From e570446b7c7d0067a730cb8596671424cd90c7aa Mon Sep 17 00:00:00 2001 From: "Ming-Yan, Lee" Date: Wed, 11 Oct 2023 11:00:28 +0200 Subject: [PATCH 1/4] feat: add new dataset files & improvements on scripts (#72) * feat: add new dataset files & improvements on scripts - [x] All commits checked out well. - [x] The new dataset jsons are well added. - [x] Merged to the main branch. **Missing items:** 1. Xsections to be added later for the missing samles. 2. PU systematics are not included, to be provided by LUM-POG. Summary of commits: - metadata : add Summer22 & Summer22EE PFNano jsons - plot: split MC by samples is possible in data/MC comparison - plot: fix kFactor info - fetch: find sites from dasgoclient, black/white sitelists - example: improve example with dedicated output of hists - utils/selection: add ID back for electron - utils/correction: change jetveto map - add ele/mu SFs for Summer22/Summer22EE campaign, adapt corrections to framework - wf: fix issues for genjet idx - doc: update recommendation - metadata: rename file lists --- README.md | 23 +- ...EE_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json | 13115 +++++++ ...2EE_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json | 5594 +++ ...E_Run3_2022_qcdmu_BTV_Comm_v2_NanoV12.json | 11218 ++++++ ...22_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json | 5420 +++ ...r22_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json | 2484 ++ ...2_Run3_2022_qcdmu_BTV_Comm_v2_NanoV12.json | 3729 ++ ..._Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json | 1672 + ..._Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json | 1625 + ...Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json | 1640 + ..._Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json | 1676 + ...Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json | 1679 + ..._Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json | 771 + ..._Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json | 748 + ...Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json | 670 + ..._Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json | 846 + ...Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json | 909 + metadata/test_bta_run3.json | 5 +- runner.py | 1 - scripts/fetch.py | 152 +- scripts/plotdataMC.py | 327 +- .../data/JME/Summer22Run3/jec_compiled.pkl.gz | Bin 0 -> 37 bytes ...Z_Run2022EE_Prompt_abseta_pT_schemaV2.json | 22461 ++++++++++++ ...Muons_Z_2022EE_Prompt_ID_ISO_schemaV2.json | 29243 ++++++++++++++++ .../data/LSF/Summer22EERun3/electron.json.gz | Bin 0 -> 14790 bytes ...n_Z_Run2022_Prompt_abseta_pT_schemaV2.json | 22461 ++++++++++++ ...erMuons_Z_2022_Prompt_ID_ISO_schemaV2.json | 29243 ++++++++++++++++ src/BTVNanoCommissioning/helpers/xs_scaler.py | 5 +- src/BTVNanoCommissioning/helpers/xsection.py | 2 +- .../utils/AK4_parameters.py | 19 +- src/BTVNanoCommissioning/utils/correction.py | 418 +- .../utils/histogrammer.py | 16 +- src/BTVNanoCommissioning/utils/plot_utils.py | 115 +- src/BTVNanoCommissioning/utils/selection.py | 27 +- .../workflows/BTA_producer.py | 8 +- .../workflows/BTA_ttbar_producer.py | 8 +- .../workflows/__init__.py | 8 +- src/BTVNanoCommissioning/workflows/example.py | 44 +- 38 files changed, 158060 insertions(+), 322 deletions(-) create mode 100644 metadata/MC_Summer22EE_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 metadata/MC_Summer22EE_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/MC_Summer22EE_Run3_2022_qcdmu_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/MC_Summer22_Run3_2022_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 metadata/MC_Summer22_Run3_2022_qcd_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/MC_Summer22_Run3_2022_qcdmu_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/data_Summer22EE_Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/data_Summer22EE_Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 metadata/data_Summer22EE_Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 metadata/data_Summer22EE_Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/data_Summer22EE_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 metadata/data_Summer22_Run3_2022_btagmu_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/data_Summer22_Run3_2022_e_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 metadata/data_Summer22_Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 metadata/data_Summer22_Run3_2022_jetmet_BTV_Comm_v2_NanoV12.json create mode 100644 metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json create mode 100644 src/BTVNanoCommissioning/data/JME/Summer22Run3/jec_compiled.pkl.gz create mode 100644 src/BTVNanoCommissioning/data/LSF/Summer22EERun3/ScaleFactors_Muon_Z_Run2022EE_Prompt_abseta_pT_schemaV2.json create mode 100644 src/BTVNanoCommissioning/data/LSF/Summer22EERun3/ScaleFactors_Muon_trackerMuons_Z_2022EE_Prompt_ID_ISO_schemaV2.json create mode 100644 src/BTVNanoCommissioning/data/LSF/Summer22EERun3/electron.json.gz create mode 100644 src/BTVNanoCommissioning/data/LSF/Summer22Run3/ScaleFactors_Muon_Z_Run2022_Prompt_abseta_pT_schemaV2.json create mode 100644 src/BTVNanoCommissioning/data/LSF/Summer22Run3/ScaleFactors_Muon_trackerMuons_Z_2022_Prompt_ID_ISO_schemaV2.json diff --git a/README.md b/README.md index 57ca10a7..eff334aa 100644 --- a/README.md +++ b/README.md @@ -145,13 +145,13 @@ After a small test, you can run the full campaign for a dedicated phase space, s - Dileptonic ttbar phase space : check performance for btag SFs, emu channel ``` - python runner.py --workflow ttdilep_sf --json metadata/data_Summer22_emu_BTV_Run3_2022_Comm_v1.json --campaign Summer22Run3 --year 2022 (--executor ${scaleout_site}) + python runner.py --workflow ttdilep_sf --json metadata/data_Summer22_Run3_2022_em_BTV_Comm_v2_NanoV12_noPF.json --campaign Summer22Run3 --year 2022 (--executor ${scaleout_site}) ``` - Semileptonic ttbar phase space : check performance for btag SFs, muon channel ``` -python runner.py --workflow ttsemilep_sf --json metadata/data_Summer22_mu_BTV_Run3_2022_Comm_v1.json --campaign Summer22Run3 --year 2022 (--executor ${scaleout_site}) +python runner.py --workflow ttsemilep_sf --json metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json --campaign Summer22Run3 --year 2022 (--executor ${scaleout_site}) ```

@@ -164,26 +164,26 @@ python runner.py --workflow ttsemilep_sf --json metadata/data_Summer22_mu_BTV_Ru - Dileptonic ttbar phase space : check performance for charm SFs, bjets enriched SFs, muon channel ``` -python runner.py --workflow ctag_ttdilep_sf --json metadata/data_Summer22_mumu_BTV_Run3_2022_Comm_v1.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) +python runner.py --workflow ctag_ttdilep_sf --json metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) ``` - Semileptonic ttbar phase space : check performance for charm SFs, bjets enriched SFs, muon channel ``` -python runner.py --workflow ctag_ttsemilep_sf --json metadata/data_Summer22_mu_BTV_Run3_2022_Comm_v1.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) +python runner.py --workflow ctag_ttsemilep_sf --json metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) ``` - W+c phase space : check performance for charm SFs, cjets enriched SFs, muon channel ``` -python runner.py --workflow ctag_Wc_sf --json metadata/data_Summer22_mu_BTV_Run3_2022_Comm_v1.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) +python runner.py --workflow ctag_Wc_sf --json metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) ``` - DY phase space : check performance for charm SFs, light jets enriched SFs, muon channel ``` -python runner.py --workflow ctag_DY_sf --json metadata/data_Summer22_mumu_BTV_Run3_2022_Comm_v1.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) +python runner.py --workflow ctag_DY_sf --json metadata/data_Summer22_Run3_2022_mu_BTV_Comm_v2_NanoV12_noPF.json --campaign Summer22Run3 --year 2022(--executor ${scaleout_site}) ```

@@ -338,6 +338,8 @@ After executing the command, a new folder will be created, preparing the submiss Use `fetch.py` in folder `scripts/` to obtain your samples json files. You can create `$input_list` ,which can be a list of datasets taken from CMS DAS , and create the json contains `dataset_name:[filelist]`. One can specify the local path in that input list for samples not published in CMS DAS. `$output_json_name$` is the name of your output samples json file. +The `--whitelist_sites, --blacklist_sites` are considered for fetch dataset if multiple sites are available + ``` ## File publish in DAS python fetch.py --input ${input_DAS_list} --output ${output_json_name} (--xrd {prefix_forsite}) @@ -450,10 +452,10 @@ The official correction files collected in [jsonpog-integration](https://gitlab. # JMAR, IDs from JME- Following the scheme: "${SF_name}": "${WP}" "JMAR": {"PUJetID_eff": "L"}, "LSF": { - # Electron SF - Following the scheme: "${SF_name} ${year}": "${WP}" + # Electron SF - Following the scheme: "${SF_name} ${SF_map} ${year}": "${WP}" # https://github.com/cms-egamma/cms-egamma-docs/blob/master/docs/EgammaSFJSON.md - "ele_ID 2017": "wp90iso", - "ele_Reco 2017": "RecoAbove20", + "ele_ID 2017 UL-Electron-ID-SF": "wp90iso", + "ele_Reco 2017 UL-Electron-ID-SF": "RecoAbove20", # Muon SF - Following the scheme: "${SF_name} ${year}": "${WP}" # WPs : ['NUM_GlobalMuons_DEN_genTracks', 'NUM_HighPtID_DEN_TrackerMuons', 'NUM_HighPtID_DEN_genTracks', 'NUM_IsoMu27_DEN_CutBasedIdTight_and_PFIsoTight', 'NUM_LooseID_DEN_TrackerMuons', 'NUM_LooseID_DEN_genTracks', 'NUM_LooseRelIso_DEN_LooseID', 'NUM_LooseRelIso_DEN_MediumID', 'NUM_LooseRelIso_DEN_MediumPromptID', 'NUM_LooseRelIso_DEN_TightIDandIPCut', 'NUM_LooseRelTkIso_DEN_HighPtIDandIPCut', 'NUM_LooseRelTkIso_DEN_TrkHighPtIDandIPCut', 'NUM_MediumID_DEN_TrackerMuons', 'NUM_MediumID_DEN_genTracks', 'NUM_MediumPromptID_DEN_TrackerMuons', 'NUM_MediumPromptID_DEN_genTracks', 'NUM_Mu50_or_OldMu100_or_TkMu100_DEN_CutBasedIdGlobalHighPt_and_TkIsoLoose', 'NUM_SoftID_DEN_TrackerMuons', 'NUM_SoftID_DEN_genTracks', 'NUM_TightID_DEN_TrackerMuons', 'NUM_TightID_DEN_genTracks', 'NUM_TightRelIso_DEN_MediumID', 'NUM_TightRelIso_DEN_MediumPromptID', 'NUM_TightRelIso_DEN_TightIDandIPCut', 'NUM_TightRelTkIso_DEN_HighPtIDandIPCut', 'NUM_TightRelTkIso_DEN_TrkHighPtIDandIPCut', 'NUM_TrackerMuons_DEN_genTracks', 'NUM_TrkHighPtID_DEN_TrackerMuons', 'NUM_TrkHighPtID_DEN_genTracks'] @@ -522,6 +524,9 @@ options: --xrange XRANGE custom x-range, --xrange xmin,xmax --flow FLOW str, optional {None, 'show', 'sum'} Whether plot the under/overflow bin. If 'show', add additional under/overflow bin. If 'sum', add the under/overflow bin content to first/last bin. + --split {flavor,sample,sample_flav} + Decomposition of MC samples. Default is split to jet flavor(udsg, pu, c, b), possible to split by group of MC + samples. 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"root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_196.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_216.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_220.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_225.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_12.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_13.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_78.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_222.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_221.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_226.root", + "root://maite.iihe.ac.be:1095//store/user/vanderli/PFNano_Run3/data_2022CDE_rereco/Muon/Run2022D-27Jun2023-v2_BTV_Run3_2022_Comm_v2_NanoV12/230927_144133/0000/nano_data2022CDE_181.root" + ] +} \ No newline at end of file diff --git a/metadata/test_bta_run3.json b/metadata/test_bta_run3.json index 30437397..bb9b4122 100644 --- a/metadata/test_bta_run3.json +++ b/metadata/test_bta_run3.json @@ -1,7 +1,8 @@ { "JetMET_Run2022F-PromptReco-v1":[ - "root://cmsxrootd-kit.gridka.de:1094///store/user/milee/PFNano_Run3/data_2022FG_prompt/JetMET/Run2022F-PromptReco-v1_BTV_Run3_2022_Comm_v2_NANOV11/230830_214859/0000/nano_data2022FG_20.root" + "root://cceos.ihep.ac.cn:1094//eos/ihep/cms/store/user/coli/PFNano_Run3/data_2022FG_prompt/JetMET/Run2022F-PromptReco-v1_BTV_Run3_2022_Comm_v2/230808_133855/0000/nano_data2022FG_687.root" ], - "TTto4Q_TuneCP5_13p6TeV_powheg-pythia8":["root://eoscms.cern.ch//eos/cms/store/user/coli/PFNano/2022/mc/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/PFNano_v1_Run3Summer22MiniAODv3-124X_v12-v4/230629_163448/0000/nano_mcRun3_8.root"] + "TTto4Q_TuneCP5_13p6TeV_powheg-pythia8":[ + "root://grid-cms-xrootd.physik.rwth-aachen.de:1094//store/user/milee/PFNano_Run3/mc_summer22EE/TTto4Q_TuneCP5_13p6TeV_powheg-pythia8/Run3Summer22EEMiniAODv3-124X_mcRun3_2022_realistic_postEE_v1-v3_BTV_Run3_2022_Comm_v2_NanoV12/230927_141657/0000/nano_mcRun3_EE_948.root"] } diff --git a/runner.py b/runner.py index c834017c..426d8380 100644 --- a/runner.py +++ b/runner.py @@ -687,7 +687,6 @@ def get_main_parser(): worker_extra_args=["--worker-port 10000:10100"], job_script_prologue=job_script_prologue, ) - print("setting here is correct") elif "slurm" in args.executor: cluster = SLURMCluster( queue="all", diff --git a/scripts/fetch.py b/scripts/fetch.py index 75e9c9e0..128cb704 100644 --- a/scripts/fetch.py +++ b/scripts/fetch.py @@ -1,7 +1,8 @@ import sys -from os import popen, listdir, makedirs, path, system +import os import json import argparse +from collections import defaultdict # Adapt some developments from Andrey Pozdnyakov in CoffeaRunner https://github.com/cms-rwth/CoffeaRunner/blob/master/filefetcher/fetch.py parser = argparse.ArgumentParser( @@ -23,9 +24,9 @@ ) parser.add_argument( "--xrd", - default="root://xrootd-cms.infn.it//", + default=None, type=str, - help="xrootd prefix string (default: %(default)s)", + help="xrootd prefix string otherwise get from available sites", ) parser.add_argument( @@ -34,11 +35,60 @@ help="For samples that are not published on DAS. If this option is set then the format of the --input file must be adjusted. It should be: \n dataset_name path_to_files.", default=False, ) +parser.add_argument( + "--whitelist_sites", + help="White list fot sites", + default=None, +) +parser.add_argument( + "--blacklist_sites", + help="Black list for sites", + default=None, +) + args = parser.parse_args() -# Adapt +# Based on https://github.com/PocketCoffea/PocketCoffea/blob/main/pocket_coffea/utils/rucio.py +def get_xrootd_sites_map(): + sites_xrootd_access = defaultdict(dict) + if not os.path.exists(".sites_map.json"): + print("Loading SITECONF info") + sites = [ + (s, "/cvmfs/cms.cern.ch/SITECONF/" + s + "/storage.json") + for s in os.listdir("/cvmfs/cms.cern.ch/SITECONF/") + if s.startswith("T") + ] + for site_name, conf in sites: + if not os.path.exists(conf): + continue + try: + data = json.load(open(conf)) + except: + continue + for site in data: + if site["type"] != "DISK": + continue + if site["rse"] == None: + continue + for proc in site["protocols"]: + if proc["protocol"] == "XRootD": + if proc["access"] not in ["global-ro", "global-rw"]: + continue + if "prefix" not in proc: + if "rules" in proc: + for rule in proc["rules"]: + sites_xrootd_access[site["rse"]][ + rule["lfn"] + ] = rule["pfn"] + else: + sites_xrootd_access[site["rse"]] = proc["prefix"] + json.dump(sites_xrootd_access, open(".sites_map.json", "w")) + + return json.load(open(".sites_map.json")) + + def getFilesFromDas(args): fset = [] with open(args.input) as fp: @@ -47,25 +97,38 @@ def getFilesFromDas(args): fset.append(line) fdict = {} - + if args.blacklist_sites is not None: + args.blacklist_sites = args.blacklist_sites.split(",") + print("blacklist sites:", args.blacklist_sites) + if args.whitelist_sites is not None: + args.whitelist_sites = args.whitelist_sites.split(",") + print("whitelist sites:", args.whitelist_sites) for dataset in fset: if dataset.startswith("#") or dataset.strip() == "": - # print("we skip this line:", line) continue dsname = dataset.strip().split("/")[1] # Dataset first name - Tier = dataset.strip().split("/")[ - 3 - ] # NANOAODSIM for regular samples, USER for private - if "SIM" not in Tier: - dsname = dataset.strip().split("/")[1] + "_" + dataset.split("/")[2] + Tier = dataset.strip().split("/")[3] + # NANOAODSIM for regular samples, USER for private + if "Run" in dataset and "mc" not in dataset: + dsname = ( + dataset.strip().split("/")[1] + + dataset.strip().split("/")[2][ + dataset.strip() + .split("/")[2] + .find("Run") : dataset.strip() + .split("/")[2] + .rfind("-") + ] + ) + # +dataset.strip().split("/")[2].find("Run") instance = "prod/global" if Tier == "USER": instance = "prod/phys03" print("Creating list of files for dataset", dsname, Tier, instance) flist = ( - popen( + os.popen( ( "/cvmfs/cms.cern.ch/common/dasgoclient -query='instance={} file dataset={}'" ).format(instance, fset[fset.index(dataset)].rstrip()) @@ -73,13 +136,62 @@ def getFilesFromDas(args): .read() .split("\n") ) + import json + + dataset = dataset[:-1] if "\n" in dataset else dataset + fetchsite = json.loads( + ( + os.popen( + f"/cvmfs/cms.cern.ch/common/dasgoclient -query='instance={instance} dataset={dataset} site' -json" + ).read() + ) + ) + + if instance == "prod/phys03": + possible_sites = [fetchsite[0]["site"][0]["name"]] + print(fetchsite[0]["site"]) + else: + possible_sites = [ + s["site"][0]["name"] + for s in fetchsite + if (s["site"][0]["replica_fraction"] == "100.00%") + & (s["site"][0]["block_completion"] == "100.00%") + & (s["site"][0]["kind"] == "DISK") + ] + + sites_xrootd_prefix = get_xrootd_sites_map() + xrd = None + + if args.xrd == None: + if args.whitelist_sites is not None: + # get first site in whitelist_site + for w_site in args.whitelist_sites: + if xrd is not None: + break + for site in possible_sites: + if site == w_site and type(sites_xrootd_prefix[site]) == str: + xrd = sites_xrootd_prefix[site] + else: + for site in possible_sites: + if ( + args.blacklist_sites is not None + and site in args.blacklist_sites + ): + continue + # get first site in possible_sites + elif type(sites_xrootd_prefix[site]) == str: + xrd = sites_xrootd_prefix[site] + else: + xrd = args.xrd + + if xrd is None: + raise Exception(f"No SITE available in the whitelist for file {dsname}") if dsname not in fdict: - fdict[dsname] = [args.xrd + f for f in flist if len(f) > 1] + fdict[dsname] = [xrd + f for f in flist if len(f) > 1] else: # needed to collect all data samples into one common key "Data" (using append() would introduce a new element for the key) - fdict[dsname].extend([args.xrd + f for f in flist if len(f) > 1]) + fdict[dsname].extend([xrd + f for f in flist if len(f) > 1]) - # pprint.pprint(fdict, depth=1) return fdict @@ -116,18 +228,17 @@ def getRootFilesFromPath(d, lim=None): allfiles = str( subprocess.check_output(["xrdfs", siteIP, "ls", pathToFiles]), "utf-8" ).split("\n") - # rootfiles = [siteIP+'/'+f for i,f in enumerate(allfiles) if f.endswith(".root") and (lim==None or i 1: - output = {i: load(i) for i in arg.input.split(",")} -elif "*" in arg.input: - files = glob.glob(arg.input) +if not os.path.isdir(f"plot/BTV/{args.phase}_{args.ext}_{time}/"): + os.makedirs(f"plot/BTV/{args.phase}_{args.ext}_{time}/") +if len(args.input.split(",")) > 1: + output = {i: load(i) for i in args.input.split(",")} +elif "*" in args.input: + files = glob.glob(args.input) output = {i: load(i) for i in files} else: - output = {arg.input: load(arg.input)} -output = scaleSumW(output, arg.lumi) + output = {args.input: load(args.input)} +output = scaleSumW(output, args.lumi) mergemap = {} - +## create merge map from sample set/data MC if not any(".coffea" in o for o in output.keys()): + if "sample" in args.split: + mergemap = sample_mergemap mergemap["data"] = [m for m in output.keys() if "Run" in m] mergemap["mc"] = [m for m in output.keys() if "Run" not in m] else: @@ -107,54 +118,61 @@ for f in output.keys(): datalist.extend([m for m in output[f].keys() if "Run" in m]) mclist.extend([m for m in output[f].keys() if "Run" not in m]) + if "sample" in args.split: + mergemap = sample_mergemap mergemap["mc"] = mclist mergemap["data"] = datalist collated = collate(output, mergemap) + +for sample in mergemap.keys(): + if type(collated[sample]) is not dict: + del collated[sample] ### input text settings -if "Wc" in arg.phase: +if "Wc" in args.phase: input_txt = "W+c" - if arg.splitOSSS == 1: + if args.splitOSSS == 1: input_txt = input_txt + " OS" - elif arg.splitOSSS == -1: + elif args.splitOSSS == -1: input_txt = input_txt + " SS" else: input_txt = input_txt + " OS-SS" -elif "DY" in arg.phase: +elif "DY" in args.phase: input_txt = "DY+jets" -elif "semilep" in arg.phase: +elif "semilep" in args.phase: input_txt = r"t$\bar{t}$ semileptonic" nj = 4 -elif "dilep" in arg.phase: +elif "dilep" in args.phase: input_txt = r"t$\bar{t}$ dileptonic" nj = 2 if ( - "njet" in arg.variable.split(",") - or "nbjet" in arg.variable.split(",") - or "mu" in arg.variable.split(",") + "njet" in args.variable.split(",") + or "nbjet" in args.variable.split(",") + or "mu" in args.variable.split(",") ): nj = 1 -if "emctag" in arg.phase: +if "emctag" in args.phase: input_txt = input_txt + " (e$\mu$)" -elif "ectag" in arg.phase: +elif "ectag" in args.phase: input_txt = input_txt + " (e)" -elif "ttdilep_sf" == arg.phase: +elif "ttdilep_sf" == args.phase: input_txt = input_txt + " (e$\mu$)" else: input_txt = input_txt + " ($\mu$)" -if "ctag" in arg.phase and "DY" not in arg.phase: +if "ctag" in args.phase and "DY" not in args.phase: input_txt = input_txt + "\nw/ soft-$\mu$" -if arg.variable == "all": +if args.variable == "all": var_set = collated["mc"].keys() -elif "*" in arg.variable: +elif "*" in args.variable: var_set = [ - var for var in collated["mc"].keys() if arg.variable.replace("*", "") in var + var for var in collated["data"].keys() if args.variable.replace("*", "") in var ] else: - var_set = arg.variable.split(",") + var_set = args.variable.split(",") for index, discr in enumerate(var_set): if "sumw" == discr: continue + ## remove empty if ( discr not in collated["mc"].keys() or discr not in collated["data"].keys() @@ -164,20 +182,20 @@ print(discr, "not in file or empty") continue + ## axis info allaxis = {} - if "Wc" in arg.phase: - if arg.splitOSSS is None: # OS-SS - collated["mc"][discr] = ( - collated["mc"][discr][{"osss": 0}] - + collated["mc"][discr][{"osss": 1}] * -1 - ) - collated["data"][discr] = ( - collated["data"][discr][{"osss": 0}] - + collated["data"][discr][{"osss": 1}] * -1 - ) - elif arg.splitOSSS == 1: + if "Wc" in args.phase: + if args.splitOSSS is None: # OS-SS + for sample in collated.keys(): + if discr not in collated[sample].keys(): + continue + collated[sample][discr] = ( + collated[sample][discr][{"osss": 0}] + + collated[sample][discr][{"osss": 1}] * -1 + ) + elif args.splitOSSS == 1: allaxis["osss"] = 0 # opposite sign - elif arg.splitOSSS == -1: + elif args.splitOSSS == -1: allaxis["osss"] = 1 # same sign if "flav" in collated["mc"][discr].axes.name: allaxis["flav"] = sum @@ -191,12 +209,13 @@ if "noSF" in systlist: noSF_axis["syst"] = "noSF" + ## rebin config, add xerr do_xerr = False - if arg.autorebin is not None: - if arg.autorebin.isdigit(): - rebin = int(arg.autorebin) + if args.autorebin is not None: + if args.autorebin.isdigit(): + rebin = int(args.autorebin) else: - rebin = np.array([float(i) for i in arg.autorebin.split(",")]) + rebin = np.array([float(i) for i in args.autorebin.split(",")]) do_xerr = True collated["mc"][discr] = rebin_hist( collated["mc"][discr], collated["mc"][discr].axes[-1].name, rebin @@ -205,10 +224,11 @@ collated["data"][discr], collated["data"][discr].axes[-1].name, rebin ) + ## Rescale noSF & SF to same MC yields if ( "flav" in collated["mc"][discr].axes.name and "syst" in collated["mc"][discr].axes.name - and arg.SF + and args.SF ): scale_sf = np.sum(collated["mc"][discr][SF_axis].values()) / np.sum( collated["mc"][discr][noSF_axis].values() @@ -218,7 +238,7 @@ if ( "flav" in collated["mc"][discr].axes.name and "syst" in collated["mc"][discr].axes.name - and arg.SF + and args.SF ): print("============> fraction of each flavor in MC") print( @@ -247,29 +267,48 @@ ) fig.subplots_adjust(hspace=0.06, top=0.92, bottom=0.1, right=0.97) hep.cms.label( - "Preliminary", data=True, lumi=arg.lumi / 1000.0, com=arg.com, loc=0, ax=ax + "Preliminary", data=True, lumi=args.lumi / 1000.0, com=args.com, loc=0, ax=ax ) + ## w/ & w/o btag SF if ( "flav" in collated["mc"][discr].axes.name and "syst" in collated["mc"][discr].axes.name - and arg.SF + and args.SF + and args.split != "sample" ): - splitflav_stack = [] + splitflav_stack, labels, color_config = [], [], {} + color_config["color"], color_config["alpha"] = [], [] splitflav_axis = SF_axis - for i in range(4): - splitflav_axis["flav"] = i - splitflav_stack += [[collated["mc"][discr][splitflav_axis]]] + for sample in collated.keys(): + if sample == "data": + continue + if args.split == "flavor" and sample != "mc": + continue + elif args.split == "sample_flav" and sample == "mc": + continue + for i, t in enumerate(["udsg", "pu", "c", "b"]): + splitflav_axis["flav"] = i + splitflav_stack.append(collated[sample][discr][splitflav_axis]) + if args.split == "flavor": + labels.append(t) + color_config["color"].append(color_map[t]) + color_config["alpha"].append(1.0) + else: + labels.append(f"{sample} ({t})") + color_config["color"].append(color_map[sample]) + color_config["alpha"].append(1.0 - 0.2 * i) SF_axis["flav"] = sum hep.histplot( splitflav_stack, stack=True, - label=["udsg", "pileup", "c", "b"], + label=labels, histtype="fill", yerr=True, ax=ax, - # flow=arg.flow + flow=args.flow, + **color_config, ) hep.histplot( collated["mc"][discr][noSF_axis], @@ -278,7 +317,7 @@ width=2, yerr=True, ax=ax, - # flow=arg.flow + flow=args.flow, ) hep.histplot( collated["data"][discr][noSF_axis], @@ -287,17 +326,17 @@ label="Data", yerr=True, ax=ax, - xerr=do_xerr - # flow=arg.flow + xerr=do_xerr, + flow=args.flow, ) hmc = collated["mc"][discr][SF_axis] - MCerrorband(hmc, ax=ax, flow=arg.flow) # stat. unc. errorband - SFerror = SFerror(collated, discr, flow=arg.flow) + MCerrorband(hmc, ax=ax, flow=args.flow) # stat. unc. errorband + SFerror = SFerror(collated, discr, flow=args.flow) other = {"hatch": "\\\\", "lw": 0, "color": "r", "alpha": 0.4} MCerrorband( hmc, ax=ax, - flow=arg.flow, + flow=args.flow, ext_error=SFerror, label="SF unc.", fill_opts=other, @@ -306,7 +345,7 @@ collated["data"][discr][noSF_axis], collated["mc"][discr][noSF_axis], ax=rax, - flow=arg.flow, + flow=args.flow, xerr=do_xerr, ) plotratio( @@ -318,27 +357,47 @@ denom_fill_opts=other, clear=False, label="SF unc.", - flow=arg.flow, + flow=args.flow, xerr=do_xerr, ) elif ( - "syst" in collated["mc"][discr].axes.name and not arg.SF and "noSF" in systlist + "syst" in collated["mc"][discr].axes.name + and not args.SF + and "noSF" in systlist + and args.split != "sample" ): - splitflav_stack = [] + splitflav_stack, labels, color_config = [], [], {} + color_config["color"], color_config["alpha"] = [], [] splitflav_axis = noSF_axis - for i in range(4): - splitflav_axis["flav"] = i - splitflav_stack += [collated["mc"][discr][splitflav_axis]] + for sample in collated.keys(): + if sample == "data": + continue + if args.split == "flavor" and sample != "mc": + continue + elif args.split == "sample_flav" and sample == "mc": + continue + for i, t in enumerate(["udsg", "pu", "c", "b"]): + splitflav_axis["flav"] = i + splitflav_stack.append(collated[sample][discr][splitflav_axis]) + if args.split == "flavor": + labels.append(t) + color_config["color"].append(color_map[t]) + color_config["alpha"].append(1.0) + else: + labels.append(f"{sample} ({t})") + color_config["color"].append(color_map[sample]) + color_config["alpha"].append(1.0 - 0.2 * i) noSF_axis["flav"] = sum hep.histplot( splitflav_stack, stack=True, histtype="fill", - label=["udsg", "pileup", "c", "b"], + label=labels, yerr=True, ax=ax, - # flow=arg.flow + flow=args.flow, + **color_config, ) hep.histplot( collated["data"][discr][noSF_axis], @@ -347,30 +406,52 @@ label="Data", yerr=True, ax=ax, - xerr=do_xerr - # flow=arg.flow + xerr=do_xerr, + flow=args.flow, ) hmc = collated["mc"][discr][noSF_axis] - MCerrorband(hmc, ax=ax, flow=arg.flow) # stat. unc. errorband + MCerrorband(hmc, ax=ax, flow=args.flow) # stat. unc. errorband rax = plotratio( - collated["data"][discr][noSF_axis], hmc, ax=rax, flow=arg.flow, xerr=do_xerr + collated["data"][discr][noSF_axis], + hmc, + ax=rax, + flow=args.flow, + xerr=do_xerr, ) - elif "flav" in collated["mc"][discr].axes.name: - splitflav_stack = [] + elif "flav" in collated["mc"][discr].axes.name and args.split != "sample": + splitflav_stack, labels, color_config = [], [], {} + color_config["color"], color_config["alpha"] = [], [] splitflav_axis = allaxis - for i in range(4): - splitflav_axis["flav"] = i - splitflav_stack += [collated["mc"][discr][splitflav_axis]] + for sample in collated.keys(): + if sample == "data": + continue + if args.split == "flavor" and sample != "mc": + continue + elif args.split == "sample_flav" and sample == "mc": + continue + for i, t in enumerate(["udsg", "pu", "c", "b"]): + splitflav_axis["flav"] = i + splitflav_stack.append(collated[sample][discr][splitflav_axis]) + if args.split == "flavor": + labels.append(t) + color_config["color"].append(color_map[t]) + color_config["alpha"].append(1.0) + else: + labels.append(f"{sample} ({t})") + color_config["color"].append(color_map[sample]) + + color_config["alpha"].append(1.0 - 0.2 * i) allaxis["flav"] = sum hep.histplot( splitflav_stack, stack=True, histtype="fill", - label=["udsg", "pileup", "c", "b"], + label=labels, yerr=True, ax=ax, - # flow=arg.flow + flow=args.flow, + **color_config, ) hep.histplot( collated["data"][discr][allaxis], @@ -379,25 +460,43 @@ label="Data", yerr=True, ax=ax, - xerr=do_xerr - # flow=arg.flow + xerr=do_xerr, + flow=args.flow, ) hmc = collated["mc"][discr][allaxis] MCerrorband(hmc, ax=ax) rax = plotratio( - collated["data"][discr][allaxis], hmc, ax=rax, flow=arg.flow, xerr=do_xerr + collated["data"][discr][allaxis], hmc, ax=rax, flow=args.flow, xerr=do_xerr ) else: hmc = collated["mc"][discr][allaxis] - hep.histplot( - hmc, - color="tab:orange", - histtype="fill", - label=["MC"], - yerr=True, - ax=ax, - # flow=arg.flow - ) + if "sample" in args.split: + hep.histplot( + [ + collated[s][discr][allaxis] + for s in collated.keys() + if s != "mc" and s != "data" + ], + histtype="fill", + stack=True, + label=[s for s in collated.keys() if s != "mc" and s != "data"], + yerr=True, + ax=ax, + color=[ + color_map[s] for s in collated.keys() if s != "mc" and s != "data" + ], + flow=args.flow, + ) + else: + hep.histplot( + hmc, + color="tab:orange", + histtype="fill", + label=["MC"], + yerr=True, + ax=ax, + flow=args.flow, + ) hep.histplot( collated["data"][discr][allaxis], histtype="errorbar", @@ -405,12 +504,12 @@ label="Data", yerr=True, ax=ax, - xerr=do_xerr - # flow=arg.flow + xerr=do_xerr, + flow=args.flow, ) - MCerrorband(hmc, ax=ax, flow=arg.flow) # stat. unc. errorband + MCerrorband(hmc, ax=ax, flow=args.flow) # stat. unc. errorband rax = plotratio( - collated["data"][discr][allaxis], hmc, ax=rax, flow=arg.flow, xerr=do_xerr + collated["data"][discr][allaxis], hmc, ax=rax, flow=args.flow, xerr=do_xerr ) ax.set_xlabel(None) @@ -420,11 +519,13 @@ ax.get_yaxis().get_offset_text().set_position((-0.065, 1.05)) # FIXME: add wildcard option for xlabel xlabel = ( - arg.xlabel if arg.xlabel is not None else collated["data"][discr].axes[-1].label + args.xlabel + if args.xlabel is not None + else collated["data"][discr].axes[-1].label ) # Use label from stored hists ## FIXME: Set temporary fix for the x-axis - if arg.xlabel is not None: - arg.xlabel.split(",")[index] + if args.xlabel is not None: + args.xlabel.split(",")[index] elif "DeepJet" in discr or "DeepCSV" in discr or "PFCands" in discr: xlabel = ( bininfo[discr]["displayname"] @@ -439,47 +540,51 @@ xlabel = axes_name(discr) rax.set_xlabel(xlabel) - ax.legend() + if "sample" in args.split: + ax.legend(ncols=2, prop={"size": 16}) + else: + ax.legend() rax.set_ylim(0, 2.0) ax.set_ylim(bottom=0.0) rax.autoscale(True, axis="x", tight=True) xmin, xmax = autoranger( - collated["data"][discr][allaxis] + collated["mc"][discr][allaxis], flow=arg.flow + collated["data"][discr][allaxis] + collated["mc"][discr][allaxis], + flow=args.flow, ) - if arg.xrange is not None: - xmin, xmax = float(arg.xrange.split(",")[0]), float(arg.xrange.split(",")[1]) + if args.xrange is not None: + xmin, xmax = float(args.xrange.split(",")[0]), float(args.xrange.split(",")[1]) rax.set_xlim(xmin, xmax) - at = AnchoredText(input_txt + "\n" + arg.ext, loc=2, frameon=False) + at = AnchoredText(input_txt + "\n" + args.ext, loc=2, frameon=False) ax.add_artist(at) scale = "" - if arg.norm: + if args.norm: scale = "_norm" name = "all" hep.mpl_magic(ax=ax) - if arg.log: + if args.log: print( "creating:", - f"plot/BTV/{arg.phase}_{arg.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png", + f"plot/BTV/{args.phase}_{args.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png", ) ax.set_yscale("log") name = "log" ax.set_ylim(bottom=0.1) hep.mpl_magic(ax=ax) fig.savefig( - f"plot/BTV/{arg.phase}_{arg.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.pdf" + f"plot/BTV/{args.phase}_{args.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.pdf" ) fig.savefig( - f"plot/BTV/{arg.phase}_{arg.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png" + f"plot/BTV/{args.phase}_{args.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png" ) else: print( "creating:", - f"plot/BTV/{arg.phase}_{arg.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png", + f"plot/BTV/{args.phase}_{args.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png", ) fig.savefig( - f"plot/BTV/{arg.phase}_{arg.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.pdf" + f"plot/BTV/{args.phase}_{args.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.pdf" ) fig.savefig( - f"plot/BTV/{arg.phase}_{arg.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png" + f"plot/BTV/{args.phase}_{args.ext}_{time}/unc_{discr}_inclusive{scale}_{name}.png" ) diff --git a/src/BTVNanoCommissioning/data/JME/Summer22Run3/jec_compiled.pkl.gz b/src/BTVNanoCommissioning/data/JME/Summer22Run3/jec_compiled.pkl.gz new file mode 100644 index 0000000000000000000000000000000000000000..1561bef02af4afb5dcf166e99d8072f697c59d1d GIT binary patch literal 37 mcmb2|=HNJ%^DBkve^zR8d~$wnL1s>Bie5o>4g)g-3;+NFZwjIS literal 0 HcmV?d00001 diff --git a/src/BTVNanoCommissioning/data/LSF/Summer22EERun3/ScaleFactors_Muon_Z_Run2022EE_Prompt_abseta_pT_schemaV2.json b/src/BTVNanoCommissioning/data/LSF/Summer22EERun3/ScaleFactors_Muon_Z_Run2022EE_Prompt_abseta_pT_schemaV2.json new file mode 100644 index 00000000..37264c86 --- /dev/null +++ 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sf: continue for nele in range(ak.num(allele.pt)[0]): ele = allele[:, nele] @@ -872,92 +917,192 @@ def eleSFs(ele, correct_map, weights, syst=True, isHLT=False): if "correctionlib" in str(type(correct_map["EGM"])): ## Reco SF -splitted pT if "Reco" in sf: - ele_pt = np.where(ele.pt < 20.0, 20.0, ele.pt) - ele_pt_low = np.where(ele.pt >= 20.0, 19.9, ele.pt) - - sfs_low = np.where( - (~mask) & (~masknone), - correct_map["EGM"][list(correct_map["EGM"].keys())[0]].evaluate( - sf[sf.find(" ") + 1 :], - "sf", - "RecoBelow20", - ele_eta, - ele_pt_low, - ), - 1.0, - ) - sfs = np.where( - mask & (~masknone), - correct_map["EGM"][list(correct_map["EGM"].keys())[0]].evaluate( - sf[sf.find(" ") + 1 :], "sf", "RecoAbove20", ele_eta, ele_pt - ), - sfs_low, - ) - sfs = np.where(masknone, 1.0, sfs) - - if syst: - sfs_up_low = np.where( - ~mask & ~masknone, - correct_map["EGM"][ - list(correct_map["EGM"].keys())[0] - ].evaluate( - sf[sf.find(" ") + 1 :], - "sfup", + if "Summer22" not in correct_map["campaign"]: + ele_pt = np.where(ele.pt < 20.0, 20.0, ele.pt) + ele_pt_low = np.where(ele.pt >= 20.0, 19.9, ele.pt) + sfs_low = np.where( + (~mask) & (~masknone), + correct_map["EGM"][correct_map["EGM_cfg"][sf]].evaluate( + sf.split(" ")[1], + "sf", "RecoBelow20", ele_eta, ele_pt_low, ), - 0.0, + 1.0, ) - sfs_down_low = np.where( - ~mask & ~masknone, - correct_map["EGM"][ - list(correct_map["EGM"].keys())[0] - ].evaluate( - sf[sf.find(" ") + 1 :], - "sfdown", + sfs = np.where( + mask & (~masknone), + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], "sf", "RecoAbove20", ele_eta, ele_pt + ), + sfs_low, + ) + sfs = np.where(masknone, 1.0, sfs) + + if syst: + sfs_up_low = np.where( + ~mask & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfup", + "RecoBelow20", + ele_eta, + ele_pt_low, + ), + 0.0, + ) + sfs_down_low = np.where( + ~mask & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfdown", + "RecoBelow20", + ele_eta, + ele_pt_low, + ), + 0.0, + ) + sfs_up = np.where( + mask & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfup", + "RecoAbove20", + ele_eta, + ele_pt, + ), + sfs_up_low, + ) + sfs_down = np.where( + mask & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfdown", + "RecoAbove20", + ele_eta, + ele_pt, + ), + sfs_down_low, + ) + sfs_up, sfs_down = np.where( + masknone, 1.0, sfs_up + ), np.where(masknone, 1.0, sfs_down) + else: + ele_pt = np.clip(ele.pt, 20.1, 74.9) + ele_pt_low = np.where(ele.pt >= 20.0, 19.9, ele.pt) + ele_pt_high = np.clip(ele.pt, 75.0, 500.0) + + sfs_low = np.where( + (ele.pt <= 20.0) & (~masknone), + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sf", "RecoBelow20", ele_eta, ele_pt_low, ), - 0.0, + 1.0, ) - sfs_up = np.where( - mask & ~masknone, - correct_map["EGM"][ - list(correct_map["EGM"].keys())[0] - ].evaluate( - sf[sf.find(" ") + 1 :], - "sfup", - "RecoAbove20", + sfs_high = np.where( + (ele.pt > 75.0) & (~masknone), + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sf", + "RecoAbove75", ele_eta, - ele_pt, + ele_pt_high, ), - sfs_up_low, + sfs_low, ) - sfs_down = np.where( - mask & ~masknone, - correct_map["EGM"][ - list(correct_map["EGM"].keys())[0] - ].evaluate( - sf[sf.find(" ") + 1 :], - "sfdown", - "RecoAbove20", - ele_eta, - ele_pt, + sfs = np.where( + (ele.pt > 20.0) & (ele.pt <= 75.0) & (~masknone), + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], "sf", "Reco20to75", ele_eta, ele_pt ), - sfs_down_low, - ) - sfs_up, sfs_down = np.where(masknone, 1.0, sfs_up), np.where( - masknone, 1.0, sfs_down + sfs_high, ) + + sfs = np.where(masknone, 1.0, sfs) + + if syst: + sfs_up_low = np.where( + (ele.pt <= 20.0) & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfup", + "RecoBelow20", + ele_eta, + ele_pt_low, + ), + 0.0, + ) + sfs_down_low = np.where( + (ele.pt <= 20.0) & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfdown", + "RecoBelow20", + ele_eta, + ele_pt_low, + ), + 0.0, + ) + sfs_up_high = np.where( + (ele.pt > 20.0) & (ele.pt <= 75.0) & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfup", + "RecoAbove75", + ele_eta, + ele_pt_high, + ), + sfs_up_low, + ) + sfs_down_high = np.where( + (ele.pt > 20.0) & (ele.pt <= 75.0) & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfdown", + "RecoAbove75", + ele_eta, + ele_pt_high, + ), + sfs_down_low, + ) + sfs_up = np.where( + (ele.pt > 20.0) & (ele.pt <= 75.0) & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfup", + "Reco20to75", + ele_eta, + ele_pt, + ), + sfs_up_high, + ) + sfs_down = np.where( + (ele.pt > 20.0) & (ele.pt <= 75.0) & ~masknone, + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], + "sfdown", + "Reco20to75", + ele_eta, + ele_pt, + ), + sfs_down_high, + ) + + sfs_up, sfs_down = np.where( + masknone, 1.0, sfs_up + ), np.where(masknone, 1.0, sfs_down) ## Other files else: sfs = np.where( masknone, 1.0, - correct_map["EGM"][list(correct_map["EGM"].keys())[0]].evaluate( - sf[sf.find(" ") + 1 :], + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], "sf", correct_map["EGM_cfg"][sf], ele_eta, @@ -969,10 +1114,8 @@ def eleSFs(ele, correct_map, weights, syst=True, isHLT=False): sfs_up = np.where( masknone, 1.0, - correct_map["EGM"][ - list(correct_map["EGM"].keys())[0] - ].evaluate( - sf[sf.find(" ") + 1 :], + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], "sfup", correct_map["EGM_cfg"][sf], ele_eta, @@ -982,10 +1125,8 @@ def eleSFs(ele, correct_map, weights, syst=True, isHLT=False): sfs_down = np.where( masknone, 1.0, - correct_map["EGM"][ - list(correct_map["EGM"].keys())[0] - ].evaluate( - sf[sf.find(" ") + 1 :], + correct_map["EGM"][sf.split(" ")[2]].evaluate( + sf.split(" ")[1], "sfdown", correct_map["EGM_cfg"][sf], ele_eta, @@ -1063,12 +1204,14 @@ def muSFs(mu, correct_map, weights, syst=False, isHLT=False): mu = allmu[:, nmu] masknone = ak.is_none(mu.pt) - mu_pt = np.where(mu.pt < 15, 15, mu.pt) - mu_eta = np.where(np.abs(mu.eta) >= 2.4, 2.39, np.abs(mu.eta)) + mu_pt = np.clip(mu.pt, 15.0, 199.9) + mu_eta = np.clip(np.abs(mu.eta), 0.0, 2.4) mask = mu_pt > 30 sfs = 1.0 if "correctionlib" in str(type(correct_map["MUO"])): - if "ID" in sf or "Reco" in sf: + if ("ID" in sf or "Reco" in sf) and "Summer22" not in correct_map[ + "campaign" + ]: mu_pt = ak.fill_none(np.where(mu.pt < 30, 30, mu.pt), 30) mu_pt_low = ak.fill_none(np.where(mu.pt >= 30, 30, mu.pt), 30) sfs_low = np.where( @@ -1116,29 +1259,56 @@ def muSFs(mu, correct_map, weights, syst=False, isHLT=False): ) else: - sfs = np.where( - masknone, - 1.0, - correct_map["MUO"][correct_map["MUO_cfg"][sf]].evaluate( - sf[sf.find(" ") + 1 :], mu_eta, mu_pt, "sf" - ), - ) - - if syst: - sfs_up = np.where( + if "Summer22" not in correct_map["campaign"]: + sfs = np.where( masknone, 1.0, correct_map["MUO"][correct_map["MUO_cfg"][sf]].evaluate( - sf[sf.find(" ") + 1 :], mu_eta, mu_pt, "systup" + correct_map["MUO_cfg"][sf.split(" ")[1]], + mu_eta, + mu_pt, + "sf", ), ) - sfs_down = np.where( + else: + sfs = np.where( masknone, 1.0, correct_map["MUO"][correct_map["MUO_cfg"][sf]].evaluate( - sf[sf.find(" ") + 1 :], mu_eta, mu_pt, "systdown" + mu_eta, mu_pt, "nominal" ), ) + if syst: + if "Summer22" not in correct_map["campaign"]: + sfs_up = np.where( + masknone, + 1.0, + correct_map["MUO"][correct_map["MUO_cfg"][sf]].evaluate( + correct_map["MUO_cfg"][sf.split(" ")[1]], + mu_eta, + mu_pt, + "systup", + ), + ) + sfs_down = np.where( + masknone, + 1.0, + correct_map["MUO"][correct_map["MUO_cfg"][sf]].evaluate( + correct_map["MUO_cfg"][sf.split(" ")[1]], + mu_eta, + mu_pt, + "systdown", + ), + ) + else: + sf_unc = np.where( + masknone, + 0.0, + correct_map["MUO"][correct_map["MUO_cfg"][sf]].evaluate( + mu_eta, mu_pt, "syst" + ), + ) + sfs_up, sfs_down = 1.0 + sf_unc, 1.0 - sf_unc else: if "mu" in sf: sfs = np.where( diff --git a/src/BTVNanoCommissioning/utils/histogrammer.py b/src/BTVNanoCommissioning/utils/histogrammer.py index 62a9b87b..b45cafba 100644 --- a/src/BTVNanoCommissioning/utils/histogrammer.py +++ b/src/BTVNanoCommissioning/utils/histogrammer.py @@ -28,7 +28,15 @@ def histogrammer(events, workflow): n_axis = Hist.axis.Integer(0, 10, name="n", label="N obj") osss_axis = Hist.axis.IntCategory([1, -1], name="osss", label="OS(+)/SS(-)") ### Workflow specific - if "validation" == workflow: + if "example" == workflow: + obj_list = [ + "jet", + "mu", + ] # store basic 4-vector, pt,eta, phi, mass for the object + _hist_dict[f"dr_mujet"] = Hist.Hist( + syst_axis, flav_axis, dr_axis, Hist.storage.Weight() + ) # create cutstomize histogram + elif "validation" == workflow: obj_list = ["jet0", "jet1"] elif "ttcom" == workflow: obj_list = ["mu", "ele"] @@ -116,7 +124,6 @@ def histogrammer(events, workflow): _hist_dict[f"{i}_ptratio"] = Hist.Hist( syst_axis, flav_axis, ptratio_axis, Hist.storage.Weight() ) - elif "ctag_ttsemilep_sf" in workflow: obj_list = ["hl", "soft_l", "MET", "z", "w", "mujet"] _hist_dict["z_mass"] = Hist.Hist( @@ -163,7 +170,6 @@ def histogrammer(events, workflow): _hist_dict[f"{i}_ptratio"] = Hist.Hist( syst_axis, flav_axis, ptratio_axis, Hist.storage.Weight() ) - elif "Wc_sf" in workflow: obj_list = ["hl", "soft_l", "MET", "z", "w", "mujet"] _hist_dict["SV_charge"] = Hist.Hist( @@ -224,7 +230,6 @@ def histogrammer(events, workflow): _hist_dict[f"{i}_ptratio"] = Hist.Hist( syst_axis, flav_axis, osss_axis, ptratio_axis, Hist.storage.Weight() ) - elif "DY_sf" in workflow: obj_list = ["posl", "negl", "z", "jet"] _hist_dict["z_mass"] = Hist.Hist( @@ -241,7 +246,8 @@ def histogrammer(events, workflow): syst_axis, dxy_axis, Hist.storage.Weight() ) _hist_dict[f"{i}_dz"] = Hist.Hist(syst_axis, dz_axis, Hist.storage.Weight()) - ### Common kinematic variables + + ### Common kinematic variables histogram creation if "Wc_sf" not in workflow: _hist_dict["njet"] = Hist.Hist(syst_axis, n_axis, Hist.storage.Weight()) if "ctag_tt" in workflow: diff --git a/src/BTVNanoCommissioning/utils/plot_utils.py b/src/BTVNanoCommissioning/utils/plot_utils.py index 55ea0b83..e9ba53ad 100644 --- a/src/BTVNanoCommissioning/utils/plot_utils.py +++ b/src/BTVNanoCommissioning/utils/plot_utils.py @@ -12,7 +12,120 @@ "alpha": 0.4, } markers = [".", "o", "^", "s", "+", "x", "D", "*"] - +color_map = { + "$t\\bar{t}$": "#008695", + "Single top": "#3969ac", + "VV": "#7f3c8d", + "Z+jets": "#e68310", + "W+jets": "#80ba5a", + "QCD": "#e73f74", + "QCD($\\mu$)": "#a5aa99", + "udsg": "tab:blue", + "pu": "tab:orange", + "c": "tab:green", + "b": "tab:red", +} +sample_mergemap = { + # ttbar + "$t\\bar{t}$": [ + "TTto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8", + "TTto4Q_TuneCP5_13p6TeV_powheg-pythia8", + "TTtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8", + "TTTo2J1L1Nu_CP5_13p6TeV_powheg-pythia8", + ], + # single top + "Single top": [ + "TbarBQ_t-channel_4FS_CP5_13p6TeV_powheg-madspin-pythia8", + "TBbarQ_t-channel_4FS_CP5_13p6TeV_powheg-madspin-pythia8", + "TWminus_DR_AtLeastOneLepton_CP5_13p6TeV_powheg-pythia8", + "TbarBQ_t-channel_4FS_CP5_13p6TeV_powheg-madspin-pythia8", + "TbarWplus_DR_AtLeastOneLepton_CP5_13p6TeV_powheg-pythia8", + # decay + "TWminusto4Q_TuneCP5_13p6TeV_powheg-pythia8", + "TWminustoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8", + "TWminusto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8", + "TbarWplusto4Q_TuneCP5_13p6TeV_powheg-pythia8", + "TbarWplustoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8", + "TbarWplusto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8", + "TBbarQ_t-channel_4FS_TuneCP5_13p6TeV_powheg-madspin-pythia8", + "TbarBQ_t-channel_4FS_TuneCP5_13p6TeV_powheg-madspin-pythia8", + ], + # diboson + "VV": [ + "WW_TuneCP5_13p6TeV-pythia8", + "WZ_TuneCP5_13p6TeV-pythia8", + "ZZ_TuneCP5_13p6TeV-pythia8" + # decay + "ZZto2L2Q_TuneCP5_13p6TeV_powheg-pythia8", + "ZZto2Nu2Q_TuneCP5_13p6TeV_powheg-pythia8", + "ZZto4L_TuneCP5_13p6TeV_powheg-pythia8", + "ZZto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8", + "WZtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8", + "WZto2L2Q_TuneCP5_13p6TeV_powheg-pythia8", + "WZto3LNu_TuneCP5_13p6TeV_powheg-pythia8", + "WWto4Q_TuneCP5_13p6TeV_powheg-pythia8", + "WWtoLNu2Q_TuneCP5_13p6TeV_powheg-pythia8", + "WWto2L2Nu_TuneCP5_13p6TeV_powheg-pythia8", + ], + "Z+jets": [ + "DYto2L-2Jets_MLL-10to50_TuneCP5_13p6TeV_amcatnloFXFX-pythia8", + "DYto2L-2Jets_MLL-50_TuneCP5_13p6TeV_amcatnloFXFX-pythia8", + "DYJetsToLL_M-10to50_TuneCP5_13p6TeV-madgraphMLM-pythia8", + "DYJetsToLL_M-50_TuneCP5_13p6TeV-madgraphMLM-pythia8", + ], + "W+jets": [ + "WJetsToLNu_TuneCP5_13p6TeV-madgraphMLM-pythia8", + "WtoLNu-4Jets_TuneCP5_13p6TeV_madgraphMLM-pythia8", + # jet binned sample + "WtoLNu-4Jets_1J_TuneCP5_13p6TeV_madgraphMLM-pythia8", + "WtoLNu-4Jets_2J_TuneCP5_13p6TeV_madgraphMLM-pythia8", + "WtoLNu-4Jets_3J_TuneCP5_13p6TeV_madgraphMLM-pythia8", + ], + # QCD + "QCD": [ + "QCD_PT-15to30_TuneCP5_13p6TeV_pythia8", + "QCD_PT-30to50_TuneCP5_13p6TeV_pythia8", + "QCD_PT-50to80_TuneCP5_13p6TeV_pythia8", + "QCD_PT-50to80_TuneCP5_13p6TeV_pythia8", + "QCD_PT-80to120_TuneCP5_13p6TeV_pythia8", + "QCD_PT-120to170_TuneCP5_13p6TeV_pythia8", + "QCD_PT-170to300_TuneCP5_13p6TeV_pythia8", + "QCD_PT-170to300_TuneCP5_13p6TeV_pythia8", + "QCD_PT-300to470_TuneCP5_13p6TeV_pythia8", + "QCD_PT-300to470_TuneCP5_13p6TeV_pythia8", + "QCD_PT-470to600_TuneCP5_13p6TeV_pythia8", + "QCD_PT-470to600_TuneCP5_13p6TeV_pythia8", + "QCD_PT-600to800_TuneCP5_13p6TeV_pythia8", + "QCD_PT-600to800_TuneCP5_13p6TeV_pythia8", + "QCD_PT-800to1000_TuneCP5_13p6TeV_pythia8", + "QCD_PT-800to1000_TuneCP5_13p6TeV_pythia8", + "QCD_PT-1000to1400_TuneCP5_13p6TeV_pythia8", + "QCD_PT-1000to1400_TuneCP5_13p6TeV_pythia8", + "QCD_PT-1400to1800_TuneCP5_13p6TeV_pythia8", + "QCD_PT-1400to1800_TuneCP5_13p6TeV_pythia8", + "QCD_PT-1800to2400_TuneCP5_13p6TeV_pythia8", + "QCD_PT-1800to2400_TuneCP5_13p6TeV_pythia8", + "QCD_PT-2400to3200_TuneCP5_13p6TeV_pythia8", + "QCD_PT-2400to3200_TuneCP5_13p6TeV_pythia8", + "QCD_PT-3200_TuneCP5_13p6TeV_pythia8", + "QCD_PT-3200_TuneCP5_13p6TeV_pythia8", + ], + # QCD muon enriched + "QCD($\\mu$)": [ + "QCD_PT-15to20_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-20to30_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-30to50_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-50to80_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-80to120_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-120to170_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-170to300_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-300to470_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-470to600_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-600to800_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-800to1000_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + "QCD_PT-1000_MuEnrichedPt5_TuneCP5_13p6TeV_pythia8", + ], +} ### copy functions coffea.hist.plotratio https://github.com/CoffeaTeam/coffea/blob/master/coffea/hist/plot.py to boost-hist ################ ## ratio plot ## diff --git a/src/BTVNanoCommissioning/utils/selection.py b/src/BTVNanoCommissioning/utils/selection.py index e96c3372..9d234b02 100644 --- a/src/BTVNanoCommissioning/utils/selection.py +++ b/src/BTVNanoCommissioning/utils/selection.py @@ -30,28 +30,19 @@ def jet_id(events, campaign): ## FIXME: Electron cutbased Id & MVA ID not exist in Winter22Run3 sample def ele_cuttightid(events, campaign): - if "Run3" not in campaign: - elemask = ( - (abs(events.Electron.eta) < 1.4442) - | ((abs(events.Electron.eta) < 2.5) & (abs(events.Electron.eta) > 1.566)) - ) & (events.Electron.cutBased > 3) - else: - elemask = (abs(events.Electron.eta) < 1.4442) | ( - (abs(events.Electron.eta) < 2.5) & (abs(events.Electron.eta) > 1.566) - ) + elemask = ( + (abs(events.Electron.eta) < 1.4442) + | ((abs(events.Electron.eta) < 2.5) & (abs(events.Electron.eta) > 1.566)) + ) & (events.Electron.cutBased > 3) return elemask def ele_mvatightid(events, campaign): - if "Run3" not in campaign: - elemask = ( - (abs(events.Electron.eta) < 1.4442) - | ((abs(events.Electron.eta) < 2.5) & (abs(events.Electron.eta) > 1.566)) - ) & (events.Electron.mvaFall17V2Iso_WP80 > 0.5) - else: - elemask = (abs(events.Electron.eta) < 1.4442) | ( - (abs(events.Electron.eta) < 2.5) & (abs(events.Electron.eta) > 1.566) - ) + elemask = ( + (abs(events.Electron.eta) < 1.4442) + | ((abs(events.Electron.eta) < 2.5) & (abs(events.Electron.eta) > 1.566)) + ) & (events.Electron.mvaIso_WP80 > 0.5) + return elemask diff --git a/src/BTVNanoCommissioning/workflows/BTA_producer.py b/src/BTVNanoCommissioning/workflows/BTA_producer.py index c31c2ea7..c61ec32e 100644 --- a/src/BTVNanoCommissioning/workflows/BTA_producer.py +++ b/src/BTVNanoCommissioning/workflows/BTA_producer.py @@ -441,10 +441,10 @@ def process_shift(self, events, shift_name): ) # genJet pT - genJetIdx = jet.genJetIdx.mask[ - (jet.genJetIdx >= ak.num(events.GenJet)) & (jet.genJetIdx < 0) - ] # in case the genJet index out of range - Jet["genpt"] = ak.fill_none(events.GenJet[genJetIdx].pt, -1) + genJetIdx = ak.where( + jet.genJetIdx < ak.num(events.GenJet), jet.genJetIdx, zeros + ) # in case the genJet index out of range + Jet["genpt"] = ak.where(genJetIdx != -1, events.GenJet[genJetIdx].pt, -99) # gen-level jet cleaning aginst prompt leptons genlep_prompt = genlep[(Genlep.mother != 0) & (Genlep.mother % 10 == 0)] diff --git a/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py b/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py index 44affbf2..f60e00aa 100644 --- a/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py +++ b/src/BTVNanoCommissioning/workflows/BTA_ttbar_producer.py @@ -423,10 +423,10 @@ def process_shift(self, events, shift_name): ) # genJet pT - genJetIdx = jet.genJetIdx.mask[ - (jet.genJetIdx >= ak.num(events.GenJet)) & (jet.genJetIdx < 0) - ] # in case the genJet index out of range - Jet["genpt"] = ak.fill_none(events.GenJet[genJetIdx].pt, -1) + genJetIdx = ak.where( + jet.genJetIdx < ak.num(events.GenJet), jet.genJetIdx, zeros + ) # in case the genJet index out of range + Jet["genpt"] = ak.where(genJetIdx != -1, events.GenJet[genJetIdx].pt, -99) # gen-level jet cleaning aginst prompt leptons genlep_prompt = genlep[(Genlep.mother != 0) & (Genlep.mother % 10 == 0)] diff --git a/src/BTVNanoCommissioning/workflows/__init__.py b/src/BTVNanoCommissioning/workflows/__init__.py index b4be9972..95a7a2e5 100644 --- a/src/BTVNanoCommissioning/workflows/__init__.py +++ b/src/BTVNanoCommissioning/workflows/__init__.py @@ -51,9 +51,9 @@ NanoProcessor as BTA_ttbar_processor, ) -# from BTVNanoCommissioning.workflows.example import ( -# NanoProcessor as ExampleProcessor, -# ) +from BTVNanoCommissioning.workflows.example import ( + NanoProcessor as ExampleProcessor, +) # FIXME - make names more systematic? workflows = {} @@ -79,7 +79,7 @@ workflows["ectag_DY_sf"] = CTAGeDYValidSFProcessor # Tutorial -# workflows["example"] = ExampleProcessor +workflows["example"] = ExampleProcessor # BTA producers workflows["BTA"] = BTA_processor workflows["BTA_addPFMuons"] = partial(BTA_processor, addPFMuons=True) diff --git a/src/BTVNanoCommissioning/workflows/example.py b/src/BTVNanoCommissioning/workflows/example.py index dcda3b7e..ec989624 100644 --- a/src/BTVNanoCommissioning/workflows/example.py +++ b/src/BTVNanoCommissioning/workflows/example.py @@ -147,16 +147,28 @@ def process_shift(self, events, shift_name): ## Muon cuts # muon twiki: https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideMuonIdRun2 - ## Electron cuts - # electron twiki: https://twiki.cern.ch/twiki/bin/viewauth/CMS/CutBasedElectronIdentificationRun2 + muon_sel = (events.Muon.pt > 15) & (mu_idiso(events, self._campaign)) + event_mu = events.Muon[muon_sel] + req_muon = ak.num(event_mu.pt) == 1 - ## Jet cuts + # Electron cut + ele_sel = (events.Electron.pt > 15) & (ele_cuttightid(events, self._campaign)) + event_e = events.Electron[ele_sel] + req_ele = ak.num(event_e.pt) == 1 + + req_leadlep_pt = ak.any(event_e.pt > 25, axis=-1) | ak.any( + event_mu.pt > 25, axis=-1 + ) + ## Jet cuts + jet_sel = (events.Jet.pt > 30) & (jet_id(events, self._campaign)) + event_jet = events.Jet[jet_sel] + req_jet = ak.num(event_jet) >= 1 ## Other cuts ## Apply all selections event_level = ( - req_trig & req_lumi # & req_muon & req_ele & req_jets & req_opposite_charge + req_trig & req_lumi & req_jet & req_muon & req_ele & req_leadlep_pt ) event_level = ak.fill_none(event_level, False) # Skip empty events @@ -166,9 +178,9 @@ def process_shift(self, events, shift_name): #################### # Selected objects # : Pruned objects with reduced event_level #################### - smu = events.Muon[event_level] - sele = events.Electron[event_level] - sjets = events.Jet[event_level] + smu = event_mu[event_level] + sjets = event_jet[event_level] + sele = event_e[event_level] #################### # Weight & Geninfo # : Add weight to selected events #################### @@ -230,17 +242,25 @@ def process_shift(self, events, shift_name): if syst == "nominal" or syst == shift_name else weights.weight(modifier=syst) ) # shift up/down for weight systematics - output["$VAR"].fill() + # fill the histogram (check axis defintion in histogrammer and following the order) + output["jet_pt"].fill( + syst, flatten(genflavor[:, 0]), flatten(sjets[:, 0].pt), weight=weight + ) + output["mu_pt"].fill(syst, flatten(smu[:, 0].pt), weight=weight) + output["dr_mujet"].fill( + syst, + flatten(genflavor[:, 0]), # the fill content should always flat arrays + flatten(sjets[:, 0].delta_r(smu[:, 0])), + weight=weight, + ) ####################### # Create root files # : Save arrays in to root file, keep axis structure ####################### if self.isArray: # Keep the structure of events and pruned the object size pruned_ev = events[event_level] # pruned events - pruned_ev.Electron = ( - sele # replace electron collections with selected electron - ) + pruned_ev.Muon = smu # replace muon collections with selected muon # Add custom variables if not isRealData: pruned_ev["weight"] = weights.weight() @@ -252,7 +272,7 @@ def process_shift(self, events, shift_name): out_branch = np.setdiff1d( np.array(pruned_ev.fields), np.array(events.fields) ) # stored customed variables - out_branch = np.append(out_branch, ["Jet_btagDeep*", "Electron_pt"]) + out_branch = np.append(out_branch, ["Jet_btagDeep*", "Muon_pt"]) # write to root files os.system(f"mkdir -p {self.name}/{dataset}") with uproot.recreate( From e0a6f8e391100ae80ff9a1273bad642f24cc5490 Mon Sep 17 00:00:00 2001 From: Congqiao Li Date: Tue, 17 Oct 2023 18:31:40 +0800 Subject: [PATCH 2/4] JP tagger recalculation (#77) * Adding JP tagger recalculation * Reconstruct JP calculation in columnar operations * Put JPCalibHandler to utils.correction --- metadata/test_bta_run3.json | 6 +- ...alibeHistoWrite_Data2022F_NANO130X_v1.root | Bin 0 -> 107427 bytes ...alibeHistoWrite_Data2022G_NANO130X_v1.root | Bin 0 -> 83030 bytes ...calibeHistoWrite_MC2022EE_NANO130X_v1.root | Bin 0 -> 84809 bytes ...alibeHistoWrite_Data2022F_NANO130X_v1.root | Bin 0 -> 107427 bytes ...alibeHistoWrite_Data2022G_NANO130X_v1.root | Bin 0 -> 83030 bytes ...calibeHistoWrite_MC2022EE_NANO130X_v1.root | Bin 0 -> 84809 bytes .../utils/AK4_parameters.py | 11 + src/BTVNanoCommissioning/utils/correction.py | 128 +++++ .../workflows/BTA_producer.py | 494 +++++++++++------- 10 files changed, 447 insertions(+), 192 deletions(-) create mode 100644 src/BTVNanoCommissioning/data/JPCalib/Summer22EERun3/calibeHistoWrite_Data2022F_NANO130X_v1.root create mode 100644 src/BTVNanoCommissioning/data/JPCalib/Summer22EERun3/calibeHistoWrite_Data2022G_NANO130X_v1.root create mode 100644 src/BTVNanoCommissioning/data/JPCalib/Summer22EERun3/calibeHistoWrite_MC2022EE_NANO130X_v1.root create mode 100644 src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022F_NANO130X_v1.root create mode 100644 src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_Data2022G_NANO130X_v1.root create mode 100644 src/BTVNanoCommissioning/data/JPCalib/Summer22Run3/calibeHistoWrite_MC2022EE_NANO130X_v1.root diff --git a/metadata/test_bta_run3.json b/metadata/test_bta_run3.json index bb9b4122..426670d9 100644 --- a/metadata/test_bta_run3.json +++ b/metadata/test_bta_run3.json @@ -2,7 +2,7 @@ "JetMET_Run2022F-PromptReco-v1":[ "root://cceos.ihep.ac.cn:1094//eos/ihep/cms/store/user/coli/PFNano_Run3/data_2022FG_prompt/JetMET/Run2022F-PromptReco-v1_BTV_Run3_2022_Comm_v2/230808_133855/0000/nano_data2022FG_687.root" ], - "TTto4Q_TuneCP5_13p6TeV_powheg-pythia8":[ - 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