diff --git a/codigo/Untitled.ipynb b/codigo/Untitled.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..a3d088d501ddf86a6192aee51797b2758e23c37f
--- /dev/null
+++ b/codigo/Untitled.ipynb
@@ -0,0 +1,1192 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%jsroot on"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This is a very simple example of convertt a CSV file to ROOT format and use it to produce some plots"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#include \"Riostream.h\"\n",
+ "#include \"TString.h\"\n",
+ "#include \"TFile.h\"\n",
+ "#include \"TTree.h\"\n",
+ "#include \"TSystem.h\"\n",
+ "#include <stdio.h>\n",
+ "#include <stdlib.h>\n",
+ "#include <iostream>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We download the CSV ATLAS Open Data file. This is the input of a web-app called Histogram analysers, for the 8 TeV release"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "--2021-02-26 03:32:07-- http://opendata.atlas.cern/visualisations/CrossFilter/outreach.csv\n",
+ "Resolving opendata.atlas.cern (opendata.atlas.cern)... 188.184.101.70\n",
+ "Connecting to opendata.atlas.cern (opendata.atlas.cern)|188.184.101.70|:80... connected.\n",
+ "HTTP request sent, awaiting response... 200 OK\n",
+ "Length: 8802904 (8.4M) [text/csv]\n",
+ "Saving to: ‘outreach.csv’\n",
+ "\n",
+ " 0K .......... .......... .......... .......... .......... 0% 135K 63s\n",
+ " 50K .......... .......... .......... .......... .......... 1% 271K 47s\n",
+ " 100K .......... .......... .......... .......... .......... 1% 11.4M 32s\n",
+ " 150K .......... .......... .......... .......... .......... 2% 1.16M 25s\n",
+ " 200K .......... .......... .......... .......... .......... 2% 342K 25s\n",
+ " 250K .......... .......... .......... .......... .......... 3% 6.74M 21s\n",
+ " 300K .......... .......... .......... .......... .......... 4% 5.98M 18s\n",
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+ " 4200K .......... .......... .......... .......... .......... 49% 724K 2s\n",
+ " 4250K .......... .......... .......... .......... .......... 50% 4.12M 2s\n",
+ " 4300K .......... .......... .......... .......... .......... 50% 6.44M 2s\n",
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+ " 4400K .......... .......... .......... .......... .......... 51% 5.32M 2s\n",
+ " 4450K .......... .......... .......... .......... .......... 52% 3.07M 2s\n",
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+ " 4700K .......... .......... .......... .......... .......... 55% 8.04M 2s\n",
+ " 4750K .......... .......... .......... .......... .......... 55% 3.72M 2s\n",
+ " 4800K .......... .......... .......... .......... .......... 56% 5.06M 2s\n",
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+ " 4900K .......... .......... .......... .......... .......... 57% 718K 2s\n",
+ " 4950K .......... .......... .......... .......... .......... 58% 4.83M 2s\n",
+ " 5000K .......... .......... .......... .......... .......... 58% 7.61M 2s\n",
+ " 5050K .......... .......... .......... .......... .......... 59% 4.74M 2s\n",
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+ " 5150K .......... .......... .......... .......... .......... 60% 4.69M 2s\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 5200K .......... .......... .......... .......... .......... 61% 2.36M 2s\n",
+ " 5250K .......... .......... .......... .......... .......... 61% 116M 2s\n",
+ " 5300K .......... .......... .......... .......... .......... 62% 21.3M 2s\n",
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+ " 7350K .......... .......... .......... .......... .......... 86% 4.04M 0s\n",
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+ " 7550K .......... .......... .......... .......... .......... 88% 17.0M 0s\n",
+ " 7600K .......... .......... .......... .......... .......... 88% 7.62M 0s\n",
+ " 7650K .......... .......... .......... .......... .......... 89% 4.66M 0s\n",
+ " 7700K .......... .......... .......... .......... .......... 90% 5.98M 0s\n",
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+ " 7900K .......... .......... .......... .......... .......... 92% 6.19M 0s\n",
+ " 7950K .......... .......... .......... .......... .......... 93% 731K 0s\n",
+ " 8000K .......... .......... .......... .......... .......... 93% 3.69M 0s\n",
+ " 8050K .......... .......... .......... .......... .......... 94% 5.58M 0s\n",
+ " 8100K .......... .......... .......... .......... .......... 94% 7.95M 0s\n",
+ " 8150K .......... .......... .......... .......... .......... 95% 7.62M 0s\n",
+ " 8200K .......... .......... .......... .......... .......... 95% 2.87M 0s\n",
+ " 8250K .......... .......... .......... .......... .......... 96% 9.14M 0s\n",
+ " 8300K .......... .......... .......... .......... .......... 97% 4.88M 0s\n",
+ " 8350K .......... .......... .......... .......... .......... 97% 8.98M 0s\n",
+ " 8400K .......... .......... .......... .......... .......... 98% 5.56M 0s\n",
+ " 8450K .......... .......... .......... .......... .......... 98% 7.45M 0s\n",
+ " 8500K .......... .......... .......... .......... .......... 99% 6.10M 0s\n",
+ " 8550K .......... .......... .......... .......... ...... 100% 3.57M=3.3s\n",
+ "\n",
+ "2021-02-26 03:32:25 (2.53 MB/s) - ‘outreach.csv’ saved [8802904/8802904]\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "//This two lines can be commented out. You just need it once, and in case the CVS file was not provided already\n",
+ "system(\"rm outreach.csv\");\n",
+ "system(\"wget http://opendata.atlas.cern/visualisations/CrossFilter/outreach.csv\");\n",
+ "\n",
+ "//If the file is downloaded with the line above, you *need* to remove the first line of the outreach.csv\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Let's tell ROOT that the file is a CSV file, i.e. the values are separated by commmas"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "TString dir = gSystem->UnixPathName(__FILE__);\n",
+ "dir.ReplaceAll(\"outreach.C\",\"\");\n",
+ "dir.ReplaceAll(\"/./\",\"/\");"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We define our new ROOT file where to put the information"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "TFile *file = new TFile(\"outreach.root\",\"RECREATE\");"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The next cell is very important, it shows the name and type of varibles that the CSV file has so the new ROOT-tree can be filled with the correct information "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Warning in <TTree::ReadStream>: Couldn't read formatted data in \"type\" for branch type on line 1; ignoring line\n",
+ "Warning in <TTree::ReadStream>: Read too few columns (1 < 10) in line 1; ignoring line\n"
+ ]
+ }
+ ],
+ "source": [
+ "TTree *tree = new TTree(\"ntuple\",\"data from csv file\");\n",
+ "// The file inside has ----> type, Channel, NJets, MET, Mll, LepDeltaPhi, METLLDeltaPhi, SumLepPt, BTags, weight\n",
+ "tree->ReadFile(\"outreach.csv\",\"type/I:Channel/I:NJets/I:MET/F:Mll/F:LepDeltaPhi/F:METLLDeltaPhi/F:SumLepPt/F:BTags/F:weight/F\",',');\n",
+ "file->Write();\n",
+ "\n",
+ "// type,Channel,NJets,MET,Mll,LepDeltaPhi,METLLDeltaPhi,SumLepPt,BTags,weight"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Please, notice that the line above generates a warning. This is because the first line of our CSV file contains the name of the colunms, but this is safely ignored by ROOT."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "//tree->Print(\"1\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "TFile *file2 = TFile::Open(\"outreach.root\"); \n",
+ "TTree *tree2 = (TTree*) file2->Get(\"ntuple\");\n",
+ "tree2->Print(\"1\") // si lo dejo abajo muere al correr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "TChain *dataset = new TChain(\"ntuple\");"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dataset->Add(\"outreach.root\"); // "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "******************************************************************************\n",
+ "*Chain :ntuple : outreach.root *\n",
+ "******************************************************************************\n",
+ "******************************************************************************\n",
+ "*Tree :ntuple : data from csv file *\n",
+ "*Entries : 196491 : Total = 7887046 bytes File Size = 3196086 *\n",
+ "* : : Tree compression factor = 2.47 *\n",
+ "******************************************************************************\n",
+ "*Br 0 :type : type/I *\n",
+ "*Entries : 196491 : Total Size= 788590 bytes File Size = 6530 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 120.64 *\n",
+ "*............................................................................*\n",
+ "*Br 1 :Channel : Channel/I *\n",
+ "*Entries : 196491 : Total Size= 788677 bytes File Size = 46181 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 17.06 *\n",
+ "*............................................................................*\n",
+ "*Br 2 :NJets : NJets/I *\n",
+ "*Entries : 196491 : Total Size= 788619 bytes File Size = 105239 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 7.49 *\n",
+ "*............................................................................*\n",
+ "*Br 3 :MET : MET/F *\n",
+ "*Entries : 196491 : Total Size= 788561 bytes File Size = 543386 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 1.45 *\n",
+ "*............................................................................*\n",
+ "*Br 4 :Mll : Mll/F *\n",
+ "*Entries : 196491 : Total Size= 788561 bytes File Size = 527695 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 1.49 *\n",
+ "*............................................................................*\n",
+ "*Br 5 :LepDeltaPhi : LepDeltaPhi/F *\n",
+ "*Entries : 196491 : Total Size= 788793 bytes File Size = 336811 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 2.34 *\n",
+ "*............................................................................*\n",
+ "*Br 6 :METLLDeltaPhi : METLLDeltaPhi/F *\n",
+ "*Entries : 196491 : Total Size= 788851 bytes File Size = 404292 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 1.95 *\n",
+ "*............................................................................*\n",
+ "*Br 7 :SumLepPt : SumLepPt/F *\n",
+ "*Entries : 196491 : Total Size= 788706 bytes File Size = 551469 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 1.43 *\n",
+ "*............................................................................*\n",
+ "*Br 8 :BTags : BTags/F *\n",
+ "*Entries : 196491 : Total Size= 788619 bytes File Size = 36429 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 21.63 *\n",
+ "*............................................................................*\n",
+ "*Br 9 :weight : weight/F *\n",
+ "*Entries : 196491 : Total Size= 788648 bytes File Size = 635048 *\n",
+ "*Baskets : 25 : Basket Size= 32000 bytes Compression= 1.24 *\n",
+ "*............................................................................*\n"
+ ]
+ }
+ ],
+ "source": [
+ "dataset->Print(\"1\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "Int_t type,\n",
+ " Channel, \n",
+ " NJets;\n",
+ " \n",
+ "Float_t MET,\n",
+ " Mll,\n",
+ " LepDeltaPhi,\n",
+ " METLLDeltaPhi,\n",
+ " SumLepPt,\n",
+ " BTags,\n",
+ " weight;"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dataset->SetBranchAddress(\"type\", &type);\n",
+ "dataset->SetBranchAddress(\"Channel\", &Channel);\n",
+ "dataset->SetBranchAddress(\"NJets\", &NJets);\n",
+ "dataset->SetBranchAddress(\"MET\", &MET);\n",
+ "dataset->SetBranchAddress(\"Mll\", &Mll);\n",
+ "dataset->SetBranchAddress(\"LepDeltaPhi\", &LepDeltaPhi);\n",
+ "dataset->SetBranchAddress(\"METLLDeltaPhi\", &METLLDeltaPhi);\n",
+ "dataset->SetBranchAddress(\"SumLepPt\", &SumLepPt);\n",
+ "dataset->SetBranchAddress(\"BTags\", &BTags);\n",
+ "dataset->SetBranchAddress(\"weight\", &weight);"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "TH1F *hist_type = new TH1F(\"type\",\"type; ; Eventos\",10,0,5);\n",
+ "TH1F *hist_Channel = new TH1F(\"Channel\",\"Channel; ; Eventos\",10,0,5);\n",
+ "TH1F *hist_NJets = new TH1F(\"NJets\",\"Numero de Jets ; N(Jets) ; Eventos\",20,0,10);\n",
+ "TH1F *hist_MET = new TH1F(\"MET\",\"Missing Transverse Momentum (MET); MET[GeV] ; Eventos\",50,0,130);\n",
+ "TH1F *hist_Mll = new TH1F(\"Mll\",\"Masa reconstruida del sistema dileptonico; Mll[GeV] ; Eventos\",50,40,120);\n",
+ "TH1F *hist_LepDeltaPhi = new TH1F(\"LepDeltaPhi\",\"Angulo entre los leptones; #Delta #Phi(l,l) [rad] ;Eventos\",20,0,4);\n",
+ "TH1F *hist_METLLDeltaPhi = new TH1F(\"METLLDeltaPhi\",\"Angulo entre sistema dileptonico y MET; #Delta #Phi(ll,MET) [rad] ;Eventos\",40,-4,4);\n",
+ "TH1F *hist_SumLepPt = new TH1F(\"SumLepPt\",\"Momento transverso total de los leptones;PT(ll) [GeV];Eventos\",50,0,150);\n",
+ "TH1F *hist_BTags = new TH1F(\"BTags\",\"BTags encontrados; N(Bjets) ; Eventos\",10,0,5);\n",
+ "TH1F *hist_weight = new TH1F(\"weight\",\"weight\",51,0,50);\n",
+ "\n",
+ "hist_type->SetFillColor(kRed);\n",
+ "hist_Channel->SetFillColor(kBlue);\n",
+ "hist_NJets->SetFillColor(kRed);\n",
+ "hist_MET->SetFillColor(kBlue);\n",
+ "hist_Mll->SetFillColor(kRed);\n",
+ "hist_LepDeltaPhi->SetFillColor(kBlue);\n",
+ "hist_METLLDeltaPhi->SetFillColor(kRed);\n",
+ "hist_SumLepPt->SetFillColor(kBlue);\n",
+ "hist_BTags->SetFillColor(kRed);\n",
+ "hist_weight->SetFillColor(kBlue);"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "TH1F *hist_type_W = new TH1F(\"type_W\",\"type; ; Eventos\",10,0,4);\n",
+ "TH1F *hist_Channel_W = new TH1F(\"Channel_W\",\"Channel; ; Eventos\",10,0,4);\n",
+ "TH1F *hist_NJets_W = new TH1F(\"NJets_W\",\"Numero de Jets ; N(Jets) ; Eventos\",20,0,10);\n",
+ "TH1F *hist_MET_W = new TH1F(\"MET_W\",\"Missing Transverse Momentum (MET); MET[GeV] ; Eventos\",50,0,130);\n",
+ "TH1F *hist_Mll_W = new TH1F(\"Mll_W\",\"Masa reconstruida del sistema dileptonico; Mll[GeV] ; Eventos\",50,40,120);\n",
+ "TH1F *hist_LepDeltaPhi_W = new TH1F(\"LepDeltaPhi_W\",\"Angulo entre los leptones; #Delta #Phi(l,l) [rad] ;Eventos\",20,0,4);\n",
+ "TH1F *hist_METLLDeltaPhi_W = new TH1F(\"METLLDeltaPhi_W\",\"Angulo entre sistema dileptonico y MET; #Delta #Phi(ll,MET) [rad] ;Eventos\",40,-4,4);\n",
+ "TH1F *hist_SumLepPt_W = new TH1F(\"SumLepPt_W\",\"Momento transverso total de los leptones;PT(ll) [GeV];Eventos\",50,0,150);\n",
+ "TH1F *hist_BTags_W = new TH1F(\"BTags_W\",\"BTags encontrados; N(Bjets) ; Eventos\",10,0,5);\n",
+ "\n",
+ "\n",
+ "hist_type_W->SetMarkerStyle(21);\n",
+ "hist_Channel_W->SetMarkerStyle(21);\n",
+ "hist_NJets_W->SetMarkerStyle(21);\n",
+ "hist_MET_W->SetMarkerStyle(21);\n",
+ "hist_Mll_W->SetMarkerStyle(21);\n",
+ "hist_LepDeltaPhi_W->SetMarkerStyle(21);\n",
+ "hist_METLLDeltaPhi_W->SetMarkerStyle(21);\n",
+ "hist_SumLepPt_W->SetMarkerStyle(21);\n",
+ "hist_BTags_W->SetMarkerStyle(21);\n",
+ "\n",
+ "hist_type_W->SetFillColor(kRed);\n",
+ "hist_Channel_W->SetFillColor(kBlue);\n",
+ "hist_NJets_W->SetFillColor(kRed);\n",
+ "hist_MET_W->SetFillColor(kBlue);\n",
+ "hist_Mll_W->SetFillColor(kRed);\n",
+ "hist_LepDeltaPhi_W->SetFillColor(kBlue);\n",
+ "hist_METLLDeltaPhi_W->SetFillColor(kRed);\n",
+ "hist_SumLepPt_W->SetFillColor(kBlue);\n",
+ "hist_BTags_W->SetFillColor(kRed);\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "TH1F *hist_Mll_ZZ = new TH1F(\"Mll_zz\",\"Masa reconstruida del sistema dileptonico; Mll[GeV] ; Eventos\",50,40,120);\n",
+ "TH1F *hist_Channel_ZZ = new TH1F(\"Channel_zz\",\"Channel; ; Eventos\",10,0,4);\n",
+ "TH1F *hist_LepDeltaPhi_H = new TH1F(\"LepDeltaPhi_H\",\"Angulo entre los leptones; #Delta #Phi(l,l) [rad] ;Eventos\",20,0,4);\n",
+ "TH1F *hist_BTags_1 = new TH1F(\"BTags_1\",\"BTags encontrados; N(Bjets) ; Eventos\",10,0,5);\n",
+ "TH1F *hist_BTags_2 = new TH1F(\"BTags_2\",\"BTags encontrados; N(Bjets) ; Eventos\",10,0,5);\n",
+ "\n",
+ "\n",
+ "hist_Mll_ZZ->SetMarkerStyle(21);\n",
+ "hist_Channel_ZZ->SetMarkerStyle(21);\n",
+ "hist_LepDeltaPhi_H->SetMarkerStyle(21);\n",
+ "hist_BTags_1->SetMarkerStyle(21);\n",
+ "hist_BTags_2->SetMarkerStyle(21);\n",
+ "\n",
+ "hist_Mll_ZZ->SetFillColor(kRed);\n",
+ "hist_Channel_ZZ->SetFillColor(kBlue);\n",
+ "hist_LepDeltaPhi_H->SetFillColor(kRed);\n",
+ "hist_BTags_1->SetFillColor(kBlue);\n",
+ "hist_BTags_2->SetFillColor(kRed);"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "196491"
+ ]
+ }
+ ],
+ "source": [
+ "int nentries, nbytes, i;\n",
+ "nentries = (Int_t)dataset->GetEntries();\n",
+ "\n",
+ "std::cout<<nentries;"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for (i=0; i<nentries; i++)\n",
+ "{\n",
+ " nbytes = dataset->GetEntry(i);\n",
+ " if (type<22){ \n",
+ " hist_type->Fill(type);\n",
+ " hist_Channel->Fill(Channel);\n",
+ " hist_NJets->Fill(NJets);\n",
+ " hist_MET->Fill(MET);\n",
+ " hist_Mll->Fill(Mll);\n",
+ " hist_LepDeltaPhi->Fill(LepDeltaPhi);\n",
+ " hist_METLLDeltaPhi->Fill(METLLDeltaPhi);\n",
+ " hist_SumLepPt->Fill(SumLepPt);\n",
+ " hist_BTags->Fill(BTags);\n",
+ " hist_weight->Fill(weight);\n",
+ " \n",
+ " hist_type_W->Fill(type,weight);\n",
+ " hist_Channel_W->Fill(Channel,weight);\n",
+ " hist_NJets_W->Fill(NJets, weight);\n",
+ " hist_MET_W->Fill(MET, weight);\n",
+ " hist_Mll_W->Fill(Mll, weight);\n",
+ " hist_LepDeltaPhi_W->Fill(LepDeltaPhi, weight);\n",
+ " hist_METLLDeltaPhi_W->Fill(METLLDeltaPhi, weight);\n",
+ " hist_SumLepPt_W->Fill(SumLepPt, weight);\n",
+ " hist_BTags_W->Fill(BTags, weight);\n",
+ " }\n",
+ " \n",
+ " if (type==3){\n",
+ " hist_Mll_ZZ->Fill(Mll, weight);\n",
+ " hist_Channel_ZZ->Fill(Channel, weight);\n",
+ " }\n",
+ " if (type==0){\n",
+ " hist_LepDeltaPhi_H->Fill(LepDeltaPhi, weight); \n",
+ " }\n",
+ " if (type==1){\n",
+ " hist_BTags_1->Fill(BTags, weight); \n",
+ " }\n",
+ " if (type==2){\n",
+ " hist_BTags_2->Fill(BTags, weight); \n",
+ " } \n",
+ " \n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_1\"\n",
+ " style=\"width: 596px; height: 872px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
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0.9517\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04}],\"opt\":[\"\",\"\",\"\",\"\"]},\"fOptFit\":0,\"fOptStat\":1111,\"fFitFormat\":\"5.4g\",\"fStatFormat\":\"6.4g\",\"fParent\":{\"$ref\":5}}],\"opt\":[\"brNDC\"]},\"fBufferSize\":0,\"fBuffer\":[],\"fBinStatErrOpt\":0,\"fStatOverflows\":2,\"fArray\":[0,12112,0,31204,0,34551,0,118624,0,0,0,0]},{\"_typename\":\"TPaveText\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":0,\"fX1\":2.20743733309647,\"fY1\":130418.723509222,\"fX2\":2.79256266690353,\"fY2\":139346.131890818,\"fX1NDC\":0.453189973992959,\"fY1NDC\":0.937660555280489,\"fX2NDC\":0.546810026007041,\"fY2NDC\":0.995000004768372,\"fBorderSize\":0,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"blNDC\",\"fName\":\"title\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":22,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":4,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"type\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.048738531768322}],\"opt\":[\"\"]}}],\"opt\":[\"\",\"\",\"blNDC\"]},\"fExecs\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[],\"opt\":[]},\"fName\":\"Type 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\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":10,\"fXmin\":0,\"fXmax\":5,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fYaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"yaxis\",\"fTitle\":\" 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0.7043\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04}],\"opt\":[\"\",\"\",\"\",\"\"]},\"fOptFit\":0,\"fOptStat\":1111,\"fFitFormat\":\"5.4g\",\"fStatFormat\":\"6.4g\",\"fParent\":{\"$ref\":23}}],\"opt\":[\"brNDC\"]},\"fBufferSize\":0,\"fBuffer\":[],\"fBinStatErrOpt\":0,\"fStatOverflows\":2,\"fArray\":[0,61262,0,96450,0,38779,0,0,0,0,0,0]},{\"_typename\":\"TPaveText\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":0,\"fX1\":1.99877584535423,\"fY1\":106336.126329875,\"fX2\":3.00122415464577,\"fY2\":113298.610912373,\"fX1NDC\":0.419804136451689,\"fY1NDC\":0.940000003948808,\"fX2NDC\":0.580195863548311,\"fY2NDC\":0.995000004768372,\"fBorderSize\":0,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"blNDC\",\"fName\":\"title\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":22,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":7,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Channel\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0467500016093254}],\"opt\":[\"\"]}}],\"opt\":[\"\",\"\",\"blNDC\"]},\"fExecs\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[],\"opt\":[]},\"fName\":\"Type and Channel_2\",\"fTitle\":\"Type and Channel_2\",\"fNumPaletteColor\":0,\"fNextPaletteColor\":0}],\"opt\":[\"\",\"\"]},\"fExecs\":null,\"fName\":\"Type and Channel\",\"fTitle\":\"type\",\"fNumPaletteColor\":0,\"fNextPaletteColor\":0,\"fDISPLAY\":\"$DISPLAY\",\"fDoubleBuffer\":0,\"fRetained\":true,\"fXsizeUser\":0,\"fYsizeUser\":0,\"fXsizeReal\":13.33333,\"fYsizeReal\":20,\"fWindowTopX\":0,\"fWindowTopY\":0,\"fWindowWidth\":0,\"fWindowHeight\":0,\"fCw\":596,\"fCh\":872,\"fCatt\":{\"_typename\":\"TAttCanvas\",\"fXBetween\":2,\"fYBetween\":2,\"fTitleFromTop\":1.2,\"fXdate\":0.2,\"fYdate\":0.3,\"fAdate\":1},\"kMoveOpaque\":true,\"kResizeOpaque\":true,\"fHighLightColor\":2,\"fBatch\":true,\"kShowEventStatus\":false,\"kAutoExec\":true,\"kMenuBar\":true});\n",
+ " Core.draw(\"root_plot_1\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas1 = new TCanvas(\"Type and Channel\",\"type\",600,900);\n",
+ " TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas1->Divide(1,2);\n",
+ " canvas1->cd(1); hist_type->Draw(); //canvas1->cd(1)->SetLogy();\n",
+ " canvas1->cd(2); hist_Channel->Draw(); //canvas1->cd(2)->SetLogy();\n",
+ "//hist_type->Draw();\n",
+ "canvas1->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_2\"\n",
+ " style=\"width: 596px; height: 872px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
+ " var obj = 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+ " Core.draw(\"root_plot_2\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas11 = new TCanvas(\"Type and Channel W\",\"type\",600,900);\n",
+ " canvas11->Divide(1,2);\n",
+ " canvas11->cd(1); hist_type_W->Draw(); canvas11->cd(1)->SetLogy();\n",
+ " canvas11->cd(2); hist_Channel_W->Draw(); canvas11->cd(2)->SetLogy();\n",
+ "//hist_type->Draw();\n",
+ "canvas11->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_3\"\n",
+ " style=\"width: 596px; height: 872px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
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+ " Core.draw(\"root_plot_3\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas2 = new TCanvas(\"Njets and MET\",\"type\",600,900);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas2->Divide(1,2);\n",
+ " canvas2->cd(1); hist_NJets->Draw(); canvas2->cd(1)->SetLogy();\n",
+ " canvas2->cd(2); hist_MET->Draw(); //canvas2->cd(2)->SetLogy();\n",
+ "//hist_type->Draw();\n",
+ "canvas2->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_4\"\n",
+ " style=\"width: 596px; height: 972px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
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+ " Core.draw(\"root_plot_4\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas22 = new TCanvas(\"Njets and MET W\",\"type\",600,1000);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas22->Divide(1,2);\n",
+ " canvas22->cd(1); hist_NJets_W->Draw(); canvas22->cd(1)->SetLogy();\n",
+ " canvas22->cd(2); hist_MET_W->Draw(); //canvas2->cd(2)->SetLogy();\n",
+ "//hist_type->Draw();\n",
+ "canvas22->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_5\"\n",
+ " style=\"width: 596px; height: 972px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
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+ " Core.draw(\"root_plot_5\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas3 = new TCanvas(\"Mll and DeltaPhi\",\"type\",600,1000);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas3->Divide(1,2);\n",
+ " canvas3->cd(1); hist_Mll->Draw(); //canvas3->cd(1)->SetLogy(); \n",
+ " canvas3->cd(2); hist_LepDeltaPhi->Draw();\n",
+ "//hist_type->Draw();\n",
+ "canvas3->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_6\"\n",
+ " style=\"width: 596px; height: 972px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
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+ " Core.draw(\"root_plot_6\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
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+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas33 = new TCanvas(\"Mll and DeltaPhi W\",\"type\",600,1000);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas33->Divide(1,2);\n",
+ " canvas33->cd(1); hist_Mll_W->Draw(); //canvas3->cd(1)->SetLogy(); \n",
+ " canvas33->cd(2); hist_LepDeltaPhi_W->Draw();\n",
+ "//hist_type->Draw();\n",
+ "canvas33->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "<div id=\"root_plot_7\"\n",
+ " style=\"width: 596px; height: 972px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
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+ " Core.draw(\"root_plot_7\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas4 = new TCanvas(\"METLLDeltaPhi and SumLepPt\",\"type\",600,1000);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas4->Divide(1,2);\n",
+ " canvas4->cd(1); hist_METLLDeltaPhi->Draw(); canvas4->cd(1)->SetLogy();\n",
+ " canvas4->cd(2); hist_SumLepPt->Draw();\n",
+ "//hist_type->Draw();\n",
+ "canvas4->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_8\"\n",
+ " style=\"width: 596px; height: 972px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
+ " var obj = 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+ " Core.draw(\"root_plot_8\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas44 = new TCanvas(\"METLLDeltaPhi and SumLepPt W\",\"type\",600,1000);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas44->Divide(1,2);\n",
+ " canvas44->cd(1); hist_METLLDeltaPhi_W->Draw(); canvas4->cd(1)->SetLogy();\n",
+ " canvas44->cd(2); hist_SumLepPt_W->Draw();\n",
+ "//hist_type->Draw();\n",
+ "canvas44->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_9\"\n",
+ " style=\"width: 596px; height: 972px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
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+ " Core.draw(\"root_plot_9\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas5 = new TCanvas(\"BTags and weight\",\"type\",600,1000);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas5->Divide(1,2);\n",
+ " canvas5->cd(1); hist_BTags->Draw(); //canvas5->cd(1)->SetLogy();\n",
+ " canvas5->cd(2); hist_BTags_W->Draw(); // hist_weight->Draw(); canvas5->cd(2)->SetLogy();\n",
+ "//hist_type->Draw();\n",
+ "canvas5->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_10\"\n",
+ " style=\"width: 996px; height: 422px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
+ " var obj = 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+ " Core.draw(\"root_plot_10\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas6 = new TCanvas(\"z a ll\",\"z a ll\",10,10,1000,450);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas6->Divide(2,1);\n",
+ " canvas6->cd(1); hist_Mll_ZZ->Draw(); //canvas5->cd(1)->SetLogy();\n",
+ " canvas6->cd(2); hist_Channel_ZZ->Draw(); canvas6->cd(2)->SetLogy();\n",
+ "//hist_type->Draw();\n",
+ "canvas6->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_11\"\n",
+ " style=\"width: 796px; height: 322px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
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+ " Core.draw(\"root_plot_11\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas66 = new TCanvas(\"hist_LepDeltaPhi_H\",\"hist_LepDeltaPhi_H\",10,10,800,350);\n",
+ "hist_LepDeltaPhi_H->Draw();\n",
+ "canvas66->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "<div id=\"root_plot_12\"\n",
+ " style=\"width: 996px; height: 422px\">\n",
+ "</div>\n",
+ "\n",
+ "<script>\n",
+ " requirejs.config({\n",
+ " paths: {\n",
+ " 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
+ " }\n",
+ " });\n",
+ " require(['JSRootCore'],\n",
+ " function(Core) {\n",
+ " var obj = 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+ " Core.draw(\"root_plot_12\", obj, \"\");\n",
+ " }\n",
+ " );\n",
+ "</script>\n"
+ ],
+ "text/plain": [
+ "<IPython.core.display.HTML object>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "TCanvas *canvas7 = new TCanvas(\"1 vs 2\",\"type\",10,10,1000,450);\n",
+ " //TText tz; tz.SetTextFont(42); tz.SetTextAlign(21);\n",
+ " canvas7->Divide(2,1);\n",
+ " canvas7->cd(1); hist_BTags_1->Draw(); //canvas5->cd(1)->SetLogy();\n",
+ " canvas7->cd(2); hist_BTags_2->Draw(); //canvas7->cd(2)->SetLogy();\n",
+ "//hist_type->Draw();\n",
+ "canvas7->Draw();"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
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