L2Muons_PtVsD0.ipynb

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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "L2Muons $p_{T}$ Vs $d_{0}$"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import ROOT\n",
      "from ROOT import TH1F, TH2F, TEfficiency, TLegend, TCanvas\n",
      "import rootnotes\n",
      "import rootprint\n",
      "from RefittedStandAloneMuons import *\n",
      "from ProgressBar import ProgressBar\n",
      "import time\n",
      "\n",
      "ROOT.gROOT.LoadMacro(\"interfaceRefittedStandAloneMuonsTriggerObjectPt/Loader.C+\")\n",
      "\n",
      "# Bins in the histograms\n",
      "nBins = 25"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "skip"
      }
     },
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "signalMC = True\n",
      "\n",
      "# input file and tree (1000, 350)\n",
      "inputFile = ROOT.TFile(\"/Users/demattia/Tree_L2Muons/histograms.root\", \"READ\")\n",
      "\n",
      "directory = inputFile.Get(\"muTrackAnalysis\")\n",
      "tree = directory.Get(\"outputTree\")\n",
      "\n",
      "# Global variables\n",
      "chosenPdgId = 13\n",
      "\n",
      "signalPdgIds = []\n",
      "# signalPdgIds.append(6001113)\n",
      "signalPdgIds.append(6002113)\n",
      "# signalPdgIds.append(6003113)\n",
      "# signalPdgIds.append(6004113)\n",
      "\n",
      "signalTrigger = \"HLT_L2DoubleMu23_NoVertex_2Cha_Angle2p5_v2\"\n",
      "\n",
      "# Acceptance cuts (for muons)\n",
      "ptCut = 26.\n",
      "etaCut = 2.4\n",
      "LxyCut = 1000000.\n",
      "minStationsWithValidHits = 2\n",
      "isoCut = 0.1\n",
      "cosineCut = -0.79\n",
      "vertexChi2Cut = 5.\n",
      "deltaRCut = 0.2\n",
      "massCut = 15."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Check the correlation between RSA and Gen Pt and D0"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "hGenD0VsD0 = ROOT.TH2F(\"PtVsD0\", \"PtVsD0\", 50, 0, 300, 50, 0, 400)\n",
      "hGenD0VsGenPt = ROOT.TH2F(\"GenD0VsGenPt\", \"GenD0VsGenPt\", 50, 0, 300, 50, 0, 400)\n",
      "hGenLxyVsGenPt = ROOT.TH2F(\"GenLxyVsGenPt\", \"GenLxyVsGenPt\", 50, 0, 400, 50, 0, 300)\n",
      "hGenLxyVsPt = ROOT.TH2F(\"GenLxyVsPt\", \"GenLxyVsPt\", 50, 0, 400, 50, 0, 300)\n",
      "hD0VsPt = ROOT.TH2F(\"D0VsPt\", \"D0VsPt\", 50, 0, 300, 50, 0, 500)\n",
      "hGenEta = ROOT.TH1F(\"GenEta\", \"GenEta\", 100, -3, 3)\n",
      "\n",
      "hGenPtVsPt_genD0_0_20 = ROOT.TH2F(\"GenPtVsPt_genD0_0_20\", \"GenPt_genD0_0_20\", 50, 0, 300, 50, 0, 300)\n",
      "hGenPtVsPt_genD0_20_50 = ROOT.TH2F(\"GenPtVsPt_genD0_20_50\", \"GenPt_genD0_20_50\", 50, 0, 300, 50, 0, 300)\n",
      "hGenPtVsPt_genD0_50_100 = ROOT.TH2F(\"GenPtVsPt_genD0_50_100\", \"GenPt_genD0_50_100\", 50, 0, 300, 50, 0, 300)\n",
      "hGenPtVsPt_genD0_100_200 = ROOT.TH2F(\"GenPtVsPt_genD0_100_200\", \"GenPt_genD0_100_200\", 50, 0, 300, 50, 0, 300)\n",
      "hGenPtVsPt_genD0_200 = ROOT.TH2F(\"GenPtVsPt_genD0_200\", \"GenPt_genD0_200\", 50, 0, 300, 50, 0, 300)\n",
      "\n",
      "hGenPt_genD0_0_20 = ROOT.TH1F(\"GenPt_genD0_0_20\", \"GenPt_genD0_0_20\", 100, 0, 1000)\n",
      "hGenPt_genD0_20_50 = ROOT.TH1F(\"GenPt_genD0_20_50\", \"GenPt_genD0_20_50\", 100, 0, 1000)\n",
      "hGenPt_genD0_50_100 = ROOT.TH1F(\"GenPt_genD0_50_100\", \"GenPt_genD0_50_100\", 100, 0, 1000)\n",
      "hGenPt_genD0_100_200 = ROOT.TH1F(\"GenPt_genD0_100_200\", \"GenPt_genD0_100_200\", 100, 0, 1000)\n",
      "hGenPt_genD0_200 = ROOT.TH1F(\"GenPt_genD0_200\", \"GenPt_genD0_200\", 100, 0, 1000)\n",
      "\n",
      "hPt_genD0_0_20 = ROOT.TH1F(\"Pt_genD0_0_20\", \"Pt_genD0_0_20\", 100, 0, 1000)\n",
      "hPt_genD0_20_50 = ROOT.TH1F(\"Pt_genD0_20_50\", \"Pt_genD0_20_50\", 100, 0, 1000)\n",
      "hPt_genD0_50_100 = ROOT.TH1F(\"Pt_genD0_50_100\", \"Pt_genD0_50_100\", 100, 0, 1000)\n",
      "hPt_genD0_100_200 = ROOT.TH1F(\"Pt_genD0_100_200\", \"Pt_genD0_100_200\", 100, 0, 1000)\n",
      "hPt_genD0_200 = ROOT.TH1F(\"Pt_genD0_200\", \"Pt_genD0_200\", 100, 0, 1000)\n",
      "\n",
      "hDeltaPtOverPt_genD0_0_20 = ROOT.TH1F(\"DeltaPtOverPt_genD0_0_20\", \"DeltaPtOverPt_genD0_0_20\", 100, -1, 1)\n",
      "hDeltaPtOverPt_genD0_20_50 = ROOT.TH1F(\"DeltaPtOverPt_genD0_20_50\", \"DeltaPtOverPt_genD0_20_50\", 100, -1, 1)\n",
      "hDeltaPtOverPt_genD0_50_100 = ROOT.TH1F(\"DeltaPtOverPt_genD0_50_100\", \"DeltaPtOverPt_genD0_50_100\", 100, -1, 1)\n",
      "hDeltaPtOverPt_genD0_100_200 = ROOT.TH1F(\"DeltaPtOverPt_genD0_100_200\", \"DeltaPtOverPt_genD0_100_200\", 100, -1, 1)\n",
      "hDeltaPtOverPt_genD0_200 = ROOT.TH1F(\"DeltaPtOverPt_genD0_200\", \"DeltaPtOverPt_genD0_200\", 100, -1, 1)\n",
      "\n",
      "num = 0\n",
      "p = ProgressBar(tree.GetEntries())\n",
      "for event in tree:\n",
      "    if num%(event.GetEntries()/100) == 0:\n",
      "        p.animate(num)\n",
      "    num += 1\n",
      "    # if num == 100000:\n",
      "    #     break\n",
      "    \n",
      "    for lepton in event.candidates.leptons_:\n",
      "        if lepton.isStandAloneMuon:\n",
      "            if abs(lepton.genPdgId) == 13 and lepton.genSignalOriginPdgId == 6002113:\n",
      "                if (lepton.dtStationsWithValidHits+lepton.cscStationsWithValidHits) < 2: continue\n",
      "                if lepton.numberOfValidMuonHits <= 17: continue\n",
      "                # if abs(lepton.genEta) > 0.5: continue\n",
      "                if lepton.triggerMatch != 1: continue\n",
      "                hGenD0VsGenPt.Fill(abs(lepton.genD0), lepton.genPt)\n",
      "                hGenD0VsD0.Fill(abs(lepton.genD0), abs(lepton.d0_PV))\n",
      "                hD0VsPt.Fill(abs(lepton.d0_PV), lepton.triggerObjectPt)\n",
      "                hGenLxyVsPt.Fill(abs(lepton.genSignalOriginLxy), lepton.triggerObjectPt)\n",
      "                hGenLxyVsGenPt.Fill(abs(lepton.genSignalOriginLxy), lepton.genPt)\n",
      "                hGenEta.Fill(lepton.genEta)\n",
      "                \n",
      "                absGenD0 = abs(lepton.genD0)\n",
      "                genPt = lepton.genPt\n",
      "                pt = lepton.triggerObjectPt\n",
      "                if absGenD0 < 20:\n",
      "                    hGenPtVsPt_genD0_0_20.Fill(pt, genPt)\n",
      "                    hGenPt_genD0_0_20.Fill(genPt)\n",
      "                    hPt_genD0_0_20.Fill(pt)\n",
      "                    hDeltaPtOverPt_genD0_0_20.Fill((pt-genPt)/genPt)\n",
      "                elif absGenD0 < 50:\n",
      "                    hGenPtVsPt_genD0_20_50.Fill(lepton.pt, lepton.genPt)\n",
      "                    hGenPt_genD0_20_50.Fill(lepton.genPt)\n",
      "                    hPt_genD0_20_50.Fill(pt)\n",
      "                    hDeltaPtOverPt_genD0_20_50.Fill((pt-genPt)/genPt)\n",
      "                elif absGenD0 < 100:\n",
      "                    hGenPtVsPt_genD0_50_100.Fill(pt, lepton.genPt)\n",
      "                    hGenPt_genD0_50_100.Fill(lepton.genPt)\n",
      "                    hPt_genD0_50_100.Fill(pt)\n",
      "                    hDeltaPtOverPt_genD0_50_100.Fill((pt-genPt)/genPt)\n",
      "                elif absGenD0 < 200:\n",
      "                    hGenPtVsPt_genD0_100_200.Fill(pt, lepton.genPt)\n",
      "                    hGenPt_genD0_100_200.Fill(lepton.genPt)\n",
      "                    hPt_genD0_100_200.Fill(pt)\n",
      "                    hDeltaPtOverPt_genD0_100_200.Fill((pt-genPt)/genPt)\n",
      "                else:\n",
      "                    hGenPtVsPt_genD0_200.Fill(pt, lepton.genPt)\n",
      "                    hGenPt_genD0_200.Fill(lepton.genPt)\n",
      "                    hPt_genD0_200.Fill(pt)\n",
      "                    hDeltaPtOverPt_genD0_200.Fill((pt-genPt)/genPt)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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       "stream": "stdout",
       "text": [
        "\r",
        " [**********************68%********               ]  335921 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************69%********               ]  340861 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************70%*********              ]  345801 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************71%*********              ]  350741 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************72%**********             ]  355681 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************73%**********             ]  360621 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************74%***********            ]  365561 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************75%***********            ]  370501 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************76%***********            ]  375441 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************77%************           ]  380381 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************78%************           ]  385321 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************79%*************          ]  390261 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************80%*************          ]  395201 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************81%**************         ]  400141 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************82%**************         ]  405081 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************83%***************        ]  410021 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************84%***************        ]  414961 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************85%****************       ]  419901 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************86%****************       ]  424841 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************87%*****************      ]  429781 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************88%*****************      ]  434721 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************89%******************     ]  439661 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************90%******************     ]  444601 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************91%*******************    ]  449541 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************92%*******************    ]  454481 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************93%********************   ]  459421 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************94%********************   ]  464361 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************95%*********************  ]  469301 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************96%*********************  ]  474241 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************97%********************** ]  479181 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************98%********************** ]  484121 of 494029 complete"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\r",
        " [**********************99%***********************]  489061 of 494029 complete"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "c = TCanvas(\"c\", \"c\", 800, 1200)\n",
      "c.Divide(2, 3)\n",
      "c.cd(1)\n",
      "hGenD0VsD0.Draw(\"COLZ\")\n",
      "c.cd(2)\n",
      "hGenD0VsGenPt.Draw(\"COLZ\")\n",
      "c.cd(3)\n",
      "hD0VsPt.Draw(\"COLZ\")\n",
      "c.cd(4)\n",
      "hGenLxyVsPt.Draw(\"COLZ\")\n",
      "c.cd(5)\n",
      "hGenLxyVsGenPt.Draw(\"COLZ\")\n",
      "c.cd(6)\n",
      "hGenEta.Draw()\n",
      "c"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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mNgK8fPky70iV/6x93zdN49rdjbqupV2OqWd0CsBiiFQAksiVVMn27Yd+NNsi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\n",
       "prompt_number": 4,
       "text": [
        "<ROOT.TCanvas object (\"c\") at 0x7ff59f2069f0>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cc = TCanvas(\"cc\", \"cc\", 800, 800)\n",
      "cc.Divide(2, 3)\n",
      "cc.cd(1)\n",
      "hGenPtVsPt_genD0_0_20.Draw(\"COLZ\")\n",
      "cc.cd(2)\n",
      "hGenPtVsPt_genD0_20_50.Draw(\"COLZ\")\n",
      "cc.cd(3)\n",
      "hGenPtVsPt_genD0_50_100.Draw(\"COLZ\")\n",
      "cc.cd(4)\n",
      "hGenPtVsPt_genD0_100_200.Draw(\"COLZ\")\n",
      "cc.cd(5)\n",
      "hGenPtVsPt_genD0_200.Draw(\"COLZ\")\n",
      "cc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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Zi515aALgqdEK5Wo43PrIiqMYm3pXeztpJsCzBJXdBysNEwxvJM/0/8kANPEQ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\nQFIFABBAUgUAEEBSBQAQQFIFABDgf13m9cWE/6SAAAAAAElFTkSuQmCC\n",
       "prompt_number": 5,
       "text": [
        "<ROOT.TCanvas object (\"cc\") at 0x7ff59ebd9c20>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ccc = TCanvas(\"ccc\", \"ccc\", 800, 1200)\n",
      "ccc.Divide(2, 3)\n",
      "ccc.cd(1)\n",
      "hPt_genD0_0_20.Draw()\n",
      "hGenPt_genD0_0_20.Draw(\"same\")\n",
      "hGenPt_genD0_0_20.SetLineColor(2)\n",
      "ccc.cd(2)\n",
      "hPt_genD0_20_50.Draw()\n",
      "hGenPt_genD0_20_50.Draw(\"same\")\n",
      "hGenPt_genD0_20_50.SetLineColor(2)\n",
      "ccc.cd(3)\n",
      "hPt_genD0_50_100.Draw()\n",
      "hGenPt_genD0_50_100.Draw(\"same\")\n",
      "hGenPt_genD0_50_100.SetLineColor(2)\n",
      "ccc.cd(4)\n",
      "hPt_genD0_100_200.Draw()\n",
      "hGenPt_genD0_100_200.Draw(\"same\")\n",
      "hGenPt_genD0_100_200.SetLineColor(2)\n",
      "ccc.cd(5)\n",
      "hPt_genD0_200.Draw()\n",
      "hGenPt_genD0_200.Draw(\"same\")\n",
      "hGenPt_genD0_200.SetLineColor(2)\n",
      "ccc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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p3o4bP+Yn8PXsU8XhyaKAjd3pGheI2MMBkiqd6vkb3x0++gUtDAgaKzwcqTNr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\n",
       "prompt_number": 6,
       "text": [
        "<ROOT.TCanvas object (\"ccc\") at 0x7ff59ebb01c0>"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cccc = TCanvas(\"cccc\", \"cccc\", 800, 1200)\n",
      "cccc.Divide(2, 3)\n",
      "cccc.cd(1)\n",
      "hDeltaPtOverPt_genD0_0_20.Draw()\n",
      "cccc.cd(2)\n",
      "hDeltaPtOverPt_genD0_20_50.Draw()\n",
      "cccc.cd(3)\n",
      "hDeltaPtOverPt_genD0_50_100.Draw()\n",
      "cccc.cd(4)\n",
      "hDeltaPtOverPt_genD0_100_200.Draw()\n",
      "cccc.cd(5)\n",
      "hDeltaPtOverPt_genD0_200.Draw()\n",
      "cccc.cd(6)\n",
      "cccc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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7P0FE5T8RC4xV1PHlK1zhSZXPfrI+NhSu8KTK31sGLVUm/4TU5F7x7cF7AmQQ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\nB8enlReQMjeTAAAAAElFTkSuQmCC\n",
       "prompt_number": 7,
       "text": [
        "<ROOT.TCanvas object (\"cccc\") at 0x7ff59af3f660>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cOverlay = TCanvas(\"cOverlay\", \"cOverlay\", 800, 800)\n",
      "h4 = hDeltaPtOverPt_genD0_200.DrawNormalized()\n",
      "h4.GetXaxis().SetTitle(\"#Delta p_{T}/p_{T}\")\n",
      "h4.GetYaxis().SetTitle(\"Arbitrary Units\")\n",
      "h4.GetYaxis().SetTitleOffset(1.3)\n",
      "h0 = hDeltaPtOverPt_genD0_0_20.DrawNormalized(\"same\")\n",
      "h1 = hDeltaPtOverPt_genD0_20_50.DrawNormalized(\"same\")\n",
      "h1.SetLineColor(2)\n",
      "h2 = hDeltaPtOverPt_genD0_50_100.DrawNormalized(\"same\")\n",
      "h2.SetLineColor(3)\n",
      "h3 = hDeltaPtOverPt_genD0_100_200.DrawNormalized(\"same\")\n",
      "h3.SetLineColor(4)\n",
      "h4.SetLineColor(6)\n",
      "\n",
      "leg = ROOT.TLegend(0.6,0.6,0.88,0.92);\n",
      "leg.AddEntry(h0,\"|d^{gen}_{0}| < 20 cm\",\"l\");\n",
      "leg.AddEntry(h1,\"20 < |d^{gen}_{0}| < 50 cm\",\"l\");\n",
      "leg.AddEntry(h2,\"50 < |d^{gen}_{0}| < 100 cm\",\"l\");\n",
      "leg.AddEntry(h3,\"100 < |d^{gen}_{0}| < 200 cm\",\"l\");\n",
      "leg.AddEntry(h4,\"|d^{gen}_{0}| > 200 cm\",\"l\");\n",
      "leg.SetFillColor(0)\n",
      "leg.SetBorderSize(0)\n",
      "leg.Draw(\"same\");\n",
      "\n",
      "cOverlay.SaveAs(\"PtBiasVsD0_StandAloneMuons.C\")\n",
      "cOverlay.SaveAs(\"PtBiasVsD0_StandAloneMuons.root\")\n",
      "cOverlay.SaveAs(\"PtBiasVsD0_StandAloneMuons.pdf\")\n",
      "\n",
      "cOverlay"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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LMPbzNlEsSrzd2499R3pv3/CPA689Y/lswbHth1AFID/2+9PeYktADcG4RLjxat6Zwu0k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\n/rUQqgAAmYm8yu4MiftNYi/iW3XHsXIPp1T7DCs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       "prompt_number": 8,
       "text": [
        "<ROOT.TCanvas object (\"cOverlay\") at 0x7ff59ee13e40>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    }
   ],
   "metadata": {}
  }
 ]
}