1#include "Tracking/Reco/LinearTruthTracking.h"
15 "out_trk_collection",
"LinearRecoilTruthTracks");
19 "input_hits_collection",
"RecoilSimHits");
21 "input_recHits_collection",
"EcalRecHits");
24 parameters.getParameter<std::string>(
"input_pass_name",
"");
26 ecal_first_layer_z_threshold_ =
27 parameters.getParameter<
double>(
"ecal_first_layer_z_threshold");
31 auto start = std::chrono::high_resolution_clock::now();
32 std::vector<ldmx::StraightTrack> straight_truth_tracks;
35 const std::vector<ldmx::SimTrackerHit> recoil_hits =
38 const std::vector<ldmx::EcalHit> ecal_rec_hit =
42 std::vector<std::array<double, 3>> first_layer_ecal_rec_hits;
44 for (
const auto& x_ecal : ecal_rec_hit) {
45 if (x_ecal.getZPos() < ecal_first_layer_z_threshold_) {
46 first_layer_ecal_rec_hits.push_back(
47 {x_ecal.getZPos(), x_ecal.getXPos(), x_ecal.getYPos()});
52 if (recoil_hits.size() < 2) {
54 n_truth_ += straight_truth_tracks.size();
59 std::vector<ldmx::SimTrackerHit> truth_points;
62 for (
const auto& point : recoil_hits) {
63 if (point.getTrackID() == 1) {
64 truth_points.push_back(point);
69 if (truth_points.size() > 1) {
70 straight_truth_tracks.push_back(
71 truthTracker(truth_points, first_layer_ecal_rec_hits));
75 n_truth_ += straight_truth_tracks.size();
79 n_truth_ += straight_truth_tracks.size();
82 auto end = std::chrono::high_resolution_clock::now();
83 auto diff = end - start;
84 processing_time_ += std::chrono::duration<double, std::milli>(diff).count();
86 first_layer_ecal_rec_hits.clear();
87 straight_truth_tracks.clear();
92 const std::vector<ldmx::SimTrackerHit>& points,
93 std::vector<std::array<double, 3>>& ecal_points) {
98 auto [m_x, b_x, m_y, b_y] = fit3DLine(points);
101 trk.setInterceptX(b_x);
103 trk.setInterceptY(b_y);
104 trk.setTheta(std::atan2(m_y, std::sqrt(1 + m_x * m_x)));
105 trk.setPhi(std::atan2(m_x, 1.0));
106 trk.setTargetLocation(0.0, b_x, b_y);
107 trk.setNhits(points.size());
108 trk.setNdf(points.size() - 2);
110 trk.setTrackID(points[0].getTrackID());
111 trk.setPdgID(points[0].getPdgID());
112 trk.setTruthProb(1.0);
114 trk.setAllTruthSensorPoints(points);
116 trk.setChi2(globalChiSquare(points, m_x, m_y, b_x, b_y));
119 if (ecal_points.size() > 0) {
120 double ecal_first_layer_z = ecal_points[0][0];
123 std::array<double, 3> extrapolated_point = {ecal_first_layer_z,
124 m_x * ecal_first_layer_z + b_x,
125 m_y * ecal_first_layer_z + b_y};
127 const std::array<double, 3>* closest_rec_hit =
nullptr;
128 double min_distance = std::numeric_limits<double>::max();
131 for (
const auto& ecal_rec_hit : ecal_points) {
132 double temp_distance =
133 calculateDistance(extrapolated_point, ecal_rec_hit);
135 if (temp_distance < min_distance) {
136 min_distance = temp_distance;
137 closest_rec_hit = &ecal_rec_hit;
141 if (closest_rec_hit !=
nullptr) {
142 trk.setFirstLayerEcalRecHit(*closest_rec_hit);
143 trk.setDistancetoRecHit(min_distance);
144 trk.setEcalLayer1Location(extrapolated_point);
152 ldmx_log(info) <<
"AVG Time / Event: " << std::fixed << std::setprecision(1)
153 << processing_time_ / n_events_ <<
" ms";
154 ldmx_log(info) <<
"Number of Events without enough seed points: "
156 ldmx_log(info) <<
"Number of Events with only 1 trackID == 1 point: "
158 ldmx_log(info) <<
"Total Truth Tracks / Event: " << n_truth_ <<
"/"
162double LinearTruthTracking::calculateDistance(
163 const std::array<double, 3>& point1,
const std::array<double, 3>& point2) {
164 return sqrt(pow(point1[1] - point2[1], 2) + pow(point1[2] - point2[2], 2));
167std::tuple<double, double, double, double> LinearTruthTracking::fit3DLine(
168 const std::vector<ldmx::SimTrackerHit>& points) {
169 std::vector<double> z_vals, x_vals, y_vals;
171 for (
const auto& point : points) {
172 const auto& position = point.getPosition();
173 x_vals.push_back(position[0]);
174 y_vals.push_back(position[1]);
175 z_vals.push_back(position[2]);
178 size_t num_points = points.size();
179 Eigen::MatrixXd a_mat(num_points, 2);
180 Eigen::VectorXd x_vec(num_points), y_vec(num_points);
182 for (
size_t i = 0; i < num_points; ++i) {
183 a_mat(i, 0) = z_vals[i];
185 x_vec(i) = x_vals[i];
186 y_vec(i) = y_vals[i];
189 Eigen::Matrix2d AtA = a_mat.transpose() * a_mat;
190 Eigen::Vector2d At_x = a_mat.transpose() * x_vec;
191 Eigen::Vector2d At_y = a_mat.transpose() * y_vec;
193 Eigen::Vector2d x_params = AtA.ldlt().solve(At_x);
194 Eigen::Vector2d y_params = AtA.ldlt().solve(At_y);
197 return {x_params(0), x_params(1), y_params(0), y_params(1)};
200double LinearTruthTracking::globalChiSquare(
201 const std::vector<ldmx::SimTrackerHit>& points,
double m_x,
double m_y,
202 double b_x,
double b_y) {
203 double chi2_x = 0, chi2_y = 0;
205 for (
const auto& point : points) {
206 const auto& position = point.getPosition();
207 double x_pos = position[0];
208 double y_pos = position[1];
209 double z_pos = position[2];
211 double x_fit = m_x * z_pos + b_x;
212 double y_fit = m_y * z_pos + b_y;
214 chi2_x += std::pow((x_pos - x_fit), 2);
215 chi2_y += std::pow((y_pos - y_fit), 2);
218 return chi2_x + chi2_y;
#define DECLARE_PRODUCER_NS(NS, CLASS)
Macro which allows the framework to construct a producer given its name during configuration.
Implements an event buffer system for storing event data.
Class which represents the process under execution.
Class encapsulating parameters for configuring a processor.
Stores reconstructed hit information from the ECAL.
Represents a simulated tracker hit in the simulation.
std::string input_rec_hits_collection_
The name of the tagger Tracks (only for Recoil Seeding)
void produce(framework::Event &event) override
Run the processor and create a collection of results which indicate if a charge particle can be found...
std::string input_hits_collection_
The name of the input hits collection to use in finding seeds..
LinearTruthTracking(const std::string &name, framework::Process &process)
Constructor.
std::string out_trk_collection_
The name of the output collection of seeds to be stored.
void onProcessEnd() override
Output event statistics.
void configure(framework::config::Parameters ¶meters) override
Configure the processor using the given user specified parameters.
a helper base class providing some methods to shorten access to common conditions used within the tra...
The measurement calibrator can be a function or a class/struct able to retrieve the sim hits containe...