diff --git a/13-TeV-examples/uproot_python/HbbAnalysis.ipynb b/13-TeV-examples/uproot_python/HbbAnalysis.ipynb index 0b4746d..3e586f9 100644 --- a/13-TeV-examples/uproot_python/HbbAnalysis.ipynb +++ b/13-TeV-examples/uproot_python/HbbAnalysis.ipynb @@ -257,6 +257,14 @@ "execution_count": 3, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/marianaiv/.local/lib/python3.11/site-packages/pandas/core/arrays/masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed).\n", + " from pandas.core import (\n" + ] + }, { "data": { "text/html": [ @@ -465,7 +473,8 @@ "outputs": [], "source": [ "# CERN open database URL\n", - "path = \"https://atlas-opendata.web.cern.ch/atlas-opendata/13TeV/bb0L/\"" + "#path = \"https://atlas-opendata.web.cern.ch/atlas-opendata/13TeV/bb0L/\"\n", + "path = 'exactly2bjets/'" ] }, { @@ -486,55 +495,71 @@ "source": [ "samples = {\n", " 'Data' : {\n", - " 'list' : ['data15.EOD_0L.root',\n", - " 'data16.EOD_0L.root'],\n", + " 'list' : ['data15_periodD.root',\n", + " 'data15_periodE.root',\n", + " 'data15_periodF.root',\n", + " 'data15_periodG.root',\n", + " 'data15_periodH.root',\n", + " 'data15_periodJ.root',\n", + " 'data16_periodA.root',\n", + " 'data16_periodB.root',\n", + " 'data16_periodC.root',\n", + " 'data16_periodD.root',\n", + " 'data16_periodE.root',\n", + " 'data16_periodF.root',\n", + " 'data16_periodG.root',\n", + " 'data16_periodI.root',\n", + " 'data16_periodK.root',\n", + " 'data16_periodL.root'\n", + " ],\n", " },\n", + " \n", " 'Signal' : {\n", - " 'list' : ['345056.PowhegPythia8EvtGen_NNPDF3_AZNLO_ZH125J_MINLO_vvbb_VpT.EOD_0L.root',\n", - " '345058.PowhegPythia8EvtGen_NNPDF3_AZNLO_ggZH125_vvbb.EOD_0L.root'],\n", + " 'list' : ['345056.PowhegPythia8EvtGen_NNPDF3_AZNLO_ZH125J_MINLO_vvbb_VpT.exactly2bjets.root',\n", + " '345058.PowhegPythia8EvtGen_NNPDF3_AZNLO_ggZH125_vvbb.exactly2bjets.root'],\n", " 'color' : \"blue\"\n", " },\n", " r'Background $t\\bar{t}$' : {\n", - " 'list' : ['410470.PhPy8EG_A14_ttbar_hdamp258p75_nonallhad.EOD_0L.root'],\n", + " 'list' : ['410470.PhPy8EG_A14_ttbar_hdamp258p75_nonallhad.exactly2bjets.root'], \n", " 'color' : \"yellow\"\n", " },\n", " 'Background Single top' : {\n", - " 'list' : ['410644.PowhegPythia8EvtGen_A14_singletop_schan_lept_top.EOD_0L.root',\n", - " '410645.PowhegPythia8EvtGen_A14_singletop_schan_lept_antitop.EOD_0L.root',\n", - " '410658.PhPy8EG_A14_tchan_BW50_lept_top.EOD_0L.root',\n", - " '410659.PhPy8EG_A14_tchan_BW50_lept_antitop.EOD_0L.root'],\n", + " 'list' : ['410644.PowhegPythia8EvtGen_A14_singletop_schan_lept_top.exactly2bjets.root',\n", + " '410645.PowhegPythia8EvtGen_A14_singletop_schan_lept_antitop.exactly2bjets.root',\n", + " '410658.PhPy8EG_A14_tchan_BW50_lept_top.exactly2bjets.root',\n", + " '410659.PhPy8EG_A14_tchan_BW50_lept_antitop.exactly2bjets.root'],\n", " 'color' : \"grey\"\n", " },\n", " r'Background $V+$jets' : {\n", - " 'list' : ['700335.Sh_2211_Znunu_pTV2_BFilter.EOD_0L.root',\n", - " '700336.Sh_2211_Znunu_pTV2_CFilterBVeto.EOD_0L.root',\n", - " '700337.Sh_2211_Znunu_pTV2_CVetoBVeto.EOD_0L.root',\n", - " '700467.Sh_2211_Zee_maxHTpTV2_m10_40_pT5_BFilter.EOD_0L.root',\n", - " '700468.Sh_2211_Zee_maxHTpTV2_m10_40_pT5_CFilterBVeto.EOD_0L.root',\n", - " '700469.Sh_2211_Zee_maxHTpTV2_m10_40_pT5_CVetoBVeto.EOD_0L.root',\n", - " '700470.Sh_2211_Zmumu_maxHTpTV2_m10_40_pT5_BFilter.EOD_0L.root',\n", - " '700471.Sh_2211_Zmumu_maxHTpTV2_m10_40_pT5_CFilterBVeto.EOD_0L.root',\n", - " '700472.Sh_2211_Zmumu_maxHTpTV2_m10_40_pT5_CVetoBVeto.EOD_0L.root',\n", - " '700792.Sh_2214_Ztautau_maxHTpTV2_BFilter.EOD_0L.root',\n", - " '700793.Sh_2214_Ztautau_maxHTpTV2_CFilterBVeto.EOD_0L.root',\n", - " '700794.Sh_2214_Ztautau_maxHTpTV2_CVetoBVeto.EOD_0L.root'],\n", + " 'list' : ['700335.Sh_2211_Znunu_pTV2_BFilter.exactly2bjets.root',\n", + " '700336.Sh_2211_Znunu_pTV2_CFilterBVeto.exactly2bjets.root',\n", + " '700337.Sh_2211_Znunu_pTV2_CVetoBVeto.exactly2bjets.root',\n", + " '700467.Sh_2211_Zee_maxHTpTV2_m10_40_pT5_BFilter.exactly2bjets.root',\n", + " '700468.Sh_2211_Zee_maxHTpTV2_m10_40_pT5_CFilterBVeto.exactly2bjets.root',\n", + " '700469.Sh_2211_Zee_maxHTpTV2_m10_40_pT5_CVetoBVeto.exactly2bjets.root',\n", + " '700470.Sh_2211_Zmumu_maxHTpTV2_m10_40_pT5_BFilter.exactly2bjets.root',\n", + " '700471.Sh_2211_Zmumu_maxHTpTV2_m10_40_pT5_CFilterBVeto.exactly2bjets.root',\n", + " '700472.Sh_2211_Zmumu_maxHTpTV2_m10_40_pT5_CVetoBVeto.exactly2bjets.root',\n", + " '700792.Sh_2214_Ztautau_maxHTpTV2_BFilter.exactly2bjets.root',\n", + " '700793.Sh_2214_Ztautau_maxHTpTV2_CFilterBVeto.exactly2bjets.root',\n", + " '700794.Sh_2214_Ztautau_maxHTpTV2_CVetoBVeto.exactly2bjets.root'],\n", " 'color' : \"red\"\n", " },\n", " 'Background Diboson' : {\n", - " 'list' : ['700488.Sh_2211_WlvWqq.EOD_0L.root',\n", - " '700489.Sh_2211_WlvZqq.EOD_0L.root',\n", - " '700490.Sh_2211_WlvZbb.EOD_0L.root',\n", - " '700491.Sh_2211_WqqZvv.EOD_0L.root',\n", - " '700492.Sh_2211_WqqZll.EOD_0L.root',\n", - " '700493.Sh_2211_ZqqZll.EOD_0L.root',\n", - " '700494.Sh_2211_ZbbZll.EOD_0L.root',\n", - " '700495.Sh_2211_ZqqZvv.EOD_0L.root',\n", - " '700496.Sh_2211_ZbbZvv.EOD_0L.root',\n", - " '700195.Sh_2210_eegammagamma.EOD_0L.root',\n", - " '700196.Sh_2210_mumugammagamma.EOD_0L.root',\n", - " '700199.Sh_2210_enugammagamma.EOD_0L.root',\n", - " '700200.Sh_2210_munugammagamma.EOD_0L.root',\n", - " '700201.Sh_2210_taunugammagamma.EOD_0L.root'],\n", + " 'list' : ['700488.Sh_2211_WlvWqq.exactly2bjets.root',\n", + " '700489.Sh_2211_WlvZqq.exactly2bjets.root',\n", + " '700490.Sh_2211_WlvZbb.exactly2bjets.root',\n", + " '700491.Sh_2211_WqqZvv.exactly2bjets.root',\n", + " '700492.Sh_2211_WqqZll.exactly2bjets.root',\n", + " '700493.Sh_2211_ZqqZll.exactly2bjets.root',\n", + " '700494.Sh_2211_ZbbZll.exactly2bjets.root',\n", + " '700495.Sh_2211_ZqqZvv.exactly2bjets.root',\n", + " '700496.Sh_2211_ZbbZvv.exactly2bjets.root',\n", + " '700195.Sh_2210_eegammagamma.exactly2bjets.root',\n", + " '700196.Sh_2210_mumugammagamma.exactly2bjets.root',\n", + " '700199.Sh_2210_enugammagamma.exactly2bjets.root',\n", + " '700200.Sh_2210_munugammagamma.exactly2bjets.root',\n", + " '700201.Sh_2210_taunugammagamma.exactly2bjets.root'],\n", " 'color' : \"green\"\n", " }\n", "}" @@ -560,8 +585,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'list': ['data15.EOD_0L.root', 'data16.EOD_0L.root']}\n", - "value='data15.EOD_0L.root'\n" + "{'list': ['data15_periodD.root', 'data15_periodE.root', 'data15_periodF.root', 'data15_periodG.root', 'data15_periodH.root', 'data15_periodJ.root', 'data16_periodA.root', 'data16_periodB.root', 'data16_periodC.root', 'data16_periodD.root', 'data16_periodE.root', 'data16_periodF.root', 'data16_periodG.root', 'data16_periodI.root', 'data16_periodK.root', 'data16_periodL.root']}\n", + "value='data15_periodD.root'\n" ] } ], @@ -574,7 +599,7 @@ "print(f\"{value=}\")\n", "\n", "# This is now appended to our file path to retrieve the data_15 file\n", - "data_15_path = path + \"Data/\" + value " + "data_15_path = 'exactly2bjets/' + \"Data/\" + value " ] }, { @@ -601,9 +626,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "1868591\n", - "['ScaleFactor_PILEUP', 'mcWeight', 'xsec', 'filteff', 'kfac', 'trigE', 'trigM', 'trigMET', 'ScaleFactor_BTAG', 'jet_n', 'jet_pt', 'jet_eta', 'jet_phi', 'jet_e', 'jet_btag_quantile', 'jet_jvt', 'largeRJet_n', 'largeRJet_pt', 'largeRJet_eta', 'largeRJet_phi', 'largeRJet_e', 'largeRJet_m', 'largeRJet_D2', 'ScaleFactor_ELE', 'ScaleFactor_MUON', 'lep_n', 'lep_type', 'lep_pt', 'lep_eta', 'lep_phi', 'lep_e', 'lep_charge', 'lep_ptvarcone30', 'lep_topoetcone20', 'lep_z0', 'lep_d0', 'lep_d0sig', 'lep_isTight', 'lep_isTightID', 'lep_isTightIso', 'ScaleFactor_PHOTON', 'photon_n', 'photon_pt', 'photon_eta', 'photon_phi', 'photon_e', 'photon_ptcone20', 'photon_topoetcone40', 'photon_isTight', 'photon_isTightID', 'photon_isTightIso', 'ScaleFactor_TAU', 'tau_n', 'tau_pt', 'tau_eta', 'tau_phi', 'tau_e', 'tau_charge', 'tau_nTracks', 'tau_isTight', 'tau_RNNJetScore', 'tau_RNNEleScore', 'met', 'met_phi', 'met_mpx', 'met_mpy']\n" + "5691\n" ] + }, + { + "data": { + "text/plain": [ + "['num_events',\n", + " 'sum_of_weights',\n", + " 'sum_of_weights_squared',\n", + " 'corrected_xsec',\n", + " 'dsid',\n", + " 'category',\n", + " 'is_bjet',\n", + " 'n_bjet',\n", + " 'ScaleFactor_PILEUP',\n", + " 'mcWeight',\n", + " 'xsec',\n", + " 'filteff',\n", + " 'kfac',\n", + " 'channelNumber',\n", + " 'eventNumber',\n", + " 'runNumber',\n", + " 'trigP',\n", + " 'trigDT',\n", + " 'trigT',\n", + " 'trigE',\n", + " 'trigM',\n", + " 'trigMET',\n", + " 'ScaleFactor_BTAG',\n", + " 'jet_n',\n", + " 'jet_pt',\n", + " 'jet_eta',\n", + " 'jet_phi',\n", + " 'jet_e',\n", + " 'jet_btag_quantile',\n", + " 'jet_jvt',\n", + " 'largeRJet_n',\n", + " 'largeRJet_pt',\n", + " 'largeRJet_eta',\n", + " 'largeRJet_phi',\n", + " 'largeRJet_e',\n", + " 'largeRJet_m',\n", + " 'largeRJet_D2',\n", + " 'ScaleFactor_ELE',\n", + " 'ScaleFactor_MUON',\n", + " 'scaleFactor_LepTRIGGER',\n", + " 'lep_n',\n", + " 'lep_type',\n", + " 'lep_pt',\n", + " 'lep_eta',\n", + " 'lep_phi',\n", + " 'lep_e',\n", + " 'lep_charge',\n", + " 'lep_ptvarcone30',\n", + " 'lep_topoetcone20',\n", + " 'lep_z0',\n", + " 'lep_d0',\n", + " 'lep_d0sig',\n", + " 'lep_isTightID',\n", + " 'lep_isMediumID',\n", + " 'lep_isLooseID',\n", + " 'lep_isTightIso',\n", + " 'lep_isLooseIso',\n", + " 'ScaleFactor_PHOTON',\n", + " 'photon_n',\n", + " 'photon_pt',\n", + " 'photon_eta',\n", + " 'photon_phi',\n", + " 'photon_e',\n", + " 'photon_ptcone20',\n", + " 'photon_topoetcone40',\n", + " 'photon_isLooseID',\n", + " 'photon_isTightID',\n", + " 'photon_isLooseIso',\n", + " 'photon_isTightIso',\n", + " 'ScaleFactor_TAU',\n", + " 'ScaleFactor_TauTRIGGER',\n", + " 'ScaleFactor_DiTauTRIGGER',\n", + " 'tau_n',\n", + " 'tau_pt',\n", + " 'tau_eta',\n", + " 'tau_phi',\n", + " 'tau_e',\n", + " 'tau_charge',\n", + " 'tau_nTracks',\n", + " 'tau_isTight',\n", + " 'tau_RNNJetScore',\n", + " 'tau_RNNEleScore',\n", + " 'met',\n", + " 'met_phi',\n", + " 'met_mpx',\n", + " 'met_mpy']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -615,7 +734,7 @@ "print(tree.num_entries)\n", "\n", "# We can view all the information stored in the tree using the .keys() method.\n", - 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" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -695,7 +814,7 @@ "outputs": [], "source": [ "# Define what variables are important to our analysis\n", - "variables = ['jet_n', 'jet_pt', 'jet_eta', 'jet_phi', 'jet_e', 'met', 'met_phi', 'trigMET', 'jet_btag_quantile', 'lep_e', 'lep_isTight']" + "variables = ['jet_n', 'jet_pt', 'jet_eta', 'jet_phi', 'jet_e', 'met', 'met_phi', 'trigMET', 'jet_btag_quantile', 'lep_e', 'lep_isTightID']" ] }, { @@ -795,7 +914,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -821,7 +940,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -839,7 +958,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -856,7 +975,7 @@ "" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -878,7 +997,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -1136,21 +1255,21 @@ "outputs": [ { "data": { - "application/pdf": 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", 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\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2133,35 +2252,71 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2760,190 +2786,190 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" @@ -3202,7 +3228,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'list': ['700488.Sh_2211_WlvWqq.EOD_0L.root', '700489.Sh_2211_WlvZqq.EOD_0L.root', '700490.Sh_2211_WlvZbb.EOD_0L.root', '700491.Sh_2211_WqqZvv.EOD_0L.root', '700492.Sh_2211_WqqZll.EOD_0L.root', '700493.Sh_2211_ZqqZll.EOD_0L.root', '700494.Sh_2211_ZbbZll.EOD_0L.root', '700495.Sh_2211_ZqqZvv.EOD_0L.root', '700496.Sh_2211_ZbbZvv.EOD_0L.root', '700195.Sh_2210_eegammagamma.EOD_0L.root', '700196.Sh_2210_mumugammagamma.EOD_0L.root', '700199.Sh_2210_enugammagamma.EOD_0L.root', '700200.Sh_2210_munugammagamma.EOD_0L.root', '700201.Sh_2210_taunugammagamma.EOD_0L.root'], 'color': 'green'}\n" + "{'list': ['700488.Sh_2211_WlvWqq.exactly2bjets.root', '700489.Sh_2211_WlvZqq.exactly2bjets.root', '700490.Sh_2211_WlvZbb.exactly2bjets.root', '700491.Sh_2211_WqqZvv.exactly2bjets.root', '700492.Sh_2211_WqqZll.exactly2bjets.root', '700493.Sh_2211_ZqqZll.exactly2bjets.root', '700494.Sh_2211_ZbbZll.exactly2bjets.root', '700495.Sh_2211_ZqqZvv.exactly2bjets.root', '700496.Sh_2211_ZbbZvv.exactly2bjets.root', '700195.Sh_2210_eegammagamma.exactly2bjets.root', '700196.Sh_2210_mumugammagamma.exactly2bjets.root', '700199.Sh_2210_enugammagamma.exactly2bjets.root', '700200.Sh_2210_munugammagamma.exactly2bjets.root', '700201.Sh_2210_taunugammagamma.exactly2bjets.root'], 'color': 'green'}\n" ] } ], @@ -3227,7 +3253,7 @@ { "data": { "text/plain": [ - "698708" + "19817" ] }, "execution_count": 22, @@ -3265,33 +3291,33 @@ { "data": { "text/html": [ - "
[{ScaleFactor_BTAG: 0.979},\n",
-              " {ScaleFactor_BTAG: 1.04},\n",
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-              " {ScaleFactor_BTAG: 1.29},\n",
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-              " {ScaleFactor_BTAG: 0.982},\n",
-              " {ScaleFactor_BTAG: 0.991},\n",
-              " {ScaleFactor_BTAG: 0.994},\n",
+              "
[{ScaleFactor_BTAG: 0.865},\n",
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               " ...,\n",
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-              " {ScaleFactor_BTAG: 1.04},\n",
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-              " {ScaleFactor_BTAG: 0.991}]\n",
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+              " {ScaleFactor_BTAG: 0.854},\n",
+              " {ScaleFactor_BTAG: 1.16}]\n",
               "-----------------------------\n",
-              "type: 698708 * {\n",
+              "type: 19817 * {\n",
               "    ScaleFactor_BTAG: float32\n",
               "}
" ], "text/plain": [ - "" + "" ] }, "execution_count": 23, @@ -3300,7 +3326,7 @@ } ], "source": [ - "weight_variables = ['xsec', 'mcWeight', 'ScaleFactor_PILEUP', 'ScaleFactor_BTAG', 'filteff', 'kfac']\n", + "weight_variables = ['xsec', 'mcWeight', 'ScaleFactor_PILEUP', 'ScaleFactor_BTAG', 'filteff', 'kfac', 'sum_of_weights']\n", "\n", "# For example, see below for the weights corresponding to muon rejection\n", "tree[\"ScaleFactor_BTAG\"].arrays(library = \"ak\")" @@ -3341,19 +3367,52 @@ "cell_type": "code", "execution_count": 24, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "983201922502.4636" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "metadata.loc[metadata.dataset_number == int(value.split('.')[0]), 'sumOfWeights'].values[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "calc_weight(event, sumweights) = 0.0092\n" + "calc_weight(event) = 0.0185\n" ] } ], "source": [ - "lumi = 3.2 # fb-1 for data_15 only\n", - "\n", - "def calc_weight(events, sumw):\n", + "lumi = 36 # fb-1 for data_15 only\n", + "\n", + "# def calc_weight(events, sumw):\n", + "# return (\n", + "# (lumi*1000 #*1000 to go from fb-1 to pb-1\n", + "# * events['xsec'] \n", + "# * events['mcWeight']\n", + "# * events['ScaleFactor_PILEUP']\n", + "# * events['ScaleFactor_BTAG']\n", + "# * events['filteff']\n", + "# * events['kfac']\n", + "# / sumw)\n", + "# #* events.scaleFactor_LepTRIGGER\n", + "# )\n", + "\n", + "def calc_weight(events):\n", " return (\n", " (lumi*1000 #*1000 to go from fb-1 to pb-1\n", " * events['xsec'] \n", @@ -3362,18 +3421,18 @@ " * events['ScaleFactor_BTAG']\n", " * events['filteff']\n", " * events['kfac']\n", - " / sumw)\n", + " / events['sum_of_weights'])\n", " #* events.scaleFactor_LepTRIGGER\n", " )\n", "\n", - "sumweights = metadata.loc[metadata.dataset_number == int(value.split('.')[0]), 'sumOfWeights'].values[0]\n", + "#sumweights = metadata.loc[metadata.dataset_number == int(value.split('.')[0]), 'sumOfWeights'].values[0]\n", "\n", "# Let's use the first event of our tree\n", "# event = tree.arrays()[0] # This line takes very long, iterate is much faster\n", "for data in tree.iterate(weight_variables, library = 'ak'):\n", " event = data[0]\n", " break\n", - "print(f\"{calc_weight(event, sumweights) = :.4f}\")" + "print(f\"{calc_weight(event) = :.4f}\")" ] }, { @@ -3390,7 +3449,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -3421,7 +3480,7 @@ " data['mass'] = calc_mass(data)\n", "\n", " # Total Weights\n", - " data['totalWeight'] = calc_weight(data, sumweights)\n", + " data['totalWeight'] = calc_weight(data)\n", "\n", " # Append data to the whole sample data list\n", " sample_data.append(data)\n", @@ -3432,26 +3491,26 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "application/pdf": 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" \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -4595,17 +4654,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -4661,17 +4720,17 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", 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- " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -5785,37 +5840,37 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", " \n", - " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: url(#h9693f7ed1b); opacity: 0.5\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " 30 * GeV] # MET>30 GeV \n", " data = data[(data['jet_n']==2) | (data['jet_n']==3)] # 2 or 3 jets\n", " data = data[select_pt_eta(data)]\n", @@ -6587,7 +6602,7 @@ " # Store Monte Carlo weights in the data\n", " if 'data' not in val: # Only calculates weights if the data is MC\n", " print(f'weight: {sumweights}')\n", - " data['totalWeight'] = calc_weight(data, sumweights)\n", + " data['totalWeight'] = calc_weight(data)\n", " elapsed = time.time() - start # time taken to process\n", " print(\"\\t\"+str(len(data)) + \" events in \"+str(round(elapsed,1))+\"s\") # events before and after\n", "\n", @@ -6601,7 +6616,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -6613,21 +6628,21 @@ "outputs": [ { "data": { - "application/pdf": 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", 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+ " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -11985,27 +12000,27 @@ " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -12013,305 +12028,380 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -12507,310 +12597,310 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", " \n", @@ -13223,21 +13313,21 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -13641,16 +13731,16 @@ " \n", " \n", " \n", - " \n", + "\" style=\"fill: url(#hce18fff2e9); opacity: 0.5\"/>\n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", "\n", - "\n", + "\n", " \n", " \n", " \n", " \n", - " 2024-08-22T19:17:28.932177\n", + " 2024-10-09T14:10:52.241486\n", " image/svg+xml\n", " \n", " \n", - " Matplotlib v3.9.1.post1, https://matplotlib.org/\n", + " Matplotlib v3.7.1, https://matplotlib.org/\n", " \n", " \n", " \n", @@ -13915,836 +14005,836 @@ " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#pad8c8a1b50)\" style=\"fill: #1f77b4\"/>\n", " \n", " \n", - " \n", + 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\n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -14994,92 +15084,201 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", " \n", - " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" @@ -15352,7 +15551,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -15367,7 +15566,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -15383,7 +15582,7 @@ "" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -15395,7 +15594,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -15412,7 +15611,7 @@ "" ] }, - "execution_count": 32, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -15450,7 +15649,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.11.4" } }, "nbformat": 4,