{ "cells": [ { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "TTTT Analysis\n", "======\n", "This Notebook is simply a playground to examine the resulting histograms from the main TTTT analysis executable." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "application/javascript": [ "\n", "require(['notebook'],\n", " function() {\n", " IPython.CodeCell.config_defaults.highlight_modes['magic_text/x-c++src'] = {'reg':[/^%%cpp/]};\n", " console.log(\"JupyROOT - %%cpp magic configured\");\n", " }\n", ");\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Welcome to JupyROOT 6.08/02\n" ] } ], "source": [ "import ROOT\n", "from IPython.display import display, display_markdown\n", "%load_ext autoreload\n", "%autoreload 2\n", "from utils import HistCollection as HC\n", "from utils import show_event, CANVAS" ] }, { "cell_type": "markdown", "metadata": { "deletable": true, "editable": true }, "source": [ "First, we need to load the pre-processed datafiles. These will generally contain a set of histograms of various quantities calculated from data in the input MiniTrees. However, they can also contain things besides histograms. For example, C++ STL containers can be serialized to the ROOT file to save things such as counters or even \"raw\" event information." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading unchanged result file ../data/TTZToLLNuNu_treeProducerSusyMultilepton_tree_result.root\n", "Loading unchanged result file ../data/TTWToLNu_treeProducerSusyMultilepton_tree_result.root\n", "Loading unchanged result file ../data/TTTT_ext_treeProducerSusyMultilepton_tree_result.root\n" ] } ], "source": [ "hists_TTZ = HC(\"TTZ\", \"../data/TTZToLLNuNu_treeProducerSusyMultilepton_tree.root\")\n", "hists_TTW = HC(\"TTW\", \"../data/TTWToLNu_treeProducerSusyMultilepton_tree.root\")\n", "hists_TTTT = HC(\"TTTT\", \"../data/TTTT_ext_treeProducerSusyMultilepton_tree.root\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false, "deletable": true, "editable": true, "scrolled": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABwgAAAHCCAIAAAB0Ugo5AAAABmJLR0QAAAAAAAD5Q7t/AAAgAElE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\nAQAAAIAdMQoAAAAA7ARc68j5ozQXYAAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "CANVAS.Clear()\n", "HC.stack_hist_array(*zip(('jet_count_os_dilepton','Jet Multiplicity for Opposite-Sign Dilepton Events'),\n", " ('jet_count_ss_dilepton','Jet Multiplicity for Same-Sign Dilepton Events'),\n", " ('jet_count_trilepton', 'Jet Multiplicity for Trilepton Events')\n", " ),\n", " normalize_to=1,\n", " enable_fill=True,\n", " shape=(3,1),\n", " )\n", "CANVAS.Draw()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "deletable": true, "editable": true, "scrolled": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABwgAAAHCCAIAAAB0Ugo5AAAABmJLR0QAAAAAAAD5Q7t/AAAgAElE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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "CANVAS.Clear()\n", "HC.stack_hist_array(*zip(('jet_count_os_dilepton','Jet Multiplicity for Opposite-Sign Dilepton Events'),\n", " ('jet_count_ss_dilepton','Jet Multiplicity for Same-Sign Dilepton Events'),\n", " ('jet_count_trilepton', 'Jet Multiplicity for Trilepton Events')\n", " ),\n", " normalize_to=1,\n", " enable_fill=True,\n", " shape=(3,1),\n", " draw_option='nostack',\n", " )\n", "CANVAS.Draw()" ] }, { "cell_type": "markdown", "metadata": { "variables": { "show_event(hists_TTTT, 7)": "", "show_event(hists_TTW, 7)": "", "show_event(hists_TTZ, 7)": "" } }, "source": [ "We can use the `show_event` function to look at the Generator-Level particles for the event. They are color-coded based on their pt relative to the maximum pt of a particles in the event. Green means higher, red means lower\n", "\n", " - TTZ Generator-Level Particles\n", "{{show_event(hists_TTZ, 7)}}\n", "-----------------------------------------\n", " - TTW Generator-Level Particles\n", "{{show_event(hists_TTW, 7)}}\n", "-----------------------------------------\n", " - TTTT Generator-Level Particles\n", "{{show_event(hists_TTTT, 7)}}" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "deletable": true, "editable": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAHCCAIAAAC8ESAzAAAABmJLR0QAAAAAAAD5Q7t/AAAdJUlE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\nAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "HC.stack_hist(\"lepton_count\", title=\"Lepton Multiplicity\",\n", " enable_fill=True, normalize_to=1, make_legend=True, draw=True)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false, "deletable": true, "editable": true, "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAHCCAIAAAC8ESAzAAAABmJLR0QAAAAAAAD5Q7t/AAAYb0lE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\nQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "HC.stack_hist(\"b_jet_count\", title=\"B-Jet Multiplicity\",\n", " enable_fill=True, normalize_to=1, make_legend=True, draw=True)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }