ecal::EcalWABRecProcessor Class Reference

Public Member Functions
	EcalWABRecProcessor (const std::string &name, framework::Process &process)
void	onProcessEnd () override
	Callback for the EventProcessor to take any necessary action when the processing of events finishes, such as calculating job-summary quantities.
void	configure (framework::config::Parameters &parameters) override
	Callback for the EventProcessor to configure itself from the given set of parameters.
void	produce (framework::Event &event) override
	Process the event and put new data products into it.
Public Member Functions inherited from framework::Producer
	Producer (const std::string &name, Process &process)
	Class constructor.
virtual void	process (Event &event) final
	Processing an event for a Producer is calling produce.
Public Member Functions inherited from framework::EventProcessor
	DECLARE_FACTORY (EventProcessor, EventProcessor *, const std::string &, Process &)
	declare that we have a factory for this class
	EventProcessor (const std::string &name, Process &process)
	Class constructor.
virtual	~EventProcessor ()=default
	Class destructor.
virtual void	beforeNewRun (ldmx::RunHeader &run_header)
	Callback for Producers to add parameters to the run header before conditions are initialized.
virtual void	onNewRun (const ldmx::RunHeader &run_header)
	Callback for the EventProcessor to take any necessary action when the run being processed changes.
virtual void	onFileOpen (EventFile &event_file)
	Callback for the EventProcessor to take any necessary action when a new event input ROOT file is opened.
virtual void	onFileClose (EventFile &event_file)
	Callback for the EventProcessor to take any necessary action when a event input ROOT file is closed.
virtual void	onProcessStart ()
	Callback for the EventProcessor to take any necessary action when the processing of events starts, such as creating histograms.
template<class T >
const T &	getCondition (const std::string &condition_name)
	Access a conditions object for the current event.
TDirectory *	getHistoDirectory ()
	Access/create a directory in the histogram file for this event processor to create histograms and analysis tuples.
void	setStorageHint (framework::StorageControl::Hint hint)
	Mark the current event as having the given storage control hint from this module_.
void	setStorageHint (framework::StorageControl::Hint hint, const std::string &purposeString)
	Mark the current event as having the given storage control hint from this module and the given purpose string.
int	getLogFrequency () const
	Get the current logging frequency from the process.
int	getRunNumber () const
	Get the run number from the process.
std::string	getName () const
	Get the processor name.
void	createHistograms (const std::vector< framework::config::Parameters > &histos)
	Internal function which is used to create histograms passed from the python configuration @parma histos vector of Parameters that configure histograms to create.

Private Member Functions
std::tuple< Eigen::VectorXd, float, int, Eigen::MatrixXd, int >	fit2DTracksConstrained (const std::vector< float > &x1, const std::vector< float > &y1, const std::vector< float > &s1, const std::vector< float > &x2, const std::vector< float > &y2, const std::vector< float > &s2, const std::vector< double > &guess, int maxIter, int verbosity, float dchisq, float abs_lim)
std::pair< Eigen::VectorXd, Eigen::VectorXd >	polyfitXYvsZ (const std::vector< float > &x, const std::vector< float > &y, const std::vector< float > &z, int degree)

Private Attributes
std::string	sp_pass_name_
std::string	rec_pass_name_
std::string	rec_coll_name_
std::string	track_pass_name_
std::string	track_coll_name_
int	nevents_ {0}
float	processing_time_ {0.}
std::string	collection_name_ {"EcalWABRec"}
	Name of the collection which will contain the results.

Additional Inherited Members
Protected Member Functions inherited from framework::EventProcessor
void	abortEvent ()
	Abort the event immediately.
Protected Attributes inherited from framework::EventProcessor
HistogramPool	histograms_
	helper object for making and filling histograms
NtupleManager &	ntuple_ {NtupleManager::getInstance()}
	Manager for any ntuples.
logging::logger	the_log_
	The logger for this EventProcessor.

Detailed Description

Definition at line 37 of file EcalWABRecProcessor.h.

Constructor & Destructor Documentation

EcalWABRecProcessor()

ecal::EcalWABRecProcessor::EcalWABRecProcessor ( const std::string & name, framework::Process & process )

inline

Definition at line 39 of file EcalWABRecProcessor.h.

      : Producer(name, process) {}

Member Function Documentation

configure()

void ecal::EcalWABRecProcessor::configure ( framework::config::Parameters & parameters )

overridevirtual

Callback for the EventProcessor to configure itself from the given set of parameters.

The parameters a processor has access to are the member variables of the python class in the sequence that has className equal to the EventProcessor class name.

For an example, look at MyProcessor.

Parameters

parameters

Parameters for configuration.

Reimplemented from framework::EventProcessor.

Definition at line 57 of file EcalWABRecProcessor.cxx.

                                                                         {
  // Set the collection name as defined in the configuration
  sp_pass_name_ = parameters.get<std::string>("sp_pass_name");
  collection_name_ = parameters.get<std::string>("collection_name");
  rec_pass_name_ = parameters.get<std::string>("rec_pass_name");
  rec_coll_name_ = parameters.get<std::string>("rec_coll_name");
  track_pass_name_ = parameters.get<std::string>("track_pass_name");
  track_coll_name_ = parameters.get<std::string>("track_coll_name");
}

References collection_name_, and framework::config::Parameters::get().

fit2DTracksConstrained()

std::tuple< Eigen::VectorXd, float, int, Eigen::MatrixXd, int > ecal::EcalWABRecProcessor::fit2DTracksConstrained ( const std::vector< float > & x1, const std::vector< float > & y1, const std::vector< float > & s1, const std::vector< float > & x2, const std::vector< float > & y2, const std::vector< float > & s2, const std::vector< double > & guess, int maxIter, int verbosity, float dchisq, float abs_lim )

private

Definition at line 545 of file EcalWABRecProcessor.cxx.

                   {
  /*
    Function that fits two 2D tracks with a vertex constraint (same intercepts).
    The fitted model is initially defined as:
      y1 = par[0] * x1 + abs_lim * tanh(par[2] / abs_lim)
      y2 = par[1] * x2 + abs_lim * tanh(par[2] / abs_lim)
    After updating parameters the fitted values are computed as:
      y1 = par[0] * (x1 - par[2])
      y2 = par[1] * (x2 - par[2])
 
    Inputs:
      x1, y1, s1 : measured coordinates and errors for track 1
      x2, y2, s2 : measured coordinates and errors for track 2
      guess     : initial guess for the parameter vector (size 3)
      max_iter   : maximum number of iterations (default 20)
      verbose : level of verbose (default 0)
      d_chisq    : stopping criterion for chi-squared improvement (default
    0.001) abs_lim   : a parameter used in the fit (default 10) Returns: A tuple
    containing: par    : fitted parameters (Eigen::VectorXd of size 3) chisq  :
    chi-squared at minimum (float) ndof   : number of degrees of freedom (int)
        cov    : covariance matrix (Eigen::MatrixXd 3x3)
        niter  : number of iterations used (int)
  */
  // Copy the initial guess into a 3-element parameter vector
  Eigen::VectorXd par(3);
  par(0) = guess[0];
  par(1) = guess[1];
  par(2) = guess[2];
 
  // Determine number of points in each track and total
  int n1 = x1.size();
  int n2 = x2.size();
  int n = n1 + n2;
 
  // Concatenate x_, y_, and s into Eigen vectors of size n.
  Eigen::VectorXd x(n), y(n), s(n);
  for (int i = 0; i < n1; ++i) {
    x(i) = x1[i];
    y(i) = y1[i];
    s(i) = s1[i];
  }
  for (int i = 0; i < n2; ++i) {
    x(n1 + i) = x2[i];
    y(n1 + i) = y2[i];
    s(n1 + i) = s2[i];
  }
 
  // Build the weight matrix W = diag(1/s_i^2)
  Eigen::MatrixXd w = Eigen::MatrixXd::Zero(n, n);
  for (int i = 0; i < n; ++i) {
    w(i, i) = 1.0 / ((s(i)) * (s(i)));
  }
 
  float chi_sq = 0.0;
  float old_chi_sq = 1e12;  // a large initial value
  int n_iter = 0;
  Eigen::MatrixXd cov(3, 3);  // covariance matrix
 
  // Iterative fitting loop
  for (int iter = 0; iter < max_iter; ++iter) {
    n_iter = iter + 1;
 
    // Compute fitted y coordinates for each track using the current
    // parameters. For track 1: y1_fit = par[0] * x1 + abs_lim *
    // tanh(par[2]/abs_lim) For track 2: y2_fit = par[1] * x2 + abs_lim *
    // tanh(par[2]/abs_lim)
    Eigen::VectorXd y1_fit(n1), y2_fit(n2);
    float tanh_term = std::tanh(par(2) / abs_lim);
    for (int i = 0; i < n1; ++i) {
      y1_fit(i) = par(0) * x1[i] + abs_lim * tanh_term;
    }
    for (int i = 0; i < n2; ++i) {
      y2_fit(i) = par(1) * x2[i] + abs_lim * tanh_term;
    }
 
    // Concatenate the fitted values
    Eigen::VectorXd y_fit(n);
    for (int i = 0; i < n1; ++i) {
      y_fit(i) = y1_fit(i);
    }
    for (int i = 0; i < n2; ++i) {
      y_fit(n1 + i) = y2_fit(i);
    }
 
    // Compute chi-squared: sum_i [ (y_fit[i]-y_[i])^2 / s[i]^2 ]
    chi_sq = 0.0;
    for (int i = 0; i < n; ++i) {
      float diff = y_fit(i) - y(i);
      chi_sq += (diff * diff) / ((s(i)) * (s(i)));
    }
 
    if (verbose > 0) {
      ldmx_log(debug) << "Before iteration " << iter << ", chi_sq = " << chi_sq;
      ldmx_log(debug) << "Track 1 residuals: ";
      for (int i = 0; i < n1; ++i) {
        ldmx_log(debug) << (y1_fit(i) - y1[i]);
      }
      ldmx_log(debug) << "Track 2 residuals: ";
      for (int i = 0; i < n2; ++i) {
        ldmx_log(debug) << (y2_fit(i) - y2[i]);
      }
    }
 
    // Compute the derivatives (Jacobian components)
    // For track 1:
    //   dy1/dpar0 = x1,   dy1/dpar1 = 0,   dy1/dpar2 =
    //   (1/cosh(par[2]/abs_lim))^2 (constant for all points)
    // For track 2:
    //   dy2/dpar0 = 0,   dy2/dpar1 = x2,   dy2/dpar2 =
    //   (1/cosh(par[2]/abs_lim))^2
    Eigen::VectorXd dy1_dpar_0(n1), dy1_dpar_1 = Eigen::VectorXd::Zero(n1),
                                    dy1_dpar_2(n1);
    Eigen::VectorXd dy2_dpar_0 = Eigen::VectorXd::Zero(n2), dy2_dpar_1(n2),
                    dy2_dpar_2(n2);
 
    float d_term = 1.0 / std::cosh(par(2) / abs_lim);
    d_term = d_term * d_term;  // square it
    for (int i = 0; i < n1; ++i) {
      dy1_dpar_0(i) = x1[i];
      dy1_dpar_2(i) = d_term;
    }
    for (int i = 0; i < n2; ++i) {
      dy2_dpar_1(i) = x2[i];
      dy2_dpar_2(i) = d_term;
    }
 
    // Concatenate the derivatives for both tracks into full vectors of length
    // n.
    Eigen::VectorXd dy_dpar_0(n), dy_dpar_1(n), dy_dpar_2(n);
    for (int i = 0; i < n1; ++i) {
      dy_dpar_0(i) = dy1_dpar_0(i);
      dy_dpar_1(i) = dy1_dpar_1(i);
      dy_dpar_2(i) = dy1_dpar_2(i);
    }
    for (int i = 0; i < n2; ++i) {
      dy_dpar_0(n1 + i) = dy2_dpar_0(i);
      dy_dpar_1(n1 + i) = dy2_dpar_1(i);
      dy_dpar_2(n1 + i) = dy2_dpar_2(i);
    }
 
    // Build the "A" matrix (the Jacobian) in its transposed form (3 x n)
    Eigen::MatrixXd a_trans(3, n);
    a_trans.row(0) = dy_dpar_0.transpose();
    a_trans.row(1) = dy_dpar_1.transpose();
    a_trans.row(2) = dy_dpar_2.transpose();
 
    // The Jacobian (n x 3) is the transpose of a_trans.
    Eigen::MatrixXd a = a_trans.transpose();
 
    // The residual vector (difference between measured and fitted y values)
    Eigen::VectorXd dy_vec = y - y_fit;
 
    // Compute the (3 x 3) matrix: M = a_trans * W * a
    Eigen::MatrixXd temp = a_trans * w;  // 3 x n
    Eigen::MatrixXd temp2 = temp * a;    // 3 x 3
 
    // Add a regularization term to ensure numerical stability.
    Eigen::MatrixXd reg =
        1e-10 * Eigen::MatrixXd::Identity(temp2.rows(), temp2.cols());
    Eigen::MatrixXd temp2_reg = temp2 + reg;
 
    // Invert the matrix to obtain the covariance matrix.
    cov = temp2_reg.inverse();
 
    // Compute the parameter correction: dpar = cov * a_trans * W * dy_vec
    Eigen::MatrixXd temp4 = cov * a_trans;  // 3 x n
    Eigen::MatrixXd temp5 = temp4 * w;      // 3 x n
    Eigen::VectorXd dpar = temp5 * dy_vec;  // 3 x 1
 
    // Update the parameters
    par += dpar;
 
    // After the update, the fitted y values are recalculated with a different
    // formula:
    //   y1_fit = par[0]*(x1 - par[2])
    //   y2_fit = par[1]*(x2 - par[2])
    for (int i = 0; i < n1; ++i) {
      y1_fit(i) = par(0) * (x1[i] - par(2));
    }
    for (int i = 0; i < n2; ++i) {
      y2_fit(i) = par(1) * (x2[i] - par(2));
    }
    for (int i = 0; i < n1; ++i) {
      y_fit(i) = y1_fit(i);
    }
    for (int i = 0; i < n2; ++i) {
      y_fit(n1 + i) = y2_fit(i);
    }
 
    // Recompute chi-squared with the updated fitted values.
    float new_chi_sq = 0.0;
    for (int i = 0; i < n; ++i) {
      float diff = y_fit(i) - y(i);
      new_chi_sq += (diff * diff) / ((s(i)) * (s(i)));
    }
    chi_sq = new_chi_sq;
 
    // Check for convergence
    if (iter > 0) {
      if (std::abs(chi_sq - old_chi_sq) < d_chisq) {
        break;
      }
    }
    old_chi_sq = chi_sq;
  }  // end for loop
 
  if (verbose > 0) {
    ldmx_log(debug) << "At the end chi_sq = " << chi_sq;
    ldmx_log(debug) << "Scaled residuals for track 1:";
    for (int i = 0; i < n1; ++i) {
      float fit_val = par(0) * (x1[i] - par(2));
      ldmx_log(debug) << 10000 * (fit_val - y1[i]);
    }
    ldmx_log(debug) << "Scaled residuals for track 2:";
    for (int i = 0; i < n2; ++i) {
      float fit_val = par(1) * (x2[i] - par(2));
      ldmx_log(debug) << 10000 * (fit_val - y2[i]);
    }
  }
 
  int ndof = n1 + n2 - 3;
  return std::make_tuple(par, chi_sq, ndof, cov, n_iter);
}

onProcessEnd()

void ecal::EcalWABRecProcessor::onProcessEnd ( )

overridevirtual

Callback for the EventProcessor to take any necessary action when the processing of events finishes, such as calculating job-summary quantities.

Reimplemented from framework::EventProcessor.

Definition at line 539 of file EcalWABRecProcessor.cxx.

                                       {
  ldmx_log(info) << "AVG Time/Event: " << std::fixed << std::setprecision(2)
                 << processing_time_ / nevents_ << " ms";
}

polyfitXYvsZ()

std::pair< Eigen::VectorXd, Eigen::VectorXd > ecal::EcalWABRecProcessor::polyfitXYvsZ ( const std::vector< float > & x, const std::vector< float > & y, const std::vector< float > & z, int degree )

private

Definition at line 774 of file EcalWABRecProcessor.cxx.

                                            {
  /*
    Function that fits two polynomials (x_ vs. z and y vs. z_) to 3D hit
    position data using a least-squares method. The fitted models are defined
    as: x = a₀
    + a₁ * z + a₂ * z_² + ... + aₙ * zⁿ
    y = b₀ + b₁ * z + b₂ * z_² + ... + bₙ * zⁿ
    where n is the specified polynomial degree.
 
    Inputs:
      x_, y_, z : measured coordinates for the tracks;
                x and y are the dependent variables, and z is the independent
    variable (all provided as std::vector<float>) degree  : degree of the
    polynomial to be fitted (int)
 
    Returns:
      A pair containing:
        first  : polynomial coefficients for the x vs. z fit (Eigen::VectorXd)
        second : polynomial coefficients for the y vs. z fit (Eigen::VectorXd)
 
    Notes:
      The polynomial is represented with the constant term first (i.e., [a₀, a₁,
    ..., aₙ]), so the linear term (slope) is located at index_ 1.
  */
  const size_t n = z_.size();
  if (n == 0 || x_.size() != n || y_.size() != n) {
    throw std::invalid_argument(
        "Vectors x_, y_, and z must be non-empty and have the same size.");
  }
 
  // Construct the Vandermonde (design) matrix A (n x (degree + 1)):
  // Each row i: [1, z_[i], z_[i]^2, ..., z_[i]^degree]
  Eigen::MatrixXd a(n, degree + 1);
  for (size_t i = 0; i < n; ++i) {
    float term = 1.0;
    for (int j = 0; j <= degree; ++j) {
      a(i, j) = term;
      term *= z_[i];
    }
  }
 
  // Map the x and y data into Eigen vectors.
  Eigen::VectorXd bx(n), by(n);
  for (size_t i = 0; i < n; ++i) {
    bx(i) = x_[i];
    by(i) = y_[i];
  }
 
  // Solve the least-squares problems:
  // A * coeffsX ≈ bx and A * coeffsY ≈ by
  Eigen::VectorXd coeffs_x = a.colPivHouseholderQr().solve(bx);
  Eigen::VectorXd coeffs_y = a.colPivHouseholderQr().solve(by);
 
  return {coeffs_x, coeffs_y};
}

produce()

void ecal::EcalWABRecProcessor::produce ( framework::Event & event )

overridevirtual

Process the event and put new data products into it.

Parameters

event

The Event to process.

Implements framework::Producer.

Definition at line 67 of file EcalWABRecProcessor.cxx.

                                                       {
  // Define start time for processing
  auto start = std::chrono::high_resolution_clock::now();
  nevents_++;
 
  // Keep track of event progress where:
  // 0: No tracks found
  // 1: Track found but not enough info to reconstruct either electron or photon
  // 2: Track found and enough info to reconstruct electron
  // 3: Track found and enough info to reconstruct electron and photon
  int progress_num = 0;
 
  // Get the Ecal Geometry
  const ldmx::EcalGeometry* geometry = &getCondition<ldmx::EcalGeometry>(
      ldmx::EcalGeometry::CONDITIONS_OBJECT_NAME);
 
  // Get the collection of ecal_rec_hits and tracks
  const std::vector<ldmx::EcalHit> ecal_rec_hits =
      event.getCollection<ldmx::EcalHit>(rec_coll_name_, rec_pass_name_);
  const std::vector<ldmx::StraightTrack> linear_tracks =
      event.getCollection<ldmx::StraightTrack>(track_coll_name_,
                                               track_pass_name_);
 
  // Define variables to save recoil electron/photon information (SP)
  std::vector<double> recoil_e_p, recoil_y_p;
  std::vector<float> recoil_e_pos, recoil_y_pos;
 
  // Result object that stores kinematic variables
  ldmx::EcalWABResult result;
 
  // Define kinematic variables
  const std::vector<float> z_hat = {0, 0, 1};
  float true_theta_electron = -9.;
  float true_theta_photon = -9.;
  float true_phi_electron = -9.;
  float true_phi_photon = -9.;
  float rec_theta_electron = -9.;
  float rec_theta_photon = -9.;
  float rec_phi_electron = -9.;
  float rec_phi_photon = -9.;
  float true_theta_diff_electron_photon = -9.;
  float true_phi_diff_electron_photon = -9.;
  float rec_theta_diff_electron_photon = -9.;
  float rec_phi_diff_electron_photon = -9.;
  float true_rec_theta_diff_electron = -9.;
  float true_rec_phi_diff_electron = -9.;
  float true_rec_theta_diff_photon = -9.;
  float true_rec_phi_diff_photon = -9.;
  float true_electron_shower_energy = -999.;
  float true_photon_shower_energy = -999.;
  float rec_electron_shower_energy = -999.;
  float rec_photon_shower_energy = -999.;
 
  // Create lists for rec hits_ and electron/photon shower hits_
  std::vector<std::array<float, 6>> rec_hit_list;
  std::vector<std::array<float, 6>> ele_hit_list;
  std::vector<std::array<float, 6>> phot_hit_list;
 
  // Save rec hit info to rec_hit_list
  for (const ldmx::EcalHit& hit : ecal_rec_hits) {
    ldmx::EcalID id(hit.getID());
    auto pos = geometry->getPosition(id);
    auto [x_, y_, z_] = std::apply(
        [](double a, double b, double c) {
          return std::make_tuple(static_cast<float>(a), static_cast<float>(b),
                                 static_cast<float>(c));
        },
        pos);
    float energy = hit.getEnergy();
    float layer_num = id.layer();
    rec_hit_list.push_back({x_, y_, z_, layer_num, 0, energy});
  }
 
  if (event.exists("TargetScoringPlaneHits", sp_pass_name_)) {
    //
    // Loop through all of the sim particles and find the recoil
    // photon/electron.
    //
 
    // Find Target SP hit for recoil photon/electron
    const std::vector<ldmx::SimTrackerHit> target_sp_hits =
        event.getCollection<ldmx::SimTrackerHit>("TargetScoringPlaneHits",
                                                 sp_pass_name_);
    float photon_p_zmax = 0, electron_p_zmax = 0;
    for (const ldmx::SimTrackerHit& sp_hit : target_sp_hits) {
      ldmx::SimSpecialID hit_id(sp_hit.getID());
      if (hit_id.plane() != 1 || sp_hit.getMomentum()[2] <= 0) continue;
 
      if (sp_hit.getPdgID() == 11) {
        if (sp_hit.getMomentum()[2] > electron_p_zmax) {
          recoil_e_p = sp_hit.getMomentum();
          true_electron_shower_energy = sp_hit.getEnergy();
          recoil_e_pos = sp_hit.getPosition();
          electron_p_zmax = recoil_e_p[2];
        }
      }
      if (sp_hit.getPdgID() == 22) {
        if (sp_hit.getMomentum()[2] > photon_p_zmax) {
          recoil_y_p = sp_hit.getMomentum();
          true_photon_shower_energy = sp_hit.getEnergy();
          recoil_y_pos = sp_hit.getPosition();
          photon_p_zmax = recoil_y_p[2];
        }
      }
    }
 
    // Calculating true theta values using SP hit parameters
    if (recoil_y_p.size() == 3 &&
        std::sqrt((recoil_y_p[0]) * (recoil_y_p[0]) +
                  (recoil_y_p[1]) * (recoil_y_p[1]) +
                  (recoil_y_p[2]) * (recoil_y_p[2])) != 0 &&
        recoil_e_p.size() == 3 &&
        std::sqrt((recoil_e_p[0]) * (recoil_e_p[0]) +
                  (recoil_e_p[1]) * (recoil_e_p[1]) +
                  (recoil_e_p[2]) * (recoil_e_p[2])) != 0) {
      true_theta_electron =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(recoil_e_p.begin(), recoil_e_p.end(),
                                       z_hat.begin(), 0.0) /
                    std::sqrt((recoil_e_p[0]) * (recoil_e_p[0]) +
                              (recoil_e_p[1]) * (recoil_e_p[1]) +
                              (recoil_e_p[2]) * (recoil_e_p[2])));
      true_theta_photon =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(recoil_y_p.begin(), recoil_y_p.end(),
                                       z_hat.begin(), 0.0) /
                    std::sqrt((recoil_y_p[0]) * (recoil_y_p[0]) +
                              (recoil_y_p[1]) * (recoil_y_p[1]) +
                              (recoil_y_p[2]) * (recoil_y_p[2])));
    }
 
    // Calculating true phi values using SP hit parameters
    if (recoil_y_p.size() == 3 && recoil_y_p[2] != 0 &&
        recoil_e_p.size() == 3 && recoil_e_p[2] != 0) {
      true_phi_electron =
          (180 / std::numbers::pi) * std::atan(recoil_e_p[1] / recoil_e_p[0]);
      if (recoil_e_p[1] < 0) {
        true_phi_electron += 180;
      }
      if (recoil_e_p[0] < 0 && recoil_e_p[1] > 0) {
        true_phi_electron += 360;
      }
      true_phi_photon =
          (180 / std::numbers::pi) * std::atan(recoil_y_p[1] / recoil_y_p[0]);
      if (recoil_y_p[1] < 0) {
        true_phi_photon += 180;
      }
      if (recoil_y_p[0] < 0 && recoil_y_p[1] > 0) {
        true_phi_photon += 360;
      }
    }
 
    // Calculating true delta_phi/delta_theta using SP hit parameters
    if (recoil_y_p.size() == 3 && recoil_e_p.size() == 3) {
      std::array<double, 2> phi_diff_electron_arr = {recoil_e_p[0],
                                                     recoil_e_p[1]};
      std::array<double, 2> phi_diff_photon_arr = {recoil_y_p[0],
                                                   recoil_y_p[1]};
      std::array<double, 2> theta_diff_electron_arr = {recoil_e_p[2],
                                                       recoil_e_p[0]};
      std::array<double, 2> theta_diff_photon_arr = {recoil_y_p[2],
                                                     recoil_y_p[0]};
 
      true_theta_diff_electron_photon =
          (180 / std::numbers::pi) *
          std::acos(
              std::inner_product(theta_diff_electron_arr.begin(),
                                 theta_diff_electron_arr.end(),
                                 theta_diff_photon_arr.begin(), 0.0) /
              (std::sqrt((theta_diff_electron_arr[0]) *
                             (theta_diff_electron_arr[0]) +
                         (theta_diff_electron_arr[1]) *
                             (theta_diff_electron_arr[1])) *
               std::sqrt(
                   (theta_diff_photon_arr[0]) * (theta_diff_photon_arr[0]) +
                   (theta_diff_photon_arr[1]) * (theta_diff_photon_arr[1]))));
      true_phi_diff_electron_photon =
          (180 / std::numbers::pi) *
          std::acos(
              std::inner_product(phi_diff_electron_arr.begin(),
                                 phi_diff_electron_arr.end(),
                                 phi_diff_photon_arr.begin(), 0.0) /
              (std::sqrt(
                   (phi_diff_electron_arr[0]) * (phi_diff_electron_arr[0]) +
                   (phi_diff_electron_arr[1]) * (phi_diff_electron_arr[1])) *
               std::sqrt((phi_diff_photon_arr[0]) * (phi_diff_photon_arr[0]) +
                         (phi_diff_photon_arr[1]) * (phi_diff_photon_arr[1]))));
    }
  }
 
  // Defining variables to save best fit results
  std::pair<Eigen::VectorXd, Eigen::VectorXd> linear_fit_coeffs;
  std::tuple<Eigen::VectorXd, float, int, Eigen::MatrixXd, int> best_x_result;
  std::tuple<Eigen::VectorXd, float, int, Eigen::MatrixXd, int> best_y_result;
  std::get<1>(best_x_result) = 10e99;
  std::get<1>(best_y_result) = 10e99;
 
  // Looping over tracks to find best fit to hits_
  std::vector<float> ele_roc = RADIUS_68_THETA_30_TO_90;
  for (const ldmx::StraightTrack& track : linear_tracks) {
    progress_num = 1;
    // Determining the RoC value to use based on recoil electron (track) theta
    std::vector<double> track_vec = {track.getSlopeX(), track.getSlopeY(), 1};
    float track_theta =
        (180 / std::numbers::pi) *
        std::acos(std::inner_product(track_vec.begin(), track_vec.end(),
                                     z_hat.begin(), 0.0) /
                  std::sqrt((track_vec[0]) * (track_vec[0]) +
                            (track_vec[1]) * (track_vec[1]) + 1));
    if (track_theta <= 10) {
      ele_roc = RADIUS_68_THETA_0_TO_10;
    } else if (track_theta > 10 && track_theta <= 15) {
      ele_roc = RADIUS_68_THETA_10_TO_15;
    } else if (track_theta > 15 && track_theta <= 20) {
      ele_roc = RADIUS_68_THETA_15_TO_20;
    } else if (track_theta > 20 && track_theta <= 30) {
      ele_roc = RADIUS_68_THETA_20_TO_30;
    }
 
    // Labeling hits_ as electron (1) or photon (0)
    for (std::array<float, 6>& hit : rec_hit_list) {
      if (std::sqrt(
              (hit[0] - (track.getSlopeX() * hit[2] + track.getInterceptX())) *
                  (hit[0] -
                   (track.getSlopeX() * hit[2] + track.getInterceptX())) +
              (hit[1] - (track.getSlopeY() * hit[2] + track.getInterceptY())) *
                  (hit[1] - (track.getSlopeY() * hit[2] +
                             track.getInterceptY()))) < ele_roc[hit[3]]) {
        hit[4] = 1;
      }
    }
    // Create vectors to hold electron/photon hits_ specifically
    std::vector<float> ele_hit_list_x, ele_hit_list_y, ele_hit_list_z;
    std::vector<float> phot_hit_list_x, phot_hit_list_y, phot_hit_list_z;
 
    // Use labels to sort hits_ as electron/photon and calculate shower energies
    for (const auto& hit : rec_hit_list) {
      if (hit[4] == 1) {
        ele_hit_list.push_back(hit);
        ele_hit_list_x.push_back(hit[0]);
        ele_hit_list_y.push_back(hit[1]);
        ele_hit_list_z.push_back(hit[2]);
      } else if (hit[4] == 0) {
        phot_hit_list.push_back(hit);
        phot_hit_list_x.push_back(hit[0]);
        phot_hit_list_y.push_back(hit[1]);
        phot_hit_list_z.push_back(hit[2]);
      }
    }
 
    // Fit both photon/electron or just electron hits_ based on # of viable
    // showers
    if (phot_hit_list.size() >= 3 && ele_hit_list.size() >= 3) {
      progress_num =
          3;  // Set progress_num to 3 to halt electron-only reconstruction
 
      // Generate guesses and error vectors for vertex constrained fit
      std::vector<double> x_guess = {
          track.getSlopeX(),
          (phot_hit_list.back()[0] - phot_hit_list[0][0]) /
              (phot_hit_list.back()[2] - phot_hit_list[0][2]),
          track.getInterceptX()};
      std::vector<double> y_guess = {
          track.getSlopeY(),
          (phot_hit_list.back()[1] - phot_hit_list[0][1]) /
              (phot_hit_list.back()[2] - phot_hit_list[0][2]),
          track.getInterceptY()};
      std::vector<float> phot_hit_error(phot_hit_list.size(),
                                        0.456435464588 * 4.816);
      std::vector<float> ele_hit_error(ele_hit_list.size(),
                                       0.456435464588 * 4.816);
 
      int max_iter = 200;
      // Carry out fit
      std::tuple<Eigen::VectorXd, float, int, Eigen::MatrixXd, int> x_result =
          fit2DTracksConstrained(ele_hit_list_z, ele_hit_list_x, ele_hit_error,
                                 phot_hit_list_z, phot_hit_list_x,
                                 phot_hit_error, x_guess, max_iter, 0, 0.001,
                                 10.0);
 
      std::tuple<Eigen::VectorXd, float, int, Eigen::MatrixXd, int> y_result =
          fit2DTracksConstrained(ele_hit_list_z, ele_hit_list_y, ele_hit_error,
                                 phot_hit_list_z, phot_hit_list_y,
                                 phot_hit_error, y_guess, max_iter, 0, 0.001,
                                 40.0);
 
      // Update best fit variables if current fit is an improvement
      if ((std::get<1>(x_result) + std::get<1>(y_result)) / 2 <
          (std::get<1>(best_x_result) + std::get<1>(best_y_result)) / 2) {
        best_x_result = x_result;
        best_y_result = y_result;
      }
    }
 
    // If there isn't enough info for both electron and photon reconstruction,
    // reconstruct electron if possible
    else if (ele_hit_list.size() >= 3) {
      if (progress_num != 3) {
        progress_num = 2;  // Set progress_num to 3 to indicate electron-only
                           // reconstruction
        linear_fit_coeffs =
            polyfitXYvsZ(ele_hit_list_x, ele_hit_list_y, ele_hit_list_z, 1);
      }
    }
  }
 
  // Calculate kinematic variables for electron and/or photon
  // based on # of viable showers (with reconstruction information)
  if (std::get<0>(best_x_result).size() != 0) {
    rec_electron_shower_energy = 0;
    rec_photon_shower_energy = 0;
    for (const auto& hit : ele_hit_list) {
      rec_electron_shower_energy += hit[5];
    }
    for (const auto& hit : phot_hit_list) {
      rec_photon_shower_energy += hit[5];
    }
 
    std::vector<double> ele_params = {std::get<0>(best_x_result)(0),
                                      std::get<0>(best_y_result)(0)};
    std::vector<double> phot_params = {std::get<0>(best_x_result)(1),
                                       std::get<0>(best_y_result)(1)};
    std::vector<double> ele_params_x = {std::get<0>(best_x_result)(0)};
    std::vector<double> phot_params_x = {std::get<0>(best_x_result)(1)};
 
    rec_theta_electron =
        (180 / std::numbers::pi) *
        std::acos(1 / std::sqrt((ele_params[0]) * (ele_params[0]) +
                                (ele_params[1]) * (ele_params[1]) + 1));
    rec_theta_photon =
        (180 / std::numbers::pi) *
        std::acos(1 / std::sqrt((phot_params[0]) * (phot_params[0]) +
                                (phot_params[1]) * (phot_params[1]) + 1));
 
    rec_phi_electron =
        (180 / std::numbers::pi) * std::atan(ele_params[1] / ele_params[0]);
    if (ele_params[1] < 0) {
      rec_phi_electron += 180;
    }
    if (ele_params[0] < 0 && ele_params[1] > 0) {
      rec_phi_electron += 360;
    }
    rec_phi_photon =
        (180 / std::numbers::pi) * std::atan(phot_params[1] / phot_params[0]);
    if (phot_params[1] < 0) {
      rec_phi_photon += 180;
    }
    if (phot_params[0] < 0 && phot_params[1] > 0) {
      rec_phi_photon += 360;
    }
 
    rec_theta_diff_electron_photon =
        (180 / std::numbers::pi) *
        std::acos(std::inner_product(ele_params_x.begin(), ele_params_x.end(),
                                     phot_params_x.begin(), 1.0) /
                  (std::sqrt((ele_params_x[0]) * (ele_params_x[0]) + (1)) *
                   std::sqrt((phot_params_x[0]) * (phot_params_x[0]) + 1)));
    rec_phi_diff_electron_photon =
        (180 / std::numbers::pi) *
        std::acos(std::inner_product(ele_params.begin(), ele_params.end(),
                                     phot_params.begin(), 0.0) /
                  (std::sqrt((ele_params[0]) * (ele_params[0]) +
                             (ele_params[1]) * (ele_params[1])) *
                   std::sqrt((phot_params[0]) * (phot_params[0]) +
                             (phot_params[1]) * (phot_params[1]))));
 
    if (recoil_y_p.size() == 3 && recoil_y_p[2] != 0 &&
        recoil_e_p.size() == 3 && recoil_e_p[2] != 0) {
      true_rec_theta_diff_electron =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(ele_params_x.begin(), ele_params_x.end(),
                                       recoil_e_p.begin(), recoil_e_p[2]) /
                    (std::sqrt((ele_params_x[0]) * (ele_params_x[0]) + 1) *
                     std::sqrt((recoil_e_p[0]) * (recoil_e_p[0]) +
                               (recoil_e_p[2]) * (recoil_e_p[2]))));
      true_rec_theta_diff_photon =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(phot_params_x.begin(),
                                       phot_params_x.end(), recoil_y_p.begin(),
                                       recoil_y_p[2]) /
                    (std::sqrt((phot_params_x[0]) * (phot_params_x[0]) + 1) *
                     std::sqrt((recoil_y_p[0]) * (recoil_y_p[0]) +
                               (recoil_y_p[2]) * (recoil_y_p[2]))));
      true_rec_phi_diff_electron =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(ele_params.begin(), ele_params.end(),
                                       recoil_e_p.begin(), 0) /
                    (std::sqrt((ele_params[0]) * (ele_params[0]) +
                               (ele_params[1]) * (ele_params[1])) *
                     std::sqrt((recoil_e_p[0]) * (recoil_e_p[0]) +
                               (recoil_e_p[1]) * (recoil_e_p[1]))));
      true_rec_phi_diff_photon =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(phot_params.begin(), phot_params.end(),
                                       recoil_y_p.begin(), 0) /
                    (std::sqrt((phot_params[0]) * (phot_params[0]) +
                               (phot_params[1]) * (phot_params[1])) *
                     std::sqrt((recoil_y_p[0]) * (recoil_y_p[0]) +
                               (recoil_y_p[1]) * (recoil_y_p[1]))));
    }
  } else if (progress_num == 2) {
    rec_electron_shower_energy = 0;
    for (const auto& hit : ele_hit_list) {
      rec_electron_shower_energy += hit[5];
    }
 
    std::vector<double> ele_params = {linear_fit_coeffs.first(1),
                                      linear_fit_coeffs.second(1)};
    std::vector<double> ele_params_x = {linear_fit_coeffs.first(1)};
 
    rec_theta_electron =
        (180 / std::numbers::pi) *
        std::acos(1 / std::sqrt((ele_params[0]) * (ele_params[0]) +
                                (ele_params[1]) * (ele_params[1]) + 1));
    rec_phi_electron =
        (180 / std::numbers::pi) * std::atan(ele_params[1] / ele_params[0]);
    if (ele_params[1] < 0) {
      rec_phi_electron += 180;
    }
    if (ele_params[0] < 0 && ele_params[1] > 0) {
      rec_phi_electron += 360;
    }
 
    if (recoil_y_p.size() == 3 && recoil_y_p[2] != 0 &&
        recoil_e_p.size() == 3 && recoil_e_p[2] != 0) {
      true_rec_theta_diff_electron =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(ele_params_x.begin(), ele_params_x.end(),
                                       recoil_e_p.begin(), recoil_e_p[2]) /
                    (std::sqrt((ele_params_x[0]) * (ele_params_x[0]) + 1) *
                     std::sqrt((recoil_e_p[0]) * (recoil_e_p[0]) +
                               (recoil_e_p[2]) * (recoil_e_p[2]))));
      true_rec_phi_diff_electron =
          (180 / std::numbers::pi) *
          std::acos(std::inner_product(ele_params.begin(), ele_params.end(),
                                       recoil_e_p.begin(), 0) /
                    (std::sqrt((ele_params[0]) * (ele_params[0]) +
                               (ele_params[1]) * (ele_params[1])) *
                     std::sqrt((recoil_e_p[0]) * (recoil_e_p[0]) +
                               (recoil_e_p[1]) * (recoil_e_p[1]))));
    }
 
    // Set photon variables to non-physical value
    // that corresponds to electron-only reco case
    rec_theta_photon = -5.;
    rec_phi_photon = -5.;
    rec_theta_diff_electron_photon = -5.;
    rec_phi_diff_electron_photon = -5.;
    true_rec_theta_diff_photon = -5.;
    true_rec_phi_diff_photon = -5.;
  }
 
  // Setting output object equal to calculated variables
  result.setVariables(
      true_theta_electron, true_theta_photon, true_phi_electron,
      true_phi_photon, rec_theta_electron, rec_theta_photon, rec_phi_electron,
      rec_phi_photon, true_theta_diff_electron_photon,
      true_phi_diff_electron_photon, rec_theta_diff_electron_photon,
      rec_phi_diff_electron_photon, true_rec_theta_diff_electron,
      true_rec_phi_diff_electron, true_rec_theta_diff_photon,
      true_rec_phi_diff_photon, true_electron_shower_energy,
      true_photon_shower_energy, rec_electron_shower_energy,
      rec_photon_shower_energy, progress_num);
 
  event.add(collection_name_, result);
 
  // Calculate processing time for event
  auto end = std::chrono::high_resolution_clock::now();
  auto diff = end - start;
  processing_time_ += std::chrono::duration<float, std::milli>(diff).count();
}

References collection_name_, framework::Event::exists(), framework::EventProcessor::getCondition(), ldmx::EcalGeometry::getPosition(), and ldmx::SimSpecialID::plane().

Member Data Documentation

collection_name_

std::string ecal::EcalWABRecProcessor::collection_name_ {"EcalWABRec"}

private

Name of the collection which will contain the results.

Definition at line 74 of file EcalWABRecProcessor.h.

{"EcalWABRec"};

Referenced by configure(), and produce().

nevents_

int ecal::EcalWABRecProcessor::nevents_ {0}

private

Definition at line 56 of file EcalWABRecProcessor.h.

{0};

processing_time_

float ecal::EcalWABRecProcessor::processing_time_ {0.}

private

Definition at line 57 of file EcalWABRecProcessor.h.

{0.};

rec_coll_name_

std::string ecal::EcalWABRecProcessor::rec_coll_name_

private

Definition at line 53 of file EcalWABRecProcessor.h.

rec_pass_name_

std::string ecal::EcalWABRecProcessor::rec_pass_name_

private

Definition at line 52 of file EcalWABRecProcessor.h.

sp_pass_name_

std::string ecal::EcalWABRecProcessor::sp_pass_name_

private

Definition at line 51 of file EcalWABRecProcessor.h.

track_coll_name_

std::string ecal::EcalWABRecProcessor::track_coll_name_

private

Definition at line 55 of file EcalWABRecProcessor.h.

track_pass_name_

std::string ecal::EcalWABRecProcessor::track_pass_name_

private

Definition at line 54 of file EcalWABRecProcessor.h.

---

The documentation for this class was generated from the following files:

• Ecal/include/Ecal/EcalWABRecProcessor.h
• Ecal/src/Ecal/EcalWABRecProcessor.cxx