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27
cmsdb/campaigns/run3_2022_postEE_v2_nano_tau_v14/__init__.py
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from order import Campaign | ||
# | ||
# campaign | ||
# | ||
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campaign_run3_2022_postEE_v2_nano_tau_v14 = Campaign( | ||
name="run3_2022_postEE_v2_nano_tau_v14", | ||
id=20221444, # run 2 year 2022 ver 14 #33 is just for separation between different configs | ||
ecm=13.6, | ||
bx=25, | ||
aux={ | ||
"tier": "NanoAOD", | ||
"year": 2022, | ||
"version": 14, | ||
"tag": "postEE", | ||
"custom": { | ||
"name": "run3_2022_postEE_v2_nano_tau_v14", | ||
"creator": "desy", | ||
"location": "/eos/cms/store/group/phys_higgs/HLepRare/skim_2024_v2/Run3_2022EE", | ||
}, | ||
}, | ||
) | ||
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import cmsdb.campaigns.run3_2022_postEE_v2_nano_tau_v14.ewk | ||
import cmsdb.campaigns.run3_2022_postEE_v2_nano_tau_v14.data | ||
import cmsdb.campaigns.run3_2022_postEE_v2_nano_tau_v14.top | ||
#import cmsdb.campaigns.run3_2022_preEE_nano_tau_v12.signal |
104 changes: 104 additions & 0 deletions
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cmsdb/campaigns/run3_2022_postEE_v2_nano_tau_v14/data.py
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""" | ||
CMS TAUPOG skimmed datasets from the 2022 data-taking campaign | ||
""" | ||
import cmsdb.processes as procs | ||
from cmsdb.campaigns.run3_2022_postEE_v2_nano_tau_v14 import campaign_run3_2022_postEE_v2_nano_tau_v14 as cpn | ||
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cpn.add_dataset( | ||
name="data_e_E", | ||
id=220146437, | ||
is_data=True, | ||
processes=[procs.data_e], | ||
keys=["/EGamma_Run2022E",], | ||
n_files=78, | ||
n_events=148661479, | ||
aux={"era": "E"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_e_F", | ||
id=220192395, | ||
is_data=True, | ||
processes=[procs.data_e], | ||
keys=["/EGamma_Run2022F",], | ||
n_files=254, | ||
n_events=464077454, | ||
aux={"era": "F"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_e_G", | ||
id=220174572, | ||
is_data=True, | ||
processes=[procs.data_e], | ||
keys=["/EGamma_Run2022G",], | ||
n_files=43, | ||
n_events=76724231, | ||
aux={"era": "G"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_tau_E", | ||
id=220188922, | ||
is_data=True, | ||
processes=[procs.data_tau], | ||
keys=["/Tau_Run2022E",], | ||
n_files=25, | ||
n_events=30520481, | ||
aux={"era": "E"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_tau_F", | ||
id=220186813, | ||
is_data=True, | ||
processes=[procs.data_tau], | ||
keys=["/Tau_Run2022F",], | ||
n_files=95, | ||
n_events=115472800, | ||
aux={"era": "F"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_tau_G", | ||
id=220169353, | ||
is_data=True, | ||
processes=[procs.data_tau], | ||
keys=["/Tau_Run2022G",], | ||
n_files=15, | ||
n_events=17838713, | ||
aux={"era": "G"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_mu_E", | ||
id=220134795, | ||
is_data=True, | ||
processes=[procs.data_mu], | ||
keys=["/Muon_Run2022E",], | ||
n_files=64, | ||
n_events=141480973, | ||
aux={"era": "E"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_mu_F", | ||
id=220132955, | ||
is_data=True, | ||
processes=[procs.data_mu], | ||
keys=["/Muon_Run2022F",], | ||
n_files=215, | ||
n_events=449185088, | ||
aux={"era": "F"}, | ||
) | ||
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cpn.add_dataset( | ||
name="data_mu_G", | ||
id=220118007, | ||
is_data=True, | ||
processes=[procs.data_mu], | ||
keys=["/Muon_Run2022G",], | ||
n_files=38, | ||
n_events=76689396, | ||
aux={"era": "G"}, | ||
) |
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cmsdb/campaigns/run3_2022_postEE_v2_nano_tau_v14/ewk.py
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""" | ||
CMS TAUPOG skimmed datasets from the 2022 data-taking campaign | ||
""" | ||
import cmsdb.processes as procs | ||
from cmsdb.campaigns.run3_2022_postEE_v2_nano_tau_v14 import campaign_run3_2022_postEE_v2_nano_tau_v14 as cpn | ||
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cpn.add_dataset( | ||
name="wj_incl_madgraph", | ||
id=220113368, | ||
is_mc=True, | ||
processes=[procs.wj_incl], | ||
keys=["/WtoLNu_madgraphMLM","/WtoLNu_madgraphMLM_ext1",], | ||
n_files=344, | ||
n_events=683448011, | ||
) | ||
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cpn.add_dataset( | ||
name="dy_lep_madgraph", | ||
id=220154049, | ||
is_mc=True, | ||
processes=[procs.dy_lep], | ||
keys=["/DYto2L_M_50_madgraphMLM","/DYto2L_M_50_madgraphMLM_ext1",], | ||
n_files=464, | ||
n_events=494841164, | ||
) | ||
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cpn.add_dataset( | ||
name="ww", | ||
id=220144633, | ||
is_mc=True, | ||
processes=[procs.ww], | ||
keys=["/WW",], | ||
n_files=34, | ||
n_events=53112080, | ||
) | ||
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cpn.add_dataset( | ||
name="wz", | ||
id=220150919, | ||
is_mc=True, | ||
processes=[procs.wz], | ||
keys=["/WZ",], | ||
n_files=17, | ||
n_events=26722782, | ||
) | ||
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cpn.add_dataset( | ||
name="zz", | ||
id=220134326, | ||
is_mc=True, | ||
processes=[procs.zz], | ||
keys=["/ZZ",], | ||
n_files=3, | ||
n_events=4043040, | ||
) | ||
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# cpn.add_dataset( | ||
# name="wj_1j_madgraph", | ||
# id=220110111, | ||
# is_mc=True, | ||
# processes=[procs.wj_1j], | ||
# keys=["/WtoLNu_1J_madgraphMLM",], | ||
# n_files=25, | ||
# n_events=42695566, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="wj_2j_madgraph", | ||
# id=220149908, | ||
# is_mc=True, | ||
# processes=[procs.wj_2j], | ||
# keys=["/WtoLNu_2J_madgraphMLM",], | ||
# n_files=29, | ||
# n_events=36349344, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="wj_3j_madgraph", | ||
# id=220119946, | ||
# is_mc=True, | ||
# processes=[procs.wj_3j], | ||
# keys=["/WtoLNu_3J_madgraphMLM",], | ||
# n_files=28, | ||
# n_events=27828446, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="wj_4j_madgraph", | ||
# id=220131835, | ||
# is_mc=True, | ||
# processes=[procs.wj_4j], | ||
# keys=["/WtoLNu_4J_madgraphMLM",], | ||
# n_files=7, | ||
# n_events=4906634, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="dy_lep_m10_50_madgraph", | ||
# id=220162390, | ||
# is_mc=True, | ||
# processes=[procs.dy_lep_m10_50], | ||
# keys=["/DYto2L_M_10to50_madgraphMLM",], | ||
# n_files=215, | ||
# n_events=520125461, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="dy_lep_m50_1j_madgraph", | ||
# id=220119413, | ||
# is_mc=True, | ||
# processes=[procs.dy_lep_m50_1j], | ||
# keys=["/DYto2L_M_50_1J_madgraphMLM",], | ||
# n_files=61, | ||
# n_events=48939365, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="dy_lep_m50_2j_madgraph", | ||
# id=220140739, | ||
# is_mc=True, | ||
# processes=[procs.dy_lep_m50_2j], | ||
# keys=["/DYto2L_M_50_2J_madgraphMLM",], | ||
# n_files=65, | ||
# n_events=49862030, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="dy_lep_m50_3j_madgraph", | ||
# id=220157082, | ||
# is_mc=True, | ||
# processes=[procs.dy_lep_m50_3j], | ||
# keys=["/DYto2L_M_50_3J_madgraphMLM",], | ||
# n_files=44, | ||
# n_events=28613025, | ||
# ) | ||
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# cpn.add_dataset( | ||
# name="dy_lep_m50_4j_madgraph", | ||
# id=220153531, | ||
# is_mc=True, | ||
# processes=[procs.dy_lep_m50_4j], | ||
# keys=["/DYto2L_M_50_4J_madgraphMLM",], | ||
# n_files=18, | ||
# n_events=9376714, | ||
# ) | ||
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|
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---|---|---|
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""" | ||
CMS TAUPOG skimmed datasets from the 2022 data-taking campaign | ||
""" | ||
import cmsdb.processes as procs | ||
from cmsdb.campaigns.run3_2022_postEE_v2_nano_tau_v14 import campaign_run3_2022_postEE_v2_nano_tau_v14 as cpn | ||
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cpn.add_dataset( | ||
name="h_ggf_htt_filtered", | ||
id=220136895, | ||
is_mc=True, | ||
processes=[procs.h_ggf_htt], | ||
keys=["/GluGluHTo2Tau_UncorrelatedDecay_Filtered",], | ||
n_files=32, | ||
n_events=21340204, | ||
) | ||
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cpn.add_dataset( | ||
name="h_ggf_htt_unfiltered", | ||
id=220178223, | ||
is_mc=True, | ||
processes=[procs.h_ggf_htt], | ||
keys=["/GluGluHTo2Tau_UncorrelatedDecay_UnFiltered",], | ||
n_files=1, | ||
n_events=499966, | ||
) |
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