diff --git a/data/make_filelists.py b/data/make_filelists.py index b6b5730a..f20cdaec 100644 --- a/data/make_filelists.py +++ b/data/make_filelists.py @@ -509,6 +509,9 @@ def get_v12(): "HH": { # private 10M? "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_Private": "/ggHHTo4B_cHHH_1/lpcdihiggsboost-crab_PrivateProduction_Summer22_DR_step4_NANOAODSIM_ggHHTo4B_cHHH_1_batch1_v1-00000000000000000000000000000000/USER", + # in production + # "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22NanoAODv13-ggHH_powheg_bugfix_133X_mcRun3_2022_realistic_ForNanov13_v1-v1/NANOAODSIM" + # "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22NanoAODv13-ggHH_powheg_bugfix_133X_mcRun3_2022_realistic_ForNanov13_v1-v2/NANOAODSIM", # 1M events "VBFHHto4B_CV_1_C2V_0_C3_1_TuneCP5_13p6TeV_madgraph-pythia8": "/VBFHHto4B_CV_1_C2V_0_C3_1_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22NanoAODv12-130X_mcRun3_2022_realistic_v5-v2/NANOAODSIM", "VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8": "/VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22NanoAODv12-130X_mcRun3_2022_realistic_v5-v2/NANOAODSIM", @@ -656,10 +659,15 @@ def get_v12(): # 3M events "VBFHHto4B_CV_1_C2V_0_C3_1_TuneCP5_13p6TeV_madgraph-pythia8": "/VBFHHto4B_CV_1_C2V_0_C3_1_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EENanoAODv12-130X_mcRun3_2022_realistic_postEE_v6-v1/NANOAODSIM", "VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8": "/VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8/Run3Summer22EENanoAODv12-130X_mcRun3_2022_realistic_postEE_v6-v3/NANOAODSIM", + # 7.7M events + "GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv13-133X_mcRun3_2022_realistic_postEE_ForNanov13_v1-v2/NANOAODSIM", + # /GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv13-133X_mcRun3_2022_realistic_postEE_ForNanov13_v1-v1/NANOAODSIM (v1?) # 7.3M events "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv12-130X_mcRun3_2022_realistic_postEE_v6-v1/NANOAODSIM", # 1.4M events (production): - "GluGlutoHHto4B_kl-2p45_kt-1p00_c2-0p00_LHEweights_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-2p45_kt-1p00_c2-0p00_LHEweights_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv12-130X_mcRun3_2022_realistic_postEE_v6-v2/NANOAODSIM", + "GluGlutoHHto4B_kl-2p45_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-2p45_kt-1p00_c2-0p00_LHEweights_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv12-130X_mcRun3_2022_realistic_postEE_v6-v2/NANOAODSIM", + # 7.7M events + "GluGlutoHHto4B_kl-5p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-5p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv13-133X_mcRun3_2022_realistic_postEE_ForNanov13_v1-v2/NANOAODSIM", # TSG samples "GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_TSG_Pu60": "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv12-Poisson60KeepRAW_130X_mcRun3_2022_realistic_postEE_v6-v2/NANOAODSIM", "GluGlutoHHto4B_kl-0p00_kt-1p00_c2-1p00_TuneCP5_13p6TeV_TSG_Pu60": "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-1p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EENanoAODv12-Poisson60KeepRAW_130X_mcRun3_2022_realistic_postEE_v6-v2/NANOAODSIM", @@ -844,6 +852,10 @@ def get_v12(): "QCD_HT-800to1000": "/QCD-4Jets_HT-800to1000_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer23NanoAODv12-130X_mcRun3_2023_realistic_v14-v2/NANOAODSIM", }, "HH": { + # (in production) + # /GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23NanoAODv13-133X_mcRun3_2023_realistic_ForNanov13_v1-v1/NANOAODSIM + # "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23NanoAODv13-ggHH_powheg_bugfix_133X_mcRun3_2023_realistic_ForNanov13_v1-v1/NANOAODSIM" + # "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23NanoAODv13-ggHH_powheg_bugfix_133X_mcRun3_2023_realistic_ForNanov13_v1-v2/NANOAODSIM" # 1M (TSG?) "GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_TSG": "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23NanoAODv12-130X_mcRun3_2023_realistic_v15-v4/NANOAODSIM", "GluGlutoHHto4B_kl-0p00_kt-1p00_c2-1p00_TuneCP5_13p6TeV_TSG": "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-1p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23NanoAODv12-130X_mcRun3_2023_realistic_v15-v4/NANOAODSIM", @@ -927,10 +939,13 @@ def get_v12(): ], }, "HH": { + # in production (official?) + # /GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixNanoAODv13-133X_mcRun3_2023_realistic_postBPix_ForNanov13_v2-v2/NANOAODSIM + # /GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixMiniAODv4-ggHH_powheg_bugfix_130X_mcRun3_2023_realistic_postBPix_v6-v2/MINIAODSIM # 500k in production (TSG) - "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixNanoAODv12-tsg_130X_mcRun3_2023_realistic_postBPix_v6-v2/NANOAODSIM", - "GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixNanoAODv12-130X_mcRun3_2023_realistic_postBPix_v6-v2/NANOAODSIM", - "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p10_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p10_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixNanoAODv12-130X_mcRun3_2023_realistic_postBPix_v6-v2/NANOAODSIM", + # "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixNanoAODv12-tsg_130X_mcRun3_2023_realistic_postBPix_v6-v2/NANOAODSIM", + # "GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-0p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixNanoAODv12-130X_mcRun3_2023_realistic_postBPix_v6-v2/NANOAODSIM", + # "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p10_TuneCP5_13p6TeV": "/GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p10_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer23BPixNanoAODv12-130X_mcRun3_2023_realistic_postBPix_v6-v2/NANOAODSIM", }, "QCD": { "QCD_HT-1000to1200": "/QCD-4Jets_HT-1000to1200_TuneCP5_13p6TeV_madgraphMLM-pythia8/Run3Summer23BPixNanoAODv12-130X_mcRun3_2023_realistic_postBPix_v2-v4/NANOAODSIM", diff --git a/data/nanoindex_v12.json b/data/nanoindex_v12.json index da285393..9d374fc1 100644 --- a/data/nanoindex_v12.json +++ b/data/nanoindex_v12.json @@ -681,8 +681,8 @@ "root://cmseos.fnal.gov//store/group/lpcdihiggsboost/NANOAOD/Run3Summer22/ggHHTo4B_cHHH_1/batch1/v1/ggHHTo4B_cHHH_1/crab_PrivateProduction_Summer22_DR_step4_NANOAODSIM_ggHHTo4B_cHHH_1_batch1_v1/240203_212057/0000/HIG-Run3Summer22EENanoAODv12-00078_360.root", 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"root://cmseos.fnal.gov//store/group/lpcdihiggsboost/NANOAOD/Run3Summer22/ggHHTo4B_cHHH_1/batch1/v1/ggHHTo4B_cHHH_1/crab_PrivateProduction_Summer22_DR_step4_NANOAODSIM_ggHHTo4B_cHHH_1_batch1_v1/240203_212057/0000/HIG-Run3Summer22EENanoAODv12-00078_168.root", "root://cmseos.fnal.gov//store/group/lpcdihiggsboost/NANOAOD/Run3Summer22/ggHHTo4B_cHHH_1/batch1/v1/ggHHTo4B_cHHH_1/crab_PrivateProduction_Summer22_DR_step4_NANOAODSIM_ggHHTo4B_cHHH_1_batch1_v1/240203_212057/0000/HIG-Run3Summer22EENanoAODv12-00078_218.root", @@ -715,8 +715,8 @@ "root://cmseos.fnal.gov//store/group/lpcdihiggsboost/NANOAOD/Run3Summer22/ggHHTo4B_cHHH_1/batch1/v1/ggHHTo4B_cHHH_1/crab_PrivateProduction_Summer22_DR_step4_NANOAODSIM_ggHHTo4B_cHHH_1_batch1_v1/240203_212057/0000/HIG-Run3Summer22EENanoAODv12-00078_276.root", 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"metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import vector\n", + "import os\n", + "from xgboost import XGBClassifier\n", + "\n", + "import HH4b.utils as utils\n", + "from HH4b.utils import ShapeVar\n", + "import HH4b.plotting as plotting\n", + "import HH4b.postprocessing as postprocessing\n", + "from HH4b.postprocessing import Region\n", + "\n", + "import hist\n", + "import matplotlib.pyplot as plt\n", + "import mplhep as hep\n", + "import matplotlib.ticker as mticker\n", + "\n", + "formatter = mticker.ScalarFormatter(useMathText=True)\n", + "formatter.set_powerlimits((-3, 3))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# automatically reloads imported files on edits\n", + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "samples = {\n", + " \"2022EE\": {\n", + " \"ttbar\": [\n", + " \"TTto4Q\",\n", + " \"TTtoLNu2Q\",\n", + " \"TTto2L2Nu\",\n", + " ],\n", + " \"data\": [\n", + " \"JetMET_Run2022E\",\n", + " \"JetMET_Run2022F\",\n", + " \"JetMET_Run2022G\",\n", + " ],\n", + " \"qcd\": [\n", + " \"QCD_HT-200to400\",\n", + " \"QCD_HT-400to600\",\n", + " \"QCD_HT-600to800\",\n", + " \"QCD_HT-800to1000\",\n", + " \"QCD_HT-1000to1200\",\n", + " \"QCD_HT-1200to1500\",\n", + " \"QCD_HT-1500to2000\",\n", + " \"QCD_HT-2000\",\n", + " ],\n", + " \"diboson\": [\n", + " \"WW\",\n", + " \"ZZ\",\n", + " \"WZ\",\n", + " ],\n", + " \"vjets\": [\n", + " \"Wto2Q-3Jets_HT-200to400\",\n", + " \"Wto2Q-3Jets_HT-400to600\",\n", + " \"Wto2Q-3Jets_HT-600to800\",\n", + " \"Wto2Q-3Jets_HT-800\",\n", + " \"Zto2Q-4Jets_HT-200to400\",\n", + " \"Zto2Q-4Jets_HT-400to600\",\n", + " \"Zto2Q-4Jets_HT-600to800\",\n", + " \"Zto2Q-4Jets_HT-800\",\n", + " ],\n", + " \"vjetslnu\": [\n", + " \"WtoLNu-2Jets\",\n", + " ],\n", + " },\n", + "}\n", + "\n", + "MAIN_DIR = \"../../../\"\n", + "dir_name = \"Mar26_v12_had-tt\"\n", + "path_to_dir = f\"{MAIN_DIR}/../data/skimmer/{dir_name}/\"\n", + "dirs = {path_to_dir: samples}\n", + "\n", + "load_columns = [\n", + " (\"weight\", 1),\n", + " (\"MET_pt\", 1),\n", + " (\"nFatJets\", 1),\n", + " (\"bbFatJetPt\", 2),\n", + " (\"bbFatJetEta\", 2),\n", + " (\"bbFatJetPhi\", 2),\n", + " (\"bbFatJetMsd\", 2),\n", + " (\"bbFatJetPNetMass\", 2),\n", + " (\"bbFatJetPNetXbb\", 2),\n", + " (\"bbFatJetTau3OverTau2\", 2),\n", + " (\"bbFatJetPNetQCD0HF\", 2),\n", + " (\"bbFatJetPNetQCD1HF\", 2),\n", + " (\"bbFatJetPNetQCD2HF\", 2),\n", + "]\n", + "\n", + "\n", + "events_dict = {}\n", + "years = [\"2022EE\"]\n", + "for year in years:\n", + " events_dict[year] = {}\n", + " for input_dir, samples in dirs.items():\n", + " events_dict[year] = {\n", + " **events_dict[year],\n", + " **utils.load_samples(\n", + " input_dir,\n", + " samples[year],\n", + " year,\n", + " filters=None,\n", + " columns_mc=utils.format_columns(load_columns),\n", + " ),\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "list(events_dict[\"2022EE\"][\"ttbar\"].columns)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import importlib\n", + "import sys\n", + "\n", + "sys.path.append(\"../boosted/bdt_trainings_run3/\")\n", + "bdt_model = XGBClassifier()\n", + "model_name = \"v0_msd30\"\n", + "bdt_model.load_model(fname=f\"../boosted/bdt_trainings_run3/{model_name}/trained_bdt.model\")\n", + "# get function\n", + "make_bdt_dataframe = importlib.import_module(f\"{model_name}\")\n", + "\n", + "events_dict_bdt = {}\n", + "for year in years:\n", + " events_dict_bdt[year] = {}\n", + " for key in events_dict[year].keys():\n", + " events = events_dict[year][key]\n", + "\n", + " # implement cuts from BDT training\n", + " # h1msd = events[\"bbFatJetMsd\"].to_numpy()[:, 0]\n", + " # h2msd = events[\"bbFatJetMsd\"].to_numpy()[:, 1]\n", + " # events = events[(h1msd > 30) & (h2msd > 30) & (h1msd < 250) & (h2msd < 250) & (h1pt>300) & (h2pt>300)]\n", + "\n", + " # perform inference\n", + " df_events = make_bdt_dataframe.bdt_dataframe(events)\n", + " bdt_score = bdt_model.predict_proba(df_events)[:, 1]\n", + " events_dict_bdt[year][key] = df_events\n", + "\n", + " # add variables\n", + " events_dict_bdt[year][key][\"bdt_score\"] = bdt_score\n", + " events_dict_bdt[year][key][\"weight\"] = events[\"weight\"].to_numpy()[:, 0]\n", + " events_dict_bdt[year][key][\"H1Pt\"] = events[\"bbFatJetPt\"].to_numpy()[:, 0]\n", + " events_dict_bdt[year][key][\"H2Pt\"] = events[\"bbFatJetPt\"].to_numpy()[:, 1]\n", + " events_dict_bdt[year][key][\"H1Msd\"] = events[\"bbFatJetMsd\"].to_numpy()[:, 0]\n", + " events_dict_bdt[year][key][\"H2Msd\"] = events[\"bbFatJetMsd\"].to_numpy()[:, 1]\n", + " events_dict_bdt[year][key][\"H2Xbb\"] = events[\"bbFatJetPNetXbb\"].to_numpy()[:, 1]\n", + " events_dict_bdt[year][key][\"H2PNetMass\"] = events[\"bbFatJetPNetMass\"].to_numpy()[:, 1]\n", + "\n", + " h1 = vector.array(\n", + " {\n", + " \"pt\": events[\"bbFatJetPt\"].to_numpy()[:, 0],\n", + " \"phi\": events[\"bbFatJetPhi\"].to_numpy()[:, 0],\n", + " \"eta\": events[\"bbFatJetEta\"].to_numpy()[:, 0],\n", + " \"M\": events[\"bbFatJetPNetMass\"].to_numpy()[:, 0],\n", + " }\n", + " )\n", + " h2 = vector.array(\n", + " {\n", + " \"pt\": events[\"bbFatJetPt\"].to_numpy()[:, 1],\n", + " \"phi\": events[\"bbFatJetPhi\"].to_numpy()[:, 1],\n", + " \"eta\": events[\"bbFatJetEta\"].to_numpy()[:, 1],\n", + " \"M\": events[\"bbFatJetPNetMass\"].to_numpy()[:, 1],\n", + " }\n", + " )\n", + " hh = h1 + h2\n", + " events_dict_bdt[year][key][\"HHPt\"] = hh.pt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "events_dict_bdt[\"2022EE\"].keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "control_plot_vars = [\n", + " ShapeVar(\n", + " var=\"HHPt\",\n", + " label=r\"$p_{T}^{1,2}$ (GeV)\",\n", + " bins=[0, 50, 100, 150, 200, 300, 400, 500, 600, 700, 800, 900, 1000],\n", + " reg=False,\n", + " ),\n", + " ShapeVar(var=\"H2Msd\", label=r\"$m_{SD}^{2}$ (GeV)\", bins=[30, 30, 300]),\n", + " ShapeVar(var=\"H1Msd\", label=r\"$m_{SD}^{1}$ (GeV)\", bins=[30, 30, 300]),\n", + " ShapeVar(var=\"H1Mass\", label=r\"$m_{reg}^{1}$ (GeV)\", bins=[30, 0, 300]),\n", + " ShapeVar(var=\"H2PNetMass\", label=r\"$m_{reg}^{2}$ (GeV)\", bins=[30, 0, 300]),\n", + " ShapeVar(var=\"bdt_score\", label=r\"BDT score\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H1Xbb\", label=r\"Xbb$^{1}$\", bins=[30, 0.8, 1]),\n", + " ShapeVar(var=\"H2Xbb\", label=r\"Xbb$^{2}$\", bins=[30, 0.8, 1]),\n", + " ShapeVar(var=\"H1T32\", label=r\"$\\tau_{32}^{1}$\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H2T32\", label=r\"$\\tau_{32}^{2}$\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H2Pt\", label=r\"$p_{T}^{2}$ (GeV)\", bins=[30, 0, 600]),\n", + " ShapeVar(var=\"H1Pt\", label=r\"$p_{T}^{1}$ (GeV)\", bins=[30, 0, 600]),\n", + "]\n", + "\n", + "ylims = {\n", + " \"2022\": 5e4,\n", + " \"2022EE\": 4e3,\n", + " \"2023-pre-BPix\": 4e5,\n", + "}\n", + "\n", + "events_plot = {}\n", + "for year in [\"2022EE\"]:\n", + " events_plot[year] = {}\n", + " for key in events_dict_bdt[year].keys():\n", + " events = events_dict_bdt[year][key]\n", + " events = events[\n", + " (events[\"H1Xbb\"] > 0.9)\n", + " & (events[\"H1Msd\"] > 150)\n", + " & (events[\"H1Msd\"] < 200)\n", + " & (events[\"H1Pt\"] > 300)\n", + " & (events[\"H2Pt\"] > 300)\n", + " ]\n", + " events_plot[year][key] = events\n", + "\n", + "print(events_plot[\"2022EE\"][\"ttbar\"].columns)\n", + "\n", + "tag = \"tt-had-xbb09\"\n", + "os.system(f\"mkdir -p {tag}\")\n", + "\n", + "for year in [\"2022EE\"]:\n", + " hists = {}\n", + " for shape_var in control_plot_vars:\n", + " if shape_var.var not in hists:\n", + " hists[shape_var.var] = utils.singleVarHist(\n", + " events_plot[year],\n", + " shape_var,\n", + " weight_key=\"weight\",\n", + " )\n", + "\n", + " bkgs = [\"ttbar\", \"qcd\", \"vjets\", \"diboson\"]\n", + " sigs = []\n", + "\n", + " plotting.ratioHistPlot(\n", + " hists[shape_var.var],\n", + " year,\n", + " sigs,\n", + " bkgs,\n", + " name=f\"{tag}/{shape_var.var}\",\n", + " sortyield=True,\n", + " show=False,\n", + " log=True,\n", + " plot_significance=False,\n", + " significance_dir=shape_var.significance_dir,\n", + " ratio_ylims=[0.2, 1.8],\n", + " ylim=ylims[year],\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "control_plot_vars = [\n", + " ShapeVar(var=\"H2Msd\", label=r\"$m_{SD}^{2}$ (GeV)\", bins=[30, 30, 300]),\n", + " ShapeVar(var=\"H1Msd\", label=r\"$m_{SD}^{1}$ (GeV)\", bins=[30, 30, 300]),\n", + " ShapeVar(var=\"H1Mass\", label=r\"$m_{reg}^{1}$ (GeV)\", bins=[30, 0, 300]),\n", + " ShapeVar(var=\"H2PNetMass\", label=r\"$m_{reg}^{2}$ (GeV)\", bins=[30, 0, 300]),\n", + " ShapeVar(var=\"bdt_score\", label=r\"BDT score\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H1Xbb\", label=r\"Xbb$^{1}$\", bins=[30, 0.1, 1]),\n", + " ShapeVar(var=\"H2Xbb\", label=r\"Xbb$^{2}$\", bins=[30, 0.1, 1]),\n", + " ShapeVar(var=\"H1T32\", label=r\"$\\tau_{32}^{1}$\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H2T32\", label=r\"$\\tau_{32}^{2}$\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H2Pt\", label=r\"$p_{T}^{2}$ (GeV)\", bins=[30, 0, 600]),\n", + " ShapeVar(var=\"H1Pt\", label=r\"$p_{T}^{1}$ (GeV)\", bins=[30, 0, 600]),\n", + " ShapeVar(\n", + " var=\"HHPt\",\n", + " label=r\"$p_{T}^{1,2}$ (GeV)\",\n", + " bins=[0, 50, 100, 150, 200, 300, 400, 500, 600, 700, 800, 900, 1000],\n", + " reg=False,\n", + " ),\n", + "]\n", + "\n", + "ylims = {\n", + " \"2022\": 5e4,\n", + " # \"2022EE\": 4e3,\n", + " \"2022EE\": 4e5,\n", + " \"2023-pre-BPix\": 4e5,\n", + "}\n", + "\n", + "events_plot = {}\n", + "for year in [\"2022EE\"]:\n", + " events_plot[year] = {}\n", + " for key in events_dict_bdt[year].keys():\n", + " events = events_dict_bdt[year][key]\n", + " events = events[\n", + " (events[\"H1Xbb\"] > 0.1)\n", + " & (events[\"H2Xbb\"] > 0.1)\n", + " & (events[\"H1Msd\"] > 50)\n", + " & (events[\"H1Pt\"] > 300)\n", + " & (events[\"H2Pt\"] > 300)\n", + " ]\n", + " # events = events[(events[\"H1Xbb\"] > 0.1) & (events[\"H2Xbb\"] > 0.1) & (events[\"H1Msd\"] > 50) & (events[\"H1Pt\"] > 300) & (events[\"H2Pt\"] > 300) & (events[\"H1T32\"] < 0.46) & (events[\"H2T32\"] < 0.46)]\n", + " events_plot[year][key] = events\n", + "\n", + "print(events_plot[\"2022EE\"][\"ttbar\"].columns)\n", + "\n", + "tag = \"tt-had\"\n", + "# tag = \"tt-had-t32\"\n", + "os.system(f\"mkdir -p {tag}\")\n", + "\n", + "for year in [\"2022EE\"]:\n", + " hists = {}\n", + " for shape_var in control_plot_vars:\n", + " if shape_var.var not in hists:\n", + " hists[shape_var.var] = utils.singleVarHist(\n", + " events_plot[year],\n", + " shape_var,\n", + " weight_key=\"weight\",\n", + " )\n", + "\n", + " bkgs = [\"ttbar\", \"qcd\", \"vjets\", \"diboson\", \"vjetslnu\"]\n", + " sigs = []\n", + "\n", + " plotting.ratioHistPlot(\n", + " hists[shape_var.var],\n", + " year,\n", + " sigs,\n", + " bkgs,\n", + " name=f\"{tag}/{shape_var.var}\",\n", + " sortyield=True,\n", + " show=False,\n", + " log=True,\n", + " plot_significance=False,\n", + " significance_dir=shape_var.significance_dir,\n", + " ratio_ylims=[0.2, 1.8],\n", + " ylim=ylims[year],\n", + " )\n", + "\n", + "control_plot_vars = [\n", + " ShapeVar(var=\"bdt_score\", label=r\"BDT score\", bins=[0, 0.005, 0.01, 0.5, 0.9, 1], reg=False),\n", + "]\n", + "\n", + "for year in [\"2022EE\"]:\n", + " hists = {}\n", + " for shape_var in control_plot_vars:\n", + " if shape_var.var not in hists:\n", + " hists[shape_var.var] = utils.singleVarHist(\n", + " events_plot[year],\n", + " shape_var,\n", + " weight_key=\"weight\",\n", + " )\n", + "\n", + " bkgs = [\"ttbar\", \"qcd\", \"vjets\", \"diboson\", \"vjetslnu\"]\n", + " sigs = []\n", + "\n", + " plotting.ratioHistPlot(\n", + " hists[shape_var.var],\n", + " year,\n", + " sigs,\n", + " bkgs,\n", + " name=f\"{tag}/{shape_var.var}_logx\",\n", + " sortyield=True,\n", + " show=False,\n", + " log=True,\n", + " logx=True,\n", + " plot_significance=False,\n", + " significance_dir=shape_var.significance_dir,\n", + " ratio_ylims=[0.2, 1.8],\n", + " ylim=ylims[year],\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "samples = {\n", + " \"2022EE\": {\n", + " \"ttbar\": [\n", + " \"TTto4Q\",\n", + " \"TTtoLNu2Q\",\n", + " \"TTto2L2Nu\",\n", + " ],\n", + " \"data\": [\n", + " \"EGamma_Run2022E\",\n", + " \"EGamma_Run2022F\",\n", + " \"EGamma_Run2022G\",\n", + " \"Muon_Run2022E\",\n", + " \"Muon_Run2022F\",\n", + " \"Muon_Run2022G\",\n", + " ],\n", + " \"qcd\": [\n", + " \"QCD_HT-200to400\",\n", + " \"QCD_HT-400to600\",\n", + " \"QCD_HT-600to800\",\n", + " \"QCD_HT-800to1000\",\n", + " \"QCD_HT-1000to1200\",\n", + " \"QCD_HT-1200to1500\",\n", + " \"QCD_HT-1500to2000\",\n", + " \"QCD_HT-2000\",\n", + " ],\n", + " \"diboson\": [\n", + " \"WW\",\n", + " \"ZZ\",\n", + " \"WZ\",\n", + " ],\n", + " \"vjets\": [\n", + " \"Wto2Q-3Jets_HT-200to400\",\n", + " \"Wto2Q-3Jets_HT-400to600\",\n", + " \"Wto2Q-3Jets_HT-600to800\",\n", + " \"Wto2Q-3Jets_HT-800\",\n", + " \"Zto2Q-4Jets_HT-200to400\",\n", + " \"Zto2Q-4Jets_HT-400to600\",\n", + " \"Zto2Q-4Jets_HT-600to800\",\n", + " \"Zto2Q-4Jets_HT-800\",\n", + " ],\n", + " \"vjetslnu\": [\n", + " \"WtoLNu-4Jets\",\n", + " ],\n", + " },\n", + "}\n", + "\n", + "MAIN_DIR = \"../../../\"\n", + "dir_name = \"24Mar01_v12_semilep-tt\"\n", + "path_to_dir = f\"{MAIN_DIR}/../data/skimmer/{dir_name}/\"\n", + "dirs = {path_to_dir: samples}\n", + "\n", + "load_columns = [\n", + " (\"weight\", 1),\n", + " (\"MET_pt\", 1),\n", + " (\"nFatJets\", 1),\n", + " (\"bbFatJetPt\", 2),\n", + " (\"bbFatJetEta\", 2),\n", + " (\"bbFatJetPhi\", 2),\n", + " (\"bbFatJetMsd\", 2),\n", + " (\"bbFatJetPNetMass\", 2),\n", + " (\"bbFatJetPNetXbb\", 2),\n", + " (\"bbFatJetTau3OverTau2\", 2),\n", + " (\"ak8FatJetPt\", 2),\n", + " (\"ak8FatJetEta\", 2),\n", + " (\"ak8FatJetPhi\", 2),\n", + " (\"ak8FatJetMsd\", 2),\n", + " (\"ak8FatJetPNetMass\", 2),\n", + " (\"ak8FatJetPNetXbb\", 2),\n", + " (\"ak8FatJetTau3OverTau2\", 2),\n", + " # (\"bbFatJetPNetQCD0HF\", 2),\n", + " # (\"bbFatJetPNetQCD1HF\", 2),\n", + " # (\"bbFatJetPNetQCD2HF\", 2),\n", + "]\n", + "\n", + "pt_cut = 300\n", + "pt_veto = 200\n", + "msd_cut = 50\n", + "filters = [\n", + " [\n", + " (\"('ak8FatJetPt', '0')\", \">=\", pt_cut),\n", + " (\"('ak8FatJetPt', '1')\", \"<\", pt_veto),\n", + " (\"('ak8FatJetMsd', '0')\", \">=\", msd_cut),\n", + " (\"('ak8FatJetMsd', '1')\", \"<\", msd_cut),\n", + " ],\n", + "]\n", + "\n", + "\n", + "events_dict = {}\n", + "years = [\"2022EE\"]\n", + "for year in years:\n", + " events_dict[year] = {}\n", + " for input_dir, samples in dirs.items():\n", + " events_dict[year] = {\n", + " **events_dict[year],\n", + " **utils.load_samples(\n", + " input_dir,\n", + " samples[year],\n", + " year,\n", + " filters=filters,\n", + " columns_mc=utils.format_columns(load_columns),\n", + " ),\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "events_dict_tt = {}\n", + "for year in years:\n", + " events_dict_tt[year] = {}\n", + " for key in events_dict[year].keys():\n", + " events = events_dict[year][key]\n", + " events_dict_tt[year][key] = pd.DataFrame()\n", + " events_dict_tt[year][key][\"weight\"] = events[\"weight\"].to_numpy()[:, 0]\n", + "\n", + " jet_str = \"bb\"\n", + " # jet_str = \"ak8\"\n", + " events_dict_tt[year][key][\"H1Msd\"] = events[f\"{jet_str}FatJetMsd\"].to_numpy()[:, 0]\n", + " events_dict_tt[year][key][\"H2Msd\"] = events[f\"{jet_str}FatJetMsd\"].to_numpy()[:, 1]\n", + " events_dict_tt[year][key][\"H1Pt\"] = events[f\"{jet_str}FatJetPt\"].to_numpy()[:, 0]\n", + " events_dict_tt[year][key][\"H2Pt\"] = events[f\"{jet_str}FatJetPt\"].to_numpy()[:, 1]\n", + " events_dict_tt[year][key][\"H1T32\"] = events[f\"{jet_str}FatJetTau3OverTau2\"].to_numpy()[:, 0]\n", + " events_dict_tt[year][key][\"H2T32\"] = events[f\"{jet_str}FatJetTau3OverTau2\"].to_numpy()[:, 1]\n", + " events_dict_tt[year][key][\"H1Xbb\"] = events[f\"{jet_str}FatJetPNetXbb\"].to_numpy()[:, 0]\n", + " events_dict_tt[year][key][\"H2Xbb\"] = events[f\"{jet_str}FatJetPNetXbb\"].to_numpy()[:, 1]\n", + "\n", + " h1 = vector.array(\n", + " {\n", + " \"pt\": events[f\"{jet_str}FatJetPt\"].to_numpy()[:, 0],\n", + " \"phi\": events[f\"{jet_str}FatJetPhi\"].to_numpy()[:, 0],\n", + " \"eta\": events[f\"{jet_str}FatJetEta\"].to_numpy()[:, 0],\n", + " \"M\": events[f\"{jet_str}FatJetPNetMass\"].to_numpy()[:, 0],\n", + " }\n", + " )\n", + " h2 = vector.array(\n", + " {\n", + " \"pt\": events[f\"{jet_str}FatJetPt\"].to_numpy()[:, 1],\n", + " \"phi\": events[f\"{jet_str}FatJetPhi\"].to_numpy()[:, 1],\n", + " \"eta\": events[f\"{jet_str}FatJetEta\"].to_numpy()[:, 1],\n", + " \"M\": events[f\"{jet_str}FatJetPNetMass\"].to_numpy()[:, 1],\n", + " }\n", + " )\n", + " hh = h1 + h2\n", + " events_dict_tt[year][key][\"HHPt\"] = hh.pt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "events_dict_tt[\"2022EE\"][\"vjetslnu\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "control_plot_vars = [\n", + " ShapeVar(var=\"H2Msd\", label=r\"$m_{SD}^{2}$ (GeV)\", bins=[30, 30, 300]),\n", + " ShapeVar(var=\"H1Msd\", label=r\"$m_{SD}^{1}$ (GeV)\", bins=[30, 30, 300]),\n", + " # ShapeVar(var=\"H1Mass\", label=r\"$m_{reg}^{1}$ (GeV)\", bins=[30, 0, 300]),\n", + " # ShapeVar(var=\"H2PNetMass\", label=r\"$m_{reg}^{2}$ (GeV)\", bins=[30, 0, 300]),\n", + " ShapeVar(var=\"H1Xbb\", label=r\"Xbb$^{1}$\", bins=[30, 0.0, 1]),\n", + " ShapeVar(var=\"H2Xbb\", label=r\"Xbb$^{2}$\", bins=[30, 0.0, 1]),\n", + " ShapeVar(var=\"H1T32\", label=r\"$\\tau_{32}^{1}$\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H2T32\", label=r\"$\\tau_{32}^{2}$\", bins=[30, 0, 1]),\n", + " ShapeVar(var=\"H2Pt\", label=r\"$p_{T}^{2}$ (GeV)\", bins=[30, 0, 600]),\n", + " ShapeVar(var=\"H1Pt\", label=r\"$p_{T}^{1}$ (GeV)\", bins=[30, 0, 600]),\n", + " ShapeVar(\n", + " var=\"HHPt\",\n", + " label=r\"$p_{T}^{1,2}$ (GeV)\",\n", + " bins=[0, 50, 100, 150, 200, 300, 400, 500, 600, 700, 800, 900, 1000],\n", + " reg=False,\n", + " ),\n", + "]\n", + "\n", + "ylims = {\n", + " \"2022\": 5e4,\n", + " \"2022EE\": 4e5,\n", + " \"2023-pre-BPix\": 4e5,\n", + "}\n", + "\n", + "events_plot = {}\n", + "for year in [\"2022EE\"]:\n", + " events_plot[year] = {}\n", + " for key in events_dict_tt[year].keys():\n", + " events = events_dict_tt[year][key]\n", + " # events = events[(events[\"H1Msd\"] > 140)]\n", + " # events = events[(events[\"H1Msd\"] > 140) & (events[\"H1T32\"]<0.46)]\n", + " events_plot[year][key] = events\n", + "\n", + "print(events_plot[\"2022EE\"][\"ttbar\"].columns)\n", + "\n", + "tag = \"tt-semi-lep\"\n", + "# tag = \"tt-semi-lep-msd140\"\n", + "# tag = \"tt-semi-lep-msd140-t32\"\n", + "# tag = \"tt-semi-lep-bypt\"\n", + "os.system(f\"mkdir -p {tag}\")\n", + "\n", + "for year in [\"2022EE\"]:\n", + " hists = {}\n", + " for shape_var in control_plot_vars:\n", + " if shape_var.var not in hists:\n", + " hists[shape_var.var] = utils.singleVarHist(\n", + " events_plot[year],\n", + " shape_var,\n", + " weight_key=\"weight\",\n", + " )\n", + "\n", + " bkgs = [\"ttbar\", \"qcd\", \"vjets\", \"diboson\", \"vjetslnu\"]\n", + " sigs = []\n", + "\n", + " plotting.ratioHistPlot(\n", + " hists[shape_var.var],\n", + " year,\n", + " sigs,\n", + " bkgs,\n", + " name=f\"{tag}/{shape_var.var}\",\n", + " sortyield=True,\n", + " show=False,\n", + " log=True,\n", + " plot_significance=False,\n", + " significance_dir=shape_var.significance_dir,\n", + " ratio_ylims=[0.2, 1.8],\n", + " ylim=ylims[year],\n", + " )\n", + "\n", + "control_plot_vars = [\n", + " ShapeVar(\n", + " var=\"H1Xbb\",\n", + " label=r\"Xbb$^{1}$\",\n", + " bins=[0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.92, 0.94, 0.96, 1],\n", + " reg=False,\n", + " ),\n", + "]\n", + "\n", + "for year in [\"2022EE\"]:\n", + " hists = {}\n", + " for shape_var in control_plot_vars:\n", + " if shape_var.var not in hists:\n", + " hists[shape_var.var] = utils.singleVarHist(\n", + " events_plot[year],\n", + " shape_var,\n", + " weight_key=\"weight\",\n", + " )\n", + "\n", + " bkgs = [\"ttbar\", \"qcd\", \"vjets\", \"diboson\", \"vjetslnu\"]\n", + " sigs = []\n", + "\n", + " plotting.ratioHistPlot(\n", + " hists[shape_var.var],\n", + " year,\n", + " sigs,\n", + " bkgs,\n", + " name=f\"{tag}/{shape_var.var}_logx\",\n", + " sortyield=True,\n", + " show=False,\n", + " log=True,\n", + " # logx=True,\n", + " plot_significance=False,\n", + " significance_dir=shape_var.significance_dir,\n", + " ratio_ylims=[0.2, 1.8],\n", + " ylim=ylims[year],\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "coffea", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.16" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/HH4b/boosted/PostProcessWithBDT.ipynb b/src/HH4b/boosted/PostProcessWithBDT.ipynb index c877affc..6d11b0d2 100644 --- a/src/HH4b/boosted/PostProcessWithBDT.ipynb +++ b/src/HH4b/boosted/PostProcessWithBDT.ipynb @@ -51,8 +51,11 @@ " \"TTtoLNu2Q\",\n", " \"TTto2L2Nu\",\n", " ],\n", + " # \"hh4b\": [\n", + " # \"GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV\",\n", + " # ],\n", " \"hh4b\": [\n", - " \"GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV\",\n", + " \"GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_Private\",\n", " ],\n", " \"data\": [\n", " \"JetMET_Run2022C\",\n", @@ -752,7 +755,7 @@ ], "metadata": { "kernelspec": { - "display_name": "coffea", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -766,10 +769,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.16" - }, - "orig_nbformat": 4 + "version": "3.10.14" + } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/src/HH4b/boosted/TrainBDT.py b/src/HH4b/boosted/TrainBDT.py index 0fb8c256..9c401b53 100644 --- a/src/HH4b/boosted/TrainBDT.py +++ b/src/HH4b/boosted/TrainBDT.py @@ -14,6 +14,7 @@ import xgboost as xgb from sklearn.metrics import roc_curve from sklearn.model_selection import train_test_split +from sklearn.preprocessing import LabelEncoder from HH4b.run_utils import add_bool_arg from HH4b.utils import format_columns, load_samples @@ -48,11 +49,29 @@ def load_data(data_path: str, year: str): ], "ttbar": [ "TTto4Q", + ], + "ttlep": [ "TTtoLNu2Q", ], "hh4b": [ "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV", ], + "vhtobb": [ + "WminusH_Hto2B_Wto2Q_M-125", + "WplusH_Hto2B_Wto2Q_M-125", + "ZH_Hto2B_Zto2Q_M-125", + "ggZH_Hto2B_Zto2Q_M-125", + ], + "vjets": [ + "Wto2Q-3Jets_HT-200to400", + "Wto2Q-3Jets_HT-400to600", + "Wto2Q-3Jets_HT-600to800", + "Wto2Q-3Jets_HT-800", + "Zto2Q-4Jets_HT-200to400", + "Zto2Q-4Jets_HT-400to600", + "Zto2Q-4Jets_HT-600to800", + "Zto2Q-4Jets_HT-800", + ], } } @@ -99,17 +118,25 @@ def load_data(data_path: str, year: str): return events_dict -def preprocess_data(events_dict: dict, model_name: str, test_size: float, seed: int): +def preprocess_data( + events_dict: dict, config_name: str, test_size: float, seed: int, multiclass: bool +): + training_keys = ["hh4b", "qcd", "ttbar"] + # dataframe function - make_bdt_dataframe = importlib.import_module(f"{model_name}") + make_bdt_dataframe = importlib.import_module(f"{config_name}") events_dict_bdt = {} weights_bdt = {} - for key in events_dict: + for key in training_keys: events_dict_bdt[key] = make_bdt_dataframe.bdt_dataframe(events_dict[key]) # get absolute weights (no negative weights) weights_bdt[key] = np.abs(events_dict[key]["weight"].to_numpy()[:, 0]) # concatenate data + # if doing multiclass classification, encode each process separately + label_encoder = LabelEncoder() + label_encoder.classes_ = np.array(training_keys) # need this to maintain training keys order + events = pd.concat( [events_dict_bdt["hh4b"], events_dict_bdt["qcd"], events_dict_bdt["ttbar"]], keys=["hh4b", "qcd", "ttbar"], @@ -131,13 +158,18 @@ def preprocess_data(events_dict: dict, model_name: str, test_size: float, seed: # Define target target = events["target"] + simple_target = events["target"] + if multiclass: + target = label_encoder.transform(list(events.index.get_level_values(0))) + # Define features features = events.drop(columns=["target"]) # Split the (bdt dataframe) dataset - X_train, X_test, y_train, y_test = train_test_split( + X_train, X_test, y_train, y_test, yt_train, yt_test = train_test_split( features, target, + simple_target, test_size=test_size, random_state=seed, # shuffle=False @@ -148,7 +180,7 @@ def preprocess_data(events_dict: dict, model_name: str, test_size: float, seed: weights_test = X_test["weight"].copy() X_test = X_test.drop(columns=["weight"]) - return X_train, X_test, y_train, y_test, weights_train, weights_test + return X_train, X_test, y_train, y_test, weights_train, weights_test, yt_train, yt_test def train_model( @@ -189,15 +221,17 @@ def train_model( def evaluate_model( - model_name: str, + config_name: str, events_dict: dict, model: xgb.XGBClassifier, model_dir: Path, X_test: pd.DataFrame, - y_test: pd.DataFrame, + # y_test: pd.DataFrame, + yt_test: pd.DataFrame, weights_test: np.ndarray, # test_size: float, seed: int, year: str, + multiclass: bool, ): """ 1) Makes ROC curves for testing data @@ -210,10 +244,11 @@ def find_nearest(array, value): idx = (np.abs(array - value)).argmin() return idx - y_scores = model.predict_proba(X_test)[:, 1] + y_scores = model.predict_proba(X_test) + y_scores = y_scores[:, 0] if multiclass else y_scores[:, 1] print("Test ROC with sample weights") - fpr, tpr, thresholds = roc_curve(y_test, y_scores, sample_weight=weights_test) + fpr, tpr, thresholds = roc_curve(yt_test, y_scores, sample_weight=weights_test) roc_info = { "fpr": fpr, @@ -232,7 +267,7 @@ def find_nearest(array, value): # ROC w/o weights print("Test ROC without sample weights") - fpr, tpr, thresholds = roc_curve(y_test, y_scores) + fpr, tpr, thresholds = roc_curve(yt_test, y_scores) # print FPR, TPR for a couple of tprs for tpr_val in [0.10, 0.12, 0.15]: @@ -242,7 +277,7 @@ def find_nearest(array, value): ) # plot BDT scores for test samples - make_bdt_dataframe = importlib.import_module(f"{model_name}") + make_bdt_dataframe = importlib.import_module(f"{config_name}") print("Perform inference on test signal sample") # get hh4b scores from full dataframe @@ -252,11 +287,10 @@ def find_nearest(array, value): # hh4b_indices = x_test.index hh4b_test = events_dict["hh4b"].loc[hh4b_indices] hh4b_bdt_dataframe = make_bdt_dataframe.bdt_dataframe(hh4b_test) - scores["hh4b"] = model.predict_proba(hh4b_bdt_dataframe)[:, 1] - for key in ["qcd", "ttbar"]: - scores[key] = model.predict_proba(make_bdt_dataframe.bdt_dataframe(events_dict[key]))[:, 1] - print("Scores ", scores) - print("HH4b indices", hh4b_indices) + hh4b_preds = model.predict_proba(hh4b_bdt_dataframe) + + print("hh4b ", hh4b_preds) + scores["hh4b"] = hh4b_preds[:, 1] # save scores and indices for testing dataset # TODO: add shifts (e.g. JECs etc) @@ -264,39 +298,143 @@ def find_nearest(array, value): np.save(f"{model_dir}/inferences/{year}/preds.npy", scores["hh4b"]) np.save(f"{model_dir}/inferences/{year}/indices.npy", hh4b_indices) + for key in events_dict: + if key != "hh4b": + scores[key] = model.predict_proba(make_bdt_dataframe.bdt_dataframe(events_dict[key]))[ + :, 1 + ] + print("Scores ", scores) + print("HH4b indices", hh4b_indices) + bdt_axis = hist.axis.Regular(40, 0, 1, name="bdt", label=r"BDT") cat_axis = hist.axis.StrCategory([], name="cat", growth=True) h_bdt = hist.Hist(bdt_axis, cat_axis) - for key in ["hh4b", "qcd", "ttbar"]: - # TODO: add sample weight here... + h_bdt_weight = hist.Hist(bdt_axis, cat_axis) + for key in events_dict: h_bdt.fill(bdt=scores[key], cat=key) - - colors = {"ttbar": "b", "hh4b": "k", "qcd": "r"} - fig, ax = plt.subplots(1, 1, figsize=(6, 4)) - for key in ["hh4b", "qcd", "ttbar"]: - hep.histplot( - h_bdt[{"cat": key}], - ax=ax, - label=f"{key}", - histtype="step", - linewidth=1, - color=colors[key], - density=True, + if key == "hh4b": + h_bdt_weight.fill(bdt=scores[key], cat=key, weight=hh4b_test["weight"]) + else: + h_bdt_weight.fill(bdt=scores[key], cat=key, weight=events_dict[key]["weight"]) + + hists = { + "weight": h_bdt_weight, + "no_weight": h_bdt, + } + for h_key, h in hists.items(): + colors = { + "ttbar": "b", + "hh4b": "k", + "qcd": "r", + "vhtobb": "g", + "vjets": "pink", + "ttlep": "violet", + } + fig, ax = plt.subplots(1, 1, figsize=(6, 4)) + for key in events_dict: + hep.histplot( + h[{"cat": key}], + ax=ax, + label=f"{key}", + histtype="step", + linewidth=1, + color=colors[key], + density=True, + ) + ax.set_yscale("log") + ax.legend( + title=r"FatJets $p_T>$300, \n m$_{SD}$:[30-250] GeV", + bbox_to_anchor=(1.03, 1), + loc="upper left", ) - ax.set_yscale("log") - ax.legend(title=r"FatJets $p_T>$300, m$_{SD}$:[50-250] GeV") - ax.set_ylabel("Density") - ax.set_title("Pre-Selection") + ax.set_ylabel("Density") + ax.set_title("Pre-Selection") + ax.xaxis.grid(True, which="major") + ax.yaxis.grid(True, which="major") + fig.tight_layout() + fig.savefig(model_dir / f"bdt_shape_{h_key}.png") + + # Plot and save ROC figure + fig, ax = plt.subplots(1, 1, figsize=(6, 6)) + bkg_colors = { + "qcd": "r", + "ttbar": "blue", + "merged": "orange", + } + for bkg in ["qcd", "ttbar", "merged"]: + if bkg != "merged": + scores_roc = np.concatenate((scores["hh4b"], scores[bkg])) + sig_jets_score = scores["hh4b"] + bkg_jets_score = scores[bkg] + scores_true = np.concatenate( + [ + np.ones(len(sig_jets_score)), + np.zeros(len(bkg_jets_score)), + ] + ) + scores_weights = np.concatenate([hh4b_test["weight"], events_dict[bkg]["weight"]]) + fpr, tpr, thresholds = roc_curve(scores_true, scores_roc, sample_weight=scores_weights) + else: + fpr, tpr, thresholds = roc_info["fpr"], roc_info["tpr"], roc_info["thresholds"] + + ax.plot(tpr, fpr, linewidth=2, color=bkg_colors[bkg], label=bkg) + + ax.set_title(r"FatJets pT > 300 GeV, Xbb>0.8, m$_{SD}$:[30-250] GeV") + ax.set_xlabel("Signal efficiency") + ax.set_ylabel("Background efficiency") + ax.set_xlim([0.0, 0.5]) + # ax.set_ylim([0, 0.002]) + ax.set_ylim([0, 0.01]) ax.xaxis.grid(True, which="major") ax.yaxis.grid(True, which="major") - fig.savefig(model_dir / "bdt_shape.png") + ax.legend(title=r"Background sample", bbox_to_anchor=(1.03, 1), loc="upper left") + fig.tight_layout() + fig.savefig(model_dir / "roc_weights.png") + + # look into mass sculpting + cat_axis = hist.axis.StrCategory([], name="Sample", growth=True) + cut_axis = hist.axis.StrCategory([], name="Cut", growth=True) + h2_mass_axis = hist.axis.Regular(40, 0, 300, name="mass", label=r"Higgs 2 mass [GeV]") + + hist_h2 = hist.Hist(h2_mass_axis, cut_axis, cat_axis) + hist_h2_msd = hist.Hist(h2_mass_axis, cut_axis, cat_axis) + bdt_cuts = [0, 0.2, 0.6, 0.9, 0.94] + + for key in ["qcd", "ttbar", "vhtobb", "vjets"]: + events = events_dict[key] + h2_mass = events["bbFatJetPNetMass"].to_numpy()[:, 1] + h2_msd = events["bbFatJetMsd"].to_numpy()[:, 1] + + for cut in bdt_cuts: + mask = scores[key] >= cut + hist_h2.fill(h2_mass[mask], str(cut), key) + hist_h2_msd.fill(h2_msd[mask], str(cut), key) + + for key in ["qcd", "ttbar", "vhtobb", "vjets"]: + hists = { + "msd": hist_h2_msd, + "mreg": hist_h2, + } + for hkey, h in hists.items(): + fig, ax = plt.subplots(1, 1, figsize=(6, 6)) + for cut in bdt_cuts: + hep.histplot( + h[{"Sample": key, "Cut": str(cut)}], lw=2, label=f"BDT > {cut}", density=True + ) + ax.legend() + ax.set_ylabel("Density") + ax.set_title(key) + ax.xaxis.grid(True, which="major") + ax.yaxis.grid(True, which="major") + fig.tight_layout() + fig.savefig(model_dir / f"{hkey}2_{key}.png") def main(args): events_dict = load_data(args.data_path, args.year) - X_train, X_test, y_train, y_test, weights_train, weights_test = preprocess_data( - events_dict, args.model_name, args.test_size, args.seed + X_train, X_test, y_train, y_test, weights_train, weights_test, yt_train, yt_test = ( + preprocess_data(events_dict, args.config_name, args.test_size, args.seed, args.multiclass) ) model_dir = Path(f"./bdt_trainings_run3/{args.model_name}/") @@ -327,15 +465,17 @@ def main(args): ) evaluate_model( - args.model_name, + args.config_name, events_dict, model, model_dir, X_test, - y_test, + # y_test, + yt_test, weights_test, # args.test_size, args.seed, args.year, + args.multiclass, ) @@ -359,9 +499,19 @@ def main(args): help="model name", type=str, ) + parser.add_argument( + "--config-name", + default=None, + help="config name in case model name is different", + type=str, + ) parser.add_argument("--test-size", default=0.4, help="testing/training split", type=float) parser.add_argument("--seed", default=42, help="seed for testing/training split", type=int) add_bool_arg(parser, "evaluate-only", "Only evaluation, no training", default=False) + add_bool_arg(parser, "multiclass", "Classify each background separately", default=True) args = parser.parse_args() + if args.config_name is None: + args.config_name = args.model_name + main(args) diff --git a/src/HH4b/boosted/bdt_trainings_run3/v0/bdt_shape.png b/src/HH4b/boosted/bdt_trainings_run3/v0/bdt_shape.png deleted file mode 100644 index 34e72698..00000000 Binary files a/src/HH4b/boosted/bdt_trainings_run3/v0/bdt_shape.png and /dev/null differ diff --git a/src/HH4b/boosted/bdt_trainings_run3/v1_msd30.py b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30.py new file mode 100644 index 00000000..a222170b --- /dev/null +++ b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30.py @@ -0,0 +1,62 @@ +from __future__ import annotations + +import numpy as np +import pandas as pd +import vector + + +def bdt_dataframe(events): + """ + Make dataframe with BDT inputs + NOTE: this function should be saved along with the model for inference usage + """ + + h1 = vector.array( + { + "pt": events["bbFatJetPt"].to_numpy()[:, 0], + "phi": events["bbFatJetPhi"].to_numpy()[:, 0], + "eta": events["bbFatJetEta"].to_numpy()[:, 0], + "M": events["bbFatJetPNetMass"].to_numpy()[:, 0], + } + ) + h2 = vector.array( + { + "pt": events["bbFatJetPt"].to_numpy()[:, 1], + "phi": events["bbFatJetPhi"].to_numpy()[:, 1], + "eta": events["bbFatJetEta"].to_numpy()[:, 1], + "M": events["bbFatJetPNetMass"].to_numpy()[:, 1], + } + ) + hh = h1 + h2 + + df_events = pd.DataFrame( + { + # dihiggs system + "HHlogPt": np.log(hh.pt), + "HHeta": hh.eta, + "HHmass": hh.mass, + # met in the event + "MET": events.MET_pt[0], + # fatjet tau32 + "H1T32": events["bbFatJetTau3OverTau2"].to_numpy()[:, 0], + "H2T32": events["bbFatJetTau3OverTau2"].to_numpy()[:, 1], + # fatjet mass + "H1Mass": events["bbFatJetPNetMass"].to_numpy()[:, 0], + # fatjet kinematics + "H1logPt": np.log(h1.pt), + "H2logPt": np.log(h2.pt), + "H1eta": h1.eta, + "H2eta": h2.eta, + # xbb + "H1Xbb": events["bbFatJetPNetXbb"].to_numpy()[:, 0], + "H1QCD1HF": events["bbFatJetPNetQCD1HF"].to_numpy()[:, 0], + "H1QCD2HF": events["bbFatJetPNetQCD2HF"].to_numpy()[:, 0], + "H1QCD0HF": events["bbFatJetPNetQCD0HF"].to_numpy()[:, 0], + # ratios + "H1Pt_HHmass": h1.pt / hh.mass, + "H2Pt_HHmass": h2.pt / hh.mass, + "H1Pt/H2Pt": h1.pt / h2.pt, + } + ) + + return df_events diff --git a/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/feature_importances.md b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/feature_importances.md new file mode 100644 index 00000000..3b2d4e73 --- /dev/null +++ b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/feature_importances.md @@ -0,0 +1,20 @@ +| | Importance | +| --: | :--------------------------- | +| 0 | ('H1Xbb', 0.22732738) | +| 1 | ('H1Mass', 0.22708549) | +| 2 | ('HHmass', 0.06950538) | +| 3 | ('H1Pt_HHmass', 0.06266637) | +| 4 | ('H1T32', 0.03419379) | +| 5 | ('H1QCD1HF', 0.03384206) | +| 6 | ('H2Pt_HHmass', 0.032112677) | +| 7 | ('HHlogPt', 0.031875957) | +| 8 | ('H1QCD0HF', 0.03126706) | +| 9 | ('H2T32', 0.031131933) | +| 10 | ('MET', 0.030263063) | +| 11 | ('HHeta', 0.02950238) | +| 12 | ('H1QCD2HF', 0.028220909) | +| 13 | ('H2logPt', 0.027483577) | +| 14 | ('H2eta', 0.026824268) | +| 15 | ('H1logPt', 0.025819678) | +| 16 | ('H1Pt/H2Pt', 0.025458219) | +| 17 | ('H1eta', 0.025419803) | diff --git a/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_hh4b.npy b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_hh4b.npy new file mode 100644 index 00000000..eaf88875 Binary files /dev/null and b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_hh4b.npy differ diff --git a/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_qcd.npy b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_qcd.npy new file mode 100644 index 00000000..ef10c1fb Binary files /dev/null and b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_qcd.npy differ diff --git a/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_ttbar.npy b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_ttbar.npy new file mode 100644 index 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b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/roc_dict.pkl differ diff --git a/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/trained_bdt.model b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/trained_bdt.model new file mode 100644 index 00000000..4b3e0cf6 Binary files /dev/null and b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30/trained_bdt.model differ diff --git a/src/HH4b/boosted/bdt_trainings_run3/v1_msd30_nomulticlass/trained_bdt.model b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30_nomulticlass/trained_bdt.model new file mode 100644 index 00000000..8d2242f7 Binary files /dev/null and b/src/HH4b/boosted/bdt_trainings_run3/v1_msd30_nomulticlass/trained_bdt.model differ diff --git a/src/HH4b/boosted/v11v12Check.ipynb b/src/HH4b/boosted/v11v12Check.ipynb index 91764188..035dfcd0 100644 --- a/src/HH4b/boosted/v11v12Check.ipynb +++ b/src/HH4b/boosted/v11v12Check.ipynb @@ -1790,6 +1790,16 @@ " + f\"\\n | Xbb$_{i}$ v11 > 0.974\"\n", " )\n", " # ax.legend(title=f\"Xbb AK8 Jet {i} \\n \" + r\"300 < p$_T$ < 600\" + f\"\\n Xbb$_{i}$ > 0.8\\n\" + r\"m$_{SD}$:[50-250]\")\n", + " # ax.legend(title=f\"Xbb AK8 Jet {i} \\n \" + r\"300 < p$_T$ < 600\" + f\"\\n Xbb$_{i}$ > 0.95\")\n", + " # ax.legend(title=f\"Xbb AK8 Jet {i} \\n \" + r\"300 < p$_T$ < 600\" + f\"\\n Xbb$_{i}$ > 0.8\\n\" + r\"m$_{SD}$>30\")\n", + " ax.legend(\n", + " title=f\"Xbb AK8 Jet {i} \\n \"\n", + " + r\"300 < p$_T$ < 600\"\n", + " + r\" m$_{SD}$>30\"\n", + " + f\"\\n Xbb$_{i}$ v12 > 0.938\"\n", + " + f\"\\n | Xbb$_{i}$ v11 > 0.974\"\n", + " )\n", + " # ax.legend(title=f\"Xbb AK8 Jet {i} \\n \" + r\"300 < p$_T$ < 600\" + f\"\\n Xbb$_{i}$ > 0.8\\n\" + r\"m$_{SD}$:[50-250]\")\n", " ax.set_ylabel(\"Density\")\n", " ax.set_title(\"GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00 (2022EE)\")\n", " ax.xaxis.grid(True, which=\"major\")\n", diff --git a/src/HH4b/combine/binder/BiasTest.ipynb b/src/HH4b/combine/binder/BiasTest.ipynb index 93e4eb57..cd0649d6 100644 --- a/src/HH4b/combine/binder/BiasTest.ipynb +++ b/src/HH4b/combine/binder/BiasTest.ipynb @@ -29,7 +29,7 @@ "source": [ "MAIN_DIR = Path(\"../../../../\")\n", "\n", - "plot_dir = MAIN_DIR / \"plots/BiasTest/run3-bdt-apr2\"\n", + "plot_dir = MAIN_DIR / \"plots/BiasTest/run3-bdt-apr16\"\n", "plot_dir.mkdir(exist_ok=True, parents=True)" ] }, @@ -39,8 +39,8 @@ "metadata": {}, "outputs": [], "source": [ - "cards_dir = \"run3-bdt-apr2\"\n", - "r_bounds = [-5, 20]\n", + "cards_dir = \"run3-bdt-apr16\"\n", + "r_bounds = [-15, 20]\n", "biases = [0, 1]\n", "samples = [\"sm\"]" ] @@ -163,7 +163,12 @@ "\n", " ax = axs[i] if len(biases) > 1 else axs\n", "\n", - " ax.hist(reldiff, np.linspace(-xrange, xrange, bins + 1), histtype=\"step\")\n", + " ax.hist(\n", + " reldiff,\n", + " np.linspace(-xrange, xrange, bins + 1),\n", + " histtype=\"step\",\n", + " label=f\"{len(reldiff)} Toys\",\n", + " )\n", " ax.plot(\n", " x,\n", " # scale by bin width\n", @@ -173,7 +178,7 @@ " ax.set_xlabel(rf\"$\\frac{{\\hat{{r}} - {bias}}}{{\\Delta \\hat r}}$\")\n", " ax.set_ylabel(\"Number of toys\")\n", " ax.set_title(f\"r = {bias}\")\n", - " ax.legend()\n", + " ax.legend(title=\"Combined\")\n", "\n", " hep.cms.label(\n", " \"Preliminary\",\n", diff --git a/src/HH4b/combine/binder/FTest.ipynb b/src/HH4b/combine/binder/FTest.ipynb index 7d5e6a36..9e497dcb 100644 --- a/src/HH4b/combine/binder/FTest.ipynb +++ b/src/HH4b/combine/binder/FTest.ipynb @@ -29,7 +29,9 @@ "source": [ "MAIN_DIR = Path(\"../../../../\")\n", "\n", - "plot_dir = MAIN_DIR / \"plots/FTests/run3-bdt-apr2\"\n", + "passbin = \"passbin3\"\n", + "\n", + "plot_dir = MAIN_DIR / f\"plots/FTests/run3-bdt-apr16/{passbin}\"\n", "plot_dir.mkdir(exist_ok=True, parents=True)" ] }, @@ -57,22 +59,15 @@ " return numerator / denominator" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Nonresonant" - ] - }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "eos_cards_dir = \"/uscms/home/jduarte1/nobackup/HH4b/src/HH4b/cards/f_tests/run3-bdt-apr2\"\n", - "local_cards_dir = \"/uscms/home/jduarte1/nobackup/HH4b/src/HH4b/cards/f_tests/run3-bdt-apr2\"\n", - "test_orders = [0]\n", + "local_cards_dir = \"/uscms/home/jduarte1/nobackup/HH4b/src/HH4b/cards/f_tests/run3-bdt-apr16\"\n", + "\n", + "test_orders = [0, 1]\n", "test_statistics = {}\n", "\n", "for o1 in test_orders:\n", @@ -84,13 +79,13 @@ "\n", " # test statistics for toys generated by (o1, o2) order model\n", " file = uproot.concatenate(\n", - " f\"{eos_cards_dir}/nTF_{nTF}/higgsCombineToys{tlabel}.GoodnessOfFit.mH125.*.root\"\n", + " f\"{local_cards_dir}/{passbin}_nTF_{nTF}/higgsCombineToys{tlabel}.GoodnessOfFit.mH125.*.root\"\n", " )\n", " tdict[\"toys\"][tflabel] = np.array(file[\"limit\"])\n", "\n", " # data test statistic\n", " file = uproot.concatenate(\n", - " f\"{local_cards_dir}/nTF_{nTF}/higgsCombineData.GoodnessOfFit.mH125.root\"\n", + " f\"{local_cards_dir}/{passbin}_nTF_{nTF}/higgsCombineData.GoodnessOfFit.mH125.root\"\n", " )\n", " tdict[\"data\"][tflabel] = file[\"limit\"][0]\n", "\n", @@ -169,7 +164,7 @@ " year=None,\n", " )\n", "\n", - " _ = plt.legend()\n", + " _ = plt.legend(title=f\"Category {passbin[-1]}\")\n", " plt.title(title)\n", " plt.ylabel(\"Number of Toys\")\n", " plt.xlabel(\"Test Statistic\")\n", @@ -183,11 +178,11 @@ "metadata": {}, "outputs": [], "source": [ - "o1 = 0 # order being tested\n", + "o1 = 1 # order being tested\n", "tlabel = f\"{o1}\"\n", "\n", "data_ts, toy_ts = test_statistics[tlabel][\"data\"][tlabel], test_statistics[tlabel][\"toys\"][tlabel]\n", - "plot_tests(data_ts, toy_ts, \"gof\" + tlabel, fit=\"chi2\", bins=20)\n", + "plot_tests(data_ts, toy_ts, \"gof\" + tlabel, fit=\"chi2\", title=f\"GOF test, order {o1}\", bins=20)\n", "\n", "ord1 = o1 + 1\n", "tflabel = f\"{ord1}\"\n", @@ -195,7 +190,9 @@ " test_statistics[tlabel][\"fdata\"][tflabel],\n", " test_statistics[tlabel][\"ftoys\"][tflabel],\n", ")\n", - "plot_tests(data_ts, toy_ts, f\"f{tlabel}_{tflabel}\", title=f\"{o1} vs. {ord1}\", xlim=100)" + "plot_tests(\n", + " data_ts, toy_ts, f\"f{tlabel}_{tflabel}\", title=f\"F-test, order {o1} vs. {ord1}\", xlim=100\n", + ")" ] }, { diff --git a/src/HH4b/combine/run_blinded_hh4b.sh b/src/HH4b/combine/run_blinded_hh4b.sh index f9e05fb7..5fd872a2 100755 --- a/src/HH4b/combine/run_blinded_hh4b.sh +++ b/src/HH4b/combine/run_blinded_hh4b.sh @@ -40,8 +40,9 @@ impactsc=0 seed=42 numtoys=100 bias=-1 +passbin=1 -options=$(getopt -o "wblsdgti" --long "workspace,bfit,limits,significance,dfit,gofdata,goftoys,impactsi,impactsf:,impactsc:,bias:,seed:,numtoys:" -- "$@") +options=$(getopt -o "wblsdgti" --long "workspace,bfit,limits,significance,dfit,gofdata,goftoys,impactsi,impactsf:,impactsc:,bias:,seed:,numtoys:,passbin:" -- "$@") eval set -- "$options" while true; do @@ -90,6 +91,10 @@ while true; do shift bias=$1 ;; + --passbin) + shift + passbin=$1 + ;; --) shift break;; @@ -107,7 +112,7 @@ done echo "Arguments: workspace=$workspace bfit=$bfit limits=$limits \ significance=$significance dfit=$dfit gofdata=$gofdata goftoys=$goftoys \ -seed=$seed numtoys=$numtoys" +seed=$seed numtoys=$numtoys passbin=$passbin" #################################################################################################### @@ -128,9 +133,15 @@ outsdir=${cards_dir}/outs mkdir -p $outsdir # args -ccargs="fail=${cards_dir}/fail.txt failMCBlinded=${cards_dir}/failMCBlinded.txt passbin1=${cards_dir}/passbin1.txt passbin1MCBlinded=${cards_dir}/passbin1MCBlinded.txt" -maskunblindedargs="mask_passbin1=1,mask_fail=1,mask_passbin1MCBlinded=0,mask_failMCBlinded=0" -maskblindedargs="mask_passbin1=0,mask_fail=0,mask_passbin1MCBlinded=1,mask_failMCBlinded=1" +if [ $passbin = 0 ]; then + ccargs="fail=${cards_dir}/fail.txt failMCBlinded=${cards_dir}/failMCBlinded.txt passbin1=${cards_dir}/passbin1.txt passbin1MCBlinded=${cards_dir}/passbin1MCBlinded.txt passbin2=${cards_dir}/passbin2.txt passbin2MCBlinded=${cards_dir}/passbin2MCBlinded.txt passbin3=${cards_dir}/passbin3.txt passbin3MCBlinded=${cards_dir}/passbin3MCBlinded.txt" + maskunblindedargs="mask_passbin1=1,mask_passbin2=1,mask_passbin3=1,mask_fail=1,mask_passbin1MCBlinded=0,mask_passbin2MCBlinded=0,mask_passbin3MCBlinded=0,mask_failMCBlinded=0" + maskblindedargs="mask_passbin1=0,mask_passbin2=0,mask_passbin3=0,mask_fail=0,mask_passbin1MCBlinded=1,mask_passbin2MCBlinded=1,mask_passbin3MCBlinded=1,mask_failMCBlinded=1" +else + ccargs="fail=${cards_dir}/fail.txt failMCBlinded=${cards_dir}/failMCBlinded.txt passbin${passbin}=${cards_dir}/passbin${passbin}.txt passbin1MCBlinded=${cards_dir}/passbin${passbin}MCBlinded.txt" + maskunblindedargs="mask_passbin${passbin}=1,mask_fail=1,mask_passbin${passbin}MCBlinded=0,mask_failMCBlinded=0" + maskblindedargs="mask_passbin${passbin}=0,mask_fail=0,mask_passbin${passbin}MCBlinded=1,mask_failMCBlinded=1" +fi # freeze qcd params in blinded bins setparamsblinded="" @@ -313,8 +324,23 @@ if [ "$bias" != -1 ]; then echo "Bias test with bias $bias" # setting verbose > 0 here can lead to crazy large output files (~10-100GB!) because of getting # stuck in negative yield areas + + if [ $passbin = 1 ]; then + rmin="-15" + rmax="20" + elif [ $passbin = 2 ]; then + rmin="-30" + rmax="40" + elif [ $passbin = 3 ]; then + rmin="-150" + rmax="200" + else + rmin="-15" + rmax="20" + fi + combine -M FitDiagnostics --trackParameters r --trackErrors r --justFit \ - -m 125 -n "bias${bias}" -d ${wsm_snapshot}.root --rMin "-15" --rMax 20 \ + -m 125 -n "bias${bias}" -d ${wsm_snapshot}.root --rMin ${rmin} --rMax ${rmax} \ --snapshotName MultiDimFit --bypassFrequentistFit --toysFrequentist --expectSignal "$bias" \ ${unblindedparams},r=$bias --floatParameters ${freezeparamsblinded} \ --robustFit=1 -t "$numtoys" -s "$seed" \ diff --git a/src/HH4b/combine/run_ftest_hh4b.sh b/src/HH4b/combine/run_ftest_hh4b.sh index a5efa43d..53238806 100755 --- a/src/HH4b/combine/run_ftest_hh4b.sh +++ b/src/HH4b/combine/run_ftest_hh4b.sh @@ -20,8 +20,9 @@ seed=42 numtoys=100 order=0 year="2022EE" +passbin=1 -options=$(getopt -o "tfdlo:s:y" --long "cardstag:,templatestag:,goftoys,ffits,dfit,limits,order:,numtoys:,seed:,year:" -- "$@") +options=$(getopt -o "tfdlo:s:y" --long "cardstag:,templatestag:,goftoys,ffits,dfit,limits,order:,numtoys:,seed:,year:,passbin:" -- "$@") eval set -- "$options" while true; do @@ -62,6 +63,10 @@ while true; do shift year=$1 ;; + --passbin) + shift + passbin=$1 + ;; --) shift break;; @@ -78,14 +83,14 @@ while true; do done echo "Arguments: cardstag=$cards_tag templatestag=$templates_tag dfit=$dfit \ -goftoys=$goftoys ffits=$ffits order=$order seed=$seed numtoys=$numtoys year=$year" +goftoys=$goftoys ffits=$ffits order=$order seed=$seed numtoys=$numtoys year=$year passbin=$passbin" #################################################################################################### # Set up fit args #################################################################################################### -templates_dir="/uscms/home/cmantill/nobackup/HH4b/src/HH4b/postprocessing/templates/${templates_tag}" +templates_dir="/uscms/home/jduarte1/nobackup/HH4b/src/HH4b/postprocessing/templates/${templates_tag}" cards_dir="cards/f_tests/${cards_tag}/" mkdir -p "${cards_dir}" echo "Saving datacards to ${cards_dir}" @@ -96,7 +101,7 @@ wsm_snapshot=higgsCombineSnapshot.MultiDimFit.mH125 outsdir="./outs" # nonresoant args -maskunblindedargs="mask_passbin1=1,mask_fail=1,mask_passMCBlinded=0,mask_failMCBlinded=0" +maskunblindedargs="mask_passbin${passbin}=1,mask_fail=1,mask_passbin${passbin}MCBlinded=0,mask_failMCBlinded=0" # freeze qcd params in blinded bins setparamsblinded="" @@ -118,13 +123,13 @@ freezeparamsblinded=${freezeparamsblinded%,} for ord in {0..3} do - model_name="nTF_${ord}" + model_name="passbin${passbin}_nTF_${ord}" # create datacards if they don't already exist if [ ! -f "${cards_dir}/${model_name}/fail.txt" ]; then echo "Making Datacard for $model_name" python3 -u postprocessing/CreateDatacard.py --templates-dir "${templates_dir}" \ - --model-name "${model_name}" --nTF "${ord}" --cards-dir "${cards_dir}" --year "${year}" + --model-name "${model_name}" --nTF "${ord}" --cards-dir "${cards_dir}" --year "${year}" --regions pass_bin${passbin} fi cd "${cards_dir}/${model_name}/" || exit @@ -133,15 +138,15 @@ do # make workspace, background-only fit, GoF on data if they don't already exist if [ ! -f "./higgsCombineData.GoodnessOfFit.mH125.root" ]; then echo "Making workspace, doing b-only fit and gof on data" - /uscms_data/d1/jduarte1/HH4b/src/HH4b/combine/run_blinded_hh4b.sh -wbg + /uscms_data/d1/jduarte1/HH4b/src/HH4b/combine/run_blinded_hh4b.sh -wbg --passbin=${passbin} fi if [ $dfit = 1 ]; then - /uscms_data/d1/jduarte1/HH4b/src/HH4b/combine/run_blinded_hh4b.sh -d + /uscms_data/d1/jduarte1/HH4b/src/HH4b/combine/run_blinded_hh4b.sh -d --passbin=${passbin} fi if [ $limits = 1 ]; then - /uscms_data/d1/jduarte1/HH4b/src/HH4b/combine/run_blinded_hh4b.sh -l + /uscms_data/d1/jduarte1/HH4b/src/HH4b/combine/run_blinded_hh4b.sh -l --passbin=${passbin} fi cd - || exit @@ -152,7 +157,7 @@ done # Generate toys for lower order #################################################################################################### -model_name="nTF_$order" +model_name="passbin${passbin}_nTF_${order}" toys_name=$order cd "${cards_dir}/${model_name}/" || exit toys_file="$(pwd)/higgsCombineToys${toys_name}.GenerateOnly.mH125.$seed.root" @@ -181,7 +186,7 @@ fi if [ $ffits = 1 ]; then for ord in $order $((order+1)) do - model_name="nTF_${ord}" + model_name="passbin${passbin}_nTF_${ord}" echo "Fits for $model_name" cd "${cards_dir}/${model_name}/" || exit diff --git a/src/HH4b/hh_vars.py b/src/HH4b/hh_vars.py index c90aaad5..dee10dcf 100644 --- a/src/HH4b/hh_vars.py +++ b/src/HH4b/hh_vars.py @@ -23,6 +23,7 @@ "Run2": 137640.0, } + # sample key -> list of samples or selectors common_samples = { "hh4b": ["GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV_TSG"], diff --git a/src/HH4b/plotting.py b/src/HH4b/plotting.py index 857b2e84..5ca93231 100644 --- a/src/HH4b/plotting.py +++ b/src/HH4b/plotting.py @@ -85,6 +85,7 @@ "hh4b-kl2p45": "brown", "hh4b-kl5": "cyan", "ttbar": colours["darkblue"], + "ttlep": "cadetblue", "qcd": colours["canary"], "qcd-ht": colours["canary"], "qcdb-ht": colours["canary"], @@ -110,6 +111,7 @@ "diboson": "VV", "dibosonvjets": "VV+VJets", "ttbar": r"$t\bar{t}$ + Jets", + "ttlep": r"$t\bar{t}$ + Jets (Lep)", "vjets": r"W/Z$(qq)$ + Jets", "vjetslnu": r"W/Z$(\ell\nu/\ell\ell)$ + Jets", "data": "Data", @@ -479,6 +481,7 @@ def ratioHistPlot( plot_data: bool = True, bg_order=None, log: bool = False, + logx: bool = False, ratio_ylims: list[float] | None = None, plot_significance: bool = False, significance_dir: str = "right", @@ -621,6 +624,8 @@ def ratioHistPlot( if log: ax.set_yscale("log") + if logx: + ax.set_xscale("log") handles, labels = ax.get_legend_handles_labels() handles = handles[-1:] + handles[len(bg_keys) : -1] + handles[: len(bg_keys)][::-1] diff --git a/src/HH4b/postprocessing/BDT_boosted.ipynb b/src/HH4b/postprocessing/BDT_boosted.ipynb deleted file mode 100644 index 56cdc0f3..00000000 --- a/src/HH4b/postprocessing/BDT_boosted.ipynb +++ /dev/null @@ -1,943 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "b003fdb7-5d91-4742-b23e-099459ad23b0", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/cmantill/miniconda3/envs/coffea/lib/python3.8/site-packages/xgboost/compat.py:85: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n", - " from pandas import MultiIndex, Int64Index\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "from sklearn.model_selection import train_test_split\n", - "from xgboost import XGBClassifier\n", - "from sklearn.metrics import accuracy_score, roc_auc_score\n", - "from sklearn.metrics import roc_curve, auc\n", - "\n", - "import HH4b.utils as utils\n", - "import HH4b.plotting as plotting\n", - "import postprocessing\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import mplhep as hep" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "e6f828eb", - "metadata": {}, - "outputs": [], - "source": [ - "# automatically reloads imported files on edits\n", - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "deabb526-29f4-4163-9feb-4131d6b9e538", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading QCD_HT-2000\n", - "Loading QCD_HT-800to1000\n", - "Loading QCD_HT-600to800\n", - "Loading QCD_HT-1500to2000\n", - "Loading QCD_HT-200to400\n", - "Loading QCD_HT-1000to1200\n", - "Loading QCD_HT-1200to1500\n", - "Loading TTtoLNu2Q\n", - "Loading TTto4Q\n", - "Loading GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV\n", - "Loading VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8\n", - "Loading WplusH_Hto2B_Wto2Q_M-125\n", - "Loading WminusH_Hto2B_Wto2Q_M-125\n", - "Loading ZH_Hto2B_Zto2Q_M-125\n", - "Keys:\n", - "dict_keys(['qcd', 'ttbar', 'hh4b', 'vbfhh4b', 'vhbb'])\n", - "[('weight', 0), ('MET_pt', 0), ('nFatJets', 0), ('ak8FatJetPt', 0), ('ak8FatJetPt', 1), ('ak8FatJetEta', 0), ('ak8FatJetEta', 1), ('ak8FatJetPhi', 0), ('ak8FatJetPhi', 1), ('ak8FatJetMsd', 0), ('ak8FatJetMsd', 1), ('ak8FatJetPNetMass', 0), ('ak8FatJetPNetMass', 1), ('ak8FatJetPNetXbb', 0), ('ak8FatJetPNetXbb', 1), ('ak8FatJetTau3OverTau2', 0), ('ak8FatJetTau3OverTau2', 1), ('weight_nonorm', '')]\n" - ] - } - ], - "source": [ - "# Load your dataset\n", - "samples = {\n", - " \"qcd\": [\n", - " \"QCD_HT-200to400\",\n", - " # \"QCD_HT-400to600\",\n", - " \"QCD_HT-600to800\",\n", - " \"QCD_HT-800to1000\",\n", - " \"QCD_HT-1000to1200\",\n", - " \"QCD_HT-1200to1500\",\n", - " \"QCD_HT-1500to2000\",\n", - " \"QCD_HT-2000\",\n", - " ],\n", - " \"ttbar\": [\n", - " \"TTto4Q\",\n", - " \"TTtoLNu2Q\",\n", - " ],\n", - " \"hh4b\": [\n", - " \"GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV\",\n", - " ],\n", - " \"vbfhh4b\": [\n", - " \"VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8\",\n", - " ],\n", - " \"vhbb\": [\"ZH_Hto2B_Zto2Q_M-125\", \"WplusH_Hto2B_Wto2Q_M-125\", \"WminusH_Hto2B_Wto2Q_M-125\"],\n", - "}\n", - "\n", - "MAIN_DIR = \"../../../\"\n", - "year = \"2022EE\"\n", - "dir_name = \"24Jan18_v12\"\n", - "# path_to_dir = f\"/eos/uscms/store/user/dprim7/bbbb/skimmer/{dir_name}/\"\n", - "path_to_dir = f\"{MAIN_DIR}/../data/skimmer/{dir_name}/\"\n", - "dirs = {path_to_dir: samples}\n", - "\n", - "# columns to load\n", - "load_columns = [\n", - " (\"weight\", 1),\n", - " (\"MET_pt\", 1),\n", - " (\"nFatJets\", 1),\n", - " (\"ak8FatJetPt\", 2),\n", - " (\"ak8FatJetEta\", 2),\n", - " (\"ak8FatJetPhi\", 2),\n", - " (\"ak8FatJetMsd\", 2),\n", - " (\"ak8FatJetPNetMass\", 2),\n", - " (\"ak8FatJetPNetXbb\", 2),\n", - " (\"ak8FatJetTau3OverTau2\", 2),\n", - "]\n", - "# reformat into (\"column name\", \"idx\") format for reading multiindex columns\n", - "columns = []\n", - "for key, num_columns in load_columns:\n", - " for i in range(num_columns):\n", - " columns.append(f\"('{key}', '{i}')\")\n", - "\n", - "filters = [\n", - " [\n", - " (\"('ak8FatJetMsd', '0')\", \"<=\", 250),\n", - " (\"('ak8FatJetMsd', '1')\", \"<=\", 250),\n", - " (\"('MET_pt', '0')\", \"<=\", 1000),\n", - " ]\n", - "]\n", - "\n", - "events_dict = {}\n", - "for input_dir, samples in dirs.items():\n", - " events_dict = {\n", - " **events_dict,\n", - " # this function will load files (only the columns selected), apply filters and compute a weight per event\n", - " **utils.load_samples(input_dir, samples, year, filters=filters, columns_mc=columns),\n", - " }\n", - "\n", - "\n", - "print(\"Keys:\")\n", - "print(events_dict.keys())\n", - "samples_loaded = list(events_dict.keys())\n", - "keys_loaded = list(events_dict[samples_loaded[0]].keys())\n", - "print(keys_loaded)" - ] - }, - { - "cell_type": "markdown", - "id": "2d90a9ee", - "metadata": {}, - "source": [ - "The h candidates are the first two fatjets (ordered by Xbb):" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "e2f37890", - "metadata": {}, - "outputs": [], - "source": [ - "# this mask assumes that only two jets are loaded and the 3rd jet is not relevant\n", - "# TODO: sort jets in skimmer\n", - "bb_masks = postprocessing.bb_assignment(events_dict)\n", - "\n", - "events_dict_bdt = {}\n", - "\n", - "for key, events in events_dict.items():\n", - " # all the features that start with \"bb\" will apply this mask\n", - " bb_mask = bb_masks[key]\n", - "\n", - " # for feat in [\"Pt\",\"Eta\",\"Phi\",\"PNetMass\"]:\n", - " # for i in range(2):\n", - " # events[f\"bb{i}FatJet{feat}\"] = utils.get_feat(events, f\"bb{i}FatJet{feat}\", bb_masks[key])\n", - "\n", - " # this function will take the bb_mask into account automatically\n", - " h1 = utils.make_vector(events, \"bb0FatJet\", bb_mask=bb_mask, mstring=\"PNetMass\")\n", - " h2 = utils.make_vector(events, \"bb1FatJet\", bb_mask=bb_mask, mstring=\"PNetMass\")\n", - "\n", - " # dihiggs candidate object\n", - " hh = h1 + h2\n", - "\n", - " # bdt variables\n", - " df = pd.DataFrame(\n", - " {\n", - " # dihiggs system\n", - " \"HHlogPt\": np.log(hh.pt),\n", - " \"HHeta\": hh.eta,\n", - " \"HHmass\": hh.mass,\n", - " # met in the event\n", - " \"MET\": events.MET_pt[0],\n", - " # fatjet tau32\n", - " \"H1T32\": utils.get_feat(events, \"bb0FatJetTau3OverTau2\", bb_mask),\n", - " \"H2T32\": utils.get_feat(events, \"bb1FatJetTau3OverTau2\", bb_mask),\n", - " # fatjet mass (not H2)\n", - " \"H1Msd\": utils.get_feat(events, \"bb0FatJetMsd\", bb_mask),\n", - " \"H1Mass\": h1.mass,\n", - " # fatjet kinematics\n", - " \"H1logPt\": np.log(h1.pt),\n", - " \"H2logPt\": np.log(h2.pt),\n", - " \"H1eta\": h1.eta,\n", - " \"H2eta\": h2.eta,\n", - " \"H1_dRH2\": h1.deltaR(h2),\n", - " \"H1_dPhiH2\": h1.deltaphi(h2),\n", - " # xbb\n", - " \"H1Xbb\": utils.get_feat(events, \"bb0FatJetPNetXbb\", bb_mask),\n", - " # ratios\n", - " \"H1Pt_HHmass\": h1.pt / hh.mass,\n", - " \"H2Pt_HHmass\": h2.pt / hh.mass,\n", - " \"H1Pt/H2Pt\": h1.pt / h2.pt,\n", - " # --- additional features to consider? -----\n", - " # H2Msd\n", - " # number of fatjets in the event\n", - " # add VBF jet information?\n", - " # cos(theta_star)\n", - " }\n", - " )\n", - "\n", - " df.replace(np.inf, 10000, inplace=True)\n", - " df.replace(-np.inf, 10000, inplace=True)\n", - "\n", - " events_dict_bdt[key] = df" - ] - }, - { - "cell_type": "markdown", - "id": "6a4d9fdc", - "metadata": {}, - "source": [ - "Now we plot the BDT variables" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "0241342e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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vv39ceumlMXjw4CgUCiWtmTVrVlx11VVx3XXXxbp16xLvucMOO8SkSZOibdu2idcCAADNz49//OM488wzG71+wIABcdFFF8WBBx4YW2yxRaK177//fvz2t7+N73//+zFlypRGZ6ipqYmnnnoq9t9//0Y/A4CmpVANkDPFYjFefvnlmDhxYkyePDkmT54cM2bMiGXLlsWyZctixYoV0bJly2jXrl20a9cuunbtGv3794+dd945dt111xg0aFC0bNky6w8jF4rFYrz55pvx/PPP/+Ospk2bFkuXLo1ly5bF8uXLo66u7h9n1blz59hxxx1jp512il122SU+8YlPeBEKICPFYjH23XffGD9+fOK1HTt2jAsuuCBOPfXUxN/k+yDjxo2Liy++uNHF6rq6upg0aVLsvPPOm50FAABI39tvvx39+/dPXGzu0KFD3HTTTTF06NCSi9T/6Z133oljjz02XnjhhcRrv/Wtb8Vll13WqH0BAIDmY/78+dG7d+9Yvnx54rV9+/aNyy67LI488shGf13zdxs2bIi77rorLr300kYXq3v37h2vvvqqi+oAqoRCNQAAQJk9+uij8ZnPfCbxuu233z6eeOKJ2GGHHcqap1gsxs9//vP45je/GWvXrk28fp999ok//elPUVNTU9ZcAABA+R111FHxwAMPJFrzP//zP/HYY49Fnz59Nnv/NWvWxMiRI+Pmm29OtK5Vq1bx5ptvRo8ePTY7AwAAUL3OOeecuOqqqxKvO/jgg+Pee++NNm3alDXP6tWr4/TTT4+bbrqpUevPO++8+P73v1/WTACkQ6EaAACgjIrFYuy5557x4osvJlq32267xejRo2ObbbZJKVnEhAkT4uijj44ZM2YkXnvPPffEsGHDUkgFAACUyzPPPJP47aT79OkTzzzzTGy77bZly9HQ0BBf+9rX4pe//GWidV/60pfitttuK1sOAACgusydOze23377WLVqVaJ1X/ziF+Pmm2+OFi1apJQs4rbbbouvf/3ribPV19fH1KlTo3v37iklA6BcFKoBAADK6IUXXoi999470Zptt902Xn311ejYsWNKqf5pxowZMXDgwJgzZ06idbvssku89NJLbqkGAIAK9r//+78xduzYkufbtm0bL774Ynz0ox8te5YNGzbEwQcfHL///e9LXlMoFGLKlCmp5AEAACrflVdeGeedd16iNZ/5zGfioYceapLXL0aPHh2f/exnY8OGDYnWnXbaaXHttdemlAqAcvFKOAAAQBklfVvriIgbb7yxScrUERG9evWKRx55JFq3bp1o3auvvhqPP/54SqkAAIDNNXHixERl6oiIG264IbXycm1tbdx+++3xkY98pOQ1xWJRyQAAAHKqWCwmfo1lyy23jOuvv77JLoM55JBD4mc/+1nidTfeeGMsXLgwhUQAlJNCNQAAQJmsWbMm7rzzzkRrjj/++DjkkENSSvTB9thjj/jVr36VeF1j1gAAAE3jRz/6UaL5Qw89NI499th0wvyfrbfeOq655ppEa2655ZZYsmRJSokAAIBKNWHChJgyZUqiNT/84Q+jW7duKSX6YCeffHKcdtppidasWbMm7r777pQSAVAuCtUAAABl8uyzzyZ64b9ly5Zx1VVXpZjowx111FFx4IEHJlrz4IMPKjYAAEAFmjt3btx1110lz9fV1cXVV1+dYqJ/OvbYY2PQoEElzy9fvjxuu+22FBMBAACV6NFHH000v+eee8bxxx+fUpqNGzVqVHTu3DnRGl/nAFQ+hWoAAIAyeeKJJxLNH3nkkYm/4VYuhUIhrr766kRvg7dmzZp4+umnU0wFAAA0xr333hvr1q0reX7YsGHRr1+/FBP9U6FQiAsvvDDRmjvuuCOlNAAAQKVK+hrLiSeeGIVCIaU0G7flllvGJZdckmjN+PHj4/33308pEQDloFANAABQJkm/2XfCCSeklKQ0u+66awwfPjzRGoVqAACoPElup46IOOmkk1JK8sEOOuig6NmzZ8nz48ePj5kzZ6aYCAAAqCSLFy+OF154oeT5Vq1aJX59o9xOOumkRF/nRESMGTMmnTAAlIVCNQAAQBmsWbMmXn755ZLne/ToEQcccECKiUrz+c9/PtH8H//4x5SSAAAAjTF79uz405/+VPJ87969Y//9908v0Aeora2Nr371q4nW3HvvvSmlAQAAKs2LL74YDQ0NJc8PGzYsOnTokGKiTWvRokUcddRRidZ4jQWgsilUAwAAlMHrr78eGzZsKHn+0EMPjdra2hQTleaggw6KLbbYouT5KVOmJPqmJgAAkK4HH3wwisViyfMnnnhi1NQ0/ctDX/nKVxLte99996WYBgAAqCSvvPJKovnDDjsspSTJfO5zn0s0/8Ybb6QTBICyUKgGAAAogyS3U0dEfPzjH08pSTKtW7eOT33qUyXPr1mzxltvAwBABXnqqadKnq2trY3jjz8+xTQfrkePHnHwwQeXPP/888/HihUrUkwEAABUimp9jWXQoEHRqVOnkufffPPNFNMAsLkUqgEAAMog6a0CH/vYx1JKklzfvn0Tzc+YMSOlJAAAQBINDQ3xzDPPlDw/ePDg6NatW4qJNu7oo48ueXb9+vXx7LPPppgGAACoFEleY2nbtm3ssMMOKaYpXV1dXaIsf/3rXxO9wxAATUuhGgAAoAzefffdkmdra2tjl112STFNMkkLFcuWLUspCQAAkMQrr7wSCxcuLHl+0KBBKaYp//5jxoxJJwgAAFBRkrzGsvvuu0dNTeVU3pK8xtLQ0BArV65MMQ0Am6NyfnUBAACoYkm+2de3b99o1apVimmSUagGAIDqlOR26oiIfffdN6Ukpdlhhx2iS5cuJc8rVAMAQPPX0NAQ7733Xsnzu+66a4ppkvMaC0DzoVANAABQBkkK1V27dk0xSXLt27fPOgIAANAIEydOTDQ/cODAlJKUplAoJCp1T5o0KTZs2JBiIgAAIGvvv/9+rFu3ruR5r7EAkBaFagAAgDJYtGhRybOV9s21JG8RHhGx1VZbpZQEAABI4uWXXy55tm/fvhXxe/lBgwaVPLtq1ap45513UkwDAABkLcnrKxHV/xpLp06dUkoCwOZSqAYAACiDNWvWlDxbad/sW7BgQaL5SihhAABA3q1duzZef/31kueT3AydpiSF6oiIV199NaUkAABAJUjy+kpEdb/G0q5du6ivr08xDQCbQ6EaAACgDFavXl3ybKV9s++1115LNK9QDQAA2XvjjTcSvS32XnvtlWKa0u2xxx5RKBRKnleoBgCA5i3J6ysR1f0ai9dXACqbQjUAAEAZVHOh+k9/+lPJsy1atIiPfOQjKaYBAABKkfQHI7fffvuUkiTTsmXL2GabbUqe/8tf/pJiGgAAIGvVXKhesGBBvPHGGyXP9+zZM8U0AGyuuqwDAAAANAdJ3pKupqZyfrZ13rx5MXny5JLn99hjj2jVqlWKiQAAgFLMmDEj0XyPHj1SSpJcjx494t133y1pNunHCQAAVJfBgwcneved2traFNMk88wzzySa33fffVNKAkA5KFQDAACUQV1ddX55ddttt0WxWCx5ftCgQSmmAQAASjV9+vRE85VUqO7Zs2c8//zzJc0qVAMAQPNWKBSq9jWWm2++OdG811gAKlvlXIsGAABAk2poaIjrr78+0Rrf7AMAgMqQpGi85ZZbRrt27VJMk0ySt7meN29erFq1KsU0AAAAyU2fPj1Gjx6daI0bqgEqm0I1AABATv3617+OqVOnljzfsmXL2G+//VJMBAAAlCpJobqSbqeOSJ5n1qxZKSUBAABonEsvvTTRO4AOGDAgOnXqlGIiADaXQjUAAEAOLV26NM4999xEa4YNG+abfQAAUCHee++9kmcrrVCd5IbqiIi//vWvKSUBAABI7vnnn49bbrkl0Zqvfe1rKaUBoFwUqgEAAHLo7LPPjrlz5yZac/LJJ6eUBgAASKKhoSEWL15c8nzSAnPakha8Fy5cmFISAACAZFauXJm4HN2uXbsYPnx4SokAKBeFagAAgJz55S9/GTfeeGOiNf369YvBgwenlAgAAEhiyZIlid5autLeaaZDhw6J5hctWpRSEgAAgNIVi8U4+eST45VXXkm07gtf+EK0bds2pVQAlItCNQAAQI6MHTs2Ro4cmXjdhRdeGIVCIYVEAABAUkkLxltssUVKSRonaR6FagAAoBL84Ac/iF//+teJ1tTX18fZZ5+dUiIAykmhGgAAICf+8Ic/xMEHHxxr165NtG7w4MExYsSIlFIBAABJLVy4MNF8pRWqW7VqlWh+8eLF6QQBAAAo0Q9+8IM477zzEq8755xzok+fPikkAqDcFKoBAABy4LHHHotDDz00Vq5cmWhdTU1NXHvttW6nBgCACrJkyZJE80kLzGlzQzUAAFAtisViXHLJJXHuuecmXtu9e/f41re+lUIqANKgUA0AANCMNTQ0xKhRo+Izn/lMrF69OvH6kSNHxu67717+YAAAQKMlfdeZSitUJ82zYsWKlJIAAAB8uCVLlsTQoUPj4osvbtT6H/7wh9GmTZvyhgIgNXVZBwAAACAdc+bMiRNOOCFGjx7dqPUDBgyIH/zgB2VOBQAAbK5169Ylmq+0QnVtbW20aNGi5I8j6ccLAACwuSZOnBjDhw+Pt99+u1HrTz/99Bg2bFiZUwGQJjdUAwAANDMNDQ1xww03RL9+/Rpdpu7atWvcf//9FVe8AAAAkheMt9hii5SSNF6STElv5AYAAGisZcuWxf/3//1/sddeezW6TL3ffvvF1VdfXeZkAKTNDdUAAADNyJ///Of4xje+Ec8++2yjn1FXVxf33ntvdO/evYzJAACAcklaMK7EH5Rs1apVLF26tKRZN1QDAABpKxaLcc8998RZZ50Vs2bNavRzevToEXfffXe0aNGijOkAaApuqAYAAGgGZs6cGccdd1wMGDBgs8vUv/nNb+ITn/hEGdMBAADllLRg3LJly5SSNF59fX3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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "num_rows = len(events_dict_bdt[\"hh4b\"].columns)\n", - "\n", - "fig, axes = plt.subplots(num_rows, 1, figsize=(8, 4 * num_rows))\n", - "for i, col in enumerate(events_dict_bdt[\"hh4b\"].columns):\n", - " for key, events in events_dict_bdt.items():\n", - " axes[i].hist(events[col].dropna(), bins=50, alpha=0.3, density=True, label=key)\n", - " axes[i].set_title(f\"{col}\")\n", - " axes[i].set_xlabel(col)\n", - " axes[i].set_ylabel(\"Events\")\n", - " axes[i].legend(fontsize=10)\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "db83ad36-5089-4488-af17-cb64a5f919f5", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/np/80b736zs2753ch8xq6lq33d80000gq/T/ipykernel_66782/1874206586.py:9: PerformanceWarning: indexing past lexsort depth may impact performance.\n", - " events.loc['hh4b', 'target'] = 1 # Set to 1 for 'hh4b' samples (signal)\n" - ] - } - ], - "source": [ - "events = pd.concat(\n", - " [events_dict_bdt[\"hh4b\"], events_dict_bdt[\"qcd\"], events_dict_bdt[\"ttbar\"]],\n", - " keys=[\"hh4b\", \"qcd\", \"ttbar\"],\n", - ")\n", - "events[\"target\"] = 0 # Default to 0 (background)\n", - "events.loc[\"hh4b\", \"target\"] = 1 # Set to 1 for 'hh4b' samples (signal)\n", - "\n", - "# Define target\n", - "target = events[\"target\"]\n", - "\n", - "# load features into pandas df\n", - "features = events\n", - "features.drop(columns=[\"target\"], inplace=True)\n", - "\n", - "\n", - "# Splitting the dataset into training and testing sets\n", - "X_train, X_test, y_train, y_test = train_test_split(\n", - " features, target, test_size=0.2, random_state=42\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "5b13e673", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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5062128 rows × 18 columns

\n", - "
" - ], - "text/plain": [ - " HHlogPt HHeta HHmass MET H1T32 H2T32 \\\n", - "hh4b 0 4.632153 3.973541 883.957431 14.485280 0.729436 0.842821 \n", - " 1 4.349322 2.974594 673.433217 53.304462 0.865532 0.875998 \n", - " 2 4.302091 -2.962058 952.708589 77.265930 0.729148 0.871760 \n", - " 3 3.900320 3.954343 942.055753 39.738060 0.772727 0.684466 \n", - " 4 4.387641 -2.907199 883.966115 48.133133 0.648663 0.741030 \n", - "... ... ... ... ... ... ... \n", - "ttbar 417228 3.243053 3.091482 1045.050555 66.099670 0.861678 0.810172 \n", - " 417229 1.411634 -5.463628 849.381551 7.393680 0.661259 0.477389 \n", - " 417230 4.461476 3.664649 710.384170 115.861946 0.835227 0.405778 \n", - " 417231 3.906111 3.180334 962.399386 45.301205 0.910557 0.614952 \n", - " 417232 2.858197 -5.263605 755.478662 22.816124 0.827087 0.756595 \n", - "\n", - " H1Msd H1Mass H1logPt H2logPt H1eta H2eta \\\n", - "hh4b 0 143.00000 156.621094 5.999735 5.915801 2.316895 1.397949 \n", - " 1 106.43750 129.062317 5.802908 5.714735 1.069336 0.943115 \n", - " 2 117.18750 119.982849 5.912812 5.927210 -1.369385 -0.085449 \n", - " 3 124.43750 130.065674 5.885878 6.013823 1.751221 0.645508 \n", - " 4 128.00000 123.169922 6.056931 6.056183 -0.619995 -0.922729 \n", - "... ... ... ... ... ... ... \n", - "ttbar 417228 128.00000 148.737610 5.717284 5.765458 -0.812378 1.322754 \n", - " 417229 150.00000 149.805420 5.947884 5.958538 -0.596680 -0.589722 \n", - " 417230 61.84375 88.264160 5.721290 5.881342 1.716309 1.617920 \n", - " 417231 155.87500 166.596680 6.038628 6.134878 0.787109 0.482666 \n", - " 417232 139.75000 143.831543 5.819759 5.771991 -1.997314 -1.165527 \n", - "\n", - " H1_dRH2 H1_dPhiH2 H1Xbb H1Pt_HHmass H2Pt_HHmass \\\n", - "hh4b 0 3.031533 2.888898 0.994141 0.456268 0.419535 \n", - " 1 2.916045 2.913312 0.934082 0.491900 0.450384 \n", - " 2 3.211320 2.943481 0.965332 0.388098 0.393726 \n", - " 3 3.317295 -3.127594 0.992676 0.382057 0.434204 \n", - " 4 2.968341 2.952863 0.994141 0.483121 0.482760 \n", - "... ... ... ... ... ... \n", - "ttbar 417228 3.743543 3.074951 0.876953 0.290970 0.305330 \n", - " 417229 3.141365 3.141357 0.800781 0.450848 0.455677 \n", - " 417230 2.935713 2.934064 0.896973 0.429765 0.504361 \n", - " 417231 3.097499 3.082502 0.846191 0.435700 0.479721 \n", - " 417232 3.227684 -3.118665 0.878906 0.445930 0.425130 \n", - "\n", - " H1Pt/H2Pt \n", - "hh4b 0 1.087557 \n", - " 1 1.092178 \n", - " 2 0.985705 \n", - " 3 0.879902 \n", - " 4 1.000749 \n", - "... ... \n", - "ttbar 417228 0.952968 \n", - " 417229 0.989403 \n", - " 417230 0.852099 \n", - " 417231 0.908237 \n", - " 417232 1.048927 \n", - "\n", - "[5062128 rows x 18 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "features" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "906a8c6a-d227-4f63-b528-23f11ba4b0f4", - "metadata": {}, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[8], line 11\u001b[0m\n\u001b[1;32m 2\u001b[0m bdt_model \u001b[39m=\u001b[39m XGBClassifier(\n\u001b[1;32m 3\u001b[0m n_estimators\u001b[39m=\u001b[39m \u001b[39m196\u001b[39m,\n\u001b[1;32m 4\u001b[0m max_depth\u001b[39m=\u001b[39m \u001b[39m17\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7\u001b[0m random_state\u001b[39m=\u001b[39m\u001b[39m42\u001b[39m\n\u001b[1;32m 8\u001b[0m )\n\u001b[1;32m 10\u001b[0m \u001b[39m# Train the model \u001b[39;00m\n\u001b[0;32m---> 11\u001b[0m bdt_model\u001b[39m.\u001b[39;49mfit(X_train, y_train)\n\u001b[1;32m 13\u001b[0m \u001b[39m# Save the model\u001b[39;00m\n\u001b[1;32m 14\u001b[0m model_file \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mboostedBDT.json\u001b[39m\u001b[39m'\u001b[39m\n", - "File \u001b[0;32m~/miniconda3/envs/coffea/lib/python3.8/site-packages/xgboost/sklearn.py:817\u001b[0m, in \u001b[0;36mXGBClassifier.fit\u001b[0;34m(self, X, y, sample_weight, base_margin, eval_set, eval_metric, early_stopping_rounds, verbose, xgb_model, sample_weight_eval_set, callbacks)\u001b[0m\n\u001b[1;32m 812\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_features_count \u001b[39m=\u001b[39m X\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m]\n\u001b[1;32m 813\u001b[0m train_dmatrix \u001b[39m=\u001b[39m DMatrix(X, label\u001b[39m=\u001b[39mtraining_labels, weight\u001b[39m=\u001b[39msample_weight,\n\u001b[1;32m 814\u001b[0m base_margin\u001b[39m=\u001b[39mbase_margin,\n\u001b[1;32m 815\u001b[0m missing\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmissing, nthread\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mn_jobs)\n\u001b[0;32m--> 817\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_Booster \u001b[39m=\u001b[39m train(xgb_options, train_dmatrix,\n\u001b[1;32m 818\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mget_num_boosting_rounds(),\n\u001b[1;32m 819\u001b[0m evals\u001b[39m=\u001b[39;49mevals,\n\u001b[1;32m 820\u001b[0m early_stopping_rounds\u001b[39m=\u001b[39;49mearly_stopping_rounds,\n\u001b[1;32m 821\u001b[0m evals_result\u001b[39m=\u001b[39;49mevals_result, obj\u001b[39m=\u001b[39;49mobj, feval\u001b[39m=\u001b[39;49mfeval,\n\u001b[1;32m 822\u001b[0m verbose_eval\u001b[39m=\u001b[39;49mverbose, xgb_model\u001b[39m=\u001b[39;49mxgb_model,\n\u001b[1;32m 823\u001b[0m callbacks\u001b[39m=\u001b[39;49mcallbacks)\n\u001b[1;32m 825\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mobjective \u001b[39m=\u001b[39m xgb_options[\u001b[39m\"\u001b[39m\u001b[39mobjective\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[1;32m 826\u001b[0m \u001b[39mif\u001b[39;00m evals_result:\n", - "File \u001b[0;32m~/miniconda3/envs/coffea/lib/python3.8/site-packages/xgboost/training.py:205\u001b[0m, in \u001b[0;36mtrain\u001b[0;34m(params, dtrain, num_boost_round, evals, obj, feval, maximize, early_stopping_rounds, evals_result, verbose_eval, xgb_model, callbacks)\u001b[0m\n\u001b[1;32m 202\u001b[0m \u001b[39mif\u001b[39;00m evals_result \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 203\u001b[0m callbacks\u001b[39m.\u001b[39mappend(callback\u001b[39m.\u001b[39mrecord_evaluation(evals_result))\n\u001b[0;32m--> 205\u001b[0m \u001b[39mreturn\u001b[39;00m _train_internal(params, dtrain,\n\u001b[1;32m 206\u001b[0m num_boost_round\u001b[39m=\u001b[39;49mnum_boost_round,\n\u001b[1;32m 207\u001b[0m evals\u001b[39m=\u001b[39;49mevals,\n\u001b[1;32m 208\u001b[0m obj\u001b[39m=\u001b[39;49mobj, feval\u001b[39m=\u001b[39;49mfeval,\n\u001b[1;32m 209\u001b[0m xgb_model\u001b[39m=\u001b[39;49mxgb_model, callbacks\u001b[39m=\u001b[39;49mcallbacks)\n", - "File \u001b[0;32m~/miniconda3/envs/coffea/lib/python3.8/site-packages/xgboost/training.py:74\u001b[0m, in \u001b[0;36m_train_internal\u001b[0;34m(params, dtrain, num_boost_round, evals, obj, feval, xgb_model, callbacks)\u001b[0m\n\u001b[1;32m 71\u001b[0m \u001b[39m# Distributed code: need to resume to this point.\u001b[39;00m\n\u001b[1;32m 72\u001b[0m \u001b[39m# Skip the first update if it is a recovery step.\u001b[39;00m\n\u001b[1;32m 73\u001b[0m \u001b[39mif\u001b[39;00m version \u001b[39m%\u001b[39m \u001b[39m2\u001b[39m \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m---> 74\u001b[0m bst\u001b[39m.\u001b[39;49mupdate(dtrain, i, obj)\n\u001b[1;32m 75\u001b[0m bst\u001b[39m.\u001b[39msave_rabit_checkpoint()\n\u001b[1;32m 76\u001b[0m version \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n", - "File \u001b[0;32m~/miniconda3/envs/coffea/lib/python3.8/site-packages/xgboost/core.py:1246\u001b[0m, in \u001b[0;36mBooster.update\u001b[0;34m(self, dtrain, iteration, fobj)\u001b[0m\n\u001b[1;32m 1243\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_validate_features(dtrain)\n\u001b[1;32m 1245\u001b[0m \u001b[39mif\u001b[39;00m fobj \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m-> 1246\u001b[0m _check_call(_LIB\u001b[39m.\u001b[39;49mXGBoosterUpdateOneIter(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mhandle,\n\u001b[1;32m 1247\u001b[0m ctypes\u001b[39m.\u001b[39;49mc_int(iteration),\n\u001b[1;32m 1248\u001b[0m dtrain\u001b[39m.\u001b[39;49mhandle))\n\u001b[1;32m 1249\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 1250\u001b[0m pred \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpredict(dtrain, training\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n", - "\u001b[0;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "# Initialize the BDT model\n", - "bdt_model = XGBClassifier(\n", - " n_estimators=196, max_depth=17, learning_rate=0.1, subsample=0.5, random_state=42\n", - ")\n", - "\n", - "# Train the model\n", - "bdt_model.fit(X_train, y_train)\n", - "\n", - "# Save the model\n", - "model_file = \"boostedBDT.json\"\n", - "bdt_model.save_model(model_file)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96565b2d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "target: 1.000\n", - "HHmass: 0.000\n", - "H1Msd: 0.000\n", - "H1Mass: 0.000\n", - "H1Xbb: 0.000\n", - "H2logPt: 0.000\n", - "H1logPt: 0.000\n", - "HHlogPt: 0.000\n", - "HHeta: 0.000\n", - "MET: 0.000\n", - "H1T32: 0.000\n", - "H2T32: 0.000\n", - "H1eta: 0.000\n", - "H2eta: 0.000\n", - "H1_dRH2: 0.000\n", - "H1_dPhiH2: 0.000\n", - "H1Pt_HHmass: 0.000\n", - "H2Pt_HHmass: 0.000\n", - "H1Pt/H2Pt: 0.000\n" - ] - } - ], - "source": [ - "# determine importance of the features\n", - "importances = bdt_model.feature_importances_\n", - "\n", - "feature_names = events.columns\n", - "feature_importance = sorted(zip(feature_names, importances), key=lambda x: x[1], reverse=True)\n", - "\n", - "for feature in feature_importance:\n", - " print(f\"{feature[0]}: {feature[1]:.3f}\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d5a3f1a9", - "metadata": {}, - "outputs": [], - "source": [ - "# Make predictions\n", - "predictions = bdt_model.predict(X_test)\n", - "probabilities = bdt_model.predict_proba(X_test)\n", - "\n", - "# Evaluate the model\n", - "accuracy = accuracy_score(y_test, predictions)\n", - "roc_auc = roc_auc_score(y_test, predictions)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f9e7a903", - "metadata": {}, - "outputs": [], - "source": [ - "# plot scores\n", - "y_scores = bdt_model.predict_proba(X_test)[:, 1]\n", - "\n", - "fpr, tpr, thresholds = roc_curve(y_test, y_scores)\n", - "roc_auc = auc(fpr, tpr)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5a82c759", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([3.4623019e-07, 4.6394962e-07, 3.4623019e-07, ..., 4.6394962e-07,\n", - " 2.6703796e-07, 2.0559412e-07], dtype=float32)" - ] - }, - "execution_count": 86, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y_scores" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e9384dc5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plottting ROC curve\n", - "plt.figure()\n", - "plt.plot(tpr, fpr, color=\"darkorange\", lw=2, label=\"ROC curve (area = %0.2f)\" % roc_auc)\n", - "plt.xlabel(\"Signal (HH)\")\n", - "plt.ylabel(\"Background (QCD&ttbar)\")\n", - "plt.title(\"ROC\")\n", - "plt.legend(loc=\"upper left\")\n", - "plt.yscale(\"log\")\n", - "plt.savefig(f\"{MAIN_DIR}/../data/boosted-bdt/ROC_BDT.png\")\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c21d45a9-9fae-4e43-8b34-100feb411632", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:335: FutureWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n", - " if is_sparse(dtype):\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:338: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " is_categorical_dtype(dtype) or is_pa_ext_categorical_dtype(dtype)\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:384: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if is_categorical_dtype(dtype):\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:359: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " return is_int or is_bool or is_float or is_categorical_dtype(dtype)\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:335: FutureWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n", - " if is_sparse(dtype):\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:338: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " is_categorical_dtype(dtype) or is_pa_ext_categorical_dtype(dtype)\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:384: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if is_categorical_dtype(dtype):\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:359: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " return is_int or is_bool or is_float or is_categorical_dtype(dtype)\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:335: FutureWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n", - " if is_sparse(dtype):\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:338: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " is_categorical_dtype(dtype) or is_pa_ext_categorical_dtype(dtype)\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:384: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " if is_categorical_dtype(dtype):\n", - "/uscms_data/d3/dprim7/mambaforge/envs/hh4b/lib/python3.9/site-packages/xgboost/data.py:359: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n", - " return is_int or is_bool or is_float or is_categorical_dtype(dtype)\n" - ] - } - ], - "source": [ - "hh4b_scores = bdt_model.predict_proba(X_test.loc[\"hh4b\"])[:, 1]\n", - "qcd_scores = bdt_model.predict_proba(X_test.loc[\"qcd\"])[:, 1]\n", - "ttbar_scores = bdt_model.predict_proba(X_test.loc[\"ttbar\"])[:, 1]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d15a1a42-eb7e-489b-b3fa-cdba4cc35bb5", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure()\n", - "plt.hist(hh4b_scores, bins=40, histtype=\"step\", linewidth=1.5, color=\"darkblue\")\n", - "plt.hist(qcd_scores, bins=40, histtype=\"step\", linewidth=1.5, color=\"red\")\n", - "plt.hist(ttbar_scores, bins=40, histtype=\"step\", linewidth=1.5, color=\"darkgreen\")\n", - "plt.legend([\"hh4b\", \"qcd\", \"ttbar\"])\n", - "plt.ylabel(\"Frequency\")\n", - "plt.xlabel(\"Prediction Score\")\n", - "plt.title(\"Model Predictions Histogram\")\n", - "plt.yscale(\"log\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "d5574c65", - "metadata": {}, - "source": [ - "Next steps:\n", - "- Plot h1 and h2 mass before and after a BDT score cut, e.g. score > 0.8, and score > 0.9.\n", - "- Perform inference on vbfhh4b sample and vhbb sample as well and show score distribution." - ] - }, - { - "cell_type": "markdown", - "id": "f0d612aa", - "metadata": {}, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.16" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/src/HH4b/postprocessing/CreateDatacard.py b/src/HH4b/postprocessing/CreateDatacard.py index f85736c8..a7d0c3fa 100644 --- a/src/HH4b/postprocessing/CreateDatacard.py +++ b/src/HH4b/postprocessing/CreateDatacard.py @@ -74,14 +74,20 @@ parser.add_argument( "--sig-sample", default=None, type=str, help="can specify a specific signal key" ) - parser.add_argument( "--nTF", - default=1, + default=None, + nargs="*", type=int, - help="order of polynomial for TF.", + help="order of polynomial for TF in [cat 1, cat 2, cat 3]. Default is [0, 0, 1]", +) +parser.add_argument( + "--regions", + default="all", + type=str, + help="regions for which to make cards", + choices=["pass_bin1", "pass_bin2", "pass_bin3", "all"], ) -parser.add_argument("--bin-name", default="pass_bin1", type=str, help="pass bin name") parser.add_argument("--model-name", default=None, type=str, help="output model name") parser.add_argument( "--year", @@ -97,8 +103,19 @@ CMS_PARAMS_LABEL = "CMS_bbbb_hadronic" +MCB_LABEL = "MCBlinded" qcd_data_key = "qcd_datadriven" +if args.nTF is None: + if args.regions == "all": + args.nTF = [0, 0, 1] + else: + args.nTF = [0] + +if args.regions == "all": + signal_regions = ["pass_bin1", "pass_bin2", "pass_bin3"] +else: + signal_regions = [args.regions] # (name in templates, name in cards) mc_samples = OrderedDict( @@ -169,6 +186,7 @@ samples=sig_keys_ggf, value={"hh4b": 1.06, "hh4b-kl0": 1.08, "hh4b-kl2p45": 1.06, "hh4b-kl5": 1.18}, value_down={"hh4b": 0.77, "hh4b-kl0": 0.82, "hh4b-kl2p45": 0.75, "hh4b-kl5": 0.87}, + diff_samples=True, ), # apply 2022 uncertainty to all MC (until 2023 rec.) "lumi_2022": Syst(prior="lnN", samples=all_mc, value=1.014), @@ -341,8 +359,8 @@ def fill_regions( region_templates = templates_summed[region] pass_region = region.startswith("pass") - region_noblinded = region.split("MCBlinded")[0] - blind_str = "MCBlinded" if region.endswith("MCBlinded") else "" + region_noblinded = region.split(MCB_LABEL)[0] + blind_str = MCB_LABEL if region.endswith(MCB_LABEL) else "" logging.info("starting region: %s" % region) ch = rl.Channel(region.replace("_", "")) # can't have '_'s in name @@ -485,7 +503,6 @@ def fill_regions( def alphabet_fit( - pass_bin: str, model: rl.Model, shape_vars: list[ShapeVar], templates_summed: dict, @@ -495,25 +512,11 @@ def alphabet_fit( shape_var = shape_vars[0] m_obs = rl.Observable(shape_var.name, shape_var.bins) - # QCD overall pass / fail efficiency - qcd_eff = ( - templates_summed[pass_bin][qcd_key, :].sum().value - / templates_summed["fail"][qcd_key, :].sum().value - ) + ########################## + # Setup fail region first + ########################## - # transfer factor - tf_dataResidual = rl.BasisPoly( - f"{CMS_PARAMS_LABEL}_tf_dataResidual", - (shape_var.order,), - [shape_var.name], - basis="Bernstein", - limits=(-20, 20), - square_params=True, - ) - tf_dataResidual_params = tf_dataResidual(shape_var.scaled) - tf_params_pass = qcd_eff * tf_dataResidual_params # scale params initially by qcd eff - - # qcd params + # Independent nuisances to float QCD in each fail bin qcd_params = np.array( [ rl.IndependentParameter(f"{CMS_PARAMS_LABEL}_tf_dataResidual_Bin{i}", 0) @@ -521,11 +524,12 @@ def alphabet_fit( ] ) - for blind_str in ["", "MCBlinded"]: - passChName = f"{pass_bin}{blind_str}".replace("_", "") + fail_qcd_samples = {} + + for blind_str in ["", MCB_LABEL]: failChName = f"fail{blind_str}".replace("_", "") + logging.info(f"Setting up fail region {failChName}") failCh = model[failChName] - passCh = model[passChName] # sideband fail # was integer, and numpy complained about subtracting float from it @@ -561,20 +565,50 @@ def alphabet_fit( ) failCh.addSample(fail_qcd) - pass_qcd = rl.TransferFactorSample( - f"{passChName}_{CMS_PARAMS_LABEL}_qcd_datadriven", - rl.Sample.BACKGROUND, - tf_params_pass, - fail_qcd, - min_val=min_qcd_val, + fail_qcd_samples[blind_str] = fail_qcd + + ########################## + # Now do signal regions + ########################## + + for sr in signal_regions: + # QCD overall pass / fail efficiency + qcd_eff = ( + templates_summed[sr][qcd_key, :].sum().value + / templates_summed["fail"][qcd_key, :].sum().value + ) + print("qcd eff ", qcd_eff) + + # transfer factor + tf_dataResidual = rl.BasisPoly( + f"{CMS_PARAMS_LABEL}_tf_dataResidual_{sr}", + (shape_var.orders[sr],), + [shape_var.name], + basis="Bernstein", + limits=(-20, 20), + square_params=True, ) - passCh.addSample(pass_qcd) + tf_dataResidual_params = tf_dataResidual(shape_var.scaled) + tf_params_pass = qcd_eff * tf_dataResidual_params # scale params initially by qcd eff + + for blind_str in ["", MCB_LABEL]: + passChName = f"{sr}{blind_str}".replace("_", "") + passCh = model[passChName] + + pass_qcd = rl.TransferFactorSample( + f"{passChName}_{CMS_PARAMS_LABEL}_qcd_datadriven", + rl.Sample.BACKGROUND, + tf_params_pass, + fail_qcd_samples[blind_str], + min_val=min_qcd_val, + ) + passCh.addSample(pass_qcd) def createDatacardAlphabet(args, templates_dict, templates_summed, shape_vars): # (pass, fail) x (unblinded, blinded) regions: list[str] = [ - f"{pf}{blind_str}" for pf in [args.bin_name, "fail"] for blind_str in ["", "MCBlinded"] + f"{pf}{blind_str}" for pf in [*signal_regions, "fail"] for blind_str in ["", MCB_LABEL] ] # build actual fit model now @@ -596,7 +630,6 @@ def createDatacardAlphabet(args, templates_dict, templates_summed, shape_vars): ] fit_args = [ - args.bin_name, model, shape_vars, templates_summed, @@ -636,7 +669,11 @@ def main(args): # [mH(bb)] shape_vars = [ - ShapeVar(name=axis.name, bins=axis.edges, order=args.nTF) + ShapeVar( + name=axis.name, + bins=axis.edges, + orders={sr: args.nTF[i] for i, sr in enumerate(signal_regions)}, + ) for _, axis in enumerate(sample_templates.axes[1:]) ] diff --git a/src/HH4b/postprocessing/PlotFits.py b/src/HH4b/postprocessing/PlotFits.py index 2a3c8f0e..6a8c0693 100644 --- a/src/HH4b/postprocessing/PlotFits.py +++ b/src/HH4b/postprocessing/PlotFits.py @@ -20,7 +20,13 @@ ) parser.add_argument("--plots-dir", help="plots directory", type=str) parser.add_argument("--signal-scale", help="scale signal by", default=1.0, type=float) -parser.add_argument("--bin-name", default="passbin1", help="pass category", type=str) +parser.add_argument( + "--regions", + default="all", + type=str, + help="regions to plot", + choices=["passbin1", "passbin2", "passbin3", "all"], +) args = parser.parse_args() signal_scale = args.signal_scale @@ -44,10 +50,10 @@ samples = list(hist_label_map.values()) fit_shape_var = ShapeVar( - # "H2Msd", - "H2PNetMass", - # r"$m^{2}_\mathrm{SD}$ (GeV)", - r"$m^{2}_\mathrm{reg}$ (GeV)", + "H2Msd", + # "H2PNetMass", + r"$m^{2}_\mathrm{SD}$ (GeV)", + # r"$m^{2}_\mathrm{reg}$ (GeV)", [16, 60, 220], # [17, 50, 220], reg=True, @@ -63,14 +69,22 @@ selection_regions_labels = { "passbin1": "Pass Bin1", + "passbin2": "Pass Bin2", + "passbin3": "Pass Bin3", "fail": "Fail", } ylims = { "passbin1": 20, + "passbin2": 50, + "passbin3": 400, "fail": 45000, } -bins = [args.bin_name, "fail"] +if args.regions == "all": + signal_regions = ["passbin1", "passbin2", "passbin3"] +else: + signal_regions = [args.regions] +bins = [*signal_regions, "fail"] selection_regions = {key: selection_regions_labels[key] for key in bins} data_key = "data" diff --git a/src/HH4b/postprocessing/PostProcess.py b/src/HH4b/postprocessing/PostProcess.py index d2c0e1d7..1dd4a6d7 100644 --- a/src/HH4b/postprocessing/PostProcess.py +++ b/src/HH4b/postprocessing/PostProcess.py @@ -27,84 +27,48 @@ def load_run3_samples(args, year): samples_run3 = { "2022": { - # "ttbar": [ - # "TTto4Q", - # "TTtoLNu2Q", - # "TTto2L2Nu", - # ], - # "hh4b": [ - # "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV", - # ], "data": [ "JetMET_Run2022C", "JetMET_Run2022C_single", "JetMET_Run2022D", ], - # "novhhtobb": [ - # "GluGluHto2B_PT-200_M-125", - # "VBFHto2B_M-125_dipoleRecoilOn", - # ], - # "vhtobb": [ - # "WminusH_Hto2B_Wto2Q_M-125", - # "WplusH_Hto2B_Wto2Q_M-125", - # "ZH_Hto2B_Zto2Q_M-125", - # "ggZH_Hto2B_Zto2Q_M-125", - # ], - # "vbfhh4b": [ - # "VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8", - # ], - # "diboson": [ - # "WW", - # "ZZ", - # ], - # "vjets": [ - # "Wto2Q-3Jets_HT-200to400", - # "Wto2Q-3Jets_HT-400to600", - # "Wto2Q-3Jets_HT-600to800", - # "Wto2Q-3Jets_HT-800", - # "Zto2Q-4Jets_HT-200to400", - # "Zto2Q-4Jets_HT-400to600", - # "Zto2Q-4Jets_HT-600to800", - # "Zto2Q-4Jets_HT-800" - # ], - }, - "2022EE": { "ttbar": [ "TTto4Q", + ], + "ttlep": [ "TTtoLNu2Q", "TTto2L2Nu", ], - "hh4b": [ - "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV", - ], + }, + "2022EE": { "data": [ "JetMET_Run2022E", "JetMET_Run2022F", "JetMET_Run2022G", ], + "ttbar": [ + "TTto4Q", + ], + "ttlep": [ + "TTtoLNu2Q", + "TTto2L2Nu", + ], + "hh4b": [ + "GluGlutoHHto4B_kl-1p00_kt-1p00_c2-0p00_TuneCP5_13p6TeV", + ], "novhhtobb": [ "GluGluHto2B_PT-200_M-125", "VBFHto2B_M-125_dipoleRecoilOn", ], - # "qcd": [ - # "QCD_HT-200to400", - # "QCD_HT-400to600", - # "QCD_HT-600to800", - # "QCD_HT-800to1000", - # "QCD_HT-1000to1200", - # "QCD_HT-1200to1500", - # "QCD_HT-1500to2000", - # "QCD_HT-2000", - # ], "vhtobb": [ "WminusH_Hto2B_Wto2Q_M-125", "WplusH_Hto2B_Wto2Q_M-125", "ZH_Hto2B_Zto2Q_M-125", "ggZH_Hto2B_Zto2Q_M-125", ], - # "vbfhh4b": [ - # "VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8", - # ], + "vbfhh4b": [ + "VBFHHto4B_CV_1_C2V_1_C3_1_TuneCP5_13p6TeV_madgraph-pythia8", + ], "diboson": [ "WW", "ZZ", @@ -119,22 +83,47 @@ def load_run3_samples(args, year): "Zto2Q-4Jets_HT-600to800", "Zto2Q-4Jets_HT-800", ], + "qcd": [ + "QCD_HT-200to400", + "QCD_HT-400to600", + "QCD_HT-600to800", + "QCD_HT-800to1000", + "QCD_HT-1000to1200", + "QCD_HT-1200to1500", + "QCD_HT-1500to2000", + "QCD_HT-2000", + ], }, - "2023-pre-BPix": { + "2023": { "data": [ "JetMET_Run2023C", ], + "ttbar": [ + "TTto4Q", + ], + "ttlep": [ + "TTtoLNu2Q", + "TTto2L2Nu", + ], }, - "2023-BPix": { + "2023BPix": { "data": [ "JetMET_Run2023D", ], + "ttbar": [ + "TTto4Q", + ], + "ttlep": [ + "TTtoLNu2Q", + "TTto2L2Nu", + ], }, } load_columns = [ ("weight", 1), ("MET_pt", 1), + ("event", 1), ("nFatJets", 1), ("bbFatJetPt", 2), ("bbFatJetEta", 2), @@ -162,10 +151,22 @@ def load_run3_samples(args, year): # define BDT model bdt_model = xgb.XGBClassifier() - model_name = "v0_msd30" + model_name = "v1_msd30_nomulticlass" bdt_model.load_model(fname=f"../boosted/bdt_trainings_run3/{model_name}/trained_bdt.model") # get function - make_bdt_dataframe = importlib.import_module(f"{model_name}") + make_bdt_dataframe = importlib.import_module("v1_msd30") + + if year == "2023": + load_columns_year = load_columns + [ + ("AK8PFJet230_SoftDropMass40_PNetBB0p06", 1), + ("AK8PFJet250_SoftDropMass40_PFAK8ParticleNetBB0p35", 1), + ] + elif year == "2023BPix": + load_columns_year = load_columns + [("AK8PFJet230_SoftDropMass40_PNetBB0p06", 1)] + else: + load_columns_year = load_columns + [ + ("AK8PFJet250_SoftDropMass40_PFAK8ParticleNetBB0p35", 1) + ] # pre-selection events_dict = load_samples( @@ -173,9 +174,20 @@ def load_run3_samples(args, year): samples_run3[year], year, filters=filters, - columns_mc=format_columns(load_columns), + variations=False, + columns=format_columns(load_columns_year), ) + HLTs = { + "2022": ["AK8PFJet250_SoftDropMass40_PFAK8ParticleNetBB0p35"], + "2022EE": ["AK8PFJet250_SoftDropMass40_PFAK8ParticleNetBB0p35"], + "2023": [ + "AK8PFJet250_SoftDropMass40_PFAK8ParticleNetBB0p35", + "AK8PFJet230_SoftDropMass40_PNetBB0p06", + ], + "2023BPix": ["AK8PFJet230_SoftDropMass40_PNetBB0p06"], + } + # inference and assign score events_dict_postprocess = {} for key in events_dict: @@ -183,23 +195,56 @@ def load_run3_samples(args, year): bdt_score = bdt_model.predict_proba(bdt_events)[:, 1] bdt_events["bdt_score"] = bdt_score + bdt_events["H1Msd"] = events_dict[key]["bbFatJetMsd"].to_numpy()[:, 0] bdt_events["H2Msd"] = events_dict[key]["bbFatJetMsd"].to_numpy()[:, 1] bdt_events["H2Xbb"] = events_dict[key]["bbFatJetPNetXbb"].to_numpy()[:, 1] bdt_events["H2PNetMass"] = events_dict[key]["bbFatJetPNetMass"].to_numpy()[:, 1] + # add HLTs + bdt_events["hlt"] = np.any( + np.array( + [ + events_dict[key][trigger].to_numpy()[:, 0] + for trigger in HLTs[year] + if trigger in events_dict[key] + ] + ), + axis=0, + ) + # add more columns (e.g. uncertainties etc) - bdt_events["weight"] = 1 - if key != "data": - bdt_events["weight"] = events_dict[key]["weight"].to_numpy()[:, 0] + bdt_events["weight"] = events_dict[key]["finalWeight"].to_numpy() + + # add selection to testing events + bdt_events["event"] = events_dict[key]["event"].to_numpy()[:, 0] + if year == "2022EE" and key in ["qcd", "ttbar", "hh4b"]: + evt_list = np.load( + f"../boosted/bdt_trainings_run3/{model_name}/inferences/2022EE/evt_{key}.npy" + ) + bdt_events = bdt_events[bdt_events["event"].isin(evt_list)] + bdt_events["weight"] *= 1 / 0.4 + + # extra selection + bdt_events = bdt_events[bdt_events["hlt"] == 1] + bdt_events = bdt_events[bdt_events["H1Msd"] > 30] + bdt_events = bdt_events[bdt_events["H2Msd"] > 30] # define category bdt_events["Category"] = 5 # all events + mask_bin1 = (bdt_events["H2Xbb"] > 0.9) & (bdt_events["bdt_score"] > 0.97) + bdt_events.loc[mask_bin1, "Category"] = 1 + mask_corner = (bdt_events["H2Xbb"] < 0.9) & (bdt_events["bdt_score"] < 0.97) + mask_bin2 = ( + (bdt_events["H2Xbb"] > 0.8) + & (bdt_events["bdt_score"] > 0.7) + & ~(mask_bin1) + & ~(mask_corner) + ) + bdt_events.loc[mask_bin2, "Category"] = 2 + mask_bin3 = ~(mask_bin1) & ~(mask_bin2) & (bdt_events["bdt_score"] > 0.03) + bdt_events.loc[mask_bin3, "Category"] = 3 bdt_events.loc[ - (bdt_events["H2Xbb"] > 0.9) & (bdt_events["bdt_score"] > 0.93), - "Category", - ] = 1 - bdt_events.loc[ - (bdt_events["H2Xbb"] < 0.9) & (bdt_events["bdt_score"] > 0.03), + (bdt_events["H2Xbb"] < 0.8) & (bdt_events["bdt_score"] > 0.03), "Category", ] = 4 @@ -269,7 +314,7 @@ def get_nevents_signal(events, xbb_cut, bdt_cut): eff, bins_x, bins_y = h_sb.to_numpy() fig, ax = plt.subplots(1, 1, figsize=(16, 12)) - cbar = hep.hist2dplot(h_sb, ax=ax, cmin=4, cmax=9, flow="none") + cbar = hep.hist2dplot(h_sb, ax=ax, cmin=7, cmax=12, flow="none") # cbar = hep.hist2dplot(h_sb, ax=ax, cmin=3, cmax=9, flow="none") cbar.cbar.set_label(r"Fig Of Merit", size=18) cbar.cbar.ax.get_yaxis().labelpad = 15 @@ -287,6 +332,98 @@ def get_nevents_signal(events, xbb_cut, bdt_cut): ) fig.tight_layout() fig.savefig("figofmerit.png") + fig.savefig("figofmerit.pdf") + + +def scan_fom_bin2(events_combined, xbb_cut_bin1=0.9, bdt_cut_bin1=0.97): + """ + Scan figure of merit for bin2 + """ + + def get_nevents_data(events, xbb_cut, bdt_cut): + cut_bin1 = (events["H2Xbb"] > xbb_cut_bin1) & (events["bdt_score"] > bdt_cut_bin1) + cut_corner = (events["H2Xbb"] < xbb_cut_bin1) & (events["bdt_score"] < bdt_cut_bin1) + cut_bin2 = ( + (events["H2Xbb"] > xbb_cut) + & (events["bdt_score"] > bdt_cut) + & ~(cut_bin1) + & ~(cut_corner) + ) + cut_msd = (events["H2Msd"] > 50) & (events["H2Msd"] < 220) + + # get yield between 75-95 + cut_msd_0 = (events["H2Msd"] < 95) & (events["H2Msd"] > 75) + + # get yield between 135-155 + cut_msd_1 = (events["H2Msd"] < 155) & (events["H2Msd"] > 135) + + return np.sum(cut_msd_0 & cut_bin2 & cut_msd) + np.sum(cut_msd_1 & cut_bin2 & cut_msd) + + def get_nevents_signal(events, xbb_cut, bdt_cut): + cut_bin1 = (events["H2Xbb"] > xbb_cut_bin1) & (events["bdt_score"] > bdt_cut_bin1) + cut_corner = (events["H2Xbb"] < xbb_cut_bin1) & (events["bdt_score"] < bdt_cut_bin1) + cut_bin2 = ( + (events["H2Xbb"] > xbb_cut) + & (events["bdt_score"] > bdt_cut) + & ~(cut_bin1) + & ~(cut_corner) + ) + cut_msd = (events["H2Msd"] > 95) & (events["H2Msd"] < 135) + + # get yield between 95 and 135 + return np.sum(events["weight"][cut_bin2 & cut_msd]) + + xbb_cuts = np.arange(0.7, 0.86, 0.02) + bdt_cuts = np.arange(0.65, 0.85, 0.01) + h_sb = hist.Hist( + hist.axis.Variable(bdt_cuts, name="bdt_cut"), + hist.axis.Variable(xbb_cuts, name="xbb_cut"), + ) + for xbb_cut in xbb_cuts: + figure_of_merits = [] + cuts = [] + for bdt_cut in bdt_cuts: + nevents_data = get_nevents_data(events_combined["data"], xbb_cut, bdt_cut) + nevents_signal = get_nevents_signal(events_combined["hh4b"], xbb_cut, bdt_cut) + + figure_of_merit = 2 * np.sqrt(nevents_data) / nevents_signal + + if nevents_signal > 0.5: + cuts.append(bdt_cut) + figure_of_merits.append(figure_of_merit) + # print( + # f"Xbb_Cut: {xbb_cut}, BDT_Cut: {bdt_cut:.2f}, NBkg: {nevents_data}, NSig: {nevents_signal:.2f}, FigOfMerit: {figure_of_merit:.2f}" + # ) + h_sb.fill(bdt_cut, xbb_cut, weight=figure_of_merit) + + if len(cuts) > 0: + cuts = np.array(cuts) + figure_of_merits = np.array(figure_of_merits) + smallest = np.argmin(figure_of_merits) + + print(xbb_cut, cuts[smallest], figure_of_merits[smallest]) + + eff, bins_x, bins_y = h_sb.to_numpy() + fig, ax = plt.subplots(1, 1, figsize=(16, 12)) + cbar = hep.hist2dplot(h_sb, ax=ax, cmin=18, cmax=25, flow="none") + # cbar = hep.hist2dplot(h_sb, ax=ax, cmin=3, cmax=9, flow="none") + cbar.cbar.set_label(r"Fig Of Merit", size=18) + cbar.cbar.ax.get_yaxis().labelpad = 15 + for i in range(len(bins_x) - 1): + for j in range(len(bins_y) - 1): + if eff[i, j] > 0: + ax.text( + (bins_x[i] + bins_x[i + 1]) / 2, + (bins_y[j] + bins_y[j + 1]) / 2, + eff[i, j].round(2), + color="black", + ha="center", + va="center", + fontsize=10, + ) + fig.tight_layout() + fig.savefig("figofmerit_bin2.png") + fig.savefig("figofmerit_bin2.pdf") def scan_sb(events_combined): @@ -354,6 +491,7 @@ def get_nevents_signal(events, xbb_cut, bdt_cut): ) fig.tight_layout() fig.savefig("s_over_b.png") + fig.savefig("s_over_b.pdf") def postprocess_run3(args): @@ -364,6 +502,18 @@ def postprocess_run3(args): }, label="Bin1", ), + "pass_bin2": Region( + cuts={ + "Category": [2, 3], + }, + label="Bin2", + ), + "pass_bin3": Region( + cuts={ + "Category": [3, 4], + }, + label="Bin3", + ), "fail": Region( cuts={ "Category": [4, 5], @@ -376,6 +526,7 @@ def postprocess_run3(args): "H2Msd": r"$m^{2}_\mathrm{SD}$ (GeV)", "H2PNetMass": r"$m^{2}_\mathrm{reg}$ (GeV)", } + window_by_mass = {"H2Msd": [110, 140], "H2PNetMass": [115, 145]} # variable to fit fit_shape_var = ShapeVar( @@ -383,7 +534,7 @@ def postprocess_run3(args): label_by_mass[args.mass], [16, 60, 220], reg=True, - blind_window=[110, 140], + blind_window=window_by_mass[args.mass], ) # load samples @@ -396,22 +547,24 @@ def postprocess_run3(args): # temporarily used 2022EEMC and scale to full luminosity lumi_weight_2022EEtoall = (7971.4 + 26337.0 + 17650.0 + 9451.0) / 26337.0 events_combined = {} - for key in ["data", "hh4b", "ttbar", "vhtobb", "vjets", "diboson", "novhhtobb"]: - if key == "data": + for key in ["data", "qcd", "hh4b", "ttbar", "ttlep", "vhtobb", "vjets", "diboson", "novhhtobb"]: + if key in ["data", "ttbar", "ttlep"]: combined = pd.concat( [ events_dict_postprocess["2022"][key], events_dict_postprocess["2022EE"][key], - events_dict_postprocess["2023-pre-BPix"][key], - events_dict_postprocess["2023-BPix"][key], + events_dict_postprocess["2023"][key], + events_dict_postprocess["2023BPix"][key], ] ) else: combined = events_dict_postprocess["2022EE"][key].copy() combined["weight"] = combined["weight"] * lumi_weight_2022EEtoall events_combined[key] = combined + events_combined["ttbar"] = pd.concat([events_combined["ttbar"], events_combined["ttlep"]]) scan_fom(events_combined) + scan_fom_bin2(events_combined, xbb_cut_bin1=0.9, bdt_cut_bin1=0.97) scan_sb(events_combined) templ_dir = f"./templates/{args.template_dir}" @@ -419,7 +572,7 @@ def postprocess_run3(args): os.system(f"mkdir -p {templ_dir}/cutflows/{year}") os.system(f"mkdir -p {templ_dir}/{year}") - bkg_keys = ["ttbar", "vhtobb", "vjets", "diboson", "novhhtobb"] + bkg_keys = ["qcd", "ttbar", "vhtobb", "vjets", "diboson", "novhhtobb"] print(events_combined["data"].columns) @@ -461,7 +614,7 @@ def postprocess_run3(args): parser.add_argument( "--years", type=str, - default="2022,2022EE,2023-pre-BPix,2023-BPix", + default="2022,2022EE,2023,2023BPix", help="years to postprocess", ) parser.add_argument( diff --git a/src/HH4b/postprocessing/datacardHelpers.py b/src/HH4b/postprocessing/datacardHelpers.py index 09b6df80..991f41aa 100644 --- a/src/HH4b/postprocessing/datacardHelpers.py +++ b/src/HH4b/postprocessing/datacardHelpers.py @@ -48,7 +48,7 @@ class ShapeVar: name: str = None bins: np.ndarray = None # bin edges - order: int = None # TF order + orders: dict = None # TF order: dict of categories -> order def __post_init__(self): # use bin centers for polynomial fit diff --git a/src/HH4b/utils.py b/src/HH4b/utils.py index 1feb8d60..1f50a7b8 100644 --- a/src/HH4b/utils.py +++ b/src/HH4b/utils.py @@ -116,7 +116,10 @@ def get_cutflow(pickles_path, year, sample_name): file_name = out_pickles[0] with Path(f"{pickles_path}/{file_name}").open("rb") as file: - out_dict = pickle.load(file) + try: + out_dict = pickle.load(file) + except RuntimeError: + print(f"Problem opening {pickles_path}/{file_name}") cutflow = out_dict[year][sample_name]["cutflow"] # index by year, then sample name for file_name in out_pickles[1:]: @@ -136,12 +139,18 @@ def get_nevents(pickles_path, year, sample_name): file_name = out_pickles[0] with Path(f"{pickles_path}/{file_name}").open("rb") as file: - out_dict = pickle.load(file) + try: + out_dict = pickle.load(file) + except EOFError: + print(f"Problem opening {pickles_path}/{file_name}") nevents = out_dict[year][sample_name]["nevents"] # index by year, then sample name for file_name in out_pickles[1:]: with Path(f"{pickles_path}/{file_name}").open("rb") as file: - out_dict = pickle.load(file) + try: + out_dict = pickle.load(file) + except EOFError: + print(f"Problem opening {pickles_path}/{file_name}") nevents += out_dict[year][sample_name]["nevents"] return nevents @@ -161,10 +170,12 @@ def get_pickles(pickles_path, year, sample_name): out = out[sample_name] for file_name in out_pickles[1:]: - with Path(f"{pickles_path}/{file_name}").open("rb") as file: - out_dict = pickle.load(file)[year][sample_name] - out = accumulate([out, out_dict]) - + try: + with Path(f"{pickles_path}/{file_name}").open("rb") as file: + out_dict = pickle.load(file)[year][sample_name] + out = accumulate([out, out_dict]) + except: + warnings.warn(f"Not able to open file {pickles_path}/{file_name}", stacklevel=1) return out @@ -247,6 +258,7 @@ def load_samples( columns: list = None, variations: bool = True, weight_shifts: dict[str, Syst] = None, + # select_testing: bool = False, ) -> dict[str, pd.DataFrame]: """ Loads events with an optional filter. @@ -294,16 +306,37 @@ def load_samples( warnings.warn(f"No events for {sample}!", stacklevel=1) continue + """ + # select events if in testing + if select_testing: + if year == "2022EE" and label in ["qcd", "ttbar", "hh4b"]: + # hard code + print(events["weight"]) + evt_list = np.load(f"bdt_trainings_run3/v1_msd30/inferences/2022EE/evt_{label}.npy") + events_tmp = events[["event"]].droplevel(1, axis=1) + events_tmp = events_tmp[events_tmp.event.isin(evt_list)] + events = events[events.index.isin(events_tmp.index)] + """ + # normalize by total events - totals = get_pickles(pickles_path, year, sample)["totals"] - _normalize_weights( - events, - totals, - sample, - isData=label == data_key, - variations=variations, - weight_shifts=weight_shifts, - ) + pickles = get_pickles(pickles_path, year, sample) + if "totals" in pickles: + totals = pickles["totals"] + _normalize_weights( + events, + totals, + sample, + isData=label == data_key, + variations=variations, + weight_shifts=weight_shifts, + ) + else: + if label == data_key: + events["finalWeight"] = events["weight"] + else: + n_events = get_nevents(pickles_path, year, sample) + events["weight_nonorm"] = events["weight"] + events["finalWeight"] = events["weight"] / n_events events_dict[label].append(events) print(f"Loaded {sample: <50}: {len(events)} entries") @@ -453,6 +486,7 @@ def singleVarHist( weight_key: str = "finalWeight", selection: dict | None = None, sf: list[str] | None = None, + apply_tt_sf: bool = False, ) -> Hist: """ Makes and fills a histogram for variable `var` using data in the `events` dict. @@ -493,7 +527,7 @@ def singleVarHist( fill_data[var] = fill_data[var][sel] weight = weight[sel] - if sf is not None and sample == "ttbar": + if sf is not None and sample == "ttbar" and apply_tt_sf: weight = weight * tau32FittedSF_4(events) if len(fill_data[var]):