF7ygLJaVBUZ6gDPTkk0+GZnUjUirZfUTYB4WylSiK+O8/H8OzOz9BpX4yvvuVGWwSzzWsGQlvy5YtcY2M8fv98Hq98Pl8oT4mRESkTCAgouEPXry8+xS++5UZqDJMUTskSoUII2JiLp8l4kpGFi9eHJq5LR6NjY1MRoiIkqCvP4CfbT+E3x/8HKtvmYlvzL9K7ZCIFIsrGVm0aBGqqqqwdevW0HNPPPEEAAzZgXXNmjV44IEHFISYHpWVlSgqCr8IwOrVq7F69eo0R0TpkOvNMmyGyi3dff2oe+1juI+24eHbr8FNs65QO6ScVF9fj/r6+rD7Ojs70xcIm2mGJp+3w+v14uc///mQr7dYLDCbzdi5c2f80aVRU1OTZHpcIqJMcrGnD4+9tA8HT3dg3V1zYJgefkVVUi7SF1CPx5OS6dDDYjIytEidVcPxer3weDzxnoaIiC47d7EXG17ci5P+Tjx273zMvXqc2iFROuRRnxHFg9FFUcRbb70Vdl97e3toiWIiIorf5+e7sea53TjT0Y3aZQuYiFBOUjy0d/PmzRAEAUuWLIHJZIIgCPD5fHC73aGRN3a7XXGgRBQ/9hHJbif8nVj3/B5oAGyuXIjJ2vD92ihHsZkmdlqtFs3NzaGF7ILj3EVRBHBp+vj7779f6WmIiPKK9/MOrH9hL8aOGo5H752PCcUj1Q6J0i2GZKT+TaA+fOMEOnuTHlHKJGXSM0EQ0NjYiNbWVni9Xni9XgiCgMWLF6OkpCQZpyAiyht7T57Doy/uw2RtEdbfMw8lRSPUDoky1OpbLz3C8RwFDI+lN55EJW0Bg/b2drS2tqKiogIrV64EcGkdGyIiip37qA+PbNsL4Ypi/OS++UxE8tkwfNGJNZFHFi1RlJRQV61ahdLSUtx2222h5yoqKtDS0sJ1aSinaDQbJQ+iZHrn4Od49KX9uG6qFhvumYvRhUmpvKZsNTwJjyyhOBlZs2YN7HY7SkpKBjXJrFy5Em63G7/4xS+UnoaIKKe9tucUnnzjYyydNQFr77gWI4dnUe9DIoUUJyMOhwMOhwM+nw8VFRWD9ptMJmzevFnpaYiIclZj8yeof6sFdy6YhB8ZZ2N4QRbVr1PqBDuwJvrIonxWcSWOIAhYtmwZAIRdMXLnzp3wer1KT0OUFEqnR+dQWUomURTxzHtH8JznBP7i+mn4i+unxrzyLqf6zwMc2hs7rVYb+n9wOG/QBx98AIfDAZ1Op/Q0REQ5JRAQ8R+/P4zX957G/TeV497rJqsdEpFqFNcFrl27Frfffjt27doVyuiPHDmCJ598EosXL4ZGo0lopV8iolzV2x9A3esfw7nvNH5knMVEhMLLo9E0imtGFi1ahNraWtx///3weDxwOBwAvqglsVqteOihh5SehogoJ3T19qP2lf3YfeIc1twxBzfqxqsdEmUqpSNismg0TVJC1ev1aG5uRmtrK9xuN1pbWyEIAoxGY9ZMelZZWYmiovBTLUdawZGyS6rb1dmOT5Gc7+rFoy/uw5GzF7D+7nm4bqo24WNl02cr234v6uvrUV9fH3ZfZ2dn+gJhn5HYrVq1Cm63Gzt27EB5eXncq/pmiqamJuj1erXDIKIc5b/Yg3Xb9uLM+W48ft8CzJ44Vu2QaAiRvoB6PB4YDIY0R5T7FLcoPfvss4M6rhIR0RdOt3ehxrEb7Z29sFUuZCJCscmjPiOKQ7XZbDAajRFf8/TTTys9DRFRVjp29iKsTbshAqirWohp40erHRJlC84zEjtBEODxeLB27VosWbJEMtQXAPx+P2w2G1fupbyQ6W3hlF6HTp/H+hf2omxMIR69dz7KxhSqHZIq+HtB0ShORmw2G7Zv3w5RFMNO1jPU80REuWz3cT9+8tJ+TBs/Guvvnouxo7jgHcWJo2liV11dDa/XC4vFMqhWBADa2trQ0NCg9DRERFnjfe9Z1L12APOuLsE/3jkHo0ZkUX05ZY5gnxEl5bOE4mSkqqoKGo0GlZWVQ76GM7DmrnQP2Yt2PqX7iZR668Bn+BfXQdygG4+/N12DwuFZdEcgUomiZOTIkSMAEDERiWU/EVEuePHDk2h4xwvT3In4m1tmYtgwNlGTApxnJLI333wTZrMZfr8fAGAwGOByuTBu3LhkxkZElBVEUcRvd36C//nzMdy3aDK+/9UZ7CtHysXQZ6R+K1DfGH5fZ3fSI0qZuJOR1tbWQUN5m5ubYTQasWPHjqQFRkSUDQIBEb/4Yyte+PAkvn3jdJgNU5iIUNqsXn7pEY7nAGD4q/TGk6i4kxG73Q6tVostW7bAaDTC5/OhsbERa9aswS9+8Qv84Ac/SEWclKGU9smI9/XJ3s8+JKREf0DEz7Yfwlsff4ZVX9fhmwsmqR0S5RI20wzN4/Fgy5YtoX4gJSUlqKmpAQC88cYbTEaIKC/09AVQ99oB7Dzahr+/7RosnX2F2iFRrsmj0TRxh9ra2hq2Q6rZbIbX601KUEREmayzpx8bXtwLz7E2/PjOOUxEKDXyaAbWpOVN5eXloQ6tck8++WSyTkNEpKr2rl784+8+wuHPOvDovfOxZEaZ2iERZb24m2nOnj2LDz/8ECUlJZLng4nI0aNHQwvn+f1++Hw+2O12PPTQQ8qjTaHKykoUFRWF3RdpBUeSirfPhdp9OKKdP9rrKb+c6ejG+m17ca6zF7XLFkB3RbHaIcWEfaPiU19fj/r6+rD7Ojs70xcIZ2Admt/vh16vH3K/IAiKAlJLU1NTxPdFRPntpL8Tj2zbg/6AiM2VCzCllAve5apIX0A9Hg8MBkN6AsmjPiMJ5U3Bmo9w078PFKwt4TA3IspmrWcu4JFtezC6sACbli3AlWNHqR0SUU6JOxkxGo1444034ipz2223xXsaylPJrj5WOnQ4WrONRlMnK18TR3SUDfafasfGF/di4rhR2HjPPGhHZ9/Ku2yWyVIc2js0q9Ua90kSKUNEpDb30TbUvrIfsyYW48d3zsWYkVnUCE/Zj8nI0CoqKuI+SSJliIjU9O7hM3ji9Y+xaJoWa+64FiOHZ9FfdqIswzSfiEjmjb2fov6tw7hp1hX4kXEWhhdkUU9Ayh0cTUOUG6JPR18ne0Y6bI9t7fnnOc9x/OrdI/jmgkmw3Cxw5V1SjTgMEBVUyIlZlEMzGSEiwqVRgr95/ygam49j+eIp+KsbpnMkIFGaMBkhorwXCIj4+dsteG3Pp/jrr83AfYumqB0SEfoLgH4Fd+n+LOrmxGSEiPJab38A/+w8iHcPn8EPK2bBNHei2iERAQACCpORAJMRouygdF4QziuS3bp6+7H51QP48Lgf1m9ci6/MnKB2SEQh/QUa9BUk3lTYXyACEJMXUAoxGSGivHShuw+PvbQPLZ934JG75mLRtFK1QyKKm/0pEQ1PhU84urrSHIwCTEaIKO/4L/bgkW178fn5bjz2rfm49qpxaodENEh/QQH6h0ceEnP/31x6hLPLE8DS6/tSEFnyMRkhorzy2fkurHt+Dy729KN22QLMmDBG7ZCIwgoUFKBfwRw3gQINACYjWaWyshJFRUVh90VawZHSK91LoXPp9dzyie8i1m3bg+HDNKirWohJJeF/5ym/1dfXo76+Puy+zs7OsM+TMkxGLmtqaoJer1c7DCJKkcOfncf6F/ZCW1SIR++dh/HFI9UOiTJUpC+gHo8HBoMhLXH0Yxj6FSww05/EWFKNyQgR5bw9J87h0Rf3YUpZETbcMw/jRo1QOySiqPpRgD4mI0SZJ93NJErPF62Zh81AqbfziA+1r+zH3KvH4R+/ORdFhVk0+QJRnmAyQkQ56/cff4Z/dh3Cl8vL8NBt16AwysgEokwSQAH6FdymA0mMJdWYjBBRTnp59ynY32nBrddeif936ywUcME7yjLK+4xkTzrCZISIcoooitja/An+6/1juPe6q/HXXy3nyrtEGY7JCFEKResDwj4iySWKIn7xx1Zs23USf3XDNCxfPJUr71LWutRMk3jNSIA1I0RE6dUfEPHvbx6Ga/9pWJYKuGvh1WqHRKRIQGEzTSCLxtNkbG8uj8cDs9kMq9UKi8UCh8MRUzmHwwGDwQCNRgOdTgeXy5XiSIlIbT19AdS9dgBvHjiNB2+bzUSEckIfhqHv8vDexB4Ze4sfJCNrRrxeLwwGA9xud2giMp1OB5/Ph+rq6iHLNTQ0wO12w2azAQCsVitMJhNaWlogCEJaYiei9Ors6cfjr+zDvpPt+IdvzsGXhfFqh0SUdbxeb+hLf3V1NbRaLYBLFQO1tbUQBAF+vx8mkwlVVVVJP39GJiMWiwVGo1EyI2qwhiRSMuL3+2G320PbW7ZsgcFggMfjYTJCCZHPAyLHPh/qOt/Viw0v7MMnvot49N75mD+5RO2QiJImgOEKh/ZGb6bxer2wWq2h++fAe2WiFQOJyLg6HL/fD5fLBZPJJHl+8eLFAC7VfgylpqZGsh3M7DjNO1Hu8V3owZrnPsKpc514/D4mIpR7gn1GEn0Eotzig1Pbl5WVwel0DvrSHqliINkyrmakubkZAAZdlODFcDqdMWdkDocDNpstplqRjo4OtLe3xxntF0aOHImRI7nWBVE6fHquCz9+fg/6AgHYKhdiatlotUOiLNHd3Y3u7u6Ey3d0dCQxGvX4/X5UVFRAEARJi8LA/S6XK9TtIWhgxUAya0cyLhnxer0AvqjVGGp/NFarFQ0NDdiyZUtMr1+6dGlMrxvK+vXrsWHDBkXHoNSLd/r1aNO3U/odPXsB67btRdGIYdh030JcOW6U2iFlnWQvQ5BNyxrU1tZi48bs+D1WPunZ0DUjwaYZebIRlMyKgVhkXDLS0tICACgrKwu73+/3Rz1GXV0dvF4v/H4/zGYz7HZ71Iv29ttv47rrros33BDWihCl3sefnseGF/biirEj8ei986AdXah2SJRl1q5diwcffDDh8rt27VL85TVWXT0a+BOvsMf5CJU4wS4PTqcTVqsVXq8XixcvDvUbSVbFQKwyLhnR6XQAAJ/PF3Z/LE0uwb4jLpcLZrMZNpstajJSXFyMcePGxRktEaXLrk/8ePzlfRAmFGPd3XNRPDLj/nxRFlDapF5cXJzEaCJ78VdteL7Bn/TjejweAJdqOSwWC2w2G7xeL0wmE3Q6Hdra2pJSMRCPjPttDiYbQ73ReEbFGI1GVFdXo66uLhmhEZFK3jt8Bk+88TG+NEWLNXdci1EjuPIu5b47vz8Bf/PE1ITLH9rViVVLDw96PlirYbFYQvfUYN8Rk8mE2trapFQMxCPjkpFg5xh5FVBw22AwxHW8JUuWcFhvDom3bVppW3Y2tYXnKue+0/j3Nw/hqzMn4O9MszGiIOMGAWadZH+O+XuRGsMKR2DUuMSbIguL+8I+P1TTi9FoBIBQLQmQnIqBWGTcb7VWq4Ver4fT6ZQ8H5xJdfny5XEdz+v1hi4wEWWXbbtO4GfbD+G2eVfhoduuYSJClATBL/3Bphi5srKypFcMRJORv9lbtmyBy+WSXASbzQabzRbK6Lxer2S692Bn1YHTxnu9XjidzrDDlogoc4miiN+8fxRP/6EVVYYp+L9f13HlXco7qZpnRKvVwmg0DlouJVgLYjAYkl4xEE3GNdMAlzrVuN1uWK3WUK9eq9Uq6YTq9/vh8/lCF0+r1cLv92PlypWhdi9BEAZdSCLKbIGAiIY/ePHy7lP43ldmoNIwRe2QiFSRyqG9NpsNBoMBLpcr1HrQ0NAAvV4futcGZzH3er2hZhl5xUCyZGQyAlxKSBobGyPub2trkzzHxCP3Re8jIu2srLQtm23h6dXXH8C/bj+Etw9+jtW3zMQ35l+ldkhEqum/vOCdkvJDGfilv7GxMfSF3u12h33NUBUDyZKxyQgR5Zfuvn7YXv0YnmNtqLn9Wnxt1gS1QyLKaeGaYcK9JlLFQLIwGSEi1V3s6cNjL+3DwdMdWHfXXBiml6odEpHqAihQuFBe9gyBZzJCOUUUayLuV3uortrnz0TnLvZi/Qt7cOpcFx67dz7mXs3JB4mA1PYZyTRMRohINZ+f78a65/fgQk8fapctgHBF+ma3JKLMwWSEiFRxwt+Jdc/vgQbA5sqFmKwtUjskoowSuDxEV0n5bMFkhIjSzvt5B9a/sBdjRw3Ho/fOx4RiLjRJJNePYQpH07CZJutUVlaiqCj8N7PVq1dj9erVaY6IUiHV08crPX8+2HvyHDa+uA9TtEVYf888lBSNUDskIon6+nrU19eH3dfZ2ZnmaPIDk5HLmpqaoNfr1Q6DKKc1H/Gh9tUDuOaqsVh351wUFWZPNTLlj0hfQD0eT9KnQh9Kv8LRNEqaeNKNyQgRpcU7Bz/HPzkPYvH0Uli/cS0Kh2dPFTKRGthnhIgoiV796BR+/nYLvj77CvytcTYKuM4MEQ3AZIRIQtpvKFofEs4bEl1j8yf49Z+O4q6Fk7DyJoEL3hHFiPOMEBEpJIoinnnvCJ7znMBfXD8Nf3H9VGg0TESIYpXKtWkyDZMRIkq6QEBE/VuH8ca+07j/pnLce91ktUMiyjqxTAf/Zv1BvFl/MOy+3s7+VISVEkxGiCipevoC+KnzIP7UcgZ/Z5qFW6+dqHZIRDnr1tWzcevq2WH3HfX48KjhtTRHlBgmI5RV5H005JT22Yi2tk2858u3PiVdvf3Y9Mp+fHTiHNbcMQc36sarHRJR1mKfESKiOJ3v6sWjL+7D0bMXseHuefjSVK3aIRFlNQ7tJSKKQ9uFHjzywl6cOd+Nn9w3H7MnjlU7JCLKIkxGKKWS3UyR6maObIs3E5xu78K65/eguy8AW+VCTBs/Wu2QiHJCQGEzTYDNNESUD46dvYh12/agcPgw1FUtxMRxo9QOiShn9Ckc2qukbLplT9pERBnl0OnzsDbtxthRw1FXyUSEiBLHmhEiitvu43785KX9mD5+NB65ey7GjuLKu0TJFss8I9HKZwsmI5dVVlaiqKgo7L5IKzhSZMnuM6HR1MmOH99Q3GiiTfce7fX54H3vWdS9dgDzJ5fgH745B6NGZM8fPKJY1NfXo76+Puy+zs7OtMXBob15qKmpCXq9Xu0wiDLamwdO419dh3CjbgIeNM3myruUkyJ9AfV4PDAYDGmOKPcxGSGimLzw4UlseceL2+ZOxOpbZnLBO6IU4zwjRESXiaKI/93xCf53xzEs00/G974ygwveEaVBP4YpXCgve2oumYxQRot33o9UzxMi77OS69O9BwIinv6jFy9+eArfuXE6zIunqh0SUd7oV9iBlav2ElHW6w+I+Nfth/D7jz/D//26DncsmKR2SESUo5iMENEgPX0B2F47gOajbXjotmtw8+wr1A6JKO+wzwhRhsi8obbSYX3pji8dzUKdPf147OV9OHCqHevunIPFM8qSfg4iio7TwRNRXmrv6sWGbXtx3N+JR++dj/mTS9QOiYjyAJMRIgIAnOnoxvpte3Gusxe1yxZAd0Wx2iER5bVYJj3z1O+Ap35H2H19nX2pCCslmIwQEU76O7Hu+T0QAdiqFmKyNvxsxESUPv0xLJS3cPWNWLj6xrD7TntO4r8MP09FaEnHZISySrqH9kY7XrqHHsf7+ljO5/28A+tf2IsxhcPx2Lfm44qxI+M6BxGRUkxGiPLY/lPt2PjiXlw1bhQ23jMfJaO54B1RpuBCeUSU89xH27Dplf2YPbEY6+6ai9GF/HNAlEm4UB4R5bQ/HjqDJ9/4GPpppbDecQ1GDs+eb1BElHuYjFxWWVmJoqLwnfYireBI6RWtD4TSPhWDTY+4N9V9PpQK18elaJYWJTdMwkN/9SX8bcUsDC/Inm9PROlQX1+P+vr6sPs6OzvDPp8KnPQsDzU1NUGv16sdBlFKjZk3HmMNV+LigTb8nXE2V94lCiPSF1CPxwODwZCWOLhQHhHlFFEU8es/HcVYw5Xo2H0GHbs+ZyJClOH6MVzhQnnZc4vPnkgpK6V6Fd1knz/a0N1sXKU3EBDx87db8NqeT/HzH30V31o0OaZy2fheiSg7MRkhymG9/QH8s/Mg3j18Bj+smAXT3Ilqh0REMeLaNESU9bp6+7H51QP48Lgf1m9ci6/MnKB2SEQUBw7tJaKs1tHdh8de3AfvmQ6sv3serpuqVTskIqIhMRmhlFK7n8HgPiB1UfZHG+ob2eDj10Q8frKvj0azEcNGFaDMNA0FY0bg7X++C9dcNTahY6n9syPKdxzaS0RZqWDMCJSZpkEzYhjOvnYU1/xvYokIEamPQ3uJKOt84ruI8XfMgBgQcfbVI+jv6FU7JCKimDAZIcoBhz87j/Uv7EWgpx8+5zEEOvvUDomIFOpXuFCekiaedGMyQlklWp+O6POIxNeHI1ofkMEiTxWdin4Ye06cw6Mv7sPUstE4+9oRiD2BmMpxHhGizJZPfUayp0GJiAbZ0erDI9v2YPZVxfjJt+bHnIgQEWUS1owQZam3Pv4M/+I8iBuE8fj7265B4XB+tyDKJbHMM9Ja/xqO1L8evnxnTyrCSgkmI5dx1d7soHQobrzNMsBY2f5nZOW/J3u99DOUqqaQl3afhP1tL4xzJuJvbp2JggTWmWGzDFF4mbJqbz8Koo6mmbr6TkxdfWfYfec8XrxneDgVoSUdk5HLuGovZQNRFLG1+RP81/vHcO91V+MHXyuHRsMF74iSKVNW7Q0o7MCaTX1GmIwQZYlAQMQv323Ftl0n8e0bpsO8eAoTESLKCUxGiLJAf0DEv715CNv3fwbLUgF3Lbxa7ZCIKMW4Ng1RkiS7z0S06dyjnT/e/YOH6k6Pq3y0Pi6xXI+evgD+6Y2P8b73LB68bTZuuebKmM8XSfT+Mxz6S6SmfBray2SEKIN19vTj8Vf2Yd/JdvzjnXNxfXmZ2iERESUdkxGiDHW+qxcbXtiHT3wX8ei98zF/conaIRFRGnFtGiJS1dmObjyybS/8nT3YtGw+Zl7JBe+I8g2ngye6TGm/gXj7dMQ7nXt08v4Vn0U83+B5Rr4q23bFdXy5WK7fqXOdWPf8HvQFRGxethBTy0ZHLTOUeOdhGUh5/55k9xfK7OORevizzH5MRogyyNGzF/Dj5/dgdGEBNt23AFeOG6V2SESkknzqwJqxDUoejwdmsxlWqxUWiwUOhyOmcg6HAwaDARqNBgaDAS6X/JssUWY68Gk71jR9hNLRhbBVLmQiQpTnApeH9ib6CGTuLX6QjKwZ8Xq9MBgMcLvdoVlRdTodfD4fqqurhyxXV1cHp9MJi8WClpYW1NXVwWQywel0wmg0pit8orjt+sSPx1/eB2FCMR65ey7GjMzIX00iopTIyL94FosFRqNRMj17sIYkUjKyc+dOOJ3O0PaKFStgMBhgs9lSmoyker6GeMvHv/5K55CvHdwnQn6u3bJn3pVtR+5DEW0tF+D6KOXl84DMlG2vkm1L49Vo2mX7H5Bty99PtHhmyI4vfz/TZdtHMWraWGhvnozuUxfg+P1x1PX/bsB+6fWR95kZ/LOUk59vaINjjXzu6OWTK/q6RPK1pZK7hki87y/evwPxzlkTzcDjZXsfimjXLtXvT3r+kyk910D9Cptp4inrcrlgNpvR1tYmed7j8aC2thaCIMDv98NkMqGqqirhmIaSccmI3++Hy+WCzWaTPL948WIAQENDQ9iEJFwZvV4PvV4Pr9ebuoCJFCiaWYKSG69G19F2+P94EgiIaodERBkinUN7LRbLoOcSbaVIRMYlI83NzQAAQRAkzwcvhNPpDHsRItV8yI8VTkdHB9rb5d+SY9WFS5cy4y4nZbAxc0di7OKrcfFgG9rf/1TtcIjyQnd3N7q7u+Ms1TXg/z3JDCeidA3ttVqtEAQBPp9P8nyirRSJyLi7Z7AWQ6vVRtwfz/HCZXxyS5cujeu4YY4A4JYh9i1QdOT4pzy/Urb/UMT9wKzQ/17A7dJzv/+G9KXf/7+SzcBZWSyNsu2bpN/0r5/7jmS7JaCTbLd9rpVs/3LiX0u252KfZHvJoj2S7cYP7pZsm7//omR776+k51uLWsn2y6e/KdkO2O+QbOM16SYOyLa/Jdv+g6z86yIgiijedwzFH3+Cjj9NRYdmOnDj5QXvPpeVPyzdHPSz/L6s6aRYuln9s3+VbFfhi47gt/35D9IXS18K/F527hGy/X3yJjr551w6LHpQefnUKW3yLwPjpJvyv1bfl/1e/Eq2/0bZ9p9k25Bey0FNdsNl5x/0eyMf9i39YWk0r8r2y5cSeCbK8aVNnINfL3dUtv3Fz0OjeU62T/bBGvTDiDYEPvLfnMHNs/LmTVlzauks6XabvHk02rWTv3d58+TAJruXALwCusTlcmH8+PHQ6/WhygAg8VaKRGVcMtLS0gIAKCsLP+213++P+VgOhwOCIMR0wd5++21cd911MR97oJKSWmTgpaRMJIoY96EXo72ncH7+DFx4bqraERHlmdtx7tz/RnzFpb/pXzh3bm3o/7t27UrCl9fYpGNor91uR2NjI6xWq+T5RFspEpVxd1Cd7tI3V3l1UVAsTS5BtbW1aGxsjP5CAMXFxRg3Tv5NKFYcgkkx0ASgbT6IUcfP4Jx+JjpnXKV2RER5aEQMf+ulf9MHvr64uFj+4pTp7+lHb3viHbH7Oroi7rdarYNqPoKS3UoRTcYlI8FkY6gakFiTEavVii1btsSVvBClzLB+lM4/gJEn/PBffw26Jk9QOyIiynDtv/odzjfENsdWvDweD8aPHz/kPTKZrRSxyLhkJNgeJc+6gtsGgyHqMRoaGmAymSSdbtQkistSfPx4h7VJ22cHtv/eq/l32WvlbcuydvJn5G3RE2XbP5ds7Rg0/FJajVh84RrJ9ndf3SqN5o4pku2Nu6RH+yZapa//lfT1E3Fasv1t/EYa7UTpUOCnH7lfsr1hxmbJ9vzv7JRs7/nhEmlAFwDN8D6ULt6HESUd6LrzagyfqkExLnW26VgsS0rOSDefObRCsv0eviLZXgy3ZPsafCzZvnn2Dsn2iYPjQ/+//svS/js7Ft8sPbm8UnFQHw/5Z0Pe50N6rcVe6WdDo5H3C5Bvyz5r8j4qv5J3WpdNcPgn+dDk78nO/ztE1Cd/w/LPbpTyUcn7NciPL98v78chH+Yt/V0DPoojlmjvNV7yPiKnZduyPiNt8n5tcrI+JZC/Xh6vtA9JspexSJcx36+C9glr9BcOoWfXAZxe+u2w+6K1HCSzlSIWGZeMaLVa6PV6OJ1O1NR88csWnEl1+fLlEcsHZ2qVj67xeDwZk5xQ/hhW2IvS6/dg+Ogu+N6fj5FT09cTn4iyW6BwFMRx2oTLi8XhF9i0Wq0wmUySL/3B/wf/TVYrRawyLhkBgC1btsBgMMDr9YbesM1mg81mC7Vfeb1emEwm2O32UOLhcrlQW1sLi8WChoaG0PHcbjcMBgOTEUqrYehC2Y17MWxEH87+aSH6zo/BSHnVBxFRmrlcLtTVhZ8wUafTQa/XY/v27QCUtVLEIyOTEb1eD7fbHRr77PV6YbVaJT13/X4/fD5fKGvzeDwwmUwAwk/eIp9VjiiVCjSdKCv8CBimwdn3FqL/otJqbyLKN8G1aZSUD8ftdg96zmq1oqGhQXKvVNJKEa+MTEaASxchUnuWXq8fdNFEUZ3ZKzOlfTFRkeOXt9VKaTTy8f3y+QXk8w/I+5RI234fGvM1yfZMUTqPSMsr8yTbG6CRbN968S3J9oHR10q2J/xjh/T0j0s3nRrpxCnrP5L2NN9wRNpn5COjtG1cM1rE8MIOlF21F4GOEfA9X4TAxeOh/R1jorR9D5fu/5un6yXbHWOkSXXDpL+Vlpd3npcP9JL005C348v7HMi0RZ7aX/kyBS7Zftk8JbI+JqIo7/v0P3HFI58uPvt/j+VLH6TyXEqXtPhelP3KptLP9p9lUD+GYViaZmANJ5ZWimTJ2GSEKBuNGHUOZRP3oa+3CL5P50G8eETtkIiIEhJLK0WyMBkhSpLm4jkou2oPervGoe30XIhi4t9oiIgCgQL0BxQ008RRNljjIRetlSJZmIyQIvFX1w69YnA4py9Km3WmfFM6nHT9dunrN4zpl2zfIL4v2T7wiHTo8EhI16gwPyU9nni1LCBpcWheu9Q0OKr0c2ivPoiePSPR9vYEIBDsqCp/f9KmEHnVuvz6dIxBROJJ+fDOaNXVX43jtcmltGo92qrB2Tp8Mx9E/9mmdn+26u8fBvQpaKbpV9ZMk05MRogUGj3hFMZNbUGn70qc+/04QNREL0REFEV/XwHQp2ChPAWJTLplT9pElGlEEWMmfoJxU1tw8fNJOHd0FhMRIqIEsGaEKBGiiLGfH8GYq0+g49Q0dHw6FQATESJKnkB/gaJmmkB/9tSMMBm5rLKyEkVF4eeCWL16NVavXp3miHJTtHb/FZgh2f4l/lqyvSog7XOx5VbZVMcbpX1Mjv9Uuj3mtoBk+7/n/x/J9j2z3pBsu8qkQ40BAKKIktOHUeQ/jfa3huPifj8A/+Wd5we/XkI+Jbq0j0i06yOnpN+H2u3sSs+fq8M5SX319fWor68Pu6+zM/GF6+LV3z8MoqJkJHsaP5iMXNbU1MQZWim6QADaUx9jVMdZ+CfNRtf+T9WOiIiSLNIXUI/Hk/TZR4nJCFHMenqHo/TEPhR2nkPb1XPQPXY8ACYjRJQa/X0FCPQmXjOipFYl3ZiMEMWgs6sQz75oRGHnebRNmYee0Vq1QyKiHCcGCiD2K7hNK5ijJN2YjFBG2aqRTlFuFLWS7aJh0vbaX0PWZ+SI7IBV0k2NT7ZkgFe6/Ze3SqcU/8uL/w3NxV6MefUIhl3og+9/5qP33MCVMOX9jOR9RmTL3g+aLj/ymjXR+pTkcz+JfH7vRLkme3q3EKlAc74HxS+2QtPdj467y2WJCBFRCvVdnvQs4Uf23OJZM0I0hDNnx6H4BS8wfBg67hYgji1UOyQiyiexDO39TT3wX/8Rfl9X+kb+KMVkhDLKoKGtr0rn7qi+59eS7eMPz5S+vll2wAPSzSnvSaeTP/6OtHyboAUAfHa6BK9sux69I0bCf8ssBDDiUgvMBNnxT8lXIT4s25bvlzfjRP5jEe9QXyLKM99efekRzh4PcO/i9MaTICYjRDInPhmP119ejLLx59F2w2yIhfw1ISIV9GuAPgWTKfZnz0SM2dOgRJQGrS0T8cqL12PipDbc+a0/MxEhIvX0A+hT8OgffMhMxb+0RJcVnT4N524DynWf4tbbPkBBgRi9EBFRqgSTESXlswSTEcpo/3nHcukTd8he8IRse51s+4x082qclGwff+xSn5HRpScwbmIrNPcVoefrV+H1YZdOFLCPkR5A3gXko4+GjP2S07JtaR8RDk8lImIyQnlPRPGET1A84RgunJ2Mq29pgSZ7mlmJKJcFm1uUlM8STEYob4kBEeMmejG69BTOfzYDF3xToNG8o3ZYRESX9AHoVVg+SzAZobwk9ou4sL0Ho0tP4dynOnT6J6kdEhFR3mIyclllZSWKisJPzR1pBUdKre+Zno38godl2w7Z9l3SzebTBqA/AO0fvSg8eQ7+L1+DrrIrQvu3/vS70gLXyI63vl32hHxbShRXSbbl07trNBtlr2cfEiKllP5e1dfXo76+Puy+zs40TiQWgLJOqIFkBZJ6TEYua2pqgl6vVzsMSjFNbz+0bx/GiDMX4F86E12nroheiIjySqQvoB6PBwaDIT2B5NFoGs4zQnlDI/aidPtBDG+7iLZbZ6Hn6hK1QyIiIrBmhPLEMLEbZeIeFFzoQZvxGvSVjlY7JCKiyDiahihDTI2y/ynZtnzpl+NAwZhOlH1tDwDgzMFF6H8tfN8gABj//AnJ9tkfT5a+YME46fZHsm24JFsajXweEs4zQpRqOfN7xWYaotwwvKQD45fuhtg/DGffXoj+vqETESIiUgdrRihnjbiiHWU37UXfhSK0vTsPgZ4RaodERBS7PKoZYTJCmU02nTtelE2vPkk2P3vbpX9GTvZB+/UD6P2sGG1vzoXYe/mjXiU73m+km2d/JGuWmSB7/UfyobyHZNvXy7Z3yLbjq5nh0F+iPMZkhCh7jZrxObQ3HUT3iVK0vX0N0F+gdkhERPFjMkKUnYpmfYqSGw+j03sFzr07CxDZLYqIKNMxGaGcMUY4jrG6I7h4YBLadwgAuOIdEWWxWNameb0eeCP8bLHoSeNssQoxGaHMJu+zAY9089RXAYgYqz+JMbrP0PHhDHR8OA1fJCLvSl+/5qvS7TGyw8u7dPw+vnAB+VDeyKL1CWEfEaI81o/oTS3G1Zce4bR6gB+nabZYhZiMUJYTMe6GTzB69lm075yMi/unqx0QERHFickIZa9hIrRfO4JR0/049940dB4er3ZERETJww6sRBmuQETp10WMnHQObW+Xo/uYVu2IiIiSi8lI/qmsrERRUfg5ICKt4EhpduMd0BT0oUy3F8OLLsC3bSJ6To1EaJr1G2XTs/9JNi+JvI/ITbLtrmgByKd/l81zgs9k21fKtqXz1cfbJ4TzjhClXn19Perrw3cK7ezMnk6h2YTJyGVNTU3Q6/Vqh0FRDBveg7KZe1FQ2A3foQXoPXVR7ZCIKMdE+gLq8XhgMKSpUyhrRogyT8GwLpTN3gPNsADOHlyAvq4xAJiMEFGO4qq9RBniV5f+GV5yEWWmPRALhuHsHxei/+Koyy+QNZP8SX4Ao3Rzhmz387LtNlmzzqCxvkdk29GqbOXl5csKS3GoLxHlIyYjlPFGjD+PUuNeBDoL4dsxH4HuQrVDIiJKPTbTEGWGwonnUFqxD33+0fC55kIcw5V3iShPMBkhUt+fvWdRajqA3tMlaHtrDsS+gsGjYYiIclUs08FHK58lmIxQRnrrwGf4F9dBdJ8ZD7/nGmDs5QXv2g5FKSkfevuqdNN1h3S7VD40V74td0K2LZ/+XT6UN75hgOwTQkT5iEuaUsZ5afdJ/NR5ELdeOxH+HdcCAX5MiSgP9SfhkSX4V54yhiiK+O2OY7C/7cW3Fk3GDytmAiJX3iWiPBXsM5LoI4uSETbTUEYIBET88t1WbNt1Et++YTrMi6dAo2EiQkSUD5iMkOr6AyL+7c1DePPAZ3hgqQ53Lpz0xc5BfUTk0623y7bls+jOivz6QfOKeGTbXw0T8UDyVYLl8Y2NUj65OF08UQ7haBqi9OjpC+DJNz7Gn1t9eNA0G1+/Rt4BlIgoTzEZIUq9zp5+PP7KPuw72Y4f3zkHS2aUqR0SERGpgMnIZVy1N73au3qx4YW9ON7WiUfvnY/5k0vCvk4U5c0s0m2Npk62Xz6UVt4ME23ormzo76Bmmx1Ryi+QbR+WbIliTZTyyrBZhki5jFm1N5Z5Rj6ov/QIWz57VhhmMnIZV+1Nn7Md3Xhk2174O3uw6b4FmHllsdohERGFZNSqvdGaWhauvvQI57QH+J80xaoQkxFKq1PnOrHu+T3oD4jYvGwhppaNVjskIqLMxD4jRMl35MwFrNu2B6MLC7Bp2QJcOXZU9EJERJTzmIxQWhz4tB0bX9iHK8eNxMZ75kE7OraVd+VDVeXTrcv7YGg0z8leLx9qe162LR96+5RsW94HRD6U96hsWzo9fLr7cHBoL1EOYc0IUfJ8cKwNj7+8HzOvLMa6u+ZizEh+7IiIouJCeUTJ8d7hM6h7/WNcN1WLNXdci1EjCtQOiYiIMgyTEUoZ577T+Pc3D+Frsybg74yzMbyASyEREcVM6WJ3bKahfPe7D47jl388gjsWXIUHbtZh2LDE1pmR93mQ94nQaJ6Rvf57sv3SPhyD5yGJNuOrfJ4SaR+UTOuTkWnxEJEC7DNClBhRFPFf7x/F1ubjWL54Cv7qhulc8I6IiCLK2GTE4/GgtrYWgiDA7/fDZDKhqqoqprJ+vx+1tbUAAJvNlsowaYBAQIT9HS9e+egUvv/VGVimn6J2SERE2Ys1I+ryer0wGAxwu92hWVF1Oh18Ph+qq6sjlnW5XLDb7XA4HFFfS8nT1x/Av7gO4Q+HPsf/u3Umbpt3ldohERFlN46mUZfFYoHRaJRMz261WmGxWKImGEajEUajkU0DadTV2w/bawfwwTE/ar5xLb46c0LKzhW9D0nkeTYGz1sinydETjovSfTjSbEPBxFRdBk3vMHv98PlcsFkMkmeX7x4MQCgoaFBjbBoCBe6+7Dhhb346Pg5rL97bkoTESKivBLAFyNqEnkEIh/e4XDAYDBAo9HAYDDA5XINeo3H44HZbA5VCDgcjiS9OamMqxlpbm4GAAiCIHk+WEvidDpT0vzS0dGB9vb2hMuPHDkSI0eOTGJEmc9/sQfrX9iL0+1deOxb8zFn0ji1QyIiiqi7uxvd3d0Jl+/o6EhiNFH0QVlTS4SydXV1cDqdsFgsaGlpQV1dHUwmE5xOJ4xGIwBlXSbilXHJiNfrBQBotdqI+5Nt6dKlisqvX78eGzZsSE4wWeCz811Y9/weXOzpR+2yhSifMCYt59Vo6pJ6vGjNLoOnm8+u6dazLV6iVKutrcXGjZGbVzNGCjuw7ty5E06nM7S9YsUKGAwG2Gy2UDKipMtEvDIuGWlpaQEAlJWVhd3v9/tTct63334b1113XcLl86lW5HjbRax7fg8Khmlgq1yIq7VFaodERBSTtWvX4sEHH0y4/K5duxR/eVWby+UaNNJUr9dDr9eHvvAHu0zIXzewy0QyE5KMS0Z0Oh0AwOfzhd0vb75JluLiYowbx2aGaA5/1oENL+xFSdEIbLx3HiYU508SRkTZT2mTenFxcRKjiaK3B+hMvPsAusM3KQVrPsIJ3mPT3WUi45KR4BsfqgYkVckIRbfnxDk8+tI+TCktwoZ75mHcqBFqh0RElLuO/wo4lb5BG16vFxaLJfR/IH1dJjIuGQlWAcnfaHDbYDCkPSYCdh7xofaV/ZgzaRx+fOdcFBWmZ8E7pUNn4+8zEbnJKXofk8zqk5Fp8RBRHCZ9H5j5ROLlO3YBH8TWpORwOCAIQqi2I91dJjJuaK9Wq4Ver5d0rAEQGnK0fPlyNcLKa28f/Bw/eXk/DNNLsf7ueWlLRIiI8ppYCGCcgkfsTUq1tbVobGwMbae7y0TGJSMAsGXLFrhcLkntiM1mg81mC1UZeb1e6HS6sOOiU9XJNR+98tEp/NMbH+Prs6/AmjvmoHB4Rn5kiIhyT18SHjGwWq3YsmWLJMFId5eJjGumAS51kHG73bBarRAEAV6vF1arVdJZxu/3w+fzDbpQHo8HdrsdALB161aYTCYYjcYh270oPFEU0dh8HL95/yju+dLV+MHXyhNeeZeIiDJTQ0MDTCaTZPgukP4uExmZjACXEpKBVUbh9re1tYV93m63hxISip8oivjVu0fwuw9O4C+/PA0rlkxVbXp9pX1C4u0zIZ9XJPrr2SeDiFIkxWvTBGdTlY+u8Xg8oaG+TqcTNTVf/F1MVZeJjE1GSB2BgIh/f+swnPtOo/pmAXd/6Wq1QyIiyk/B6eCVlB+Cy+VCbW0tLBaLZJkVt9sNg8EAvV6PLVu2wGAwwOv1hppl5F0mkoXJCIX09AXwT298jPe9Z/GgaTZuufZKtUMiIqIk83g8ofXfgkN5Bwq2OsTSZSJZmIwQAKCzpx+bXtmPvSfP4R++OQdfFsarHVJWyPShvUSUxVI0Hbxer4coijEdIlqXiWRhMkI439WLjS/uw7GzF7HhnnlYOEWrdkhERJTChfIyDZORPOe70IN12/ag7UIPHr9vPmZNHKt2SEREBKS8A2smYTKSx063d+HHz+9Bb38AtsqFmFo2Wu2QiIgoDzEZuayyshJFReGnAl+9ejVWr16d5ohS69jZi/jxtj0YNXwY6ioX4spxo9QOKSFq99FQen72OSHKPPX19aivrw+7r7OzM32BpHA0TaZhMnJZU1PToElfctXHn57Hhhf24oqxI/HovfOgHV2odkhERBkj0hdQj8eTvjXSUtSBNRMxGckzuz7x4/GX96F8whg8cvc8FI/kR4CIiNTFO1Eeea/lDJ54/WN8aYoWa+64FqNGcME7IqKMxZoRyjWufafxb28ewldmTsCDptkYUcAF7zIB+4gQ0ZCUjobhaBrKJNt2ncDTf2jFN+ZfhVVLdVzwjoiIMgqTkRwmiiL+Z8cx/HbHJ6jUT8Z3vzJDtQXviIgoTv0AlPzJZjMNqS0QELHlD168tPsUvvuVGagyTFE7JCIiikcsyURPPdAbfhgyxDQOQ1aIyUgO6usP4GfbD+H3Bz/H6ltm4hvzr1I7JCIiSoXC1Zce4fR7gItpGoasEJORHNPd14+61z6G+2gbHr79Gtw06wq1QyIiokT0A4htPbvwOOkZqeFiTx8ee2kfDp7uwLq75sAwvUztkIiIKFF9UNZnREkik2ZMRnLEuc5ebHxhL074O/HYvfMx9+pxaoeUFzidOxGljNIOrExGKJ3OdHRj3fN70NHdh9plCyBcUax2SERERDFjMpLlTvg7se75PdAA2Fy5EJO14Rf7IyKiLJRFtRtKMBnJYt7PO7D+hb0YO2o4Hr13PiYUj1Q7JCIiorgxGbmssrISRUXhaxUireColr0nz+HRF/fham0RNtwzDyVFI9QOKS+xjwhR7qmvr0d9ffi5Ozo7s2fujmzCZOSypqYm6PV6tcOIifuoD5teOYDZE4ux7q65GF3IHyMRUbJE+gLq8XhgMGTH3B3ZhHexLPPOwc/xU+dBGKaXouYb12DkcK68S0RE2Y3JSBZ5bc8p/MfvW/D12VfghxWzMJwr7xIRUQ5gMpIlHO7j+M/3juCuhZOw8iaBK+8SEeW8PgC9CstnByYjGU4URTzz3hE85zmBv7h+Gv7i+qlceZeIKC/0QVlCwWSEkiAQEPEfvz+M1/eexv03lePe6yarHRIREVHSMRnJUL39AfzUeRDvHT6Dv62YBePciWqHREREacVmGlJRV28/Nr96AB8e92PNHXNwo2682iEREVHa9UNZQtGfrEBSjslIhuno7sOjL+5F65kLWH/3PFw3Vat2SEREpArWjJAK/Bd78Mi2vfj8fDcev28BZk8cq3ZIREREKcdkJEOcbu/Cuuf3oLsvAFvlQkwbP1rtkIiISFWx1Iw8A+DXQ+zrSmo0qcRkJAMcO3sRj7ywB8OHDUNd1UJMHDdK7ZCIiEh1sfQZ+avLj3D2ALg7qRGlCqfwVNmh0+ex5rndKB45nIkIERHlJdaMqOij4+fw2Ev7MG38aKy/ey7GjuLKu0REFMQOrHmnsrISRUVFYfdFWsExUX/2noXttQOYd3UJ/vHOORg1ggveqUGj2SjZFsX1KkVCRJmivr4e9fX1Yfd1dnamMRIO7c07TU1N0Ov1aTnXWwc+w7+4DuIG3Xj8vekaFA5naxkRUaaI9AXU4/HAYDCkOaLcx2QkzV788CQa3vHCNHci/uaWmVzwjoiIhsBmGkoyURTx252f4H/+fAz3LZqM7391Bhe8ywBsliGizMWF8iiJAgERv/hjK1748CS+feN0mA1TmIgQERFdxmQkxfoDIn62/RDe+vgzrPq6Dt9cMEntkIiIKCuwmYaSoKcvgCdeP4AdR9rw97ddg6Wzr1A7JCIiyhocTUMKdfb04ycv78P+U+348Z1zsGRGmdohETiUl4iyCWtGSIH2rl5s2LYXx/2dePTe+Zg/uUTtkIiIiDIWk5EkO9PRjfXb9uJcZy9qly2A7opitUMiIqKsxGYaSsBJfyce2bYH/QERmysXYEopV94lIqJEsZmG4tR65gIe2bYHowsLsGnZAlw5lgveZSL2ESEiyjx5Pw95T0+P5N9E7D/VjrXP7UbZmELYKhfmTSLS3d2NDRs2oLu7W+1QshKvX+J47RLHa6dMMu4ZsQs20yT6yJ5mGiYjCj9YnmNtWPf8HpRPGINN9y2AdnRhMsPLaN3d3di4cSP/qCWI1y9xvHaJ47VTJr3JSLCZJtEHm2myzne+8x2MHh2+j8dQiya9e/gMnnj9YyyapsWaO67FyOFceZeIKNtFWrX34sWLaY4mmlcBvDbEvnQkTMnBZOSyX//617j55ptjfv0bez9F/VuHcdOsK/Aj4ywML8j7SiYiopwQadXed955B0uXLk1TJLF0YDVefoTTCmBtUiNKFSYjCXjOcxy/evcIvrlgEiw3C1x5l4iIUoAL5VEYoijiN+8fRWPzcSxfPAV/dcN0LnhHRESkEJORGAUCIp56pwWvfvQp/vprM3Dfoilqh0RERDmN84zQAH39Afyz6yD+eOgMflgxC6a5E9UOiYiIch5nYKXLunr7sfnVA/jwuB/Wb1yLr8ycoHZIRESUF/KnZoRDQCK40N2HDS/sxd6T5/DIXXOHTESGGgIWq2wvr+a5s728UkrOr/Z7z+Zrlwvl1Tx3tpen5GMyMgT/xR6sfe4jHDl7AY99az4WTSsd8rVq/2KoXV7Nc2d7eaWYjKh3/mwvr+a5s718+uTPDKwZ20zj8XhQW1sLQRDg9/thMplQVVWVsnIDfXa+C+ue34OLPf3YvGwhZkwYk+jbICIiSlD+NNNkZDLi9XphMBjgdruh1+sBADqdDj6fD9XV1UkvN9DxtotY9/weFAzToK5qISaVFCl/Q0RERDSkjGymsVgsMBqNoYQCAKxWKywWS0rKBR3+rAPWpt0YXTgctkomIvlg//7PodFsDD2IiDJH/jTTZFwy4vf74XK5YDKZJM8vXrwYANDQ0JDUckGtZzvxD899hInjRqG2cgHGF49M9C0QERElQf4slJdxyUhzczMAQBAEyfPB2g6n05nUckG//NMnmH1VMR7/1gKMGzUi/sCJiIgoIRnXZ8Tr9QIAtFptxP3JKtfV1QUAKOk8iVu1Pux8/904or3kwoULeP/991FYWBh3WQDo7OyEx+NJqKya5Ts6OgAAu3btQnFxcVrPnazyl745nAxtxXssJedX+/qpfe2z+dplc/l8v3Y9PT24cOEC3nnnnYTKf/jhhwC+uHek1qdQVrtxJlmBpJ6YYWpqakQAotvtHrQPgCgIQlLLPfPMMyIAPvjggw8++Ij58cwzzyi72UVw9OhRcfTo0UmJc/To0eLRo0dTFmuyZFzNiE6nAwD4fL6w++XNMErL3XnnnXjmmWcwadIkjBo1Kt5wQwoLCxOuGSEiovTo6elBT09PwuW7urpw6tQp3HnnnUmMSmratGnYv38/zpxRXrMxYcIETJs2LQlRpVbGJSPBpMHv90fcn6xyEyZMwHe/+934giQiIkqhadOmZUUSkSwZ14E1OPpF3scjuG0wGJJajoiIiNSVccmIVquFXq8fNPrF5XIBAJYvX57UckRERKSujEtGAGDLli1wuVySWg6bzQabzRYaLeP1eqHT6ULJRqzliIiIUm2oEZwUXsb1GQEuzQ3idrthtVohCAK8Xi+sVqtkSne/3w+fzyfpIyIv53a7odVqcfbsWVgslrSub5PtlFwDv9+P2tpaAJeSwXyU6PVzOByora2Fx+OBXq+HzWaD0WhMQ8SZIxnXThAE2O32vLt2QHL+frlcLpjNZrS1taUoysyk5NppNBrJdvB+RDFSezhPqrS0tIiAdKivIAii3W5PSblcouQaOJ1OsaqqSgQgVldXpzLMjJXo9bPZbKLRaBTtdntoqDoA0el0pjrkjJHotbPb7WJ1dbXodDpFp9Mp6vV6EYDY0tKS6pAzSrL+fgmCIGq12mSHl9GUXLvg589ms4Ue4aaZoKHlbDJiNBpFo9Eoec5ut4vR8q9Ey+WSZFyDfE5GEr1+VVVVkm232y0CGHSsXJbotbPZbJLt4LVrbGxMeoyZLBm/uzU1NaLRaMy7ZETJtcun39FUycg+I0qptb5NLuA1UCbR6+dyuQY1aen1euj1+rxpe1by2aupqZFsB/uIDVw0M9cl43fX5XJh/PjxeXXdAGXXzuFwoLm5GWazmX8fFcjJZESt9W1yAa+BMoleP6PRGHUOnVyXzM+ew+GAzWbLm2sHJOf62e32QYldPlBy7ZxOJ/x+PxwOBywWC0pLSyUDKyg2OZmMpHt9m1zCa6BMsq+f1+uF2WxWGlZWSNa1s1qtoU6I+UTp9bNarXnb4VzJtbPb7RBFEW63G9XV1aGOr/xbGZ+cTEZaWloAAGVlZWH3DzVLa6LlcgmvgTLJvH4OhwOCIEhGkeWyZFy7uro6eL1e+P3+vKs2V3L9PB4Pxo8fn3cJXFAyPnt6vR52ux2NjY0ALiV3FLucTEbSvb5NLuE1UCaZ16+2tjb0hy0fJOPa1dTUoLGxEU6nE1qtNq++6Su5frW1tXnZPBOUzN/bqqoqVFVVKVxNPP/kZDKS7vVtcgmvgTLJun5WqxVbtmzJq+udzM+e0WhEdXV1XlWVJ3r9rFZrqFlh4AOA5P+5LNl/90wm05CJDYWXkZOeKcX1bRLHa6BMMq5fQ0MDTCZT3o1oSPZnb8mSJXmVzCV6/VwuF+rq6sLu0+l0eTF5Vyr+7gWPSbHJyZoRrm+TOF4DZZReP4fDAQCDZg7NhyrfZH/2vF5vXs3Amuj1c7vdEC/NORV61NTUQKvVhjpm5rpkf/acTicsFkvS4ssLak5ykkrBSY8GzsAoCIJkcqSWlhZREATJDJexlMt1iV67oLa2trye9CzR6xecOdRut0se1dXVeTMDcCLXrq2tTayqqpJMcNbS0pKXE1Ep/d0NqqmpybtJzxK5dm63W9Tr9ZLXNDY25u3fPiVyspkGSN76NuHK5bpErx1w6Ru83W4HAGzduhUmkwlGozGvFipM5Pp5PJ7QhEvhvlHlyxohiVw7rVYLv9+PlStXwm63w2QyQRCEvJwTR8nvbr5L5NoJgoCysjLU1tbC6XRCr9fDZDKF/gZS7DSiKIpqB0FERET5Kyf7jBAREVH2YDJCREREqmIyQkRERKpiMkJERESqYjJCREREqmIyQkRERKpiMkJERESqYjJCREREqmIyQkREOSkfVhzOFUxGiIgoJ5nNZk57nyWYjBAR5QGr1QqNRgONRoPS0lKUlpYOua3RaLK+VsHj8UAQhNC6WMG1Zga+57q6utDrXS4XdDpdaF9wxV5KDyYjRER5wO/3w2g0oq2tLfQwGo0AgC1btqCtrQ2iKMLtdoden83sdrtk0UlBEGCz2VBVVQUAMBqNqKmpCe03Go3Q6/XQ6/WSa0PpwWSEiChP2O32qCto6/V6yU06W7lcrrAJxdq1a0P7B3I4HPB4PKFkjNKLyQgRUR4wmUwQBCGm11oslqhJSyZzOBxD1mwEaz/8fn8oIfF4PLBarXA6nekMkwZgMkJElAeCzROxEAQBgiDA4XDAZDLB5XKhoaEBpaWlsFgscDgcoT4mHo8HwKWaBrPZDI1GA7PZLDmex+OB2WyGyWSCTqeD1WpN6nuTe/bZZyVNNHLBfXa7HX6/H2azGY2NjTEna5R8TEaIiGgQh8MBq9UKl8uFxsZGtLS0QBAENDc3o6qqCsuXL5e83mg0wmazDTpOsNahsbERTqcTNpsNdXV1EZOFgeWCCVCQ2WxGaWnpkB1s/X4/vF4v9Hr9kMcOxu5wOFBRUQGbzRbx9ZR6TEaIiGiQqqqqUBKg1Wphs9ngdrtDfSrCNeOUlZUNem7lypWSJKWqqgparRYNDQ0RO8nq9XrYbDYsXrwYDQ0NAC7VaFgsFthstiFrMbZu3YoVK1ZEfG9arTZUUyQIQly1RpQaw9UOgIiIMlMw4ViyZElC5b1eLzweD2pra8Pub25ujjpqxWw2w+VywWKxwGq1Rm1Ksdvt2L59e9TYgscJNjOFY7FYoNPpcPbsWSxZsoRJSwoxGSEioogS7cwavNE3NjYmfO5gsqLVaqMmIl6vF2VlZVHjdTgccLlcEAQhlDDJm2nMZjMEQQiNLDIYDNBqtRzymyJspiEiopQI9utQMoFaMAGJ5RjyuUXCCfZF2b59u6Qj60BerxcOh0NyrBUrVoTtE0PJwWSEiIhSIphIOByOsPtjmeXUarVCr9dHbE4JcjgcEZtSBo6c0Wq1qK6uBoBQn5Sg4LkG1sTo9Xq4XK6snwwuUzEZISLKcz6fL+4y48ePByCtsQj+P3jDDjZpWK3WQcmEPAEIJzi02GKxwOv1RqxpGWqSs4EqKipgt9tDTTIDO7IOTJh27tw5qKkn2Dk3kWtF0TEZISLKU/LkQS74fLj9wRt6cPhvQ0NDqLnD5XLBZDJBq9VK+lyYzWbU1dXBZDKhpaUlbPLg9XpRV1cHh8MBn88Ho9EYep3dbkddXV3YUTvRmmiCk77Jz2kymQBA0snW7/eHPUcwPkoBkYiI8orT6RSrq6tFACIAUavVijU1NWJLS0voNY2NjaIgCCIAURAE0W63DzqOzWYTtVptqLwoiqIgCGJNTY3odrslr4t2rIHnHXi8oKqqKlGr1UqOO5AgCEO+14HnbmxslJxLr9eHrkNVVZXodDpD72sgt9stApBcI0oejSiKonqpEBERkTLBOUuStaaOw+GA2WzGwNtjsLaHt8zU4NBeIiLKarHOLRKrYBOU1+uVzEfCWVpTh31GiIgoa8U6t0g8grOyDuzU+uyzz3JobwqxmYaIiLKW1WpN2eyoA2dg1el0oaHAlHxMRoiIKGsF5w2h7MZkhIiIiFTFPiNERESkKiYjREREpComI0RERKQqJiNERESkKiYjREREpComI0RERKQqJiNERESkKiYjREREpKr/H/KxkZjsXiZJAAAAAElFTkSuQmCC",
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",
       "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
+       "<Figure size 1200x900 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -268,16 +261,14 @@
     "    y = found[\"ideal_state_9410_y\"]\n",
     "    qop = found[\"ideal_state_9410_qop\"]\n",
     "\n",
-    "data = ak.zip(\n",
-    "    {\n",
-    "        \"rad_length_frac\": rad_length_frac,\n",
-    "        \"x\": x,\n",
-    "        \"y\": y,\n",
-    "        \"tx\": slopex,\n",
-    "        \"ty\": slopey,\n",
-    "        \"qop\": qop,\n",
-    "    }\n",
-    ")\n",
+    "data = ak.zip({\n",
+    "    \"rad_length_frac\": rad_length_frac,\n",
+    "    \"x\": x,\n",
+    "    \"y\": y,\n",
+    "    \"tx\": slopex,\n",
+    "    \"ty\": slopey,\n",
+    "    \"qop\": qop,\n",
+    "})\n",
     "lin_reg, features, xx0_test, xx0_predicted = fit_linear_regression_model(\n",
     "    data,\n",
     "    \"rad_length_frac\",\n",
@@ -310,12 +301,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1500x600 with 3 Axes>"
       ]
@@ -383,14 +374,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 1200x900 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -430,7 +421,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -439,17 +430,17 @@
      "text": [
       "Parameterisation for rad_length_frac:\n",
       "intercept= 0.0\n",
-      "coef= {'1': 0.2484410418213911, 'x': -0.0007601095488043627, 'y': 0.0010569724392146917, 'tx': 0.6185505303064777, 'ty': -0.9394058560136732, 'qop': -9.741031889614183, 'x^2': -0.00016580416280366622, 'x y': 5.149038989659081e-05, 'x tx': 0.22996768886351043, 'x ty': -0.043161009059129354, 'x qop': -0.21658279194428842, 'y^2': 3.9826067539320166e-05, 'y tx': -0.033498957247677735, 'y ty': -0.08085122767618998, 'y qop': 0.06428923004582791, 'tx^2': -83.06687438225835, 'tx ty': 28.76266798578089, 'tx qop': -0.32072666519746007, 'ty^2': 32.80290436519906, 'ty qop': 0.29785759094660047, 'qop^2': 0.7177557091128425, 'x^3': -1.037888276319177e-06, 'x^2 y': 5.744977724613286e-07, 'x^2 tx': 0.0016261562680787358, 'x^2 ty': 0.00819223051446815, 'x^2 qop': 0.014940216048602184, 'x y^2': 1.55836456652794e-06, 'x y tx': -0.009042353485603404, 'x y ty': 0.002769481233443616, 'x y qop': 0.007035099510620806, 'x tx^2': -0.623629094925692, 'x tx ty': -0.5792857627094614, 'x tx qop': 3.819052794399519, 'x ty^2': -1.214138821848195, 'x ty qop': -4.179406422119741, 'x qop^2': -0.11723833703778899, 'y^3': -2.1060731703048674e-07, 'y^2 tx': -0.005136952674035623, 'y^2 ty': 0.0002523550890177065, 'y^2 qop': 0.020199755591199943, 'y tx^2': 0.8881296792413045, 'y tx ty': 2.1057062787476855, 'y tx qop': -4.322557205912296, 'y ty^2': -0.062185778412248593, 'y ty qop': -12.744670929978815, 'y qop^2': 0.10865361350283592, 'tx^3': -0.2772083890350773, 'tx^2 ty': -0.002155259913110253, 'tx^2 qop': 0.01973183125611695, 'tx ty^2': 0.2547275714314975, 'tx ty qop': -0.01267461996128659, 'tx qop^2': -0.0002315355231400779, 'ty^3': 0.12852489701010045, 'ty^2 qop': -0.03229168715651398, 'ty qop^2': 0.0001733290594162183, 'qop^3': -1.1131786479856305e-06, 'x^4': 1.4072631948636172e-09, 'x^3 y': -4.525309382774623e-08, 'x^3 tx': -5.048150129027817e-07, 'x^3 ty': 2.845994251238215e-07, 'x^3 qop': 6.161442924141475e-05, 'x^2 y^2': -1.8614020325102842e-08, 'x^2 y tx': 9.737839179148333e-05, 'x^2 y ty': -1.3038804363763035e-05, 'x^2 y qop': -8.415032085912991e-05, 'x^2 tx^2': -0.0010152847281566686, 'x^2 tx ty': -0.0032259545758118137, 'x^2 tx qop': -0.041785493301881166, 'x^2 ty^2': 0.013227443641328787, 'x^2 ty qop': 0.0035654519670473366, 'x^2 qop^2': 1.2621531315710728, 'x y^3': 3.906278722709544e-08, 'x y^2 tx': 6.858475435222999e-05, 'x y^2 ty': -5.862278080592809e-05, 'x y^2 qop': -0.00016236412225426912, 'x y tx^2': -0.06608751351613794, 'x y tx ty': -0.04864228625905696, 'x y tx qop': 0.06901548261804959, 'x y ty^2': 0.04159526642181612, 'x y ty qop': 0.28489071089527757, 'x y qop^2': 0.2535927965752249, 'x tx^3': 0.5018159233398294, 'x tx^2 ty': 0.9699678165589771, 'x tx^2 qop': 0.4741265130417677, 'x tx ty^2': 10.315681588678894, 'x tx ty qop': -0.22617149043686857, 'x tx qop^2': 0.00898570789717606, 'x ty^3': -12.737405175272935, 'x ty^2 qop': -0.014062351992903526, 'x ty qop^2': 0.005154120346378951, 'x qop^3': -4.609067543005094e-05, 'y^4': 9.455609628616912e-09, 'y^3 tx': -2.99210479094425e-05, 'y^3 ty': -2.583154312318925e-05, 'y^3 qop': 5.980622324156491e-05, 'y^2 tx^2': -0.016833583405836638, 'y^2 tx ty': 0.02458057322196644, 'y^2 tx qop': -0.169419352054439, 'y^2 ty^2': 0.02331391517451325, 'y^2 ty qop': -0.04589466917231106, 'y^2 qop^2': -1.206224538163147, 'y tx^3': 15.19059646701743, 'y tx^2 ty': 5.490478536183617, 'y tx^2 qop': -0.25278933198832354, 'y tx ty^2': -3.577260288354769, 'y tx ty qop': 0.03161480393545275, 'y tx qop^2': 0.005952281392129449, 'y ty^3': -6.821531531863169, 'y ty^2 qop': 0.09776598757839021, 'y ty qop^2': 0.0023614626852912395, 'y qop^3': -1.973415862163393e-05, 'tx^4': -0.05310859403428924, 'tx^3 ty': 0.023505514315239354, 'tx^3 qop': 0.0021762610547612377, 'tx^2 ty^2': 0.04763359558524625, 'tx^2 ty qop': -0.0009428124122745564, 'tx^2 qop^2': 1.2893218326397415e-05, 'tx ty^3': -0.018754843662608302, 'tx ty^2 qop': 4.8170564904883127e-05, 'tx ty qop^2': 1.6878183944633644e-05, 'tx qop^3': -4.12730477319448e-08, 'ty^4': 0.013919613173737298, 'ty^3 qop': 0.00022052138073417403, 'ty^2 qop^2': 9.713683885787424e-06, 'ty qop^3': -5.4325325107576684e-08, 'qop^4': 1.3416430509507416e-09, 'x^5': 2.37521113888306e-11, 'x^4 y': 6.566414079145488e-11, 'x^4 tx': -3.448894636548516e-08, 'x^4 ty': 4.817853991312404e-07, 'x^4 qop': -2.777657812425005e-06, 'x^3 y^2': 6.322311563167204e-10, 'x^3 y tx': -6.301214341419836e-07, 'x^3 y ty': 5.610926190335874e-06, 'x^3 y qop': 1.114123449319493e-05, 'x^3 tx^2': 1.3140964452713899e-05, 'x^3 tx ty': -0.0006698763738434144, 'x^3 tx qop': 0.004955643949611535, 'x^3 ty^2': -0.00020626810552818679, 'x^3 ty qop': -0.008992879337357176, 'x^3 qop^2': -0.01489312550273759, 'x^2 y^3': -1.0491474355944774e-10, 'x^2 y^2 tx': -7.058621529054676e-06, 'x^2 y^2 ty': 1.8916574067162628e-06, 'x^2 y^2 qop': 1.7843819655416482e-05, 'x^2 y tx^2': 0.0007719987709393639, 'x^2 y tx ty': -0.008372751086851777, 'x^2 y tx qop': -0.0094662761279594, 'x^2 y ty^2': -0.003982741017285164, 'x^2 y ty qop': -0.014247815997652827, 'x^2 y qop^2': -0.0933449616547058, 'x^2 tx^3': -0.00211924986590092, 'x^2 tx^2 ty': 0.1354990398386329, 'x^2 tx^2 qop': -2.4034242614405197, 'x^2 tx ty^2': 1.709794803412642, 'x^2 tx ty qop': 2.929391659772189, 'x^2 tx qop^2': -0.12899963468243164, 'x^2 ty^3': 0.41237245103458525, 'x^2 ty^2 qop': 0.9459129147227289, 'x^2 ty qop^2': 0.6716348674023994, 'x^2 qop^3': 0.0065213742878363744, 'x y^4': -3.1660363219998544e-10, 'x y^3 tx': -1.6554844943783564e-06, 'x y^3 ty': -1.8566065946856725e-06, 'x y^3 qop': -9.75035823502779e-06, 'x y^2 tx^2': 0.009680843788897421, 'x y^2 tx ty': 0.004952813049497684, 'x y^2 tx qop': -0.016925260798516226, 'x y^2 ty^2': 0.003475670476866588, 'x y^2 ty qop': 0.01417176786308785, 'x y^2 qop^2': -0.01761212366224941, 'x y tx^3': -0.15192958327351774, 'x y tx^2 ty': -0.060788822811239596, 'x y tx^2 qop': 4.3726462974483224, 'x y tx ty^2': 0.253839828387595, 'x y tx ty qop': 2.515358567018165, 'x y tx qop^2': 0.7384529496261274, 'x y ty^3': -1.4590050438376516, 'x y ty^2 qop': -4.598361895076147, 'x y ty qop^2': 0.31170679839759735, 'x y qop^3': -0.01024453299524337, 'x tx^4': 1.0757508065772434, 'x tx^3 ty': -1.6800363456087655, 'x tx^3 qop': 0.025130628317134973, 'x tx^2 ty^2': 1.1790180726236092, 'x tx^2 ty qop': 0.013852458993079927, 'x tx^2 qop^2': -0.0004548226751025624, 'x tx ty^3': -0.0007529047666109905, 'x tx ty^2 qop': 0.007719696430873407, 'x tx ty qop^2': 0.0018986412331720088, 'x tx qop^3': 7.660654451074145e-06, 'x ty^4': 1.3495131383656807, 'x ty^3 qop': -0.027518299643244655, 'x ty^2 qop^2': 0.0007835380395695195, 'x ty qop^3': -1.7215942880021808e-05, 'x qop^4': -4.814887567180262e-08, 'y^5': 1.1069811733932511e-11, 'y^4 tx': 2.5401641039479728e-06, 'y^4 ty': -3.659565095404105e-08, 'y^4 qop': -8.233519552314217e-06, 'y^3 tx^2': -0.0011440038498780267, 'y^3 tx ty': -0.003958853981003943, 'y^3 tx qop': 0.0019569523522222627, 'y^3 ty^2': 4.620362246071652e-05, 'y^3 ty qop': 0.013501593121770603, 'y^3 qop^2': 0.00013943149170339843, 'y^2 tx^3': -1.930662753166049, 'y^2 tx^2 ty': -0.6244835760091016, 'y^2 tx^2 qop': 9.706592754727314, 'y^2 tx ty^2': 1.567415053011399, 'y^2 tx ty qop': -1.8692848199146312, 'y^2 tx qop^2': 0.2576730572143735, 'y^2 ty^3': -0.02555256934016916, 'y^2 ty^2 qop': -5.570585900979827, 'y^2 ty qop^2': 0.4524728269219666, 'y^2 qop^3': -0.0012165533583740602, 'y tx^4': -1.705633938705921, 'y tx^3 ty': 0.9697939146444974, 'y tx^3 qop': 0.01417529417479696, 'y tx^2 ty^2': 0.24892206316288593, 'y tx^2 ty qop': 0.02112066742630421, 'y tx^2 qop^2': 0.001983588330826661, 'y tx ty^3': 1.0027301725129028, 'y tx ty^2 qop': -0.019989975028401157, 'y tx ty qop^2': 0.000703255023993435, 'y tx qop^3': -1.7780249221490402e-05, 'y ty^4': 5.039018301955912, 'y ty^3 qop': -0.03181545636834986, 'y ty^2 qop^2': 0.0013016040850667482, 'y ty qop^3': -4.788925524502292e-06, 'y qop^4': 8.952440180633341e-08, 'tx^5': 0.009735740982675399, 'tx^4 ty': -0.013441638488465971, 'tx^4 qop': 0.00015663907591491764, 'tx^3 ty^2': 0.008836930257445317, 'tx^3 ty qop': 4.602358365785842e-05, 'tx^3 qop^2': -1.2528198912759552e-06, 'tx^2 ty^3': 8.384431822878086e-05, 'tx^2 ty^2 qop': 3.2449454369351206e-05, 'tx^2 ty qop^2': 3.870208943851117e-06, 'tx^2 qop^3': 1.1062889336368561e-08, 'tx ty^4': 0.008284216728547011, 'tx ty^3 qop': -8.101830871580909e-05, 'tx ty^2 qop^2': 1.3999083905485367e-06, 'tx ty qop^3': -2.8838718241492492e-08, 'tx qop^4': -7.302022445954643e-11, 'ty^5': 0.033986172363938666, 'ty^4 qop': -0.00011487779463878022, 'ty^3 qop^2': 2.8267877400850516e-06, 'ty^2 qop^3': -1.0303917259481338e-08, 'ty qop^4': 1.343104287668482e-10, 'qop^5': -5.690015320531571e-16}\n",
-      "r2 score= 0.01281806793978646\n",
-      "RMSE = 0.2644569540509028\n",
+      "coef= {'1': 0.24562140630345797, 'x': -0.0006147519300623754, 'y': 0.00013149294035773212, 'tx': 0.40993139584024857, 'ty': -0.17613130993997955, 'qop': -2.431621847221756, 'x^2': -2.537929422256502e-05, 'x y': 1.6503609236837168e-05, 'x tx': 0.014114349319941343, 'x ty': -0.015914217992780068, 'x qop': -0.3138750804691517, 'y^2': 8.004082295422125e-06, 'y tx': -0.0007103518977325451, 'y ty': -0.012102735170731998, 'y qop': -0.01613366131755978, 'tx^2': -1.1805199392607937, 'tx ty': 2.630285174738731, 'tx qop': 0.2259863956524285, 'ty^2': -0.9000770143303645, 'ty qop': 0.035317808178541486, 'qop^2': 0.506257028947111, 'x^3': -1.054613771280784e-06, 'x^2 y': -7.542919321773425e-07, 'x^2 tx': 0.0016046817739745617, 'x^2 ty': 0.0041420285105903745, 'x^2 qop': 0.021289920901612722, 'x y^2': 1.6630958165414549e-06, 'x y tx': -0.0029322410866066016, 'x y ty': 0.00026646565396820643, 'x y qop': 0.008117926325135527, 'x tx^2': -0.6007987905052633, 'x tx ty': -2.98887506065023, 'x tx qop': -13.962516223136573, 'x ty^2': -0.8388571705095013, 'x ty qop': -3.036359977877559, 'x qop^2': 0.055324587199241985, 'y^3': -8.030979246897996e-08, 'y^2 tx': -0.002767856037518542, 'y^2 ty': 0.00010106006074174414, 'y^2 qop': 0.0087584836303898, 'y tx^2': 2.52086358169213, 'y tx ty': 1.771954217213756, 'y tx qop': -3.4960101511969945, 'y ty^2': -0.02778479572722497, 'y ty qop': -8.306825049361231, 'y qop^2': 0.011633837171348742, 'tx^3': -0.1376005395953692, 'tx^2 ty': 0.08788148993360365, 'tx^2 qop': -0.03627295634145932, 'tx ty^2': 0.03876102551307681, 'tx ty qop': -0.008986008881728739, 'tx qop^2': 9.888031370307247e-05, 'ty^3': -0.3359335900376418, 'ty^2 qop': -0.02333508540052829, 'ty qop^2': 9.573184641700597e-06, 'qop^3': -4.597612275351735e-06, 'x^4': -6.108581640518196e-09, 'x^3 y': -6.564809273967853e-08, 'x^3 tx': 1.5150502404637223e-05, 'x^3 ty': 3.104184179880676e-05, 'x^3 qop': 8.671096332828199e-05, 'x^2 y^2': -7.650740829062697e-09, 'x^2 y tx': 0.00011735105575993998, 'x^2 y ty': -3.2175113096499786e-05, 'x^2 y qop': 6.774919445144169e-05, 'x^2 tx^2': -0.011724689654149013, 'x^2 tx ty': -0.043137944250594654, 'x^2 tx qop': -0.0234816944437721, 'x^2 ty^2': -0.015910369617829878, 'x^2 ty qop': 0.47749147066068204, 'x^2 qop^2': 10.59413029512916, 'x y^3': 3.234245482541809e-08, 'x y^2 tx': 5.3043264426122505e-05, 'x y^2 ty': -5.8168920071072217e-05, 'x y^2 qop': -0.00018640913107006996, 'x y tx^2': -0.06797789037420698, 'x y tx ty': 0.044976962291121, 'x y tx qop': -0.5074481714386293, 'x y ty^2': 0.03709689469083238, 'x y ty qop': 0.42061549746065124, 'x y qop^2': 5.878761197856953, 'x tx^3': 2.928172660629093, 'x tx^2 ty': 15.518053547545511, 'x tx^2 qop': -0.4179045108625407, 'x tx ty^2': 2.863496001226073, 'x tx ty qop': 0.03316794782068423, 'x tx qop^2': 0.011365298564370092, 'x ty^3': -8.111988620415804, 'x ty^2 qop': -0.21644263264392571, 'x ty qop^2': 0.00843273298050687, 'x qop^3': -0.00016877332507871679, 'y^4': 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qop^3': -1.6561432689863052e-07, 'ty^4': -0.051346978654440316, 'ty^3 qop': 0.0005598437003601672, 'ty^2 qop^2': -1.8064704330828996e-05, 'ty qop^3': 3.8598127279103275e-08, 'qop^4': 3.326704284195817e-08, 'x^5': 6.821222753305989e-11, 'x^4 y': 2.526661102564276e-10, 'x^4 tx': -1.251389993850438e-07, 'x^4 ty': 3.4387986458384034e-08, 'x^4 qop': 8.496537125812775e-06, 'x^3 y^2': 5.454374729652045e-10, 'x^3 y tx': -5.823518507419578e-07, 'x^3 y ty': 1.573480655436832e-06, 'x^3 y qop': 1.1149119954367848e-05, 'x^3 tx^2': 7.080646439604904e-05, 'x^3 tx ty': -0.00019832304528768704, 'x^3 tx qop': -0.013548718492619474, 'x^3 ty^2': -0.0011831441371068785, 'x^3 ty qop': -0.007475115795384159, 'x^3 qop^2': -0.05297421345055594, 'x^2 y^3': -3.0988589472258354e-10, 'x^2 y^2 tx': -2.827730114507432e-06, 'x^2 y^2 ty': 3.25980575599516e-06, 'x^2 y^2 qop': -1.1472914959842484e-05, 'x^2 y tx^2': 0.0005880138985921626, 'x^2 y tx ty': -0.00028281256289024864, 'x^2 y tx qop': -0.011299091385256742, 'x^2 y ty^2': -0.0028883860783337767, 'x^2 y ty qop': 0.015857147862434813, 'x^2 y qop^2': -0.13581771520502617, 'x^2 tx^3': -0.011192107550488224, 'x^2 tx^2 ty': 0.12486137523256921, 'x^2 tx^2 qop': 5.225482032478654, 'x^2 tx ty^2': 0.7550762571921301, 'x^2 tx ty qop': 3.755310333424372, 'x^2 tx qop^2': 0.03529628798503831, 'x^2 ty^3': 0.0680249197813556, 'x^2 ty^2 qop': -2.149779516970109, 'x^2 ty qop^2': -0.10043851798514322, 'x^2 qop^3': -0.008357891977863841, 'x y^4': -3.010369731271112e-10, 'x y^3 tx': -2.5632317350865463e-06, 'x y^3 ty': -1.5046913748317792e-06, 'x y^3 qop': -7.480400594950254e-06, 'x y^2 tx^2': 0.0024216018281754056, 'x y^2 tx ty': 0.0007084178707292381, 'x y^2 tx qop': 0.00044348353393648763, 'x y^2 ty^2': 0.0026684932410411567, 'x y^2 ty qop': 0.004142697700575095, 'x y^2 qop^2': 0.04019255202302588, 'x y tx^3': -0.21609228057090962, 'x y tx^2 ty': -0.39898880238968853, 'x y tx^2 qop': 3.716497181247638, 'x y tx ty^2': 1.7005468399990162, 'x y tx ty qop': -1.6246665305727963, 'x y tx qop^2': -0.10861921254973068, 'x y ty^3': -1.0206195922719212, 'x y ty^2 qop': -2.2538410252773176, 'x y ty qop^2': 0.12471546683983396, 'x y qop^3': 0.0010355202027286007, 'x tx^4': -0.38054051948182677, 'x tx^3 ty': 0.02811376405424165, 'x tx^3 qop': 0.024914607795988558, 'x tx^2 ty^2': -0.2390526017685849, 'x tx^2 ty qop': 0.016195442265039908, 'x tx^2 qop^2': -7.88453042343562e-06, 'x tx ty^3': 0.15152568889899992, 'x tx ty^2 qop': -0.008761905989985623, 'x tx ty qop^2': -0.00028476668103488885, 'x tx qop^3': -1.3992733945114136e-05, 'x ty^4': -0.17984996125743222, 'x ty^3 qop': -0.010938588150706838, 'x ty^2 qop^2': 0.00028736668746421283, 'x ty qop^3': 1.0017755372740274e-06, 'x qop^4': 5.647205119564429e-08, 'y^5': 2.2355894913062002e-11, 'y^4 tx': 2.1532131875279248e-06, 'y^4 ty': -4.644247597607176e-08, 'y^4 qop': -6.709499208279457e-06, 'y^3 tx^2': 0.0016621305979105314, 'y^3 tx ty': -0.003130496631703698, 'y^3 tx qop': 0.0073473064465471, 'y^3 ty^2': 3.1438102391929956e-05, 'y^3 ty qop': 0.009790096490369568, 'y^3 qop^2': 0.007755101347045138, 'y^2 tx^3': -0.5967738984072392, 'y^2 tx^2 ty': -1.6414346613041646, 'y^2 tx^2 qop': -1.9221000353689144, 'y^2 tx ty^2': 1.1296103381428921, 'y^2 tx ty qop': -2.0138360070431838, 'y^2 tx qop^2': 0.10014966880153775, 'y^2 ty^3': -0.006765532531283773, 'y^2 ty^2 qop': -3.489466677603648, 'y^2 ty qop^2': -0.15818840693723135, 'y^2 qop^3': -0.006154290860857408, 'y tx^4': 0.06713941420974948, 'y tx^3 ty': -0.18765968488942172, 'y tx^3 qop': 0.01494671954085084, 'y tx^2 ty^2': 0.02688242692225791, 'y tx^2 ty qop': -0.008806488292543392, 'y tx^2 qop^2': -0.0002890003079734742, 'y tx ty^3': 0.0560088747156591, 'y tx ty^2 qop': -0.0091269069301046, 'y tx ty qop^2': 0.0002557631704771736, 'y tx qop^3': 9.13083085488923e-07, 'y ty^4': -0.11308027221966196, 'y ty^3 qop': -0.015522487055330275, 'y ty^2 qop^2': -0.0004358549211642052, 'y ty qop^3': -9.99916544547057e-06, 'y qop^4': -1.583944618976334e-08, 'tx^5': -0.0039057973828551464, 'tx^4 ty': 0.0011021677966443968, 'tx^4 qop': 8.364509298284483e-05, 'tx^3 ty^2': -0.0019793041595461795, 'tx^3 ty qop': 4.1168080154112314e-05, 'tx^3 qop^2': -2.463097953215033e-07, 'tx^2 ty^3': 0.0007208243773861416, 'tx^2 ty^2 qop': -2.5859488653297416e-05, 'tx^2 ty qop^2': -5.822330221226121e-07, 'tx^2 qop^3': -2.1963163726583706e-08, 'tx ty^4': 0.00020328501105408336, 'tx ty^3 qop': -2.7986469931730596e-05, 'tx ty^2 qop^2': 4.5313369723243955e-07, 'tx ty qop^3': 6.464504187809654e-10, 'tx qop^4': 9.133899373812518e-11, 'ty^5': -0.0025485559385795883, 'ty^4 qop': -5.08771174897897e-05, 'ty^3 qop^2': -9.412302186542877e-07, 'ty^2 qop^3': -1.55479697478695e-08, 'ty qop^4': -1.861631536431087e-11, 'qop^5': -1.2879922620235152e-12}\n",
+      "r2 score= 0.013501590753704495\n",
+      "RMSE = 0.2590497099709809\n",
       "\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
+       "<Figure size 1200x900 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -522,7 +513,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -536,7 +527,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -551,7 +542,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -624,124 +615,124 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>3.1</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <th>4.0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.137133</td>\n",
+       "      <td>0.140800</td>\n",
+       "      <td>0.137350</td>\n",
+       "      <td>0.155200</td>\n",
+       "      <td>0.160000</td>\n",
+       "      <td>0.146800</td>\n",
+       "      <td>0.146500</td>\n",
+       "      <td>0.164300</td>\n",
+       "      <td>0.177060</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.18345</td>\n",
+       "      <td>0.176550</td>\n",
+       "      <td>0.149900</td>\n",
+       "      <td>0.152733</td>\n",
+       "      <td>0.161000</td>\n",
+       "      <td>0.160900</td>\n",
+       "      <td>0.13870</td>\n",
+       "      <td>0.137400</td>\n",
+       "      <td>0.137200</td>\n",
+       "      <td>0.13425</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3.2</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <th>4.1</th>\n",
+       "      <td>0.1510</td>\n",
+       "      <td>0.137575</td>\n",
+       "      <td>0.141467</td>\n",
+       "      <td>0.137575</td>\n",
+       "      <td>0.152850</td>\n",
+       "      <td>0.160033</td>\n",
+       "      <td>0.176100</td>\n",
+       "      <td>0.149350</td>\n",
+       "      <td>0.173250</td>\n",
+       "      <td>0.173386</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.16720</td>\n",
+       "      <td>0.169650</td>\n",
+       "      <td>0.163200</td>\n",
+       "      <td>0.153900</td>\n",
+       "      <td>0.157467</td>\n",
+       "      <td>0.151300</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.136850</td>\n",
+       "      <td>0.138880</td>\n",
+       "      <td>0.13610</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3.3</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.96215</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.746800</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.7263</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.381400</td>\n",
-       "      <td>NaN</td>\n",
+       "      <th>4.2</th>\n",
+       "      <td>0.1322</td>\n",
+       "      <td>0.137800</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.135900</td>\n",
+       "      <td>0.141100</td>\n",
+       "      <td>0.165500</td>\n",
+       "      <td>0.149975</td>\n",
+       "      <td>0.149429</td>\n",
+       "      <td>0.152883</td>\n",
+       "      <td>0.174633</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.3813</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.16582</td>\n",
+       "      <td>0.155200</td>\n",
+       "      <td>0.153533</td>\n",
+       "      <td>0.147900</td>\n",
+       "      <td>0.164650</td>\n",
+       "      <td>0.140775</td>\n",
+       "      <td>0.14170</td>\n",
+       "      <td>0.137314</td>\n",
+       "      <td>0.137133</td>\n",
+       "      <td>0.13620</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3.4</th>\n",
+       "      <th>4.3</th>\n",
        "      <td>NaN</td>\n",
+       "      <td>0.135900</td>\n",
+       "      <td>0.136300</td>\n",
+       "      <td>0.135900</td>\n",
+       "      <td>0.137788</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.743500</td>\n",
-       "      <td>0.37900</td>\n",
-       "      <td>0.11090</td>\n",
-       "      <td>1.6273</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.380200</td>\n",
-       "      <td>0.1115</td>\n",
+       "      <td>0.153367</td>\n",
+       "      <td>0.145900</td>\n",
+       "      <td>0.146350</td>\n",
+       "      <td>0.158700</td>\n",
        "      <td>...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.38025</td>\n",
-       "      <td>1.1143</td>\n",
-       "      <td>0.7429</td>\n",
-       "      <td>0.1109</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.378400</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.16390</td>\n",
+       "      <td>0.148220</td>\n",
+       "      <td>0.146367</td>\n",
+       "      <td>0.147600</td>\n",
+       "      <td>0.156067</td>\n",
+       "      <td>0.141640</td>\n",
+       "      <td>0.14135</td>\n",
+       "      <td>0.136250</td>\n",
+       "      <td>0.135740</td>\n",
+       "      <td>0.13870</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3.5</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.38280</td>\n",
-       "      <td>0.33605</td>\n",
-       "      <td>0.110300</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1.11870</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.23330</td>\n",
-       "      <td>1.479350</td>\n",
-       "      <td>NaN</td>\n",
+       "      <th>4.4</th>\n",
+       "      <td>0.1356</td>\n",
+       "      <td>0.136075</td>\n",
+       "      <td>0.139525</td>\n",
+       "      <td>0.137800</td>\n",
+       "      <td>0.138975</td>\n",
+       "      <td>0.163250</td>\n",
+       "      <td>0.153900</td>\n",
+       "      <td>0.149725</td>\n",
+       "      <td>0.147800</td>\n",
+       "      <td>0.156467</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.1458</td>\n",
-       "      <td>0.39860</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.39800</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.7175</td>\n",
-       "      <td>0.7303</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.243900</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.15555</td>\n",
+       "      <td>0.149933</td>\n",
+       "      <td>0.150256</td>\n",
+       "      <td>0.158500</td>\n",
+       "      <td>0.157440</td>\n",
+       "      <td>0.137333</td>\n",
+       "      <td>0.13620</td>\n",
+       "      <td>0.136820</td>\n",
+       "      <td>0.136467</td>\n",
+       "      <td>0.14150</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -770,24 +761,24 @@
        "    <tr>\n",
        "      <th>9.6</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.09270</td>\n",
-       "      <td>0.09775</td>\n",
+       "      <td>0.092700</td>\n",
+       "      <td>0.097750</td>\n",
        "      <td>0.099525</td>\n",
-       "      <td>0.09825</td>\n",
+       "      <td>0.098250</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0926</td>\n",
-       "      <td>0.09710</td>\n",
+       "      <td>0.092600</td>\n",
+       "      <td>0.097100</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0934</td>\n",
+       "      <td>0.093400</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.09000</td>\n",
-       "      <td>0.1005</td>\n",
-       "      <td>0.09510</td>\n",
-       "      <td>0.1005</td>\n",
+       "      <td>0.090000</td>\n",
+       "      <td>0.100500</td>\n",
+       "      <td>0.095100</td>\n",
+       "      <td>0.100500</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0960</td>\n",
-       "      <td>0.09185</td>\n",
+       "      <td>0.09600</td>\n",
+       "      <td>0.091850</td>\n",
        "      <td>0.094067</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
@@ -797,89 +788,89 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.098700</td>\n",
-       "      <td>0.09340</td>\n",
-       "      <td>0.09075</td>\n",
-       "      <td>0.0900</td>\n",
-       "      <td>0.08810</td>\n",
+       "      <td>0.093400</td>\n",
+       "      <td>0.090750</td>\n",
+       "      <td>0.090000</td>\n",
+       "      <td>0.088100</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.0912</td>\n",
+       "      <td>0.09120</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.09350</td>\n",
-       "      <td>0.0962</td>\n",
-       "      <td>0.0971</td>\n",
+       "      <td>0.093500</td>\n",
+       "      <td>0.096200</td>\n",
+       "      <td>0.097100</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.09540</td>\n",
+       "      <td>0.095400</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9.8</th>\n",
        "      <td>0.0922</td>\n",
-       "      <td>0.09230</td>\n",
-       "      <td>0.09660</td>\n",
+       "      <td>0.092300</td>\n",
+       "      <td>0.096600</td>\n",
        "      <td>0.089067</td>\n",
-       "      <td>0.09260</td>\n",
+       "      <td>0.092600</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0802</td>\n",
-       "      <td>0.09195</td>\n",
+       "      <td>0.080200</td>\n",
+       "      <td>0.091950</td>\n",
        "      <td>0.090867</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.07670</td>\n",
+       "      <td>0.076700</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.08775</td>\n",
+       "      <td>0.087750</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0920</td>\n",
-       "      <td>0.08030</td>\n",
+       "      <td>0.09200</td>\n",
+       "      <td>0.080300</td>\n",
        "      <td>0.100300</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9.9</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.09080</td>\n",
-       "      <td>0.08490</td>\n",
+       "      <td>0.090800</td>\n",
+       "      <td>0.084900</td>\n",
        "      <td>0.076200</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.08550</td>\n",
-       "      <td>0.0900</td>\n",
-       "      <td>0.09840</td>\n",
+       "      <td>0.085500</td>\n",
+       "      <td>0.090000</td>\n",
+       "      <td>0.098400</td>\n",
        "      <td>0.090000</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.3018</td>\n",
-       "      <td>0.08900</td>\n",
-       "      <td>0.0889</td>\n",
+       "      <td>0.30180</td>\n",
+       "      <td>0.089000</td>\n",
+       "      <td>0.088900</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.0900</td>\n",
+       "      <td>0.090000</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.08160</td>\n",
+       "      <td>0.081600</td>\n",
        "      <td>0.088767</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10.0</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.19140</td>\n",
+       "      <td>0.191400</td>\n",
        "      <td>NaN</td>\n",
        "      <td>0.119100</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.17850</td>\n",
+       "      <td>0.178500</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>...</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>0.10425</td>\n",
-       "      <td>0.1109</td>\n",
-       "      <td>0.08550</td>\n",
+       "      <td>0.104250</td>\n",
+       "      <td>0.110900</td>\n",
+       "      <td>0.085500</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
@@ -889,56 +880,56 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>70 rows × 181 columns</p>\n",
+       "<p>61 rows × 181 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "phi    -90.0    -89.0    -88.0     -87.0    -86.0    -85.0   -84.0    -83.0  \\\n",
-       "eta                                                                           \n",
-       "3.1      NaN      NaN      NaN       NaN      NaN      NaN     NaN      NaN   \n",
-       "3.2      NaN      NaN      NaN       NaN      NaN      NaN     NaN      NaN   \n",
-       "3.3      NaN  0.96215      NaN  0.746800      NaN      NaN  1.7263      NaN   \n",
-       "3.4      NaN      NaN      NaN  0.743500  0.37900  0.11090  1.6273      NaN   \n",
-       "3.5      NaN  0.38280  0.33605  0.110300      NaN  1.11870     NaN  0.23330   \n",
-       "...      ...      ...      ...       ...      ...      ...     ...      ...   \n",
-       "9.6      NaN  0.09270  0.09775  0.099525  0.09825      NaN  0.0926  0.09710   \n",
-       "9.7      NaN      NaN      NaN  0.098700  0.09340  0.09075  0.0900  0.08810   \n",
-       "9.8   0.0922  0.09230  0.09660  0.089067  0.09260      NaN  0.0802  0.09195   \n",
-       "9.9      NaN  0.09080  0.08490  0.076200      NaN  0.08550  0.0900  0.09840   \n",
-       "10.0     NaN  0.19140      NaN  0.119100      NaN  0.17850     NaN      NaN   \n",
+       "phi    -90.0     -89.0     -88.0     -87.0     -86.0     -85.0     -84.0  \\\n",
+       "eta                                                                        \n",
+       "4.0      NaN  0.137133  0.140800  0.137350  0.155200  0.160000  0.146800   \n",
+       "4.1   0.1510  0.137575  0.141467  0.137575  0.152850  0.160033  0.176100   \n",
+       "4.2   0.1322  0.137800       NaN  0.135900  0.141100  0.165500  0.149975   \n",
+       "4.3      NaN  0.135900  0.136300  0.135900  0.137788       NaN  0.153367   \n",
+       "4.4   0.1356  0.136075  0.139525  0.137800  0.138975  0.163250  0.153900   \n",
+       "...      ...       ...       ...       ...       ...       ...       ...   \n",
+       "9.6      NaN  0.092700  0.097750  0.099525  0.098250       NaN  0.092600   \n",
+       "9.7      NaN       NaN       NaN  0.098700  0.093400  0.090750  0.090000   \n",
+       "9.8   0.0922  0.092300  0.096600  0.089067  0.092600       NaN  0.080200   \n",
+       "9.9      NaN  0.090800  0.084900  0.076200       NaN  0.085500  0.090000   \n",
+       "10.0     NaN  0.191400       NaN  0.119100       NaN  0.178500       NaN   \n",
        "\n",
-       "phi      -82.0   -81.0  ...    81.0     82.0    83.0     84.0    85.0    86.0  \\\n",
-       "eta                     ...                                                     \n",
-       "3.1        NaN     NaN  ...     NaN      NaN     NaN      NaN     NaN     NaN   \n",
-       "3.2        NaN     NaN  ...     NaN      NaN     NaN      NaN     NaN     NaN   \n",
-       "3.3   0.381400     NaN  ...  0.3813      NaN     NaN      NaN     NaN     NaN   \n",
-       "3.4   0.380200  0.1115  ...     NaN      NaN     NaN  0.38025  1.1143  0.7429   \n",
-       "3.5   1.479350     NaN  ...  0.1458  0.39860     NaN  0.39800     NaN  0.7175   \n",
-       "...        ...     ...  ...     ...      ...     ...      ...     ...     ...   \n",
-       "9.6        NaN  0.0934  ...     NaN  0.09000  0.1005  0.09510  0.1005     NaN   \n",
-       "9.7        NaN     NaN  ...  0.0912      NaN     NaN  0.09350  0.0962  0.0971   \n",
-       "9.8   0.090867     NaN  ...     NaN  0.07670     NaN  0.08775     NaN     NaN   \n",
-       "9.9   0.090000     NaN  ...  0.3018  0.08900  0.0889      NaN  0.0900     NaN   \n",
-       "10.0       NaN     NaN  ...     NaN  0.10425  0.1109  0.08550     NaN     NaN   \n",
+       "phi      -83.0     -82.0     -81.0  ...     81.0      82.0      83.0  \\\n",
+       "eta                                 ...                                \n",
+       "4.0   0.146500  0.164300  0.177060  ...  0.18345  0.176550  0.149900   \n",
+       "4.1   0.149350  0.173250  0.173386  ...  0.16720  0.169650  0.163200   \n",
+       "4.2   0.149429  0.152883  0.174633  ...  0.16582  0.155200  0.153533   \n",
+       "4.3   0.145900  0.146350  0.158700  ...  0.16390  0.148220  0.146367   \n",
+       "4.4   0.149725  0.147800  0.156467  ...  0.15555  0.149933  0.150256   \n",
+       "...        ...       ...       ...  ...      ...       ...       ...   \n",
+       "9.6   0.097100       NaN  0.093400  ...      NaN  0.090000  0.100500   \n",
+       "9.7   0.088100       NaN       NaN  ...  0.09120       NaN       NaN   \n",
+       "9.8   0.091950  0.090867       NaN  ...      NaN  0.076700       NaN   \n",
+       "9.9   0.098400  0.090000       NaN  ...  0.30180  0.089000  0.088900   \n",
+       "10.0       NaN       NaN       NaN  ...      NaN  0.104250  0.110900   \n",
        "\n",
-       "phi     87.0     88.0      89.0   90.0  \n",
-       "eta                                     \n",
-       "3.1      NaN      NaN       NaN    NaN  \n",
-       "3.2      NaN      NaN       NaN    NaN  \n",
-       "3.3      NaN      NaN       NaN    NaN  \n",
-       "3.4   0.1109      NaN  0.378400    NaN  \n",
-       "3.5   0.7303      NaN  0.243900    NaN  \n",
-       "...      ...      ...       ...    ...  \n",
-       "9.6   0.0960  0.09185  0.094067    NaN  \n",
-       "9.7      NaN  0.09540       NaN    NaN  \n",
-       "9.8   0.0920  0.08030  0.100300    NaN  \n",
-       "9.9      NaN  0.08160  0.088767    NaN  \n",
-       "10.0     NaN      NaN  0.081500    NaN  \n",
+       "phi       84.0      85.0      86.0     87.0      88.0      89.0     90.0  \n",
+       "eta                                                                       \n",
+       "4.0   0.152733  0.161000  0.160900  0.13870  0.137400  0.137200  0.13425  \n",
+       "4.1   0.153900  0.157467  0.151300      NaN  0.136850  0.138880  0.13610  \n",
+       "4.2   0.147900  0.164650  0.140775  0.14170  0.137314  0.137133  0.13620  \n",
+       "4.3   0.147600  0.156067  0.141640  0.14135  0.136250  0.135740  0.13870  \n",
+       "4.4   0.158500  0.157440  0.137333  0.13620  0.136820  0.136467  0.14150  \n",
+       "...        ...       ...       ...      ...       ...       ...      ...  \n",
+       "9.6   0.095100  0.100500       NaN  0.09600  0.091850  0.094067      NaN  \n",
+       "9.7   0.093500  0.096200  0.097100      NaN  0.095400       NaN      NaN  \n",
+       "9.8   0.087750       NaN       NaN  0.09200  0.080300  0.100300      NaN  \n",
+       "9.9        NaN  0.090000       NaN      NaN  0.081600  0.088767      NaN  \n",
+       "10.0  0.085500       NaN       NaN      NaN       NaN  0.081500      NaN  \n",
        "\n",
-       "[70 rows x 181 columns]"
+       "[61 rows x 181 columns]"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -949,14 +940,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
-       "<Figure size 2100x700 with 2 Axes>"
+       "<Figure size 1500x700 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -964,27 +955,39 @@
     }
    ],
    "source": [
-    "fig = plt.figure(figsize=(21, 7))\n",
-    "ax = sns.heatmap(\n",
-    "    df_pivoted,\n",
-    "    robust=True,\n",
-    "    square=True,\n",
-    "    cmap=colormaps[\"rainbow\"],\n",
-    "    xticklabels=False,\n",
-    "    yticklabels=False,\n",
-    "    vmax=0.7,\n",
-    ")\n",
+    "fig = plt.figure(figsize=(15, 7))\n",
+    "ax = sns.heatmap(df_pivoted,\n",
+    "                 robust=True,\n",
+    "                 square=False,\n",
+    "                 cmap=colormaps[\"rainbow\"],\n",
+    "                 xticklabels=False,\n",
+    "                 yticklabels=False,\n",
+    "                 vmax=0.7,\n",
+    "                 cbar_kws={\n",
+    "                     'label': r'$x/X_0$',\n",
+    "                     'pad': 0.005,\n",
+    "                     'shrink': 1,\n",
+    "                     'ticks': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7],\n",
+    "                     'aspect': 15\n",
+    "                 })\n",
     "# ax.set_yticks([5, 15, 25, 35], [2, 3, 4, 5])\n",
-    "ax.set_yticks([10, 30, 50, 70], [2, 3, 4, 5])\n",
+    "ax.set_yticks([0, 20, 40, 60], [2, 3, 4, 5])\n",
     "ax.set_xticks([39, 89, 139],\n",
     "              [-100, 0, 100])  # ([79, 179, 279], [-100, 0, 100])\n",
     "ax.set_xlabel(f\"$\\phi$ [deg]\")\n",
     "ax.set_ylabel(f\"$\\eta$\")\n",
+    "ax.patch.set_edgecolor('black')\n",
     "\n",
+    "ax.patch.set_linewidth(2)\n",
     "# ax.set_yticklabels([])\n",
     "ax.invert_yaxis()\n",
-    "ax.set_title(\"LHCb EndVelo to EndUT $x/X_0$\")\n",
-    "plt.show()"
+    "# ax.set_title(\"EndVELO to EndUT $x/X_0$\", size=35)\n",
+    "mplhep.lhcb.text(\n",
+    "    \"Simulation    \\qquad \\qquad \\qquad    EndVELO to EndUT $x/X_0$\", loc=0)\n",
+    "# plt.show()\n",
+    "plt.savefig(\n",
+    "    \"/work/cetin/Projektpraktikum/thesis/rad_length_frac_eta_phi_2.pdf\",\n",
+    "    format=\"PDF\")"
    ]
   },
   {
diff --git a/thesis/brem_vtx_found_lost_hist2d.pdf b/thesis/brem_vtx_found_lost_hist2d.pdf
new file mode 100644
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