exercise4_2024_june_5.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "203f1328-5230-4012-9912-312cb35ff6d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to JupyROOT 6.30/04\n"
     ]
    }
   ],
   "source": [
    "import ROOT\n",
    "treename = \"Events\"\n",
    "filename = \"root://eospublic.cern.ch//eos/opendata/cms/derived-data/AOD2NanoAODOutreachTool/Run2012BC_DoubleMuParked_Muons.root\"\n",
    "df = ROOT.RDataFrame(treename, filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c6b7d288-02d4-4835-9afb-06c11d11c869",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Take only the first 1M events\n",
    "#df_range = # do something here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e667cc4d-4d18-4bd2-83de-0b56c9bdaf00",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_range = df.Range(1000000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "238b923b-212f-4b8f-937e-30fb3abeab1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Change the first strings of both following operations to proper C++ expressions\n",
    "# Use the points 1, 2 above as hints for what to write in your expression\n",
    "# df_2mu = df_range.Filter(\"DO SOMETHING WITH COLUMN nMuon\", \"Events with exactly two muons\")\n",
    "# df_oc = df_2mu.Filter(\"DO SOMETHING WITH COLUMN Muon_charge\", \"Muons with opposite charge\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0f71af93-b3b9-4c49-9264-461f354e9e8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2mu = df_range.Filter(\"nMuon == 2\", \"Events with exactly two muons\")\n",
    "df_oc = df_2mu.Filter(\"Muon_charge[0] != Muon_charge[1]\", \"Muons with opposite charge\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ce351da0-3824-4a3b-8fd9-08f34c835a68",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_mass = df_oc.Define(\"Dimuon_mass\", \"ROOT::VecOps::InvariantMass(Muon_pt, Muon_eta, Muon_phi, Muon_mass)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c7eb2c5e-2b12-4ca6-bfef-eb403acfcc69",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_mass = df_oc.Define(\"Dimuon_mass\", \"ROOT::VecOps::InvariantMass(Muon_pt, Muon_eta, Muon_phi, Muon_mass)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f6788f1d-b8e7-4999-ae2d-3444d6b71285",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # These are the parameters you would give to a histogram object constructor\n",
    "# # Put them in the right order inside the parentheses below\n",
    "# # You are effectively passing a tuple to the `Histo1D` operation as seen previously in other notebooks\n",
    "# nbins = 30000\n",
    "# low = 0.25\n",
    "# up = 300\n",
    "# histo_name = \"Dimuon_mass\"\n",
    "# histo_title = histo_name\n",
    "\n",
    "# h = df_mass.Histo1D((\"PUT HISTOGRAM PARAMETERS HERE IN THE CORRECT ORDER\"), \"Dimuon_mass\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6bb05374-c200-46bf-810f-289f58f17239",
   "metadata": {},
   "outputs": [],
   "source": [
    "nbins = 30000\n",
    "low = 0.25\n",
    "up = 300\n",
    "histo_name = \"Dimuon_mass\"\n",
    "histo_title = histo_name\n",
    "\n",
    "h = df_mass.Histo1D((histo_name, histo_title, nbins, low, up), \"Dimuon_mass\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c02884d8-f605-4053-9bdd-c7ead863a60f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# report = # your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f1f539ce-8422-4909-966d-88818a3bd4ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "report = df.Report()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9e4b94ef-3149-47fa-8827-7fa133db21dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %%time\n",
    "\n",
    "# ROOT.gStyle.SetOptStat(0)\n",
    "# ROOT.gStyle.SetTextFont(42)\n",
    "# c = ROOT.TCanvas(\"c\", \"\", 800, 700)\n",
    "# c.SetLogx()\n",
    "# c.SetLogy()\n",
    "# h.SetTitle(\"\")\n",
    "# h.GetXaxis().SetTitle(\"m_{#mu#mu} (GeV)\")\n",
    "# h.GetXaxis().SetTitleSize(0.04)\n",
    "# h.GetYaxis().SetTitle(\"N_{Events}\")\n",
    "# h.GetYaxis().SetTitleSize(0.04)\n",
    "# h.Draw()\n",
    "\n",
    "# label = ROOT.TLatex()\n",
    "# label.SetNDC(True)\n",
    "# label.SetTextSize(0.040)\n",
    "# label.DrawLatex(0.100, 0.920, \"#bf{CMS Open Data}\")\n",
    "# label.SetTextSize(0.030)\n",
    "# label.DrawLatex(0.500, 0.920, \"#sqrt{s} = 8 TeV, L_{int} = 11.6 fb^{-1}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "fd3bab32-4372-4dd6-bf63-cdc736d1ca32",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 6.19 s, sys: 284 ms, total: 6.47 s\n",
      "Wall time: 12.5 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<cppyy.gbl.TLatex object at 0x600005b88e00>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "ROOT.gStyle.SetOptStat(0)\n",
    "ROOT.gStyle.SetTextFont(42)\n",
    "c = ROOT.TCanvas(\"c\", \"\", 800, 700)\n",
    "c.SetLogx()\n",
    "c.SetLogy()\n",
    "h.SetTitle(\"\")\n",
    "h.GetXaxis().SetTitle(\"m_{#mu#mu} (GeV)\")\n",
    "h.GetXaxis().SetTitleSize(0.04)\n",
    "h.GetYaxis().SetTitle(\"N_{Events}\")\n",
    "h.GetYaxis().SetTitleSize(0.04)\n",
    "h.Draw()\n",
    "\n",
    "label = ROOT.TLatex()\n",
    "label.SetNDC(True)\n",
    "label.SetTextSize(0.040)\n",
    "label.DrawLatex(0.100, 0.920, \"#bf{CMS Open Data}\")\n",
    "label.SetTextSize(0.030)\n",
    "label.DrawLatex(0.500, 0.920, \"#sqrt{s} = 8 TeV, L_{int} = 11.6 fb^{-1}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d8506628-d87a-41fd-a3f8-a234d97c8be2",
   "metadata": {},
   "outputs": [
    {
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   "cell_type": "code",
   "execution_count": 28,
   "id": "7a0160b1-f8eb-4745-9ce9-cb553d85c41c",
   "metadata": {},
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    {
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     "output_type": "stream",
     "text": [
      "Events with exactly two muons: pass=489473     all=1000000    -- eff=48.95 % cumulative eff=48.95 %\n",
      "Muons with opposite charge: pass=371508     all=489473     -- eff=75.90 % cumulative eff=37.15 %\n",
      "Events with exactly two muons: pass=489473     all=1000000    -- eff=48.95 % cumulative eff=48.95 %\n",
      "Muons with opposite charge: pass=371508     all=489473     -- eff=75.90 % cumulative eff=37.15 %\n"
     ]
    }
   ],
   "source": [
    "report.Print()"
   ]
  }
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