Newer
Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
###############################################################################
# (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