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TP1_e3.ipynb → ref/TP1_e3.ipynb

@@ -5,17 +5,15 @@
    "id": "a1c50278",
    "metadata": {},
    "source": [
-    "<hr style=\"height: 1px;\">\n",
-    "<i>This notebook was authored by the TP1 Course Team, Copyright 2024 KIT ETP All Rights Reserved.</i>\n",
-    "<hr style=\"height: 1px;\">\n",
-    "<br>\n",
+    "# Particle Physics 1\n",
+    "## Exercise 3: EMCAL in a Nutshell\n",
+    "**Institut für Experimentelle Teilchenphysik** <br>\n",
+    "Lecture: Prof. Dr. M. Klute, Dr. P. Goldenzweig <br>\n",
+    "Exercise: Dr. G. De Pietro <br>\n",
+    "Assistance: L. Reuter, J. Eppelt, S. Giappichini, dwong  <br>\n",
+    "Hand-In: 16.11.2023\n",
     "\n",
-    "<h1>(Draft)Exercise 3: EMCAL in a nutshell</h1>\n",
     "\n",
-    "Some helpful links:<br>\n",
-    " * Google Colab (https://colab.research.google.com/): for Python development in your web-browser<br>\n",
-    " * Miniconda (https://docs.conda.io/en/latest/miniconda.html): a free minimal installer for conda<br>\n",
-    " * Numpy (https://numpy.org/doc/stable/user/quickstart.html): a widely used library for mathematical operations in Python<br>\n",
     "\n",
     "<h3>Navigation</h3>\n",
     "\n",
@@ -35,6 +33,71 @@
     "</table>"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b82039ad",
+   "metadata": {},
+   "source": [
+    "### Setup\n",
+    "\n",
+    "We will give a brief introduction to EMCAL and clustering. In the process, numpy, sklearn, uproot will be used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b3619d05",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# !pip install sklearn\n",
+    "# !pip install uproot\n",
+    "import numpy as np\n",
+    "from sklearn.cluster import KMeans\n",
+    "import uproot\n",
+    "import matplotlib.pyplot as plt\n",
+    "import geant4_simulation as g4sim"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "329972a6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eea2907e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ad70f3aa-e25b-4929-b97b-b33325e649d8",
+   "metadata": {},
+   "source": [
+    "<a name='section_1_0'></a>\n",
+    "<hr style=\"height: 1px;\">\n",
+    "\n",
+    "\n",
+    "## <h2 style=\"border:1px; border-style:solid; padding: 0.25em; color: #FFFFFF; background-color: #FFA500\">Introduction to Geant4</h2>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "78f00792-6cdd-4419-b204-cae3a4dd9a1f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create an instance of the ApplicationManager class.\n",
+    "g4 = g4sim.ApplicationManager()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "47058a39",
@@ -332,7 +395,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.15"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,

ref/test.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "de76542a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: scikit-learn in /opt/conda/lib/python3.9/site-packages (1.5.2)\n",
+      "Requirement already satisfied: joblib>=1.2.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (1.4.2)\n",
+      "Requirement already satisfied: scipy>=1.6.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (1.7.2)\n",
+      "Requirement already satisfied: numpy>=1.19.5 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (1.21.4)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in /opt/conda/lib/python3.9/site-packages (from scikit-learn) (3.5.0)\n",
+      "Requirement already satisfied: uproot in /opt/conda/lib/python3.9/site-packages (5.4.1)\n",
+      "Requirement already satisfied: xxhash in /opt/conda/lib/python3.9/site-packages (from uproot) (3.5.0)\n",
+      "Requirement already satisfied: numpy in /opt/conda/lib/python3.9/site-packages (from uproot) (1.21.4)\n",
+      "Requirement already satisfied: fsspec in /opt/conda/lib/python3.9/site-packages (from uproot) (2024.10.0)\n",
+      "Requirement already satisfied: cramjam>=2.5.0 in /opt/conda/lib/python3.9/site-packages (from uproot) (2.9.0)\n",
+      "Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/lib/python3.9/site-packages (from uproot) (4.12.2)\n",
+      "Requirement already satisfied: packaging in /opt/conda/lib/python3.9/site-packages (from uproot) (21.0)\n",
+      "Requirement already satisfied: awkward>=2.4.6 in /opt/conda/lib/python3.9/site-packages (from uproot) (2.6.9)\n",
+      "Requirement already satisfied: importlib-metadata>=4.13.0 in /opt/conda/lib/python3.9/site-packages (from awkward>=2.4.6->uproot) (8.5.0)\n",
+      "Requirement already satisfied: awkward-cpp==39 in /opt/conda/lib/python3.9/site-packages (from awkward>=2.4.6->uproot) (39)\n",
+      "Requirement already satisfied: zipp>=3.20 in /opt/conda/lib/python3.9/site-packages (from importlib-metadata>=4.13.0->awkward>=2.4.6->uproot) (3.20.2)\n",
+      "Requirement already satisfied: pyparsing>=2.0.2 in /opt/conda/lib/python3.9/site-packages (from packaging->uproot) (2.4.7)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# !pip install scikit-learn\n",
+    "# !pip install uproot\n",
+    "import numpy as np\n",
+    "from sklearn.cluster import KMeans\n",
+    "import uproot\n",
+    "import matplotlib.pyplot as plt\n",
+    "import geant4_simulation as g4sim"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d090ee8f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "g4 = g4sim.ApplicationManager()\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}