ClusterConversionUtilities.cxx

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/*
  Copyright (C) 2002-2024 CERN for the benefit of the ATLAS collaboration
*/
 
#include "InDetMeasurementUtilities/ClusterConversionUtilities.h"
 
#include "PixelReadoutGeometry/PixelModuleDesign.h"
#include "SCT_ReadoutGeometry/StripStereoAnnulusDesign.h"
 
#include "xAODInDetMeasurement/Utilities.h"
 
#include "HGTD_PrepRawData/HGTD_Cluster.h"
#include "xAODInDetMeasurement/HGTDClusterContainer.h"
#include "xAODInDetMeasurement/HGTDClusterAuxContainer.h"
 
namespace TrackingUtilities {
 
  StatusCode convertInDetToXaodCluster(const HGTD_Cluster& indetCluster,
                       const InDetDD::HGTD_DetectorElement& element,
                       xAOD::HGTDCluster& xaodCluster)
  {
    IdentifierHash idHash = element.identifyHash();
 
    auto localPos = indetCluster.localPosition();
    auto localCov = indetCluster.localCovariance();
 
    const float time = indetCluster.time();
    const float timeResolution = indetCluster.timeResolution();
    
    const auto& RDOs = indetCluster.rdoList();
    const auto& ToTs = indetCluster.totList();
 
    // Time to fill the xaod cluster
    Eigen::Matrix<float,3,1> localPosition = Eigen::Matrix<float,3,1>::Zero();
    localPosition(0, 0) = localPos.x();
    localPosition(1, 0) = localPos.y();
    localPosition(2, 0) = time;
 
    Eigen::Matrix<float,3,3> localCovariance = Eigen::Matrix<float,3,3>::Zero();
    localCovariance(0, 0) = localCov(0, 0);
    localCovariance(1, 1) = localCov(1, 1);
    localCovariance(2, 2) = timeResolution * timeResolution;
 
    xaodCluster.setMeasurement<3>(idHash, localPosition, localCovariance);
    xaodCluster.setIdentifier( indetCluster.identify().get_compact() );
    xaodCluster.setRDOlist(RDOs);
    xaodCluster.setToTlist(ToTs);
    
    return StatusCode::SUCCESS;
  }
  
  StatusCode convertInDetToXaodCluster(const InDet::PixelCluster& indetCluster,
                       const InDetDD::SiDetectorElement& element,
                       xAOD::PixelCluster& xaodCluster)
  {
    IdentifierHash idHash = element.identifyHash();
 
    auto localPos = indetCluster.localPosition();
    auto localCov = indetCluster.localCovariance();
 
    Eigen::Matrix<float,2,1> localPosition(localPos.x(), localPos.y());
 
    Eigen::Matrix<float,2,2> localCovariance;
    localCovariance.setZero();
    localCovariance(0, 0) = localCov(0, 0);
    localCovariance(1, 1) = localCov(1, 1);
 
    auto globalPos = indetCluster.globalPosition();
    Eigen::Matrix<float, 3, 1> globalPosition(globalPos.x(), globalPos.y(), globalPos.z());
 
    const auto& RDOs = indetCluster.rdoList();
    const auto& ToTs = indetCluster.totList();
    const auto& charges = indetCluster.chargeList();
    const auto& width = indetCluster.width();
    auto omegaX = indetCluster.omegax();
    auto omegaY = indetCluster.omegay();
    auto isSplit = indetCluster.isSplit();
    auto splitProbability1 = indetCluster.splitProbability1();
    auto splitProbability2 = indetCluster.splitProbability2();
 
    xaodCluster.setMeasurement<2>(idHash, localPosition, localCovariance);
    xaodCluster.setIdentifier( indetCluster.identify().get_compact() );
    xaodCluster.setRDOlist(RDOs);
    xaodCluster.globalPosition() = globalPosition;
    xaodCluster.setToTlist(ToTs);
    xaodCluster.setTotalToT( xAOD::xAODInDetMeasurement::Utilities::computeTotalToT(ToTs) );
    xaodCluster.setChargelist(charges);
    xaodCluster.setTotalCharge( xAOD::xAODInDetMeasurement::Utilities::computeTotalCharge(charges) );
    xaodCluster.setLVL1A(indetCluster.LVL1A());
    xaodCluster.setChannelsInPhiEta(width.colRow()[0], width.colRow()[1]);
    xaodCluster.setWidthInEta(static_cast<float>(width.widthPhiRZ()[1]));
    xaodCluster.setOmegas(omegaX, omegaY);
    xaodCluster.setIsSplit(isSplit);
    xaodCluster.setSplitProbabilities(splitProbability1, splitProbability2);
 
    return StatusCode::SUCCESS;
  }
 
 
  StatusCode convertInDetToXaodCluster(const InDet::SCT_Cluster& indetCluster,
                       const InDetDD::SiDetectorElement& element,
                       xAOD::StripCluster& xaodCluster)
  {
    static const double one_over_twelve = 1. / 12.;
    IdentifierHash idHash = element.identifyHash();
 
    auto localPos = indetCluster.localPosition();
    
    Eigen::Matrix<float,1,1> localPosition;
    Eigen::Matrix<float,1,1> localCovariance;
    localCovariance.setZero();
 
    if (element.isBarrel()) {
      localPosition(0, 0) = localPos.x();
      localCovariance(0, 0) = element.phiPitch() * element.phiPitch() * one_over_twelve;
    } else {
      InDetDD::SiCellId cellId = element.cellIdOfPosition(localPos);
      const InDetDD::StripStereoAnnulusDesign *design = dynamic_cast<const InDetDD::StripStereoAnnulusDesign *>(&element.design());
      if ( design == nullptr ) {
    return StatusCode::FAILURE;
      }
      InDetDD::SiLocalPosition localInPolar = design->localPositionOfCellPC(cellId);
      localPosition(0, 0) = localInPolar.xPhi();
      localCovariance(0, 0) = design->phiPitchPhi() * design->phiPitchPhi() * one_over_twelve;
    }
 
    auto globalPos = indetCluster.globalPosition();
    Eigen::Matrix<float, 3, 1> globalPosition(globalPos.x(), globalPos.y(), globalPos.z());
 
    const auto& RDOs = indetCluster.rdoList();
    const auto& width = indetCluster.width();
 
    xaodCluster.setMeasurement<1>(idHash, localPosition, localCovariance);
    xaodCluster.setIdentifier( indetCluster.identify().get_compact() );
    xaodCluster.setRDOlist(RDOs);
    xaodCluster.globalPosition() = globalPosition;
    xaodCluster.setChannelsInPhi(width.colRow()[0]);
 
    return StatusCode::SUCCESS;
  }
 
  StatusCode convertXaodToInDetCluster(const xAOD::PixelCluster& xaodCluster,
                       const InDetDD::SiDetectorElement& element,
                       const PixelID& pixelID,
                       InDet::PixelCluster*& indetCluster)
  {
    const InDetDD::PixelModuleDesign* design(dynamic_cast<const InDetDD::PixelModuleDesign*>(&element.design()));
    if (design == nullptr) {
      return StatusCode::FAILURE;
    }
 
    const auto& locPos = xaodCluster.localPosition<2>();
    Amg::Vector2D localPosition(locPos(0,0), locPos(1,0));
 
    InDetDD::SiLocalPosition centroid(localPosition);
    const Identifier id = element.identifierOfPosition(centroid);
 
    const auto& globalPos = xaodCluster.globalPosition();
    Amg::Vector3D globalPosition(globalPos(0, 0), globalPos(1, 0), globalPos(2, 0));
 
    auto errorMatrix = Amg::MatrixX(2,2);
    errorMatrix.setIdentity();
    errorMatrix.fillSymmetric(0, 0, xaodCluster.localCovariance<2>()(0, 0));
    errorMatrix.fillSymmetric(1, 1, xaodCluster.localCovariance<2>()(1, 1));
 
    int colmax = std::numeric_limits<int>::min();
    int rowmax = std::numeric_limits<int>::min();
    int colmin = std::numeric_limits<int>::max();
    int rowmin = std::numeric_limits<int>::max();
 
    const std::vector<Identifier>& rod_list_cluster = xaodCluster.rdoList();
    for (const auto& this_rdo : rod_list_cluster) {
      const int row = pixelID.phi_index(this_rdo);
      if (row > rowmax)
    rowmax = row;
      if (row < rowmin)
    rowmin = row;
 
      const int col = pixelID.eta_index(this_rdo);
      if (col > colmax)
    colmax = col;
      if (col < colmin)
    colmin = col;
    }
 
    double etaWidth = design->widthFromColumnRange(colmin, colmax);
    double phiWidth = design->widthFromRowRange(rowmin, rowmax);
    InDet::SiWidth width( Amg::Vector2D(xaodCluster.channelsInPhi(), xaodCluster.channelsInEta()),
              Amg::Vector2D(phiWidth,etaWidth) );
 
    indetCluster = new InDet::PixelCluster(id,
                       localPosition,
                       globalPosition,
                       std::vector<Identifier>(xaodCluster.rdoList()),
                       xaodCluster.lvl1a(),
                       std::vector<int>(xaodCluster.totList()),
                       std::vector<float>(xaodCluster.chargeList()),
                       width,
                       &element,
                       std::move(errorMatrix),
                       xaodCluster.omegaX(),
                       xaodCluster.omegaY(),
                       xaodCluster.isSplit(),
                       xaodCluster.splitProbability1(),
                       xaodCluster.splitProbability2());
 
    return StatusCode::SUCCESS;
  }
 
  StatusCode convertXaodToInDetCluster(const xAOD::StripCluster& xaodCluster,
                                       const InDetDD::SiDetectorElement& element,
                                       const SCT_ID& stripID,
                                       InDet::SCT_Cluster*& indetCluster,
                       double shift)
  {
    static const double one_over_twelve = 1. / 12.;
 
    bool isBarrel = element.isBarrel();
    const InDetDD::SCT_ModuleSideDesign* design = nullptr;
    if (not isBarrel) {
      design = dynamic_cast<const InDetDD::StripStereoAnnulusDesign*>(&element.design());
    } else {
      design = dynamic_cast<const InDetDD::SCT_ModuleSideDesign*>(&element.design());
    }
 
    if (design == nullptr) {
      return StatusCode::FAILURE;
    }
 
    const auto designShape = design->shape();
 
 
    const auto& rdoList = xaodCluster.rdoList();
    Identifier id = rdoList.front();
 
    const auto& localPos = xaodCluster.localPosition<1>();
 
    double pos_x = localPos(0, 0);
    double pos_y = 0;
    if (not isBarrel) {
      const Identifier firstStripId = rdoList.front();
      int firstStrip = stripID.strip(firstStripId);
      int stripRow = stripID.row(firstStripId);
      int clusterSizeInStrips = xaodCluster.channelsInPhi();
      auto clusterPosition = design->localPositionOfCluster(design->strip1Dim(firstStrip, stripRow), clusterSizeInStrips);
      pos_x = clusterPosition.xPhi() + shift;
      pos_y = clusterPosition.xEta();
    }
 
    Amg::Vector2D locpos = Amg::Vector2D( pos_x, pos_y );
 
    // Most of the following is taken from what is done in ClusterMakerTool
    // Need to make this computation instead of using the local pos
    // with local pos instead some differences w.r.t. reference are observed
    const auto& firstStrip = stripID.strip(rdoList.front());
    const auto& lastStrip = stripID.strip(rdoList.back());
    const auto& row = stripID.row(rdoList.front());
    const int firstStrip1D = design->strip1Dim (firstStrip, row );
    const int lastStrip1D = design->strip1Dim( lastStrip, row );
    const InDetDD::SiCellId cell1(firstStrip1D);
    const InDetDD::SiCellId cell2(lastStrip1D);
    const InDetDD::SiLocalPosition firstStripPos( element.rawLocalPositionOfCell(cell1 ));
    const InDetDD::SiLocalPosition lastStripPos( element.rawLocalPositionOfCell(cell2) );
    const InDetDD::SiLocalPosition centre( (firstStripPos+lastStripPos) * 0.5 );
    const double clusterWidth = design->stripPitch() * ( lastStrip - firstStrip + 1 );
 
    const std::pair<InDetDD::SiLocalPosition, InDetDD::SiLocalPosition> ends( design->endsOfStrip(centre) );
    const double stripLength( std::abs(ends.first.xEta() - ends.second.xEta()) );
 
    InDet::SiWidth width( Amg::Vector2D(xaodCluster.channelsInPhi(), 1),
              Amg::Vector2D(clusterWidth, stripLength) );
 
    const double col_x = width.colRow().x();
    const double col_y = width.colRow().y();
 
    double scale_factor = 1.;
    if ( col_x  == 1 )
      scale_factor = 1.05;
    else if ( col_x == 2 )
      scale_factor = 0.27;
 
    auto errorMatrix = Amg::MatrixX(2,2);
    errorMatrix.setIdentity();
    errorMatrix.fillSymmetric(0, 0, scale_factor * scale_factor * width.phiR() * width.phiR() * one_over_twelve);
    errorMatrix.fillSymmetric(1, 1, width.z() * width.z() / col_y / col_y * one_over_twelve);
 
    if( designShape == InDetDD::Trapezoid or
    designShape == InDetDD::Annulus) {
      // rotation for endcap SCT
 
      // The following is being computed with the local position,
      // without considering the lorentz shift
      // So we remove it from the local position
      Amg::Vector2D local(pos_x - shift, pos_y);
      double sn = element.sinStereoLocal(local);
      double sn2 = sn * sn;
      double cs2 = 1. - sn2;
      double w = element.phiPitch(local) / element.phiPitch();
      double v0 = errorMatrix(0,0) * w * w;
      double v1 = errorMatrix(1,1);
      errorMatrix.fillSymmetric( 0, 0, cs2 * v0 + sn2 * v1 );
      errorMatrix.fillSymmetric( 0, 1, sn * std::sqrt(cs2) * (v0 - v1) );
      errorMatrix.fillSymmetric( 1, 1, sn2 * v0 + cs2 * v1 );
    }
 
    indetCluster = new InDet::SCT_Cluster(id,
                      locpos,
                      std::vector<Identifier>(rdoList),
                      width,
                      &element,
                      std::move(errorMatrix));
 
    return StatusCode::SUCCESS;
  }
 
  StatusCode convertXaodToInDetCluster(const xAOD::HGTDCluster& xaodCluster,
                                       const InDetDD::HGTD_DetectorElement& element,
                                       ::HGTD_Cluster*& indetCluster) {
 
    const auto& locPos = xaodCluster.localPosition<3>(); 
    Amg::Vector2D localPosition(locPos(0,0), locPos(1,0));
    float time = locPos(2,0);
 
    InDetDD::SiLocalPosition centroid(localPosition);
    const Identifier id = element.identifierOfPosition(centroid);
 
    auto errorMatrix = Amg::MatrixX(2,2);
    errorMatrix.setIdentity();
    errorMatrix.fillSymmetric(0, 0, xaodCluster.localCovariance<3>()(0, 0));
    errorMatrix.fillSymmetric(1, 1, xaodCluster.localCovariance<3>()(1, 1));    
    float time_resolution = std::sqrt(xaodCluster.localCovariance<3>()(2, 2));
 
    double etaWidth = 1.3;
    double phiWidth = 1.3;
    int channelsPhi = 1;
    int channelsEta = 1;
    InDet::SiWidth width( Amg::Vector2D(channelsPhi, channelsEta), Amg::Vector2D(phiWidth, etaWidth) );
 
    indetCluster = new ::HGTD_Cluster(id,
                      localPosition,
                      std::vector<Identifier>(xaodCluster.rdoList()),
                      width,
                      &element,
                      std::move(errorMatrix),
                      time,
                      time_resolution,
                      std::vector<int>(xaodCluster.totList()));                   
 
    return StatusCode::SUCCESS;
  }
  
} // Namespace