diff --git a/B_rework.ipynb b/B_rework.ipynb
index 5517df2..240aee9 100644
--- a/B_rework.ipynb
+++ b/B_rework.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -16,12 +16,13 @@
     "import itertools\n",
     "import awkward as ak\n",
     "from scipy.optimize import curve_fit\n",
+    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
     "%matplotlib inline"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
@@ -30,7 +31,7 @@
        "9056"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -49,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [
     {
@@ -58,7 +59,7 @@
        "0.8606728758791105"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -74,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [
     {
@@ -133,7 +134,7 @@
        "0.9533333333333334"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -179,7 +180,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -189,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
@@ -198,7 +199,7 @@
        "0.8593328191284226"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -223,7 +224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 82,
    "metadata": {},
    "outputs": [
     {
@@ -244,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [
     {
@@ -279,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [
     {
@@ -314,6 +315,319 @@
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#ist die shape der teilspur im scifi anders? (koenntest du zum beispiel durch vergleich der verteilungen der fit parameter studieren,\n",
+    "#in meiner thesis findest du das fitmodell -- ist einfach ein polynom dritten grades)\n",
+    "z_ref=8520 #mm\n",
+    "\n",
+    "def scifi_track(z, a, b, c, d):\n",
+    "    return a + b*(z-z_ref) + c*(z-z_ref)**2 + d*(z-z_ref)**3\n",
+    "\n",
+    "def z_mag(xv, zv, tx, a, b):\n",
+    "    \"\"\" optical centre of the magnet is defined as the intersection between the trajectory tangents before and after the magnet\n",
+    "\n",
+    "    Args:\n",
+    "        xv (double): velo x track\n",
+    "        zv (double): velo z track\n",
+    "        tx (double): velo x slope\n",
+    "        a (double): ax parameter of track fit\n",
+    "        b (double): bx parameter of track fit\n",
+    "\n",
+    "    Returns:\n",
+    "        double: z_mag\n",
+    "    \"\"\"\n",
+    "    return (xv-tx*zv-a+b*z_ref)/(b-tx)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scifi_found = found[found[\"scifi_hit_pos_x_length\"]>3]\n",
+    "scifi_lost = lost[lost[\"scifi_hit_pos_x_length\"]>3]\n",
+    "#should be fulfilled by all candidates\n",
+    "\n",
+    "scifi_x_found = scifi_found[\"scifi_hit_pos_x\"]\n",
+    "scifi_z_found = scifi_found[\"scifi_hit_pos_z\"]\n",
+    "\n",
+    "tx_found = scifi_found[\"velo_track_tx\"]\n",
+    "\n",
+    "scifi_x_lost = scifi_lost[\"scifi_hit_pos_x\"]\n",
+    "scifi_z_lost = scifi_lost[\"scifi_hit_pos_z\"]\n",
+    "\n",
+    "tx_lost = scifi_lost[\"velo_track_tx\"]\n",
+    "\n",
+    "xv_found = scifi_found[\"velo_track_x\"]\n",
+    "zv_found = scifi_found[\"velo_track_z\"]\n",
+    "\n",
+    "xv_lost = scifi_lost[\"velo_track_x\"]\n",
+    "zv_lost = scifi_lost[\"velo_track_z\"]\n",
+    "\n",
+    "\n",
+    "\n",
+    "sf_energy_found = ak.to_numpy(scifi_found[\"energy\"])\n",
+    "sf_eph_found = ak.to_numpy(ak.sum(scifi_found[\"brem_photons_pe\"], axis=-1, keepdims=False))\n",
+    "sf_vtx_type_found = ak.to_numpy(scifi_found[\"endvtx_type\"])\n",
+    "brem_vtx_type_found = scifi_found[scifi_found[\"endvtx_type\"]==101]\n",
+    "\n",
+    "sf_energy_lost = ak.to_numpy(scifi_lost[\"energy\"])\n",
+    "sf_eph_lost = ak.to_numpy(ak.sum(scifi_lost[\"brem_photons_pe\"], axis=-1, keepdims=False))\n",
+    "sf_vtx_type_lost = ak.to_numpy(scifi_lost[\"endvtx_type\"])\n",
+    "brem_vtx_type_lost = scifi_lost[scifi_lost[\"endvtx_type\"]==101]\n",
+    "\n",
+    "\n",
+    "\n",
+    "#ak.num(scifi_found[\"energy\"], axis=0)\n",
+    "#scifi_found.snapshot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "9056"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ak.num(scifi_found[\"energy\"], axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scifi_fitpars_found = ak.ArrayBuilder()\n",
+    "\n",
+    "for i in range(0,ak.num(scifi_found, axis=0)):\n",
+    "    popt, pcov = curve_fit(scifi_track,ak.to_numpy(scifi_z_found[i,:]),ak.to_numpy(scifi_x_found[i,:]))\n",
+    "    scifi_fitpars_found.begin_list()\n",
+    "    scifi_fitpars_found.real(popt[0])\n",
+    "    scifi_fitpars_found.real(popt[1])\n",
+    "    scifi_fitpars_found.real(popt[2])\n",
+    "    scifi_fitpars_found.real(popt[3])\n",
+    "    #[:,4] -> energy \n",
+    "    scifi_fitpars_found.real(sf_energy_found[i])\n",
+    "    #[:,5] -> photon energy\n",
+    "    scifi_fitpars_found.real(sf_eph_found[i])\n",
+    "    #[:,6] -> endvtx_type\n",
+    "    scifi_fitpars_found.real(sf_vtx_type_found[i])\n",
+    "    scifi_fitpars_found.end_list()\n",
+    "\n",
+    "scifi_fitpars_lost = ak.ArrayBuilder()\n",
+    "\n",
+    "for i in range(0,ak.num(scifi_lost, axis=0)):\n",
+    "    popt, pcov = curve_fit(scifi_track,ak.to_numpy(scifi_z_lost[i,:]),ak.to_numpy(scifi_x_lost[i,:]))\n",
+    "    scifi_fitpars_lost.begin_list()\n",
+    "    scifi_fitpars_lost.real(popt[0])\n",
+    "    scifi_fitpars_lost.real(popt[1])\n",
+    "    scifi_fitpars_lost.real(popt[2])\n",
+    "    scifi_fitpars_lost.real(popt[3])\n",
+    "    #[:,4] -> energy \n",
+    "    scifi_fitpars_lost.real(sf_energy_lost[i])\n",
+    "    #[:,5] -> photon energy\n",
+    "    scifi_fitpars_lost.real(sf_eph_lost[i])\n",
+    "    #[:,6] -> endvtx_type\n",
+    "    scifi_fitpars_lost.real(sf_vtx_type_lost[i])\n",
+    "    scifi_fitpars_lost.end_list()\n",
+    "\n",
+    "\n",
+    "scifi_fitpars_lost = scifi_fitpars_lost.to_numpy()\n",
+    "scifi_fitpars_found = scifi_fitpars_found.to_numpy()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(2)"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.array()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2000x600 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#b parameter des fits [:,1] hat für lost eine breitere Verteilung. Warum?\n",
+    "#evtl multiple scattering candidates (lost); findet man einen gewissen endvtx_type (mult scattering)\n",
+    "#steiler velo winkel (eta)? vertex type? evtl bremsstrahlung?\n",
+    "\n",
+    "#isolate b parameters for analysis\n",
+    "b_found = scifi_fitpars_found[:,1]\n",
+    "b_lost = scifi_fitpars_lost[:,1]\n",
+    "\n",
+    "brem_energy_found = scifi_fitpars_found[:,5]\n",
+    "brem_energy_lost = scifi_fitpars_lost[:,5]\n",
+    "\n",
+    "\n",
+    "vtx_type_found = scifi_fitpars_found[:,6]\n",
+    "vtx_type_lost = scifi_fitpars_lost[:,6]\n",
+    "\n",
+    "\n",
+    "#Erste Annahme ist Bremsstrahlung\n",
+    "\n",
+    "fig = plt.figure(figsize=(20,6))\n",
+    "axes = ImageGrid(fig, 111,  # similar to subplot(111)\n",
+    "                 nrows_ncols=(1, 2),  # creates 2x2 grid of axes\n",
+    "                 axes_pad=1,  # pad between axes in inch.\n",
+    "                 cbar_mode=\"single\",\n",
+    "                 cbar_location=\"right\",\n",
+    "                 cbar_pad=0.1,\n",
+    "                 aspect=False\n",
+    "                )\n",
+    "\n",
+    "\n",
+    "h0 = axes[0].hist2d(b_found, brem_energy_found, bins=200, cmap=plt.cm.jet, cmin=1,vmax=30)\n",
+    "axes[0].set_xlim(-1,1)\n",
+    "axes[0].set_xlabel(\"b parameter [mm]\")\n",
+    "axes[0].set_ylabel(r\"$E_{ph}$\")\n",
+    "axes[0].set_title(\"found photon energy wrt b parameter\")\n",
+    "\n",
+    "h1 = axes[1].hist2d(b_lost, brem_energy_lost, bins=200, cmap=plt.cm.jet, cmin=1,vmax=30)\n",
+    "axes[1].set_xlim(-1,1)\n",
+    "axes[1].set_xlabel(\"b parameter [mm]\")\n",
+    "axes[1].set_ylabel(r\"$E_{ph}$\")\n",
+    "axes[1].set_title(\"lost photon energy wrt b parameter\")\n",
+    "\n",
+    "fig.colorbar(h0[3], cax=axes.cbar_axes[0], orientation='vertical')\n",
+    "\n",
+    "\"\"\"\n",
+    "\"\"\"\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0., 0., 0., ..., 0., 0., 0.])"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vtx_type_found"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1500x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ((ax0, ax1), (ax2, ax3)) = plt.subplots(nrows=2, ncols=2, figsize=(15,10))\n",
+    "\n",
+    "ax0.hist(scifi_fitpars_found[:,0], bins=100, density=True, alpha=0.5, histtype='bar', color=\"blue\", label=r\"$a_x$ found\")\n",
+    "ax0.hist(scifi_fitpars_lost[:,0], bins=100, density=True, alpha=0.5, histtype='bar', color=\"darkorange\", label=r\"$a_x$ lost\")\n",
+    "ax0.set_xlabel(\"a\")\n",
+    "ax0.set_ylabel(\"normed\")\n",
+    "ax0.set_title(\"fitparameter a der scifi track\")\n",
+    "ax0.legend()\n",
+    "\n",
+    "ax1.hist(scifi_fitpars_found[:,1], bins=100, density=True, alpha=0.5, histtype='bar', color=\"blue\", label=r\"$b_x$ found\")\n",
+    "ax1.hist(scifi_fitpars_lost[:,1], bins=100, density=True, alpha=0.5, histtype='bar', color=\"darkorange\", label=r\"$b_x$ lost\")\n",
+    "ax1.set_xlabel(\"b\")\n",
+    "ax1.set_ylabel(\"normed\")\n",
+    "ax1.set_title(\"fitparameter b der scifi track\")\n",
+    "ax1.legend()\n",
+    "#evtl multiple scattering candidates (lost); findet man einen gewissen endvtx_type (mult scattering)\n",
+    "#steiler velo winkel (eta)? vertex type? evtl bremsstrahlung?\n",
+    "\n",
+    "\n",
+    "ax2.hist(scifi_fitpars_found[:,2], bins=500, density=True, alpha=0.5, histtype='bar', color=\"blue\", label=r\"$c_x$ found\")\n",
+    "ax2.hist(scifi_fitpars_lost[:,2], bins=500, density=True, alpha=0.5, histtype='bar', color=\"darkorange\", label=r\"$c_x$ lost\")\n",
+    "ax2.set_xlim([-3e-5,3e-5])\n",
+    "ax2.set_xticks(np.arange(-3e-5,3.5e-5,1e-5),minor=False)\n",
+    "ax2.set_xlabel(\"c\")\n",
+    "ax2.set_ylabel(\"normed\")\n",
+    "ax2.set_title(\"fitparameter c der scifi track\")\n",
+    "ax2.legend()\n",
+    "\n",
+    "ax3.hist(scifi_fitpars_found[:,3], bins=500, density=True, alpha=0.5, histtype='bar', color=\"blue\", label=r\"$d_x$ found\")\n",
+    "ax3.hist(scifi_fitpars_lost[:,3], bins=500, density=True, alpha=0.5, histtype='bar', color=\"darkorange\", label=r\"$d_x$ lost\")\n",
+    "ax3.set(xlim=(-5e-8,5e-8))\n",
+    "ax3.text(-4e-8,3e8,\"d negligible <1e-7\")\n",
+    "ax3.set_xlabel(\"d\")\n",
+    "ax3.set_ylabel(\"normed\")\n",
+    "ax3.set_title(\"fitparameter d der scifi track\")\n",
+    "ax3.legend()\n",
+    "\n",
+    "\"\"\"\n",
+    "a_x: virtual hit on the reference plane\n",
+    "\"\"\"\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/B_tasks.ipynb b/B_tasks.ipynb
index becb2f2..ae0f6a2 100644
--- a/B_tasks.ipynb
+++ b/B_tasks.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -30,7 +30,7 @@
        "9056"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -60,7 +60,7 @@
        "0.8606728758791105"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -135,7 +135,7 @@
        "0.9533333333333334"
       ]
      },
-     "execution_count": 104,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -188,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -204,7 +204,7 @@
        "0.96875"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -234,7 +234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -243,7 +243,7 @@
        "0.8603431839847474"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -266,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -287,7 +287,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -328,7 +328,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -357,7 +357,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -389,7 +389,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -398,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -443,7 +443,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -504,7 +504,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -540,7 +540,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -549,7 +549,7 @@
        "-4.6785491318157854e-07"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -560,7 +560,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -608,7 +608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -635,7 +635,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -669,262 +669,108 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "{'all_endvtx_types_length': 9,\n",
-       " 'all_endvtx_types': [101.0,\n",
-       "  101.0,\n",
-       "  101.0,\n",
-       "  101.0,\n",
-       "  101.0,\n",
-       "  101.0,\n",
-       "  101.0,\n",
-       "  101.0,\n",
-       "  0.0],\n",
-       " 'all_endvtx_x_length': 9,\n",
-       " 'all_endvtx_x': [4.337699890136719,\n",
-       "  14.665200233459473,\n",
-       "  76.01349639892578,\n",
-       "  407.2786865234375,\n",
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-       "  415.61248779296875,\n",
-       "  416.95660400390625,\n",
-       "  434.4844970703125],\n",
-       " 'all_endvtx_y_length': 9,\n",
-       " 'all_endvtx_y': [11.121000289916992,\n",
-       "  44.36029815673828,\n",
-       "  229.05709838867188,\n",
-       "  701.25048828125,\n",
-       "  701.5361938476562,\n",
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-       "  711.8519287109375,\n",
-       "  713.556396484375,\n",
-       "  735.4926147460938],\n",
-       " 'all_endvtx_z_length': 9,\n",
-       " 'all_endvtx_z': [225.14419555664062,\n",
-       "  794.5338134765625,\n",
-       "  3962.47607421875,\n",
-       "  12063.0546875,\n",
-       "  12067.9521484375,\n",
-       "  12123.0634765625,\n",
-       "  12244.5712890625,\n",
-       "  12273.71875,\n",
-       "  12650.5009765625],\n",
-       " 'brem_photons_pe_length': 8,\n",
-       " 'brem_photons_pe': [8379.3701171875,\n",
-       "  1664.8931884765625,\n",
-       "  1533.9306640625,\n",
-       "  636.8262939453125,\n",
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-       "  190.91404724121094,\n",
-       "  12675.98828125,\n",
-       "  17840.21875],\n",
-       " 'brem_photons_px_length': 8,\n",
-       " 'brem_photons_px': [151.9600067138672,\n",
-       "  30.200000762939453,\n",
-       "  36.0,\n",
-       "  29.139999389648438,\n",
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-       "  8.739999771118164,\n",
-       "  582.6599731445312,\n",
-       "  821.239990234375],\n",
-       " 'brem_photons_py_length': 8,\n",
-       " 'brem_photons_py': [488.9800109863281,\n",
-       "  96.83999633789062,\n",
-       "  89.2300033569336,\n",
-       "  37.040000915527344,\n",
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-       "  11.109999656677246,\n",
-       "  739.2999877929688,\n",
-       "  1038.8900146484375],\n",
-       " 'brem_photons_pz_length': 8,\n",
-       " 'brem_photons_pz': [8363.7099609375,\n",
-       "  1661.800048828125,\n",
-       "  1530.9100341796875,\n",
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-       "  12640.990234375,\n",
-       "  17791.0],\n",
-       " 'brem_vtx_x_length': 8,\n",
-       " 'brem_vtx_x': [4.337699890136719,\n",
-       "  14.665200233459473,\n",
-       "  76.01349639892578,\n",
-       "  407.2786865234375,\n",
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-       "  415.61248779296875,\n",
-       "  416.95660400390625],\n",
-       " 'brem_vtx_y_length': 8,\n",
-       " 'brem_vtx_y': [11.121000289916992,\n",
-       "  44.36029815673828,\n",
-       "  229.05709838867188,\n",
-       "  701.25048828125,\n",
-       "  701.5361938476562,\n",
-       "  704.75341796875,\n",
-       "  711.8519287109375,\n",
-       "  713.556396484375],\n",
-       " 'brem_vtx_z_length': 8,\n",
-       " 'brem_vtx_z': [225.14419555664062,\n",
-       "  794.5338134765625,\n",
-       "  3962.47607421875,\n",
-       "  12063.0546875,\n",
-       "  12067.9521484375,\n",
-       "  12123.0634765625,\n",
-       "  12244.5712890625,\n",
-       "  12273.71875],\n",
-       " 'endvtx_type': 0,\n",
-       " 'endvtx_x': nan,\n",
-       " 'endvtx_y': nan,\n",
-       " 'endvtx_z': nan,\n",
-       " 'energy': 56441.954665682184,\n",
-       " 'eta': 3.488542459471178,\n",
-       " 'event_count': 4,\n",
-       " 'fromB': True,\n",
-       " 'fromD': False,\n",
-       " 'fromDecay': True,\n",
-       " 'fromHadInt': False,\n",
-       " 'fromPV': False,\n",
-       " 'fromPairProd': False,\n",
-       " 'fromSignal': True,\n",
-       " 'fromStrange': False,\n",
-       " 'isElectron': True,\n",
-       " 'isKaon': False,\n",
-       " 'isMuon': False,\n",
-       " 'isPion': False,\n",
-       " 'isProton': False,\n",
-       " 'lost': False,\n",
-       " 'lost_in_track_fit': False,\n",
-       " 'match_fraction': 1.0,\n",
-       " 'mcp_idx': 742,\n",
-       " 'mother_id': -511,\n",
-       " 'mother_key': 698,\n",
-       " 'originvtx_type': 3,\n",
-       " 'originvtx_x': 1.1207,\n",
-       " 'originvtx_y': 0.8300000000000001,\n",
-       " 'originvtx_z': 48.8842,\n",
-       " 'p': 56441.95466336899,\n",
-       " 'phi': 1.2677798486443645,\n",
-       " 'pid': 11,\n",
-       " 'pt': 3444.8656184095194,\n",
-       " 'px': 1027.95,\n",
-       " 'py': 3287.92,\n",
-       " 'pz': 56336.73,\n",
-       " 'scifi_hit_pos_x_length': 12,\n",
-       " 'scifi_hit_pos_x': [213.45494079589844,\n",
-       "  216.5443115234375,\n",
-       "  219.6619110107422,\n",
-       "  222.7693634033203,\n",
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-       "  247.14352416992188,\n",
-       "  250.3206329345703,\n",
-       "  253.48336791992188,\n",
-       "  275.1091003417969,\n",
-       "  278.3012390136719,\n",
-       "  281.5145568847656,\n",
-       "  284.71240234375],\n",
-       " 'scifi_hit_pos_y_length': 12,\n",
-       " 'scifi_hit_pos_y': [454.385986328125,\n",
-       "  458.4554138183594,\n",
-       "  462.55010986328125,\n",
-       "  466.6192932128906,\n",
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-       "  498.219482421875,\n",
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-       "  534.1050415039062,\n",
-       "  538.1732788085938,\n",
-       "  542.2637939453125,\n",
-       "  546.33056640625],\n",
-       " 'scifi_hit_pos_z_length': 12,\n",
-       " 'scifi_hit_pos_z': [7827.7353515625,\n",
-       "  7897.55078125,\n",
-       "  7967.765625,\n",
-       "  8037.5810546875,\n",
-       "  8509.87890625,\n",
-       "  8579.693359375,\n",
-       "  8649.9091796875,\n",
-       "  8719.724609375,\n",
-       "  9195.0224609375,\n",
-       "  9264.837890625,\n",
-       "  9335.052734375,\n",
-       "  9404.8681640625],\n",
-       " 'track_p': 45119.27933089411,\n",
-       " 'track_pt': 2751.5483539471675,\n",
-       " 'tx': 0.018246532945735403,\n",
-       " 'ty': 0.05836192480465231,\n",
-       " 'ut_hit_pos_x_length': 4,\n",
-       " 'ut_hit_pos_x': [42.633201599121094,\n",
-       "  43.659507751464844,\n",
-       "  47.88643264770508,\n",
-       "  48.9288444519043],\n",
-       " 'ut_hit_pos_y_length': 4,\n",
-       " 'ut_hit_pos_y': [133.4278106689453,\n",
-       "  136.63731384277344,\n",
-       "  149.7635040283203,\n",
-       "  152.9698028564453],\n",
-       " 'ut_hit_pos_z_length': 4,\n",
-       " 'ut_hit_pos_z': [2321.846435546875,\n",
-       "  2376.846435546875,\n",
-       "  2601.846435546875,\n",
-       "  2656.846435546875],\n",
-       " 'velo_hit_pos_x_length': 11,\n",
-       " 'velo_hit_pos_x': [2.4984264373779297,\n",
-       "  2.954725503921509,\n",
-       "  3.4115281105041504,\n",
-       "  3.8682260513305664,\n",
-       "  4.323416709899902,\n",
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-       "  5.2308149337768555,\n",
-       "  6.138315677642822,\n",
-       "  7.523914337158203,\n",
-       "  9.338811874389648,\n",
-       "  11.151512145996094],\n",
-       " 'velo_hit_pos_y_length': 11,\n",
-       " 'velo_hit_pos_y': [5.234837055206299,\n",
-       "  6.694038391113281,\n",
-       "  8.154040336608887,\n",
-       "  9.614141464233398,\n",
-       "  11.075146675109863,\n",
-       "  12.537148475646973,\n",
-       "  13.99904727935791,\n",
-       "  16.921545028686523,\n",
-       "  21.37623405456543,\n",
-       "  27.210132598876953,\n",
-       "  33.04653549194336],\n",
-       " 'velo_hit_pos_z_length': 11,\n",
-       " 'velo_hit_pos_z': [124.35900115966797,\n",
-       "  149.35899353027344,\n",
-       "  174.35899353027344,\n",
-       "  199.35899353027344,\n",
-       "  224.35899353027344,\n",
-       "  249.35899353027344,\n",
-       "  274.3590087890625,\n",
-       "  324.3590087890625,\n",
-       "  400.6409912109375,\n",
-       "  500.6409912109375,\n",
-       "  600.6409912109375],\n",
-       " 'velo_track_idx': 44,\n",
-       " 'velo_track_tx': 0.018183697015047073,\n",
-       " 'velo_track_ty': 0.05834294483065605,\n",
-       " 'velo_track_x': 14.221809387207031,\n",
-       " 'velo_track_y': 42.918701171875,\n",
-       " 'velo_track_z': 770.0}"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "name                 | typename                 | interpretation                \n",
+      "---------------------+--------------------------+-------------------------------\n",
+      "all_endvtx_types_... | int32_t                  | AsDtype('>i4')\n",
+      "all_endvtx_types     | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "all_endvtx_x_length  | int32_t                  | AsDtype('>i4')\n",
+      "all_endvtx_x         | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "all_endvtx_y_length  | int32_t                  | AsDtype('>i4')\n",
+      "all_endvtx_y         | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "all_endvtx_z_length  | int32_t                  | AsDtype('>i4')\n",
+      "all_endvtx_z         | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "brem_photons_pe_l... | int32_t                  | AsDtype('>i4')\n",
+      "brem_photons_pe      | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "brem_photons_px_l... | int32_t                  | AsDtype('>i4')\n",
+      "brem_photons_px      | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "brem_photons_py_l... | int32_t                  | AsDtype('>i4')\n",
+      "brem_photons_py      | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "brem_photons_pz_l... | int32_t                  | AsDtype('>i4')\n",
+      "brem_photons_pz      | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "brem_vtx_x_length    | int32_t                  | AsDtype('>i4')\n",
+      "brem_vtx_x           | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "brem_vtx_y_length    | int32_t                  | AsDtype('>i4')\n",
+      "brem_vtx_y           | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "brem_vtx_z_length    | int32_t                  | AsDtype('>i4')\n",
+      "brem_vtx_z           | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "endvtx_type          | int32_t                  | AsDtype('>i4')\n",
+      "endvtx_x             | double                   | AsDtype('>f8')\n",
+      "endvtx_y             | double                   | AsDtype('>f8')\n",
+      "endvtx_z             | double                   | AsDtype('>f8')\n",
+      "energy               | double                   | AsDtype('>f8')\n",
+      "eta                  | double                   | AsDtype('>f8')\n",
+      "event_count          | int32_t                  | AsDtype('>i4')\n",
+      "fromB                | bool                     | AsDtype('bool')\n",
+      "fromD                | bool                     | AsDtype('bool')\n",
+      "fromDecay            | bool                     | AsDtype('bool')\n",
+      "fromHadInt           | bool                     | AsDtype('bool')\n",
+      "fromPV               | bool                     | AsDtype('bool')\n",
+      "fromPairProd         | bool                     | AsDtype('bool')\n",
+      "fromSignal           | bool                     | AsDtype('bool')\n",
+      "fromStrange          | bool                     | AsDtype('bool')\n",
+      "isElectron           | bool                     | AsDtype('bool')\n",
+      "isKaon               | bool                     | AsDtype('bool')\n",
+      "isMuon               | bool                     | AsDtype('bool')\n",
+      "isPion               | bool                     | AsDtype('bool')\n",
+      "isProton             | bool                     | AsDtype('bool')\n",
+      "lost                 | bool                     | AsDtype('bool')\n",
+      "lost_in_track_fit    | bool                     | AsDtype('bool')\n",
+      "match_fraction       | float                    | AsDtype('>f4')\n",
+      "mcp_idx              | int32_t                  | AsDtype('>i4')\n",
+      "mother_id            | int32_t                  | AsDtype('>i4')\n",
+      "mother_key           | int32_t                  | AsDtype('>i4')\n",
+      "originvtx_type       | int32_t                  | AsDtype('>i4')\n",
+      "originvtx_x          | double                   | AsDtype('>f8')\n",
+      "originvtx_y          | double                   | AsDtype('>f8')\n",
+      "originvtx_z          | double                   | AsDtype('>f8')\n",
+      "p                    | double                   | AsDtype('>f8')\n",
+      "phi                  | double                   | AsDtype('>f8')\n",
+      "pid                  | int32_t                  | AsDtype('>i4')\n",
+      "pt                   | double                   | AsDtype('>f8')\n",
+      "px                   | double                   | AsDtype('>f8')\n",
+      "py                   | double                   | AsDtype('>f8')\n",
+      "pz                   | double                   | AsDtype('>f8')\n",
+      "scifi_hit_pos_x_l... | int32_t                  | AsDtype('>i4')\n",
+      "scifi_hit_pos_x      | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "scifi_hit_pos_y_l... | int32_t                  | AsDtype('>i4')\n",
+      "scifi_hit_pos_y      | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "scifi_hit_pos_z_l... | int32_t                  | AsDtype('>i4')\n",
+      "scifi_hit_pos_z      | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "track_p              | double                   | AsDtype('>f8')\n",
+      "track_pt             | double                   | AsDtype('>f8')\n",
+      "tx                   | double                   | AsDtype('>f8')\n",
+      "ty                   | double                   | AsDtype('>f8')\n",
+      "ut_hit_pos_x_length  | int32_t                  | AsDtype('>i4')\n",
+      "ut_hit_pos_x         | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "ut_hit_pos_y_length  | int32_t                  | AsDtype('>i4')\n",
+      "ut_hit_pos_y         | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "ut_hit_pos_z_length  | int32_t                  | AsDtype('>i4')\n",
+      "ut_hit_pos_z         | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "velo_hit_pos_x_le... | int32_t                  | AsDtype('>i4')\n",
+      "velo_hit_pos_x       | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "velo_hit_pos_y_le... | int32_t                  | AsDtype('>i4')\n",
+      "velo_hit_pos_y       | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "velo_hit_pos_z_le... | int32_t                  | AsDtype('>i4')\n",
+      "velo_hit_pos_z       | float[]                  | AsJagged(AsDtype('>f4'))\n",
+      "velo_track_idx       | int32_t                  | AsDtype('>i4')\n",
+      "velo_track_tx        | double                   | AsDtype('>f8')\n",
+      "velo_track_ty        | double                   | AsDtype('>f8')\n",
+      "velo_track_x         | double                   | AsDtype('>f8')\n",
+      "velo_track_y         | double                   | AsDtype('>f8')\n",
+      "velo_track_z         | double                   | AsDtype('>f8')\n"
+     ]
     }
    ],
    "source": [
-    "same = found[found[\"event_count\"]==4]\n",
-    "same[1].tolist()\n"
+    "\n",
+    "file.show()"
    ]
   },
   {