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B tasks

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cetin 1 year ago
parent
e53cd874f8
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a0cd2fb284
1 changed files with 12 additions and 13 deletions
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  1. 25
      B_tasks.ipynb

25
B_tasks.ipynb
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@ -15,7 +15,6 @@
"from mpl_toolkits import mplot3d\n", "from mpl_toolkits import mplot3d\n",
"import itertools\n", "import itertools\n",
"import awkward as ak\n", "import awkward as ak\n",
"import seaborn as sns\n",
"from scipy.optimize import curve_fit\n", "from scipy.optimize import curve_fit\n",
"%matplotlib inline" "%matplotlib inline"
] ]
@ -155,7 +154,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7,
"execution_count": 17,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -172,7 +171,7 @@
"source": [ "source": [
"plt.hist(energyloss_lost, bins=200, density=True, alpha=0.5, histtype='bar', color=\"darkorange\", label=\"lost\")\n", "plt.hist(energyloss_lost, bins=200, density=True, alpha=0.5, histtype='bar', color=\"darkorange\", label=\"lost\")\n",
"plt.hist(energyloss_found, bins=100, density=True, alpha=0.5, histtype='bar', color=\"blue\", label=\"found\")\n", "plt.hist(energyloss_found, bins=100, density=True, alpha=0.5, histtype='bar', color=\"blue\", label=\"found\")\n",
"plt.xticks(np.arange(0,1,0.1), minor=True,)\n",
"plt.xticks(np.arange(0,1.1,0.1), minor=True,)\n",
"plt.yticks(np.arange(0,10,1), minor=True)\n", "plt.yticks(np.arange(0,10,1), minor=True)\n",
"plt.xlabel(r\"$E_\\gamma/E_0$\")\n", "plt.xlabel(r\"$E_\\gamma/E_0$\")\n",
"plt.ylabel(\"counts (normed)\")\n", "plt.ylabel(\"counts (normed)\")\n",
@ -194,7 +193,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 76,
"execution_count": 8,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -223,7 +222,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 77,
"execution_count": 9,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -254,7 +253,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 78,
"execution_count": 10,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -263,7 +262,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 79,
"execution_count": 11,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -308,7 +307,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 80,
"execution_count": 12,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -366,7 +365,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 81,
"execution_count": 13,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -375,7 +374,7 @@
"-4.6785491318157854e-07" "-4.6785491318157854e-07"
] ]
}, },
"execution_count": 81,
"execution_count": 13,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@ -386,7 +385,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 82,
"execution_count": 14,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -434,7 +433,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 83,
"execution_count": 15,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
@ -448,7 +447,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 84,
"execution_count": 16,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {

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