Belle II Software development
BasicTrackVarSet.cc
1/**************************************************************************
2 * basf2 (Belle II Analysis Software Framework) *
3 * Author: The Belle II Collaboration *
4 * *
5 * See git log for contributors and copyright holders. *
6 * This file is licensed under LGPL-3.0, see LICENSE.md. *
7 **************************************************************************/
8#include <tracking/trackFindingCDC/filters/track/BasicTrackVarSet.h>
9
10#include <tracking/trackingUtilities/eventdata/tracks/CDCTrack.h>
11
12#include <tracking/trackingUtilities/eventdata/hits/CDCWireHit.h>
13#include <tracking/trackingUtilities/eventdata/trajectories/CDCTrajectory3D.h>
14#include <tracking/trackingUtilities/eventdata/trajectories/CDCTrajectory2D.h>
15#include <tracking/trackingUtilities/eventdata/trajectories/CDCTrajectorySZ.h>
16
17#include <tracking/trackingUtilities/numerics/ToFinite.h>
18
19#include <tracking/trackingUtilities/utilities/Algorithms.h>
20#include <tracking/trackingUtilities/utilities/Functional.h>
21#include <numeric>
22#include <set>
23
24#include <cdc/dataobjects/CDCHit.h>
25
26using namespace Belle2;
27using namespace CDC;
28using namespace TrackFindingCDC;
29using namespace TrackingUtilities;
30
32{
33 if (not track) return false;
34
35 if (track->empty()) {
36 return false;
37 }
38
39 // use boost accumulators, which lazily provide different statistics (mean, variance, ...) for the
40 // data that they accumulate (i.e. are "filled" with).
41 statistics_accumulator drift_length_acc; /* correlated to actual distance from hit to wire*/
42 statistics_accumulator adc_acc; /* integrated charge over the cell*/
43 statistics_accumulator empty_s_acc; /* gap within the track?!*/
44 statistics_accumulator tot_acc; /* time over threshold */
45 /* continuous layer number [from 0 to 55] (not to be distinguished from SuperLayer [from 0 to 8] or Layer (within SuperLayer, so from [0 to 7]) */
46 statistics_accumulator cont_layer_acc;
47 statistics_accumulator super_layer_acc;
48
49 unsigned int size = track->size();
50
51 std::vector<unsigned int> cont_layer;
52 std::vector<unsigned int> super_layer;
53 // Fill accumulators with ADC and drift circle information
54 for (const CDCRecoHit3D& recoHit : *track) {
55 drift_length_acc(recoHit.getWireHit().getRefDriftLength());
56 adc_acc(static_cast<unsigned int>(recoHit.getWireHit().getHit()->getADCCount()));
57 tot_acc(static_cast<unsigned int>(recoHit.getWireHit().getHit()->getTOT()));
58 cont_layer_acc(static_cast<unsigned int>(recoHit.getWireHit().getHit()->getICLayer()));
59 super_layer_acc(static_cast<unsigned int>(recoHit.getWireHit().getISuperLayer()));
60 cont_layer.push_back(static_cast<unsigned int>(recoHit.getWireHit().getHit()->getICLayer()));
61 super_layer.push_back(static_cast<unsigned int>(recoHit.getWireHit().getISuperLayer()));
62 }
63
64 // extract wanted quantities from layers
65 unsigned int cont_layer_first = cont_layer.front();
66 unsigned int cont_layer_last = cont_layer.back();
67 unsigned int cont_layer_min = *std::min_element(cont_layer.begin(), cont_layer.end());
68 unsigned int cont_layer_max = *std::max_element(cont_layer.begin(), cont_layer.end());
69 unsigned int cont_layer_count = std::set<unsigned int>(cont_layer.begin(), cont_layer.end()).size();
70 double cont_layer_occupancy = (double)cont_layer_count / (double)(cont_layer_max - cont_layer_min +
71 1); // +1 b/c the first layer should also be counted
72 unsigned int super_layer_first = super_layer.front();
73 unsigned int super_layer_last = super_layer.back();
74 unsigned int super_layer_min = *std::min_element(super_layer.begin(), super_layer.end());
75 unsigned int super_layer_max = *std::max_element(super_layer.begin(), super_layer.end());
76 unsigned int super_layer_count = std::set<unsigned int>(super_layer.begin(), super_layer.end()).size();
77 double super_layer_occupancy = (double)super_layer_count / (double)(super_layer_max - super_layer_min + 1);
78
79 double hits_per_layer = (double)size / (double)cont_layer_count;
80
81 // Extract empty_s (ArcLength2D gap) information
82 double s_range = track->back().getArcLength2D() - track->front().getArcLength2D();
83 double avg_hit_dist = s_range / (double)cont_layer_count;
84
85 // fill a vector with all 2D arc lengths in track
86 std::vector<double> arc_lengths;
87 auto get_arc_length = [](const CDCRecoHit3D & recoHit) { return recoHit.getArcLength2D(); };
88 std::transform(begin(*track), end(*track), back_inserter(arc_lengths), get_arc_length);
89 // Remove all NAN elements. For some reason, last hit in track is sometimes NAN
90 erase_remove_if(arc_lengths, IsNaN());
91
92 // calculate gaps in arc length s between adjacent hits
93 // beware: first element not a difference but mapped onto itself, empty_s_gaps[0] = arc_lengths[0]
94 if (arc_lengths.size() > 1) {
95 std::vector<double> empty_s_gaps;
96 std::adjacent_difference(begin(arc_lengths), end(arc_lengths), back_inserter(empty_s_gaps));
97
98 // Wrap a reference to empty_s_acc in a lambda, b/c it is passed by value to the following
99 // for_each. If used directly, only a copy would filled in the for_each.
100 auto empty_s_acc_ref = [&empty_s_acc](double s) { empty_s_acc(s); };
101 // start filling accumulator with hit gaps, but skip first which is not a difference
102 std::for_each(next(begin(empty_s_gaps)), end(empty_s_gaps), empty_s_acc_ref);
103 }
104
105 unsigned int empty_s_size = bacc::count(empty_s_acc);
106
107 // Overwrite boost-accumulator behavior for containers with 0 or 1 elements
108 // Set variances containers with for 0/1 elements to -1 (boost default: nan/0 respectively)
109 double drift_length_variance = -1;
110 double adc_variance = -1;
111 double tot_variance = -1;
112 double cont_layer_variance = -1;
113 double super_layer_variance = -1;
114 if (size > 1) {
115 // for more than two elements, calculate variance with bessel correction
116 double bessel_corr = (double)size / (size - 1.0);
117 drift_length_variance = std::sqrt(bacc::variance(drift_length_acc) * bessel_corr);
118 adc_variance = std::sqrt(bacc::variance(adc_acc) * bessel_corr);
119 tot_variance = std::sqrt(bacc::variance(tot_acc) * bessel_corr);
120 cont_layer_variance = std::sqrt(bacc::variance(cont_layer_acc) * bessel_corr);
121 super_layer_variance = std::sqrt(bacc::variance(super_layer_acc) * bessel_corr);
122 }
123 double empty_s_variance = -1;
124 if (empty_s_size > 1) {
125 double empty_s_bessel_corr = (double)empty_s_size / (empty_s_size - 1.0);
126 empty_s_variance = std::sqrt(bacc::variance(empty_s_acc) * empty_s_bessel_corr);
127 }
128
129 const CDCTrajectory3D& trajectory3D = track->getStartTrajectory3D();
130 const CDCTrajectory2D& trajectory2D = trajectory3D.getTrajectory2D();
131 const CDCTrajectorySZ& trajectorySZ = trajectory3D.getTrajectorySZ();
132
133 var<named("pt")>() = toFinite(trajectory2D.getAbsMom2D(), 0);
134 var<named("size")>() = size;
135 var<named("hits_per_layer")>() = hits_per_layer;
136
137 var<named("sz_slope")>() = toFinite(trajectorySZ.getTanLambda(), 0);
138 var<named("z0")>() = toFinite(trajectorySZ.getZ0(), 0);
139 var<named("s_range")>() = toFinite(s_range, 0);
140 var<named("avg_hit_dist")>() = toFinite(avg_hit_dist, 0);
141 var<named("has_matching_segment")>() = track->getHasMatchingSegment();
142
143 var<named("cont_layer_mean")>() = toFinite(bacc::mean(cont_layer_acc), 0);
144 var<named("cont_layer_variance")>() = toFinite(cont_layer_variance, 0);
145 var<named("cont_layer_max")>() = toFinite(cont_layer_max, 0);
146 var<named("cont_layer_min")>() = toFinite(cont_layer_min, 0);
147 var<named("cont_layer_first")>() = toFinite(cont_layer_first, 0);
148 var<named("cont_layer_last")>() = toFinite(cont_layer_last, 0);
149 var<named("cont_layer_max_vs_last")>() = toFinite(cont_layer_max - cont_layer_last, 0);
150 var<named("cont_layer_first_vs_min")>() = toFinite(cont_layer_first - cont_layer_min, 0);
151 var<named("cont_layer_count")>() = toFinite(cont_layer_count, 0);
152 var<named("cont_layer_occupancy")>() = toFinite(cont_layer_occupancy, 0);
153
154 var<named("super_layer_mean")>() = toFinite(bacc::mean(super_layer_acc), 0);
155 var<named("super_layer_variance")>() = toFinite(super_layer_variance, 0);
156 var<named("super_layer_max")>() = toFinite(super_layer_max, 0);
157 var<named("super_layer_min")>() = toFinite(super_layer_min, 0);
158 var<named("super_layer_first")>() = toFinite(super_layer_first, 0);
159 var<named("super_layer_last")>() = toFinite(super_layer_last, 0);
160 var<named("super_layer_max_vs_last")>() = toFinite(super_layer_max - super_layer_last, 0);
161 var<named("super_layer_first_vs_min")>() = toFinite(super_layer_first - super_layer_min, 0);
162 var<named("super_layer_count")>() = toFinite(super_layer_count, 0);
163 var<named("super_layer_occupancy")>() = toFinite(super_layer_occupancy, 0);
164
165 var<named("drift_length_mean")>() = toFinite(bacc::mean(drift_length_acc), 0);
166 var<named("drift_length_variance")>() = toFinite(drift_length_variance, 0);
167 var<named("drift_length_max")>() = toFinite(bacc::max(drift_length_acc), 0);
168 var<named("drift_length_min")>() = toFinite(bacc::min(drift_length_acc), 0);
169 var<named("drift_length_sum")>() = toFinite(bacc::sum(drift_length_acc), 0);
170
171 var<named("adc_mean")>() = toFinite(bacc::mean(adc_acc), 0);
172 var<named("adc_variance")>() = toFinite(adc_variance, 0);
173 var<named("adc_max")>() = toFinite(bacc::max(adc_acc), 0);
174 var<named("adc_min")>() = toFinite(bacc::min(adc_acc), 0);
175 var<named("adc_sum")>() = toFinite(bacc::sum(adc_acc), 0);
176
177 var<named("tot_mean")>() = toFinite(bacc::mean(tot_acc), 0);
178 var<named("tot_variance")>() = toFinite(tot_variance, 0);
179 var<named("tot_max")>() = toFinite(bacc::max(tot_acc), 0);
180 var<named("tot_min")>() = toFinite(bacc::min(tot_acc), 0);
181 var<named("tot_sum")>() = toFinite(bacc::sum(tot_acc), 0);
182
183 var<named("empty_s_mean")>() = toFinite(bacc::mean(empty_s_acc), 0);
184 var<named("empty_s_sum")>() = toFinite(bacc::sum(empty_s_acc), 0);
185 var<named("empty_s_variance")>() = toFinite(empty_s_variance, 0);
186 var<named("empty_s_max")>() = toFinite(bacc::max(empty_s_acc), 0);
187 var<named("empty_s_min")>() = toFinite(bacc::min(empty_s_acc), 0);
188
189 return true;
190}
bool extract(const TrackingUtilities::CDCTrack *track) override
Generate and assign the contained variables.
bacc::accumulator_set< double, statistics_set > statistics_accumulator
A boost accumulators set that aggregates statistics for the values it is called with.
Class representing a three dimensional reconstructed hit.
Class representing a sequence of three dimensional reconstructed hits.
Definition CDCTrack.h:39
Particle trajectory as it is seen in xy projection represented as a circle.
double getAbsMom2D(double bZ) const
Get the estimation for the absolute value of the transvers momentum.
Particle full three dimensional trajectory.
CDCTrajectory2D getTrajectory2D() const
Getter for the two dimensional trajectory.
CDCTrajectorySZ getTrajectorySZ() const
Getter for the sz trajectory.
double getTanLambda() const
Getter for the slope over the travel distance coordinate.
double getZ0() const
Getter for the z coordinate at zero travel distance.
static constexpr int named(const char *name)
Definition VarSet.h:78
Abstract base class for different kinds of events.
Unary functor for equality comparison to NAN.
Definition Functional.h:539