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// Copyright 2019-2026 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed under the terms of the GNU General Public
// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
//
// In applying this license 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.
///
/// \file TrackHelpers.h
/// \brief Shared host/device helpers for ITS tracker trait implementations
///
#ifndef O2_ITS_TRACKING_TRACKHELPERS_H_
#define O2_ITS_TRACKING_TRACKHELPERS_H_
#include "CommonConstants/MathConstants.h"
#include "DataFormatsITS/TrackITS.h"
#include "ITStracking/Cell.h"
#include "ITStracking/Cluster.h"
#include "ITStracking/Constants.h"
#include "ITStracking/MathUtils.h"
#include "ITStracking/TrackITSInternal.h"
#include "DetectorsBase/Propagator.h"
#include "ReconstructionDataFormats/Track.h"
namespace o2::its::track
{
GPUhdi() bool isBetter(const int nClustersA, const float chi2A, const int nClustersB, const float chi2B)
{
return (nClustersA > nClustersB) || (nClustersA == nClustersB && chi2A < chi2B);
}
GPUhdi() bool isBetter(const o2::its::TrackITS& a, const o2::its::TrackITS& b)
{
return isBetter(a.getNumberOfClusters(), a.getChi2(), b.getNumberOfClusters(), b.getChi2());
}
template <int NLayers>
GPUhdi() bool isBetter(const o2::its::TrackITSInternal<NLayers>& a, const o2::its::TrackITSInternal<NLayers>& b)
{
return isBetter(a.getNumberOfClusters(), a.getChi2(), b.getNumberOfClusters(), b.getChi2());
}
// Find the populated interior layer closest to the radial midpoint.
// If no layer can be found, return constants::UnusedIndex.
// Should minimize the sagitta bias.
template <int NLayers>
GPUdi() int selectReseedMidLayer(int minLayer, int maxLayer, const float* layerRadii, const TrackSeed<NLayers>& seed)
{
int midLayer = constants::UnusedIndex;
float distanceToMidR = layerRadii[NLayers - 1]; // midpoint cannot be last layer
const float midR = 0.5f * (layerRadii[maxLayer] + layerRadii[minLayer]);
for (int iLayer = minLayer + 1; iLayer < maxLayer; ++iLayer) {
if (seed.getCluster(iLayer) != constants::UnusedIndex) {
const float distance = o2::gpu::CAMath::Abs(midR - layerRadii[iLayer]);
if (distance < distanceToMidR) { // keep the smaller-radius layer on ties
midLayer = iLayer;
distanceToMidR = distance;
}
}
}
return midLayer;
}
GPUdi() void resetTrackCovariance(o2::track::TrackParCov& track)
{
track.resetCovariance();
track.setCov(track.getQ2Pt() * track.getQ2Pt() * track.getCov()[o2::track::CovLabels::kSigQ2Pt2], o2::track::CovLabels::kSigQ2Pt2);
}
GPUdi() o2::track::TrackParCov buildTrackSeed(const Cluster& cluster1,
const Cluster& cluster2,
const TrackingFrameInfo& tf3,
const float bz,
const bool reverse = false)
{
float ca = constants::UnsetValue, sa = constants::UnsetValue, snp = constants::UnsetValue, q2pt = constants::UnsetValue, q2pt2 = constants::UnsetValue;
o2::gpu::CAMath::SinCos(tf3.alphaTrackingFrame, sa, ca);
const float sign = reverse ? -1.f : 1.f;
const float x1 = (cluster1.xCoordinate * ca) + (cluster1.yCoordinate * sa);
const float y1 = (-cluster1.xCoordinate * sa) + (cluster1.yCoordinate * ca);
const float x2 = (cluster2.xCoordinate * ca) + (cluster2.yCoordinate * sa);
const float y2 = (-cluster2.xCoordinate * sa) + (cluster2.yCoordinate * ca);
const float x3 = tf3.xTrackingFrame;
const float y3 = tf3.positionTrackingFrame[0];
if (o2::gpu::CAMath::Abs(bz) < 0.01f) { // zero field
const float dx = x3 - x1;
const float dy = y3 - y1;
snp = sign * dy / o2::gpu::CAMath::Hypot(dx, dy);
q2pt = 1.f / o2::track::kMostProbablePt;
q2pt2 = 1.f;
} else {
const float crv = math_utils::computeCurvature(x3, y3, x2, y2, x1, y1);
snp = sign * crv * (x3 - math_utils::computeCurvatureCentreX(x3, y3, x2, y2, x1, y1));
q2pt = sign * crv / (bz * o2::constants::math::B2C);
q2pt2 = crv * crv;
}
const float tgl = -0.5f * sign * (math_utils::computeTanDipAngle(x1, y1, x2, y2, cluster1.zCoordinate, cluster2.zCoordinate) + math_utils::computeTanDipAngle(x2, y2, x3, y3, cluster2.zCoordinate, tf3.positionTrackingFrame[1]));
const float sg2q2pt = o2::track::kC1Pt2max * o2::gpu::CAMath::Clamp(q2pt2, 0.0005f, 1.0f);
return {x3, tf3.alphaTrackingFrame, {y3, tf3.positionTrackingFrame[1], snp, tgl, q2pt}, {tf3.covarianceTrackingFrame[0], tf3.covarianceTrackingFrame[1], tf3.covarianceTrackingFrame[2], 0.f, 0.f, o2::track::kCSnp2max, 0.f, 0.f, 0.f, o2::track::kCTgl2max, 0.f, 0.f, 0.f, 0.f, sg2q2pt}};
}
template <int NLayers>
GPUdi() TrackITSInternal<NLayers> seedTrackForRefit(const TrackSeed<NLayers>& seed,
const TrackingFrameInfo* const* foundTrackingFrameInfo,
const Cluster* const* unsortedClusters,
const float* layerRadii,
const float bz,
const int reseedIfShorter)
{
TrackITSInternal<NLayers> temporaryTrack;
temporaryTrack.paramIn = static_cast<const o2::track::TrackParCov&>(seed);
int lrMin = NLayers;
int lrMax = 0;
for (int iL{0}; iL < NLayers; ++iL) {
const int idx = seed.getCluster(iL);
temporaryTrack.setClusterIndex(iL, idx);
if (idx != constants::UnusedIndex) {
lrMin = o2::gpu::CAMath::Min(lrMin, iL);
lrMax = o2::gpu::CAMath::Max(lrMax, iL);
}
}
const int ncl = temporaryTrack.getNClusters();
if (ncl < reseedIfShorter && ncl > 2) {
const int lrMid = selectReseedMidLayer<NLayers>(lrMin, lrMax, layerRadii, seed);
if (lrMid != constants::UnusedIndex) {
const auto& cluster0TF = foundTrackingFrameInfo[lrMin][seed.getCluster(lrMin)];
const auto& cluster1GL = unsortedClusters[lrMid][seed.getCluster(lrMid)];
const auto& cluster2GL = unsortedClusters[lrMax][seed.getCluster(lrMax)];
temporaryTrack.paramIn = buildTrackSeed(cluster2GL, cluster1GL, cluster0TF, bz, true);
}
}
resetTrackCovariance(temporaryTrack.paramIn);
return temporaryTrack;
}
// Inputs shared by fit/refit calls within a tracking pass.
template <int NLayers>
struct TrackFitContext {
const TrackingFrameInfo* const* tfInfos{nullptr};
const float* layerxX0{nullptr};
int nLayers{0};
float bz{0.f};
float maxChi2ClusterAttachment{0.f};
float maxChi2NDF{0.f};
const o2::base::Propagator* propagator{nullptr};
o2::base::PropagatorF::MatCorrType matCorrType{o2::base::PropagatorF::MatCorrType::USEMatCorrNONE};
bool shiftRefToCluster{false};
bool repeatRefitOut{false};
};
template <int NLayers>
GPUdi() bool fitTrack(TrackITSInternal<NLayers>& trk,
o2::track::TrackParCov& param,
int start,
int end,
int step,
float maxQoverPt,
int nCl,
const TrackFitContext<NLayers>& ctx,
o2::track::TrackPar* linRef = nullptr)
{
for (int iLayer{start}; iLayer != end; iLayer += step) {
const int clsIdx = trk.getClusterIndex(iLayer);
if (clsIdx == constants::UnusedIndex) {
continue;
}
const TrackingFrameInfo& trackingHit = ctx.tfInfos[iLayer][clsIdx];
if (linRef) {
if (!param.o2::track::TrackParCovF::rotate(trackingHit.alphaTrackingFrame, *linRef, ctx.bz)) {
return false;
}
if (!ctx.propagator->propagateToX(param, *linRef, trackingHit.xTrackingFrame, ctx.bz,
o2::base::PropagatorImpl<float>::MAX_SIN_PHI,
o2::base::PropagatorImpl<float>::MAX_STEP,
ctx.matCorrType)) {
return false;
}
if (ctx.matCorrType == o2::base::PropagatorF::MatCorrType::USEMatCorrNONE) {
if (!param.correctForMaterial(*linRef, ctx.layerxX0[iLayer], ctx.layerxX0[iLayer] * constants::Radl * constants::Rho, true)) {
continue;
}
}
} else {
if (!param.o2::track::TrackParCovF::rotate(trackingHit.alphaTrackingFrame)) {
return false;
}
if (!ctx.propagator->propagateToX(param, trackingHit.xTrackingFrame, ctx.bz,
o2::base::PropagatorImpl<float>::MAX_SIN_PHI,
o2::base::PropagatorImpl<float>::MAX_STEP,
ctx.matCorrType)) {
return false;
}
if (ctx.matCorrType == o2::base::PropagatorF::MatCorrType::USEMatCorrNONE) {
if (!param.correctForMaterial(ctx.layerxX0[iLayer], ctx.layerxX0[iLayer] * constants::Radl * constants::Rho, true)) {
continue;
}
}
}
const auto predChi2{param.getPredictedChi2Quiet(trackingHit.positionTrackingFrame, trackingHit.covarianceTrackingFrame)};
if ((nCl >= 3 && predChi2 > ctx.maxChi2ClusterAttachment) || predChi2 < 0.f) {
return false;
}
trk.setChi2(trk.getChi2() + predChi2);
if (!param.o2::track::TrackParCov::update(trackingHit.positionTrackingFrame, trackingHit.covarianceTrackingFrame)) {
return false;
}
if (linRef && ctx.shiftRefToCluster) {
linRef->setY(trackingHit.positionTrackingFrame[0]);
linRef->setZ(trackingHit.positionTrackingFrame[1]);
}
nCl++;
}
return o2::gpu::CAMath::Abs(param.getQ2Pt()) < maxQoverPt && trk.getChi2() < ctx.maxChi2NDF * (float)((nCl * 2) - 5);
}
template <int NLayers>
GPUdi() bool refitTrack(TrackITSInternal<NLayers>& track,
const TrackFitContext<NLayers>& ctx,
const float minPt = -1.f)
{
o2::track::TrackPar linRef{track.paramIn};
resetTrackCovariance(track.paramIn);
track.setChi2(0);
bool fitSuccess = fitTrack(track, track.paramIn, 0, ctx.nLayers, 1,
o2::constants::math::VeryBig, 0, ctx, &linRef);
if (!fitSuccess) {
return false;
}
track.paramOut = track.paramIn;
linRef = track.paramOut;
resetTrackCovariance(track.paramIn);
track.setChi2(0);
fitSuccess = fitTrack(track, track.paramIn, ctx.nLayers - 1, -1, -1,
50.f, 0, ctx, &linRef);
if (!fitSuccess) {
return false;
}
if (minPt > 0.f && track.getPt() < minPt) {
return false;
}
if (ctx.repeatRefitOut) { // repeat outward refit seeding and linearizing with the stable inward fit result
o2::track::TrackParCov saveInw{track.paramIn};
linRef = saveInw; // use refitted track as lin.reference
float saveChi2 = track.getChi2();
track.paramOut = saveInw;
track::resetTrackCovariance(track.paramOut);
track.setChi2(0);
fitSuccess = fitTrack(track, track.paramOut, 0, ctx.nLayers, 1,
o2::constants::math::VeryBig, 0, ctx, &linRef);
if (!fitSuccess) {
return false;
}
track.paramIn = saveInw;
track.setChi2(saveChi2);
}
return true;
}
template <int NLayers>
GPUdi() bool refitTrackSeed(const TrackSeed<NLayers>& trackSeed,
TrackITSInternal<NLayers>& temporaryTrack,
const TrackFitContext<NLayers>& ctx,
const Cluster* const* clusters,
const float* layerRadii,
const float* minPt,
const int reseedIfShorter)
{
temporaryTrack = seedTrackForRefit(trackSeed,
ctx.tfInfos,
clusters,
layerRadii,
ctx.bz,
reseedIfShorter);
return refitTrack(temporaryTrack, ctx, minPt[NLayers - temporaryTrack.getNClusters()]);
}
} // namespace o2::its::track
#endif