Revert "Mwaterla large seeding window"

This reverts merge request !2311

VPHitEfficiencies/info.yaml

-defaults:
-  application: "Moore/v55r17"
-  inform:
-    - mark.waterlaat@cern.ch
-  wg: Calib
-
-{%- set samples = [
-    "95100000/TURCAL_RAWBANKS.DST", 
-    "95100000/TURCAL_PERSISTRECORAWBANKS.DST",
-    "96000000/NOBIAS.DST",
-] %}
-
-# Split the jobs into batches of 42 sensors to reduce the memory usage
-{%- set sensor_step = 42 %}
-{%- set n_sensors = 208 %}
-
-{%- for filetype in samples %}
-{%- for begin_sensor in range(0, n_sensors, sensor_step) %}
-
-{%- set stream = filetype.split("/")[1].rsplit(".", 1)[0] %}
-{#- Subtract one as the sensors are zero indexed #}
-{%- set end_sensor = [begin_sensor + sensor_step, n_sensors] | min - 1 %}
-
-MagUp_Collision24_{{ stream }}_{{ begin_sensor }}-{{ end_sensor }}:
-  input:
-    bk_query: "/LHCb/Collision24/Beam6800GeV-VeloClosed-MagUp/RealData/Sprucing24c2/{{ filetype }}"
-    keep_running: false
-    runs: 
-      - 303092:304604
-    dq_flags:
-      - OK
-  output: VPHITEFFICIENCIES.ROOT
-  options: 
-    entrypoint: VPHitEfficiencies.moore_data:main
-    extra_args:
-      - {{ stream | lower }}
-      - {{ begin_sensor }}
-      - {{ end_sensor }}
-    extra_options:
-      input_type: ROOT
-      input_raw_format: 0.5
-      evt_max: -1
-      output_type: "ROOT"
-      simulation: False
-      data_type: "Upgrade"
-      geometry_version: "run3/2024.Q1.2-v00.00"
-      conditions_version: "master"
-{%- endfor %}
-{%- endfor %}

VPHitEfficiencies/moore_data.py

-###############################################################################
-# (c) Copyright 2023 CERN for the benefit of the LHCb Collaboration           #
-#                                                                             #
-# This software is distributed under the terms of the GNU General Public      #
-# Licence version 3 (GPL Version 3), copied verbatim in the file "COPYING".   #
-#                                                                             #
-# In applying this licence, CERN does not waive the privileges and immunities #
-# granted to it by virtue of its status as an Intergovernmental Organization  #
-# or submit itself to any jurisdiction.                                       #
-###############################################################################
-import argparse
-
-from Moore import run_reconstruction, Options
-from Moore.config import Reconstruction
-from PyConf.Algorithms import (
-    fromPrVeloTracksV1TracksMerger,  
-    VPHitEfficiencyMonitor,
-    VeloRetinaClusterTrackingSIMDFull,
-    TrackEventFitter,
-    TrackListRefiner,
-    TrackSelectionToContainer,
-    DeterministicPrescaler, 
-)
-from PyConf.Tools import (
-    TrackMasterFitter,
-    TrackInterpolator,
-    TrackLinearExtrapolator,
-)
-from PyConf.application import( 
-    default_raw_banks, 
-    make_odin, 
-    default_raw_event, 
-)
-from RecoConf.legacy_rec_hlt1_tracking import (
-    make_reco_pvs,
-    make_PatPV3DFuture_pvs,
-    make_RetinaClusters,
-    get_default_ut_clusters, 
-    get_global_clusters_on_track_tool_only_velo, 
-)
-from RecoConf.hlt2_tracking import (
-    TrackBestTrackCreator,
-    make_PrStoreUTHit_empty_hits,
-    get_global_measurement_provider,
-    get_track_master_fitter, 
-)
-from RecoConf.decoders import default_VeloCluster_source
-from PyConf import configurable
-import Functors as F 
-
-make_reco_pvs.global_bind(make_pvs_from_velo_tracks=make_PatPV3DFuture_pvs)
-
-velo_clusters_algorithm_light = make_RetinaClusters
-velo_tracking_algorithm = VeloRetinaClusterTrackingSIMDFull
-bankType = "VPRetinaCluster"
-default_VeloCluster_source.global_bind(bank_type="VPRetinaCluster")
-
-# get TMF
-def get_my_track_master_fitter():
-    with TrackMasterFitter.bind(
-            MaxNumberOutliers=2,
-            NumberFitIterations=10,
-            FastMaterialApproximation=True):
-        return get_track_master_fitter(
-            clusters_on_track_tool=get_global_clusters_on_track_tool_only_velo)
-
-@configurable
-def make_my_sequence(
-    *, 
-    beginSensor = 0, 
-    endSensor = 1, 
-    ):  
-    data = []
-
-    filterList = []
-    
-    prescaler = DeterministicPrescaler(
-            name="MyEventPrescaler",
-            AcceptFraction=float(
-                0.1, 
-            ),  # make sure prescale is not interpreted as 'int' because it changes the hash computation...
-            SeedName="KSPrescaler",
-            ODINLocation=make_odin()) 
-    
-    filterList += [prescaler]
-   
-    with get_default_ut_clusters.bind(disable_ut=True),\
-         get_global_measurement_provider.bind(
-            ignoreUT=True,
-            velo_hits=velo_clusters_algorithm_light,
-            ignoreFT=True,
-            ignoreMuon=True,
-            ut_hits=make_PrStoreUTHit_empty_hits):
-            
-        for sensor_under_study in range(beginSensor, endSensor + 1):
-            
-            my_mask = [sensor in [sensor_under_study]
-                    for sensor in range(208)] 
-            
-            vpClustering = velo_tracking_algorithm(
-                RawBanks=default_raw_banks(bankType),
-                SensorMasks=tuple(my_mask),
-                MaxScatterSeeding=0.1,
-                MaxScatterForwarding=0.1,
-                MaxScatter3hits=0.02,
-                SeedingWindow=10, 
-                SkipForward=8)
-            
-            clusters = vpClustering.HitsLocation
-            vpTracks = vpClustering.TracksLocation
-            vpTracks_backwards = vpClustering.TracksBackwardLocation
-
-            vpTracks_v1 = fromPrVeloTracksV1TracksMerger(  # converts Pr -> v1 tracks and merges forward/backward
-                InputTracksLocation1=vpTracks,
-                InputTracksLocation2=vpTracks_backwards, 
-                TrackAddClusterTool=get_global_clusters_on_track_tool_only_velo(),
-                ).OutputTracksLocation
-
-            my_TrackMasterFitter = get_my_track_master_fitter()
-
-            fittedTracks = TrackEventFitter(
-                TracksInContainer=vpTracks_v1,
-                Fitter=(my_TrackMasterFitter),
-                MaxChi2DoF=2.8,
-                name="TrackEventFitter_{hash}").TracksOutContainer
-
-            bestTracks = TrackBestTrackCreator(
-                name="TrackBestTrackCreator_{hash}",
-                TracksInContainers=[fittedTracks],
-                DoNotRefit=True,
-                AddGhostProb=False,
-                FitTracks=False,
-                MaxChi2DoF=2.8,
-            ).TracksOutContainer
-
-            tracks_selection = TrackListRefiner(
-            inputLocation=bestTracks,
-            Code=F.require_all(
-                F.NVPHITS >= 3,
-                F.ETA >= 1.3, 
-                F.P >= 0,  # Here to make it explicit
-                F.PT >= 0)).outputLocation
-            
-            filtered_tracks = TrackSelectionToContainer(
-                name="TrackSelectionToContainer_{hash}",
-                InputLocation=tracks_selection).OutputLocation
-            
-            trackExtrapolator = TrackLinearExtrapolator()
-            trackInterpolator = TrackInterpolator(Extrapolator=trackExtrapolator)
-            
-            my_vp_efficiency_alg = VPHitEfficiencyMonitor(
-                name="VPHitEfficiencyMonitorSensor_{0}".format(
-                    sensor_under_study),
-                TrackLocation=filtered_tracks,
-                PrVPHitsLocation=clusters,
-                UseAandCSide=False, 
-                MaxTrackCov=100.0,
-                SensorUnderStudy=sensor_under_study,
-                Interpolator=trackInterpolator,
-                Extrapolator=trackExtrapolator,
-                ExpertMode=False, 
-                ResidualTolerance=0.4,  
-            )
-            data += [my_vp_efficiency_alg]
-
-    return Reconstruction('hlt2_hit_eff_reco', data, filters = filterList)
-
-from PyConf.application import default_raw_event
-
-
-def main(options: Options, *args):
-    parser = argparse.ArgumentParser(description="Moore HLT2 Hit Efficiency")
-    parser.add_argument("stream", choices=["turcal_rawbanks", "turcal_persistrecorawbanks", "nobias"])
-    parser.add_argument("begin_sensor", type=int)
-    parser.add_argument("end_sensor", type=int)
-    args = parser.parse_args(args)
-
-    # DO NOT COPY THIS THIS WITHOUT CONSULTING DPA-WP2 FIRST
-    # This is a horrible hack to make it so the histograms are written to the
-    # file that is expected by Analysis Productions. Ideally we should have a
-    # better way of managing output/ntuples/histograms but it's currently an
-    # extremely niche use case.
-    
-    raw_options = options.dict()
-    raw_options["histo_file"] = raw_options["ntuple_file"]
-    raw_options["ntuple_file"] = None
-    options = Options(**raw_options)
-    # DO NOT COPY THIS THIS WITHOUT CONSULTING DPA-WP2 FIRST
-
-    default_raw_event.global_bind(stream=args.stream)
-    make_my_sequence.global_bind(beginSensor=args.begin_sensor, endSensor=args.end_sensor)
-    config = run_reconstruction(options, make_my_sequence)
-    return config