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thesis tweaks plots

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cetin 2024-02-21 15:24:36 +01:00
parent 180f4d1a12
commit 2b8f238059
6 changed files with 21 additions and 3 deletions
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data_matching/result/Compare_BJpsi_default.root Normal file
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data_matching/result/Compare_BJpsi_default2filter.root Normal file
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data_matching/result/PrChecker_BJpsi_default.root Normal file
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data_matching/result/PrChecker_BJpsi_default2filter.root Normal file
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4
moore_options/get_calo_data.py
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@ -126,8 +126,8 @@ def standalone_hlt2_fastest_reco():
track_type: hlt2_tracks[track_type] for track_type in out_track_types["Best"]
}
# data = [calo_long, calo_matched_seeds, electron_matched_seeds, shower_matched_seeds]
data = [shower_matched_seeds]
data = [calo_long, calo_matched_seeds, electron_matched_seeds, shower_matched_seeds]
# data = [shower_matched_seeds]
types_and_locations_for_checkers = {
"Forward": hlt2_tracks["Forward"],
"Seed": hlt2_tracks["Seed"],

20
moore_options/get_calo_data_reproduce.py
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@ -43,15 +43,26 @@ def standalone_hlt2_fastest_reco():
hlt2_tracks = make_hlt2_tracks(light_reco=True, fast_reco=False, use_pr_kf=True)
digisEcal = make_digits(calo_raw_bank=False)["digitsEcal"]
ecalClusters = make_clusters(digisEcal)
tracks_v3, trackrels = convert_tracks_to_v3_from_v1(
hlt2_tracks["Seed"]["v1"],
track_types=["Ttrack"],
)
# track acceptances
tracks_incalo = make_acceptance(tracks_v3)
tcmatches = make_track_cluster_matching(ecalClusters, tracks_incalo)
PhElOutput = make_photons_and_electrons(
ecalClusters, tcmatches["combined"], make_all_pvs()["v3"]
)
photons = PhElOutput["photons"]
electrons = PhElOutput["electrons"]
eshower = make_trackbased_eshower(tracks_incalo, digisEcal)
tcmatches_e = make_track_electron_and_brem_matching(
tracks_incalo, tcmatches, digisEcal, electrons, photons
)
# should be best; shape of shower etc; E/p statt chi2; DLL even better? GET(1)
# Cut=F.FILTER(F.ALL)).Output
shower_matched_seeds = PrFilterTracks2ElectronShower(
@ -78,9 +89,16 @@ def standalone_hlt2_fastest_reco():
SeedTracksLocation=matched_seeds["v1"],
).OutputTracksLocation
out_track_types = get_default_out_track_types_for_light_reco()
best_tracks = {
track_type: hlt2_tracks[track_type] for track_type in out_track_types["Best"]
}
data = [calo_long, shower_matched_seeds]
types_and_locations_for_checkers = {
"Match": match_tracks,
"Forward": hlt2_tracks["Forward"],
"Seed": hlt2_tracks["Seed"],
"Match": match_tracks, # hlt2_tracks["Match"],
}
data += get_track_checkers(types_and_locations_for_checkers)
# data += get_fitted_tracks_checkers(best_tracks)