SeedFinderProcessor.cxx

#include "Tracking/Reco/SeedFinderProcessor.h"
 
#include <algorithm>
#include <iostream>
#include <set>
#include <sstream>
 
#include "Acts/Definitions/TrackParametrization.hpp"
#include "Acts/Utilities/Intersection.hpp"
#include "Eigen/Dense"
#include "Tracking/Sim/TrackingUtils.h"
 
/* This processor takes in input a set of 3D space points and builds seedTracks
 * using the ACTS algorithm which is based on the ATLAS 3-space point conformal
 * fit.
 *
 */
 
using Eigen::MatrixXd;
using Eigen::VectorXd;
 
namespace tracking {
namespace reco {
 
SeedFinderProcessor::SeedFinderProcessor(const std::string& name,
                                         framework::Process& process)
    : TrackingGeometryUser(name, process) {
  // TODO REMOVE FROM DEFAULT
  /*
  output_file_ = new TFile("seeder.root", "RECREATE");
  output_tree_ = new TTree("seeder", "seeder");
 
  output_tree_->Branch("nevents", &nevents_);
  output_tree_->Branch("xhit", &xhit_);
  output_tree_->Branch("yhit", &yhit_);
  output_tree_->Branch("zhit", &zhit_);
 
  output_tree_->Branch("b0", &b0_);
  output_tree_->Branch("b1", &b1_);
  output_tree_->Branch("b2", &b2_);
  output_tree_->Branch("b3", &b3_);
  output_tree_->Branch("b4", &b4_);
  */
}
 
void SeedFinderProcessor::onProcessStart() {
  truth_matching_tool_ = std::make_shared<tracking::sim::TruthMatchingTool>();
  target_surface_ = tracking::sim::utils::unboundSurface(0.);
}
 
void SeedFinderProcessor::configure(framework::config::Parameters& parameters) {
  // Output seed name
  out_seed_collection_ = parameters.get<std::string>("out_seed_collection",
                                                     getName() + "SeedTracks");
 
  // Input strip hits
  input_hits_collection_ =
      parameters.get<std::string>("input_hits_collection", "TaggerSimHits");
 
  // Tagger tracks - only for Recoil Seed finding
  tagger_trks_collection_ =
      parameters.get<std::string>("tagger_trks_collection", "TaggerTracks");
 
  perigee_location_ =
      parameters.get<std::vector<double>>("perigee_location", {-700, 0., 0.});
  pmin_ = parameters.get<double>("pmin", 0.05 * Acts::UnitConstants::GeV);
  pmax_ = parameters.get<double>("pmax", 8 * Acts::UnitConstants::GeV);
  d0max_ = parameters.get<double>("d0max", -15. * Acts::UnitConstants::mm);
  d0min_ = parameters.get<double>("d0min", -45. * Acts::UnitConstants::mm);
  z0max_ = parameters.get<double>("z0max", 60. * Acts::UnitConstants::mm);
  phicut_ = parameters.get<double>("phicut", 0.1);
  thetacut_ = parameters.get<double>("thetacut", 0.2);
  loc0cut_ = parameters.get<double>("loc0cut", 0.1);
  loc1cut_ = parameters.get<double>("loc1cut", 0.3);
  strategies_ =
      parameters.get<std::vector<std::string>>("strategies", {"0,1,2,3,4"});
  use_target_constraint_ = parameters.get<bool>("use_target_constraint", false);
  use_beamspot_constraint_ =
      parameters.get<bool>("use_beamspot_constraint", false);
  beamspot_sigma_ =
      parameters.get<std::vector<double>>("beamspot_sigma", {5.77, 23.1});
 
  if (use_target_constraint_ && tagger_trks_collection_.empty()) {
    EXCEPTION_RAISE("BadConf",
                    "use_target_constraint needs a tagger_trks_collection");
  }
 
  // 5 fit parameters: one equation per strip, two per target constraint
  const size_t min_layers =
      (use_target_constraint_ || use_beamspot_constraint_) ? 4 : 5;
 
  // parse each "l0,l1,..." string into a layer list
  strategy_layers_.clear();
  for (const auto& strategy : strategies_) {
    std::vector<int> layers;
    std::stringstream ss(strategy);
    std::string token;
    while (std::getline(ss, token, ',')) {
      if (!token.empty()) layers.push_back(std::stoi(token));
    }
    std::set<int> distinct(layers.begin(), layers.end());
    if (distinct.size() < min_layers) {
      EXCEPTION_RAISE("BadConf",
                      "Seeding strategy '" + strategy + "' has fewer than " +
                          std::to_string(min_layers) + " distinct layers");
    }
    strategy_layers_.push_back(layers);
  }
  inflate_factors_ = parameters.get<std::vector<double>>(
      "inflate_factors", {10., 10., 10., 10., 10., 10.});
  bfield_ = parameters.get<double>("bfield", 1.5);
  input_pass_name_ = parameters.get<std::string>("input_pass_name");
  sim_particles_coll_name_ =
      parameters.get<std::string>("sim_particles_coll_name");
  sim_particles_passname_ =
      parameters.get<std::string>("sim_particles_passname");
  tagger_trks_event_collection_passname_ =
      parameters.get<std::string>("tagger_trks_event_collection_passname");
  sim_particles_event_passname_ =
      parameters.get<std::string>("sim_particles_event_passname");
  u_error_ = parameters.get<double>("u_error");
  v_error_ = parameters.get<double>("v_error");
}
 
void SeedFinderProcessor::produce(framework::Event& event) {
  // tg is unused, should it be? FIXME
  // const auto& tg{geometry()};
  auto start = std::chrono::high_resolution_clock::now();
  std::vector<ldmx::Track> seed_tracks;
 
  nevents_++;
 
  // check if SimParticleMap is available for truth matching
  std::map<int, ldmx::SimParticle> particle_map;
 
  const auto& measurements = event.getCollection<ldmx::Measurement>(
      input_hits_collection_, input_pass_name_);
 
  // tagger tracks give the target position; an empty name disables it
  std::vector<ldmx::Track> tagger_tracks;
  if (!tagger_trks_collection_.empty()) {
    // prefer this pass so a re-reco does not see two copies
    std::string pass = tagger_trks_event_collection_passname_;
    if (pass.empty() &&
        event.exists(tagger_trks_collection_, event.getPassName())) {
      pass = event.getPassName();
    }
    if (event.exists(tagger_trks_collection_, pass)) {
      tagger_tracks =
          event.getCollection<ldmx::Track>(tagger_trks_collection_, pass);
    } else if (!warned_ambiguous_tagger_ &&
               event.exists(tagger_trks_collection_, pass, false)) {
      ldmx_log(warn) << "Several '" << tagger_trks_collection_
                     << "' collections found, set "
                        "tagger_trks_event_collection_passname to pick one";
      warned_ambiguous_tagger_ = true;
    }
  }
 
  const auto& tgt_surf = target_surface_;
 
  // Create the pseudomeasurements at the target
 
  ldmx::Measurements target_pseudo_meas;
 
  for (auto tagtrk : tagger_tracks) {
    // For Track, the perigee parameters are stored at the target surface.
    // Use d0/z0 as local position and the perigee covariance for the
    // pseudo measurement. Only create the pseudo measurement if cov is
    // available.
 
    // The covariance matrix passed to the pseudo measurement is considered as
    // uncorrelated. This is an approx that considers that loc-u and loc-v from
    // the track have small correlation.
 
    const auto& perigee_cov = tagtrk.getPerigeeCov();
    if (!perigee_cov.empty()) {
      Acts::BoundMatrix cov = tracking::sim::utils::unpackCov(perigee_cov);
      double locu = tagtrk.getD0();
      double locv = tagtrk.getZ0();
      double covuu =
          cov(Acts::BoundIndices::eBoundLoc0, Acts::BoundIndices::eBoundLoc0);
      double covvv =
          cov(Acts::BoundIndices::eBoundLoc1, Acts::BoundIndices::eBoundLoc1);
 
      ldmx::Measurement pseudo_meas;
      pseudo_meas.setLocalPosition(locu, locv);
      Acts::Vector3 dummy{0., 0., 0.};
      Acts::Vector2 local_pos{locu, locv};
      Acts::Vector3 global_pos =
          tgt_surf->localToGlobal(geometryContext(), local_pos, dummy);
 
      pseudo_meas.setGlobalPosition(global_pos(0), global_pos(1),
                                    global_pos(2));
      pseudo_meas.setTime(0.);
      pseudo_meas.setLocalCovariance(covuu, covvv);
 
      target_pseudo_meas.push_back(pseudo_meas);
    }
  }
 
  // Constraints that enter the fit: tagger tracks, else the beam spot
  ldmx::Measurements fit_constraints;
  if (use_target_constraint_) fit_constraints = target_pseudo_meas;
  if (fit_constraints.empty() && use_beamspot_constraint_) {
    ldmx::Measurement beamspot;
    beamspot.setLocalPosition(0., 0.);
    Acts::Vector3 global_pos = tgt_surf->localToGlobal(
        geometryContext(), Acts::Vector2{0., 0.}, Acts::Vector3{0., 0., 0.});
    beamspot.setGlobalPosition(global_pos(0), global_pos(1), global_pos(2));
    beamspot.setTime(0.);
    beamspot.setLocalCovariance(beamspot_sigma_[0] * beamspot_sigma_[0],
                                beamspot_sigma_[1] * beamspot_sigma_[1]);
    fit_constraints.push_back(beamspot);
  }
 
  if (event.exists(sim_particles_coll_name_, sim_particles_event_passname_)) {
    particle_map = event.getMap<int, ldmx::SimParticle>(
        sim_particles_coll_name_, sim_particles_passname_);
    truth_matching_tool_->setup(particle_map, measurements);
  }
 
  ldmx_log(debug) << "Preparing the strategies";
 
  //  a strategy is a list of layers from which to make the seed
  //  layer_ numbering starts at 0
  for (const auto& strategy : strategy_layers_) {
    groups_map_.clear();
    if (groupStrips(measurements, strategy))
      findSeedsFromMap(seed_tracks, target_pseudo_meas, fit_constraints);
  }
 
  groups_map_.clear();
  // output_tree_->Fill();
  ntracks_ += seed_tracks.size();
  event.add(out_seed_collection_, seed_tracks);
 
  auto end = std::chrono::high_resolution_clock::now();
 
  // long long microseconds =
  // std::chrono::duration_cast<std::chrono::microseconds>(end-start).count();
 
  auto diff = end - start;
  processing_time_ += std::chrono::duration<double, std::milli>(diff).count();
 
  // Seed finding using 2D Hits
  //  - The hits should keep track if they are already associated to a track or
  //  not. This can be used for subsequent passes of seed-finding
 
  // This should go into a digitization producer, which takes care of producing
  // measurements from:
  //  - raw hits in data
  //  - sim hits in MC
  // Step 0: Get the sim hits and project them on the surfaces to mimic 2d
  // hits Step 1: Smear the hits and associate an uncertainty to those
  // measurements.
 
  xhit_.clear();
  yhit_.clear();
  zhit_.clear();
 
  b0_.clear();
  b1_.clear();
  b2_.clear();
  b3_.clear();
  b4_.clear();
 
}  // produce
 
// Seed finder from Robert's in HPS
// https://github.com/JeffersonLab/hps-java/blob/47712878302eb0c0374d077a208a6f8f0e2c3dc6/tracking/src/main/java/org/hps/recon/tracking/kalman/SeedTrack.java
// Adapted to possible 3D hit points.
 
// yOrigin is the location along the beam about which we fit the seed helix
// perigee_location is where the track parameters will be extracted
 
// the optional constraint is a 2D point on the target surface
 
ldmx::Track SeedFinderProcessor::seedTracker(
    const ldmx::Measurements& vmeas, double xOrigin,
    const Acts::Vector3& perigee_location,
    const ldmx::Measurement* constraint) {
  // Fit a straight line in the non-bending plane and a parabola in the bending
  // plane
 
  // Each measurement is treated as a 3D point, where the v direction is in the
  // center of the strip with sigma equal to the length of the strip / sqrt(12).
  // In this way it's easier to incorporate the tagger track extrapolation to
  // the fit
 
  Acts::Matrix<5, 5> a = Acts::Matrix<5, 5>::Zero();
  Acts::Vector<5> y = Acts::Vector<5>::Zero();
 
  // accumulate one 2D point on a surface into the normal equations
  auto add_point = [&](const Acts::Surface& surface, const Acts::Vector2& loc,
                       double xmeas, double var_u, double var_v) {
    auto rot = surface.localToGlobalTransform(geometryContext()).rotation();
    auto tr = surface.localToGlobalTransform(geometryContext()).translation();
    auto rotl2g = rot.transpose();
 
    Acts::Matrix<2, 5> a_i;
    a_i(0, 0) = rotl2g(0, 1);
    a_i(0, 1) = rotl2g(0, 1) * xmeas;
    a_i(0, 2) = rotl2g(0, 1) * xmeas * xmeas;
    a_i(0, 3) = rotl2g(0, 2);
    a_i(0, 4) = rotl2g(0, 2) * xmeas;
 
    a_i(1, 0) = rotl2g(1, 1);
    a_i(1, 1) = rotl2g(1, 1) * xmeas;
    a_i(1, 2) = rotl2g(1, 1) * xmeas * xmeas;
    a_i(1, 3) = rotl2g(1, 2);
    a_i(1, 4) = rotl2g(1, 2) * xmeas;
 
    Acts::Vector2 offset = (rot.transpose() * tr).topRows<2>();
    Acts::Vector2 xoffset = {rotl2g(0, 0) * xmeas, rotl2g(1, 0) * xmeas};
 
    Acts::Matrix<2, 2> w_i = Acts::Matrix<2, 2>::Zero();
    w_i(0, 0) = 1. / var_u;
    w_i(1, 1) = 1. / var_v;
 
    Acts::Vector2 yprime_i = loc + offset - xoffset;
    y += (a_i.transpose()) * w_i * yprime_i;
    a += a_i.transpose() * (w_i * a_i);
  };
 
  for (auto meas : vmeas) {
    double xmeas = meas.getGlobalPosition()[0] - xOrigin;
    const Acts::Surface* hit_surface = geometry().getSurface(meas.getLayerID());
 
    xhit_.push_back(xmeas);
    yhit_.push_back(meas.getGlobalPosition()[1]);
    zhit_.push_back(meas.getGlobalPosition()[2]);
 
    // strips measure u only; v sits at the strip center
    Acts::Vector2 loc{meas.getLocalPosition()[0], 0.};
    add_point(*hit_surface, loc, xmeas, u_error_ * u_error_,
              v_error_ * v_error_);
  }
 
  if (constraint) {
    double xmeas = constraint->getGlobalPosition()[0] - xOrigin;
    Acts::Vector2 loc{constraint->getLocalPosition()[0],
                      constraint->getLocalPosition()[1]};
    auto cov = constraint->getLocalCovariance();
    // floor at (1 um)^2 so a missing covariance cannot blow up the weight
    add_point(*target_surface_, loc, xmeas, std::max<double>(cov[0], 1e-6),
              std::max<double>(cov[1], 1e-6));
  }
 
  Acts::Vector<5> b;
  b = a.inverse() * y;
 
  b0_.push_back(b(0));
  b1_.push_back(b(1));
  b2_.push_back(b(2));
  b3_.push_back(b(3));
  b4_.push_back(b(4));
 
  // Acts::Vector<5> hlx = Acts::Vector<5>::Zero();
  Acts::Vector<3> ref{0., 0., 0.};
 
  // relative_perigee_x is the perigee position in the fit frame (fit-x = ACTS x
  // - xOrigin). It is used only for evaluating the fitted curve (y, z, slopes).
  // The PerigeeSurface and seed_pos must use the absolute ACTS x coordinate,
  // which is perigee_location(0) directly.
  double relative_perigee_x = perigee_location(0) - xOrigin;
 
  std::shared_ptr<const Acts::PerigeeSurface> seed_perigee =
      Acts::Surface::makeShared<Acts::PerigeeSurface>(Acts::Vector3(
          perigee_location(0), perigee_location(1), perigee_location(2)));
 
  // in mm — x is absolute ACTS x; y and z evaluated at fit-x =
  // relative_perigee_x
  Acts::Vector3 seed_pos{perigee_location(0),
                         b(0) + b(1) * relative_perigee_x +
                             b(2) * relative_perigee_x * relative_perigee_x,
                         b(3) + b(4) * relative_perigee_x};
  Acts::Vector3 dir{1, b(1) + 2 * b(2) * relative_perigee_x, b(4)};
  dir /= dir.norm();
 
  // Momentum at xmeas
  // R in meters, p in GeV
  double p = 0.3 * bfield_ * (1. / (2. * abs(b(2)))) * 0.001;
  // std::cout<<"Momentum "<< p*dir << std::endl;
 
  // Convert it to MeV since that's what TrackUtils assumes
  Acts::Vector3 seed_mom = p * dir / Acts::UnitConstants::MeV;
  double q =
      b(2) < 0 ? -1 * Acts::UnitConstants::e : +1 * Acts::UnitConstants::e;
 
  // Linear intersection with the perigee line. TODO:: Use propagator instead
  // Project the position on the surface.
  // This is mainly necessary for the perigee surface, where
  // the mean might not fulfill the perigee condition.
 
  // mg  Aug 2024 .. interect has changed, but just remove boundary check
  //  and change intersection to intersections
  //   auto intersection =
  //     (*seed_perigee).intersect(geometry_context(), seed_pos, dir, false);
 
  // Acts::FreeVector seed_free = tracking::sim::utils::toFreeParameters(
  //     intersection.intersection.position, seed_mom, q);
 
  auto intersection =
      (*seed_perigee).intersect(geometryContext(), seed_pos, dir);
 
  Acts::FreeVector seed_free = tracking::sim::utils::toFreeParameters(
      intersection[0].position(), seed_mom, q);
 
  auto bound_params = Acts::transformFreeToBoundParameters(
                          seed_free, *seed_perigee, geometryContext())
                          .value();
 
  ldmx_log(trace) << "bound parameters at perigee location" << bound_params;
 
  Acts::BoundVector stddev;
  // sigma set to 75% of momentum
  double sigma_p = 0.75 * p * Acts::UnitConstants::GeV;
  stddev[Acts::eBoundLoc0] =
      inflate_factors_[Acts::eBoundLoc0] * 2 * Acts::UnitConstants::mm;
  stddev[Acts::eBoundLoc1] =
      inflate_factors_[Acts::eBoundLoc1] * 5 * Acts::UnitConstants::mm;
  stddev[Acts::eBoundPhi] =
      inflate_factors_[Acts::eBoundPhi] * 5 * Acts::UnitConstants::degree;
  stddev[Acts::eBoundTheta] =
      inflate_factors_[Acts::eBoundTheta] * 5 * Acts::UnitConstants::degree;
  stddev[Acts::eBoundQOverP] =
      inflate_factors_[Acts::eBoundQOverP] * (1. / p) * (1. / p) * sigma_p;
  stddev[Acts::eBoundTime] =
      inflate_factors_[Acts::eBoundTime] * 1000 * Acts::UnitConstants::ns;
 
  ldmx_log(debug)
      << "Making covariance matrix as diagonal matrix with inflated terms";
  Acts::BoundMatrix bound_cov = stddev.cwiseProduct(stddev).asDiagonal();
 
  ldmx_log(debug) << "...now putting together the seed track ...";
 
  ldmx::Track trk = ldmx::Track();
  // Store the perigee surface position (absolute ACTS coordinates) converted to
  // LDMX frame so CKFProcessor can reconstruct the same surface.
  Acts::Vector3 perigee_ldmx =
      tracking::sim::utils::acts2Ldmx(perigee_location);
  trk.setPerigeeLocation(perigee_ldmx(0), perigee_ldmx(1), perigee_ldmx(2));
  trk.setChi2(0.);
  trk.setNhits(vmeas.size());
  trk.setNdf(0);
  trk.setNsharedHits(0);
  trk.setCharge(q < 0 ? -1 : 1);
  std::vector<double> v_seed_params(
      (bound_params).data(),
      bound_params.data() + bound_params.rows() * bound_params.cols());
  std::vector<double> v_seed_cov;
  tracking::sim::utils::flatCov(bound_cov, v_seed_cov);
  trk.setPerigeeParameters(v_seed_params);
  trk.setPerigeeCov(v_seed_cov);
 
  ldmx_log(debug)
      << "...making the ParticleHypothesis ...assume electron for now";
  auto part_hypo{Acts::ParticleHypothesis::electron()};
 
  ldmx_log(debug) << "Making BoundTrackParameters seedParameters";
  Acts::BoundTrackParameters seed_parameters(
      seed_perigee, std::move(bound_params), bound_cov, part_hypo);
 
  ldmx_log(debug) << "Returning seed track";
  return trk;
}
 
void SeedFinderProcessor::onProcessEnd() {
  // output_file_->cd();
  // output_tree_->Write();
  // output_file_->Close();
  ldmx_log(info) << "AVG Time/Event: " << std::fixed << std::setprecision(1)
                 << processing_time_ / nevents_ << " ms";
  ldmx_log(info) << "Total Seeds/Events: " << ntracks_ << "/" << nevents_;
  ldmx_log(info) << "Seeds discarded due to multiple hits on layers "
                 << ndoubles_;
  ldmx_log(info) << "not enough seed points " << nmissing_;
  ldmx_log(info) << " nfailpmin=" << nfailpmin_;
  ldmx_log(info) << "   nfailpmax=" << nfailpmax_;
  ldmx_log(info) << "   nfaild0max=" << nfaild0max_;
  ldmx_log(info) << "   nfaild0min=" << nfaild0min_;
  ldmx_log(info) << "   nfailphicut=" << nfailphi_;
  ldmx_log(info) << "   nfailthetacut=" << nfailtheta_;
  ldmx_log(info) << "   nfailz0max=" << nfailz0max_;
}
 
// Given a strategy, group the hits according to some options
// Not a good algorithm. The best would be to organize all the hits in sensors
// *first* then only select the hits that we are interested into. TODO!
 
bool SeedFinderProcessor::groupStrips(
    const std::vector<ldmx::Measurement>& measurements,
    const std::vector<int> strategy) {
  //    std::cout<<"Using stratedy"<<std::endl;
  // for (auto& e : strategy) {
  //  std::cout<<e<<" ";
  //}
  // std::cout<<std::endl;
 
  for (auto& meas : measurements) {
    ldmx_log(trace) << meas;
 
    if (std::find(strategy.begin(), strategy.end(), meas.getLayer()) !=
        strategy.end()) {
      ldmx_log(debug) << "Adding measurement from layer_ = " << meas.getLayer();
      groups_map_[meas.getLayer()].push_back(&meas);
    }
 
  }  // loop meas
 
  if (groups_map_.size() < strategy.size())
    return false;
  else
    return true;
}
 
// For each strategy, form all the possible combinatorics and form a seedTrack
// for each of those This will reshuffle all points. (issue?) Will sort the
// meas_for_seed vector
 
void SeedFinderProcessor::findSeedsFromMap(
    std::vector<ldmx::Track>& seeds, const ldmx::Measurements& pmeas,
    const ldmx::Measurements& fit_constraints) {
  std::map<int, std::vector<const ldmx::Measurement*>>::iterator groups_iter =
      groups_map_.begin();
  // Vector of iterators, one per grouped layer
  const int k = groups_map_.size();
  if (k < 1) return;
  std::vector<std::vector<const ldmx::Measurement*>::iterator> it;
  it.resize(k);
 
  unsigned int ikey = 0;
  for (auto& key : groups_map_) {
    it[ikey] = key.second.begin();
    ikey++;
  }
 
  // K vectors in an array v[0],v[1].... v[K-1]
 
  // Loop over all combinations
  while (it[0] != groups_iter->second.end()) {
    // process the pointed-to elements
 
    /*
      for (int j=0; j<K; j++) {
      const ldmx::Measurement* meas = (*(it[j]));
      std::cout<<meas->getGlobalPosition()[0]<<","
      <<meas->getGlobalPosition()[1]<<","
      <<meas->getGlobalPosition()[2]<<","<<std::endl;
      }
    */
 
    std::vector<ldmx::Measurement> meas_for_seeds;
    meas_for_seeds.reserve(k);
 
    ldmx_log(debug) << " Grouping ";
 
    for (int j = 0; j < k; j++) {
      const ldmx::Measurement* meas = (*(it[j]));
      meas_for_seeds.push_back(*meas);
    }
 
    std::sort(meas_for_seeds.begin(), meas_for_seeds.end(),
              [](const ldmx::Measurement& m1, const ldmx::Measurement& m2) {
                return m1.getGlobalPosition()[0] < m2.getGlobalPosition()[0];
              });
 
    if (meas_for_seeds.size() < k) {
      nmissing_++;
      return;
    }
 
    ldmx_log(debug) << "making seedTrack";
 
    Acts::Vector3 perigee{perigee_location_[0], perigee_location_[1],
                          perigee_location_[2]};
 
    // one seed per constraint; nullptr is the unconstrained fit
    std::vector<const ldmx::Measurement*> constraints;
    for (const auto& c : fit_constraints) constraints.push_back(&c);
    if (constraints.empty()) constraints.push_back(nullptr);
 
    for (const auto* constraint : constraints) {
      // 5 parameters need 5 equations: one per strip, two per constraint
      if (meas_for_seeds.size() + (constraint ? 2 : 0) < 5) {
        nmissing_++;
        continue;
      }
 
      ldmx::Track seed_track = seedTracker(
          meas_for_seeds, meas_for_seeds.at(k / 2).getGlobalPosition()[0],
          perigee, constraint);
 
      bool fail = false;
 
      // Remove failed fits
      if (1. / abs(seed_track.getQoP()) < pmin_) {
        nfailpmin_++;
        fail = true;
      } else if (1. / abs(seed_track.getQoP()) > pmax_) {
        nfailpmax_++;
        fail = true;
      }
 
      // Remove large part of fake tracks and duplicates with the following cuts
      // for various compatibility checks.
 
      else if (abs(seed_track.getZ0()) > z0max_) {
        nfailz0max_++;
        fail = true;
      } else if (seed_track.getD0() < d0min_) {
        nfaild0min_++;
        fail = true;
      } else if (seed_track.getD0() > d0max_) {
        nfaild0max_++;
        fail = true;
      } else if (abs(seed_track.getPhi()) > phicut_) {
        fail = true;
        nfailphi_++;
      } else if (abs(seed_track.getTheta() - piover2_) > thetacut_) {
        fail = true;
        nfailtheta_++;
      }
 
      // If I didn't use the target pseudo measurements in the track finding
      // I can use them for compatibility with the tagger track
 
      // the tagger seeder has no tagger_trks_collection, so pmeas is empty
      if (pmeas.size() > 0) {
        // I can have multiple target pseudo measurements
        // A seed is rejected if it is found incompatible with all the target
        // extrapolations
 
        // This is set but unused, eventually we will use tagger track position
        // at target to inform recoil tracking bool tgt_compatible = false;
        for (auto tgt_pseudomeas : pmeas) {
          // The d0/z0 are in a frame with the same orientation of the target
          // surface
          double delta_loc0 =
              seed_track.getD0() - tgt_pseudomeas.getLocalPosition()[0];
          double delta_loc1 =
              seed_track.getZ0() - tgt_pseudomeas.getLocalPosition()[1];
 
          if (abs(delta_loc0) < loc0cut_ && abs(delta_loc1) < loc1cut_) {
            // found at least 1 compatible target location
            // tgt_compatible = true;
            break;
          }
        }
      }  // pmeas > 0
 
      if (!fail) {
        if (truth_matching_tool_->configured()) {
          auto truth_info = truth_matching_tool_->truthMatch(meas_for_seeds);
          seed_track.setTrackID(truth_info.track_id_);
          seed_track.setPdgID(truth_info.pdg_id_);
          seed_track.setTruthProb(truth_info.truth_prob_);
        }
 
        seeds.push_back(seed_track);
      }
 
      else {
        b0_.pop_back();
        b1_.pop_back();
        b2_.pop_back();
        b3_.pop_back();
        b4_.pop_back();
      }
    }  // constraints
 
    // Go to next combination
    ldmx_log(debug) << "Go to the next combination";
 
    ++it[k - 1];
    for (int i = k - 1;
         (i > 0) && (it[i] == (std::next(groups_iter, i))->second.end()); --i) {
      it[i] = std::next(groups_iter, i)->second.begin();
      ++it[i - 1];
    }
  }
}  // find seeds
 
}  // namespace reco
}  // namespace tracking
 
DECLARE_PRODUCER(tracking::reco::SeedFinderProcessor)