diff --git a/src/HHbbVV/postprocessing/PostProcessRes.ipynb b/src/HHbbVV/postprocessing/PostProcessRes.ipynb index 28889406..2824495e 100644 --- a/src/HHbbVV/postprocessing/PostProcessRes.ipynb +++ b/src/HHbbVV/postprocessing/PostProcessRes.ipynb @@ -150,10 +150,19 @@ "metadata": {}, "outputs": [], "source": [ - "events = pd.read_parquet(f\"{sig_samples_dir}/{year}/GluGluToHHTobbVV_node_cHHH1/parquet\")\n", + "events = pd.read_parquet(f\"{samples_dir}/{year}/GluGluToHHTobbVV_node_cHHH1/parquet\")\n", "events" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "list(events.columns)" + ] + }, { "attachments": {}, "cell_type": "markdown", diff --git a/src/HHbbVV/postprocessing/TrainBDT.py b/src/HHbbVV/postprocessing/TrainBDT.py index 182582e1..33a4ebca 100644 --- a/src/HHbbVV/postprocessing/TrainBDT.py +++ b/src/HHbbVV/postprocessing/TrainBDT.py @@ -677,15 +677,22 @@ def do_inference( type=int, ) + """ + Varying between 0.01 - 1 showed no significant difference + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_lr_0.01/ + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_nestimators_10000/ + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_lr_1/ + """ parser.add_argument("--learning-rate", default=0.1, help="learning rate", type=float) """ - hyperparam optimizations show max depth 3 or 4 is optimal: - https://hhbbvv.nrp-nautilus.io/bdt/23_11_02_rem_feats_3_min_delta_0.0005_max_depth_3/ - https://hhbbvv.nrp-nautilus.io/bdt/23_11_02_rem_feats_3_min_delta_0.0005_max_depth_4/ - https://hhbbvv.nrp-nautilus.io/bdt/23_11_02_rem_feats_3_min_delta_0.0005_max_depth_5/ + hyperparam optimizations show max depth 5 is optimal: + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_nestimators_10000/ + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_max_depth_4/ + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_max_depth_5/ + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_max_depth_6/ unclear if gain from 4 is enough to justify increasing complexity """ - parser.add_argument("--max-depth", default=3, help="max depth of each tree", type=int) + parser.add_argument("--max-depth", default=5, help="max depth of each tree", type=int) """ hyperparam optimizations show min child weight has ~no effect https://hhbbvv.nrp-nautilus.io/bdt/23_05_10_multiclass_max_depth_3_min_child_1_n_1000/ @@ -697,15 +704,17 @@ def do_inference( help="minimum weight required to keep splitting (higher is more conservative)", type=float, ) - """ - this just needs to be higher than the # rounds needed for early-stopping to kick in - """ + # This just needs to be higher than the # rounds needed for early-stopping to kick in parser.add_argument( - "--n-estimators", default=1000, help="max number of trees to keep adding", type=int + "--n-estimators", default=1 - 000, help="max number of trees to keep adding", type=int ) parser.add_argument("--rem-feats", default=0, help="remove N lowest importance feats", type=int) + """ + Slightly worse to use a single tagger score + https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_single_tagger_var + """ add_bool_arg( parser, "all-tagger-vars", "Use all tagger outputs vs. single THWWvsT score", default=True ) @@ -731,6 +740,10 @@ def do_inference( parser.add_argument( "--early-stopping-rounds", default=5, help="early stopping rounds", type=int ) + """ + Increasing this consistently decreased performance + e.g. https://hhbbvv.nrp-nautilus.io/bdt/24_03_07_new_samples_min_delta_0.0001/ + """ parser.add_argument( "--early-stopping-min-delta", default=0.0, diff --git a/src/HHbbVV/postprocessing/bash_scripts/ControlPlots.sh b/src/HHbbVV/postprocessing/bash_scripts/ControlPlots.sh index ce972b08..8c049254 100755 --- a/src/HHbbVV/postprocessing/bash_scripts/ControlPlots.sh +++ b/src/HHbbVV/postprocessing/bash_scripts/ControlPlots.sh @@ -17,8 +17,7 @@ MAIN_DIR="../../.." TAG="" resonant="--resonant" -# samples="HHbbVV VBFHHbbVV NMSSM_XToYHTo2W2BTo4Q2B_MX-900_MY-80 NMSSM_XToYHTo2W2BTo4Q2B_MX-1200_MY-190 NMSSM_XToYHTo2W2BTo4Q2B_MX-2000_MY-125 NMSSM_XToYHTo2W2BTo4Q2B_MX-3000_MY-250 NMSSM_XToYHTo2W2BTo4Q2B_MX-4000_MY-150" -samples="HHbbVV VBFHHbbVV NMSSM_XToYHTo2W2BTo4Q2B_MX-900_MY-80" +samples="HHbbVV VBFHHbbVV NMSSM_XToYHTo2W2BTo4Q2B_MX-900_MY-80 NMSSM_XToYHTo2W2BTo4Q2B_MX-1200_MY-190 NMSSM_XToYHTo2W2BTo4Q2B_MX-2000_MY-125 NMSSM_XToYHTo2W2BTo4Q2B_MX-3000_MY-250 NMSSM_XToYHTo2W2BTo4Q2B_MX-4000_MY-150" hem2d="--HEM2d" options=$(getopt -o "" --long "nonresonant,nohem2d,tag:" -- "$@") @@ -28,7 +27,7 @@ while true; do case "$1" in --nonresonant) resonant="" - samples="HHbbVV qqHH_CV_1_C2V_1_kl_1_HHbbVV" + samples="HHbbVV VBFHHbbVV" ;; --nohem2d) hem2d="" diff --git a/src/HHbbVV/postprocessing/bash_scripts/NonresTemplates.sh b/src/HHbbVV/postprocessing/bash_scripts/NonresTemplates.sh new file mode 100755 index 00000000..c97cf788 --- /dev/null +++ b/src/HHbbVV/postprocessing/bash_scripts/NonresTemplates.sh @@ -0,0 +1,51 @@ +#!/bin/bash +# shellcheck disable=SC2086,SC2043 + +#################################################################################################### +# Script for creating nonresonant templates + BDT score control plots +# Author: Raghav Kansal +#################################################################################################### + +MAIN_DIR="../../.." +data_dir="$MAIN_DIR/../data/skimmer/24Mar6AllYearsBDTVars" +TAG="" + + +options=$(getopt -o "" --long "tag:" -- "$@") +eval set -- "$options" + +while true; do + case "$1" in + --tag) + shift + TAG=$1 + ;; + --) + shift + break;; + \?) + echo "Invalid option: -$OPTARG" >&2 + exit 1 + ;; + :) + echo "Option -$OPTARG requires an argument." >&2 + exit 1 + ;; + esac + shift +done + +if [[ -z $TAG ]]; then + echo "Tag required using the --tag option. Exiting" + exit 1 +fi + +# for year in 2016APV 2016 2017 2018 +for year in 2016APV +do + python -u postprocessing.py --year $year --data-dir "$data_dir" --templates \ + --bdt-preds-dir "$MAIN_DIR/../data/skimmer/24Mar6AllYearsBDTVars/24_03_07_new_samples_max_depth_5/inferences" \ + --control-plots --control-plot-vars "BDTScore" \ + --plot-dir "${MAIN_DIR}/plots/PostProcessing/$TAG" \ + --template-dir "templates/$TAG" --plot-shifts +done diff --git a/src/HHbbVV/postprocessing/postprocessing.py b/src/HHbbVV/postprocessing/postprocessing.py index 6820567c..1585a6b7 100644 --- a/src/HHbbVV/postprocessing/postprocessing.py +++ b/src/HHbbVV/postprocessing/postprocessing.py @@ -405,9 +405,9 @@ def main(args): derive_variables( events_dict, bb_masks, - nonres_vars=not args.resonant or args.control_plots, + nonres_vars=args.vbf or args.control_plots, vbf_vars=args.vbf, - do_jshifts=args.templates, # only need shifts if making templates + do_jshifts=False, # only need shifts for BDT pre-processing ) # args has attr if --control-plots arg was set @@ -440,16 +440,27 @@ def main(args): plot_vars.remove(var) print("Plotting: ", [var.var for var in plot_vars]) + if args.resonant: + p_sig_keys = sig_keys + sig_scale_dict = {"HHbbVV": 1e5, "VBFHHbbVV": 2e6} | {key: 2e4 for key in res_sig_keys} + else: + p_sig_keys = plot_sig_keys_nonres + sig_scale_dict = { + "HHbbVV": 1e5, + "VBFHHbbVV": 2e5, + "qqHH_CV_1_C2V_0_kl_1_HHbbVV": 2e3, + "qqHH_CV_1_C2V_2_kl_1_HHbbVV": 2e3, + } control_plots( events_dict, bb_masks, - sig_keys, + p_sig_keys, plot_vars, args.control_plots_dir, args.year, bg_keys=args.bg_keys, - sig_scale_dict={"HHbbVV": 1e5, "VBFHHbbVV": 2e6} | {key: 2e4 for key in res_sig_keys}, + sig_scale_dict=sig_scale_dict, # sig_splits=sig_splits, HEM2d=args.HEM2d, same_ylim=args.mass_plots, @@ -464,6 +475,11 @@ def main(args): ) if args.templates: + if args.resonant: + sig_scale_dict = None + else: + sig_scale_dict = {key: 10 for key in plot_sig_keys_nonres} + for wps in scan_wps: # if not scanning, this will just be a single WP cutstr = "_".join([f"{cut}_{wp}" for cut, wp in zip(scan_cuts, wps)]) if scan else "" template_dir = args.template_dir / cutstr / args.templates_name @@ -503,7 +519,7 @@ def main(args): for jshift in jshifts: print(jshift) plot_dir = ( - args.templates_plots_dir / cutstr / f"{'jshifts/' if jshift != '' else ''}" + args.templates_plots_dir / cutstr / f"{'jshifts' if jshift != '' else ''}" if args.plot_dir != "" else "" ) @@ -521,6 +537,7 @@ def main(args): plot_dir=plot_dir, prev_cutflow=cutflow, # sig_splits=sig_splits, + sig_scale_dict=sig_scale_dict, weight_shifts=weight_shifts, jshift=jshift, blind_pass=bool(args.resonant), @@ -796,9 +813,6 @@ def _make_dirs(args, scan, scan_cuts, scan_wps): parents=True, exist_ok=True ) - if args.bdt_preds_dir != "" and args.bdt_preds_dir is not None: - args.bdt_preds_dir = Path(args.bdt_preds_dir) - def _normalize_weights( events: pd.DataFrame, totals: dict, sample: str, isData: bool, variations: bool = True @@ -2048,6 +2062,9 @@ def parse_args(): if not args.signal_data_dirs: args.signal_data_dirs = [args.data_dir] + if args.bdt_preds_dir != "" and args.bdt_preds_dir is not None: + args.bdt_preds_dir = Path(args.bdt_preds_dir) + if args.bdt_preds_dir == "" and not args.resonant: args.bdt_preds_dir = f"{args.data_dir}/inferences/" elif args.resonant: diff --git a/src/HHbbVV/postprocessing/templates/24Mar8NewTemplates/cutflows/2016APV/fail_cutflow.csv b/src/HHbbVV/postprocessing/templates/24Mar8NewTemplates/cutflows/2016APV/fail_cutflow.csv new file mode 100644 index 00000000..18f2c8e8 --- /dev/null +++ b/src/HHbbVV/postprocessing/templates/24Mar8NewTemplates/cutflows/2016APV/fail_cutflow.csv @@ -0,0 +1,25 @@ +,Pre-selection,QCD SF,LP SF,bbFatJetPt >= 300,VVFatJetPt >= 300,0.8 ≤ bbFatJetParticleNetMD_Txbb < 0.9737 +HHbbVV,1.108127280079604,1.108127280079604,1.108127280079604,1.1005594143174928,1.0940812392241102,0.3689082675908363 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b/src/HHbbVV/postprocessing/templates/24Mar8NewTemplates/cutflows/2016APV/fail_cutflow_JER_down.csv new file mode 100644 index 00000000..745c5e50 --- /dev/null +++ b/src/HHbbVV/postprocessing/templates/24Mar8NewTemplates/cutflows/2016APV/fail_cutflow_JER_down.csv @@ -0,0 +1,25 @@ +,Pre-selection,QCD SF,LP SF,bbFatJetPt_JER_down >= 300,VVFatJetPt_JER_down >= 300,0.8 ≤ bbFatJetParticleNetMD_Txbb < 0.9737,bbFatJetPt >= 300,VVFatJetPt >= 300 +HHbbVV,1.108127280079604,1.108127280079604,1.108127280079604,1.1007654125568072,1.0943466848718584,0.3689838386278276,, +ggHH_kl_2p45_kt_1_HHbbVV,0.8015758690220187,0.8015758690220187,0.8015758690220187,0.7966839978476782,0.7929702737652506,0.27643350911904124,, +ggHH_kl_5_kt_1_HHbbVV,0.8397792227107982,0.8397792227107982,0.8397792227107982,0.834916579637446,0.8313931208750229,0.3735844185203877,, +ggHH_kl_0_kt_1_HHbbVV,1.4337517442784347,1.4337517442784347,1.4337517442784347,1.422734538030712,1.413057483248668,0.48502545101830774,, 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b/src/HHbbVV/postprocessing/templates/24Mar8NewTemplates/cutflows/2016APV/fail_cutflow_JES_up.csv new file mode 100644 index 00000000..13d0d8d1 --- /dev/null +++ b/src/HHbbVV/postprocessing/templates/24Mar8NewTemplates/cutflows/2016APV/fail_cutflow_JES_up.csv @@ -0,0 +1,25 @@ +,Pre-selection,QCD SF,LP SF,bbFatJetPt_JES_up >= 300,VVFatJetPt_JES_up >= 300,0.8 ≤ bbFatJetParticleNetMD_Txbb < 0.9737,bbFatJetPt >= 300,VVFatJetPt >= 300 +HHbbVV,1.108127280079604,1.108127280079604,1.108127280079604,1.1081035713714382,1.1080653903338389,0.3744368182454417,, +ggHH_kl_2p45_kt_1_HHbbVV,0.8015758690220187,0.8015758690220187,0.8015758690220187,0.8015742076520919,0.8015566517004539,0.2798795517586103,, +ggHH_kl_5_kt_1_HHbbVV,0.8397792227107982,0.8397792227107982,0.8397792227107982,0.8397405576613581,0.8397405576613581,0.3782650709283245,, +ggHH_kl_0_kt_1_HHbbVV,1.4337517442784347,1.4337517442784347,1.4337517442784347,1.4337099666557058,1.4336942879626964,0.4929500917115567,, 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