122 lines
3.6 KiB
Python
122 lines
3.6 KiB
Python
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"""
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This set of options is used for reconstruction development purposes,
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and assumes that the input contains MCHits (i.e. is of `Exended`
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DST/digi type).
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"""
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# flake8: noqaq
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from Moore import options, run_reconstruction
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from Moore.config import Reconstruction
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from PyConf.Algorithms import PrKalmanFilter
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from PyConf.Tools import TrackMasterExtrapolator
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from RecoConf.mc_checking import (
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check_track_resolution,
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check_tracking_efficiency,
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get_mc_categories,
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get_hit_type_mask,
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make_links_lhcbids_mcparticles_tracking_system,
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make_links_tracks_mcparticles,
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)
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from RecoConf.core_algorithms import make_unique_id_generator
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from RecoConf.hlt2_tracking import make_hlt2_tracks
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from RecoConf.hlt1_tracking import (
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make_VeloClusterTrackingSIMD_hits,
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make_PrStorePrUTHits_hits,
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make_PrStoreSciFiHits_hits,
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get_global_materiallocator,
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)
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# sample = "Bd2KstEE_MD"
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# sample = "Bd2KstEE_MU"
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# sample = "Bs2JpsiPhi_MD"
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# sample = "Bs2JpsiPhi_MU"
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sample = "Bs2PhiPhi_MD"
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# sample = "Bs2PhiPhi_MU"
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stack = ""
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options.evt_max = 5000
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options.first_evt = 0 if stack else 5000
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options.ntuple_file = f"data/resolutions_and_effs_{sample}{stack}.root"
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options.input_type = "ROOT"
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options.set_input_and_conds_from_testfiledb(f"upgrade_sim10_Up08_Digi15_{sample}")
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def run_tracking_resolution():
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tracks = make_hlt2_tracks(light_reco=True, fast_reco=False, use_pr_kf=True)
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fitted_forward_tracks = PrKalmanFilter(
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Input=tracks["Forward"]["Pr"],
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MaxChi2=2.8,
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MaxChi2PreOutlierRemoval=20,
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HitsVP=make_VeloClusterTrackingSIMD_hits(),
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HitsUT=make_PrStorePrUTHits_hits(),
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HitsFT=make_PrStoreSciFiHits_hits(),
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ReferenceExtrapolator=TrackMasterExtrapolator(
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MaterialLocator=get_global_materiallocator(),
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),
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InputUniqueIDGenerator=make_unique_id_generator(),
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).OutputTracks
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links_to_lhcbids = make_links_lhcbids_mcparticles_tracking_system()
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links_to_forward = make_links_tracks_mcparticles(
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InputTracks=tracks["Forward"],
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LinksToLHCbIDs=links_to_lhcbids,
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)
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links_to_match = make_links_tracks_mcparticles(
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InputTracks=tracks["Match"],
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LinksToLHCbIDs=links_to_lhcbids,
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)
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links_to_best = make_links_tracks_mcparticles(
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InputTracks=tracks["BestLong"],
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LinksToLHCbIDs=links_to_lhcbids,
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)
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res_checker_forward = check_track_resolution(tracks["Forward"], suffix="Forward")
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res_checker_best_long = check_track_resolution(
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tracks["BestLong"],
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suffix="BestLong",
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)
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res_checker_best_forward = check_track_resolution(
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dict(v1=fitted_forward_tracks),
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suffix="BestForward",
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)
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eff_checker_forward = check_tracking_efficiency(
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"Forward",
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tracks["Forward"],
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links_to_forward,
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links_to_lhcbids,
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get_mc_categories("Forward"),
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get_hit_type_mask("Forward"),
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)
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eff_checker_match = check_tracking_efficiency(
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"Match",
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tracks["Match"],
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links_to_match,
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links_to_lhcbids,
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get_mc_categories("Match"),
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get_hit_type_mask("Match"),
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)
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eff_checker_best_long = check_tracking_efficiency(
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"BestLong",
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tracks["BestLong"],
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links_to_best,
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links_to_lhcbids,
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get_mc_categories("BestLong"),
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get_hit_type_mask("BestLong"),
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)
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data = [
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res_checker_forward,
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res_checker_best_long,
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res_checker_best_forward,
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eff_checker_forward,
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eff_checker_match,
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eff_checker_best_long,
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]
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return Reconstruction("run_tracking_debug", data)
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run_reconstruction(options, run_tracking_resolution)
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