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File indexing completed on 2025-06-25 05:16:14

 //
 //  SiPixelTemplateReco.cc (Version 10.01)
 //
 //  Add goodness-of-fit to algorithm, include single pixel clusters in chi2 calculation
 //  Try "decapitation" of large single pixels
 //  Add correction for (Q_F-Q_L)/(Q_F+Q_L) bias
 //  Add cot(beta) reflection to reduce y-entries and more sophisticated x-interpolation
 //  Fix small double pixel bug with decapitation (2.41 5-Mar-2007).
 //  Fix pseudopixel bug causing possible memory overwrite (2.42 12-Mar-2007)
 //  Adjust template binning to span 3 (or 4) central pixels and implement improved (faster) chi2min search
 //  Replace internal containers with static arrays
 //  Add external threshold to calls to ysigma2 and xsigma2, use sorted signal heights to guarrantee min clust size = 2
 //  Use denser search over larger bin range for clusters with big pixels.
 //  Use single calls to template object to load template arrays (had been many)
 //  Add speed switch to trade-off speed and robustness
 //  Add qmin and re-define qbin to flag low-q clusters
 //  Add qscale to match charge scales
 //  Return error if no pixels in cluster
 //  Replace 4 cout's with LogError's
 //  Add LogDebug I/O to report various common errors
 //  Incorporate "cluster repair" to handle dead pixels
 //  Take truncation size from new pixmax information
 //  Change to allow template sizes to be changed at compile time
 //  Move interpolation range error to LogDebug
 //  Add qbin = 5 and change 1-pixel probability to use new template info
 //  Add floor for probabilities (no exact zeros)
 //  Replace asserts with exceptions in CMSSW
 //  Change calling sequence to handle cot(beta)<0 for FPix cosmics
 //
 //  V7.00 - Decouple BPix and FPix information into separate templates
 //  Pass all containers by alias to prevent excessive cpu-usage (V7.01)
 //  Slightly modify search bin range to avoid problem with single pixel clusters + large Lorentz drift (V7.02)
 //
 //  V8.00 - Add 2D probabilities, take pixel sizes from the template
 //  V8.05 - Shift 2-D cluster to center on the buffer
 //  V8.06 - Add locBz to the 2-D template (causes failover to the simple template when the cotbeta-locBz correlation is incorrect ... ie for non-IP tracks)
 //        - include minimum value for prob2D (1.e-30)
 //  V8.07 - Tune 2-d probability: consider only pixels above threshold and use threshold value for zero signal pixels (non-zero template)
 //  V8.10 - Remove 2-d probability for ineffectiveness and replace with simple cluster charge probability
 //  V8.11 - Change probQ to upper tail probability always (rather than two-sided tail probability)
 //  V8.20 - Use template cytemp/cxtemp methods to center the data cluster in the right place when the template becomes asymmetric after irradiation
 //  V8.25 - Incorporate VIs speed improvements
 //  V8.26 - Fix centering problem for small signals
 //  V9.00 - Set QProb = Q/Q_avg when calcultion is turned off, use fbin definitions of Qbin
 //  V10.00 - Use new template object to reco Phase 1 FPix hits
 //  V10.01 - Fix memory overwriting bug
 //  V10.10 - Change VVIObjF so it only reads kappa
 //  V10.30 - Use "good" end to center the y-projections [for high eta radiation damage],
 //         - use Gaussian fit paramters for y-bias and y-errors, remove chi2min_y warning
 //
 //
 //  Created by Morris Swartz on 10/27/06.
 //  VVIObjF object simplification by Tamas Vami
 //
 
 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
 //#include <cmath.h>
 #else
 #include <math.h>
 #endif
 #include <algorithm>
 #include <vector>
 #include <utility>
 #include <iostream>
 // ROOT::Math has a c++ function that does the probability calc, but only in v5.12 and later
 #include "TMath.h"
 #include "Math/DistFunc.h"
 // Use current version of gsl instead of ROOT::Math
 //#include <gsl/gsl_cdf.h>
 
 static const int theVerboseLevel = 2;
 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
 #include "RecoLocalTracker/SiPixelRecHits/interface/SiPixelTemplateReco.h"
 #include "RecoLocalTracker/SiPixelRecHits/interface/VVIObjF.h"
 #include "FWCore/MessageLogger/interface/MessageLogger.h"
 #define LOGERROR(x) edm::LogError(x)
 #define LOGDEBUG(x) LogDebug(x)
 #define ENDL " "
 #include "FWCore/Utilities/interface/Exception.h"
 #else
 #include "SiPixelTemplateReco.h"
 #include "VVIObjF.h"
 #define LOGERROR(x) std::cout << x << ": "
 #define LOGDEBUG(x) std::cout << x << ": "
 #define ENDL std::endl
 #endif
 
 using namespace SiPixelTemplateReco;
 
 // *************************************************************************************************************************************
 //! Reconstruct the best estimate of the hit position for pixel clusters.
 //! \param         id - (input) identifier of the template to use
 //! \param   cotalpha - (input) the cotangent of the alpha track angle (see CMS IN 2004/014)
 //! \param locBz - (input) the sign of this quantity is used to determine whether to flip cot(beta)<0 quantities from cot(beta)>0 (FPix only)
 //!                    for Phase 0 FPix IP-related tracks, locBz < 0 for cot(beta) > 0 and locBz > 0 for cot(beta) < 0
 //!                    for Phase 1 FPix IP-related tracks, see next comment
 //! \param locBx - (input) the sign of this quantity is used to determine whether to flip cot(alpha/beta)<0 quantities from cot(alpha/beta)>0 (FPix only)
 //!                    for Phase 1 FPix IP-related tracks, locBx/locBz > 0 for cot(alpha) > 0 and locBx/locBz < 0 for cot(alpha) < 0
 //!                    for Phase 1 FPix IP-related tracks, locBx > 0 for cot(beta) > 0 and locBx < 0 for cot(beta) < 0//! \param    cotbeta - (input) the cotangent of the beta track angle (see CMS IN 2004/014)
 //! \param    cluster - (input) boost multi_array container of 7x21 array of pixel signals,
 //!           origin of local coords (0,0) at center of pixel cluster[0][0].  Set dead pixels to small non-zero values (0.1 e).
 //! \param    ydouble - (input) STL vector of 21 element array to flag a double-pixel
 //! \param    xdouble - (input) STL vector of 7 element array to flag a double-pixel
 //! \param      templ - (input) the template used in the reconstruction
 //! \param       yrec - (output) best estimate of y-coordinate of hit in microns
 //! \param     sigmay - (output) best estimate of uncertainty on yrec in microns
 //! \param      proby - (output) probability describing goodness-of-fit for y-reco
 //! \param       xrec - (output) best estimate of x-coordinate of hit in microns
 //! \param     sigmax - (output) best estimate of uncertainty on xrec in microns
 //! \param      probx - (output) probability describing goodness-of-fit for x-reco
 //! \param       qbin - (output) index (0-4) describing the charge of the cluster
 //!                       qbin = 0        Q/Q_avg > 1.5   [few % of all hits]
 //!                              1  1.5 > Q/Q_avg > 1.0   [~30% of all hits]
 //!                              2  1.0 > Q/Q_avg > 0.85  [~30% of all hits]
 //!                              3 0.85 > Q/Q_avg > min1  [~30% of all hits]
 //!                              4 min1 > Q/Q_avg > min2  [~0.1% of all hits]
 //!                              5 min2 > Q/Q_avg         [~0.1% of all hits]
 //! \param      speed - (input) switch (-2->5) trading speed vs robustness
 //!                     -2       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4),
 //!                              calculates Q probability w/ VVIObj (better but slower)
 //!                     -1       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4),
 //!                              calculates Q probability w/ TMath::VavilovI (poorer but faster)
 //!                      0       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4)
 //!                      1       faster, searches reduced 25 bin range (no big pix) + 33 bins (big pix at ends) at full density
 //!                      2       faster yet, searches same range as 1 but at 1/2 density
 //!                      3       fastest, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster)
 //!                      4       fastest w/ Q prob, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster),
 //!                              calculates Q probability w/ VVIObj (better but slower)
 //!                      5       fastest w/ Q prob, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster),
 //!                              calculates Q probability w/ TMath::VavilovI (poorer but faster)
 //! \param    deadpix - (input)  bool to indicate that there are dead pixels to be included in the analysis
 //! \param    zeropix - (input)  vector of index pairs pointing to the dead pixels
 //! \param      probQ - (output) the Vavilov-distribution-based cluster charge probability
 //! \param      nypix - (output) the projected y-size of the cluster
 //! \param      nxpix - (output) the projected x-size of the cluster
 //! \param      goodEdgeAlgo - (input) bool to indicate whether to use centering based on the good end of the cluster (compatible only with templates derived using the same)
 // *************************************************************************************************************************************
 int SiPixelTemplateReco::PixelTempReco1D(int id,
                                          float cotalpha,
                                          float cotbeta,
                                          float locBz,
                                          float locBx,
                                          ClusMatrix& cluster,
                                          SiPixelTemplate& templ,
                                          float& yrec,
                                          float& sigmay,
                                          float& proby,
                                          float& xrec,
                                          float& sigmax,
                                          float& probx,
                                          int& qbin,
                                          int speed,
                                          bool deadpix,
                                          std::vector<std::pair<int, int> >& zeropix,
                                          float& probQ,
                                          int& nypix,
                                          int& nxpix,
                                          bool goodEdgeAlgo)
 
 {
   // Local variables
   int i, j, k, minbin, binl, binh, binq, midpix, fypix, lypix, logypx;
   int fxpix, lxpix, logxpx, shifty, shiftx, nyzero[TYSIZE];
   int nclusx, nclusy;
   int deltaj, jmin, jmax, fxbin, lxbin, fybin, lybin, djy, djx;
   //int fypix2D, lypix2D, fxpix2D, lxpix2D;
   float sythr, sxthr, rnorm, delta, sigma, sigavg, pseudopix, qscale, q50;
   float ss2, ssa, sa2, ssba, saba, sba2, rat, fq, qtotal, qpixel, fbin[3];
   float originx, originy, qfy, qly, qfx, qlx, bias, maxpix, minmax;
   double chi2x, meanx, chi2y, meany, chi2ymin, chi2xmin, chi21max;
   double hchi2, hndof, prvav, mpv, sigmaQ, kappa, xvav, beta2;
   float ytemp[41][BYSIZE], xtemp[41][BXSIZE], ysum[BYSIZE], xsum[BXSIZE], ysort[BYSIZE], xsort[BXSIZE];
   float chi2ybin[41], chi2xbin[41], ysig2[BYSIZE], xsig2[BXSIZE];
   float yw2[BYSIZE], xw2[BXSIZE], ysw[BYSIZE], xsw[BXSIZE];
   bool yd[BYSIZE], xd[BXSIZE], anyyd, anyxd, calc_probQ, use_VVIObj;
   float ysize, xsize;
   const float probmin = {1.110223e-16};
   const float probQmin = {1.e-5};
 
   // The minimum chi2 for a valid one pixel cluster = pseudopixel contribution only
 
   const double mean1pix = {0.100};
 #ifdef SI_PIXEL_TEMPLATE_STANDALONE
   const double chi21min = {0.};
 #else
   const double chi21min = {0.160};
 #endif
 
   // First, interpolate the template needed to analyze this cluster
   // check to see of the track direction is in the physical range of the loaded template
 
   if (id >= 0) {  //if id < 0 bypass interpolation (used in calibration)
     if (!templ.interpolate(id, cotalpha, cotbeta, locBz, locBx, goodEdgeAlgo)) {
       if (theVerboseLevel > 2) {
         LOGDEBUG("SiPixelTemplateReco") << "input cluster direction cot(alpha) = " << cotalpha
                                         << ", cot(beta) = " << cotbeta << ", local B_z = " << locBz
                                         << ", local B_x = " << locBx << ", template ID = " << id
                                         << ", no reconstruction performed" << ENDL;
       }
       return 20;
     }
   }
 
   // Check to see if Q probability is selected
 
   calc_probQ = false;
   use_VVIObj = false;
   if (speed < 0) {
     calc_probQ = true;
     if (speed < -1)
       use_VVIObj = true;
     speed = 0;
   }
 
   if (speed > 3) {
     calc_probQ = true;
     if (speed < 5)
       use_VVIObj = true;
     speed = 3;
   }
 
   // Get pixel dimensions from the template (to allow multiple detectors in the future)
 
   xsize = templ.xsize();
   ysize = templ.ysize();
 
   // Allow Qbin Q/Q_avg fractions to vary to optimize error estimation
 
   for (i = 0; i < 3; ++i) {
     fbin[i] = templ.fbin(i);
   }
 
   // Define size of pseudopixel
 
   q50 = templ.s50();
   pseudopix = 0.2f * q50;
 
   // Get charge scaling factor
 
   qscale = templ.qscale();
 
   // Check that the cluster container is (up to) a 7x21 matrix and matches the dimensions of the double pixel flags
 
   nclusx = cluster.mrow;
   nclusy = (int)cluster.mcol;
   auto const xdouble = cluster.xdouble;
   auto const ydouble = cluster.ydouble;
 
   // First, rescale all pixel charges and compute total charge
   qtotal = 0.f;
   for (i = 0; i < nclusx * nclusy; ++i) {
     cluster.matrix[i] *= qscale;
     qtotal += cluster.matrix[i];
   }
   // Next, sum the total charge and "decapitate" big pixels
   minmax = templ.pixmax();
   for (j = 0; j < nclusx; ++j)
     for (i = 0; i < nclusy; ++i) {
       maxpix = minmax;
       if (ydouble[i]) {
         maxpix *= 2.f;
       }
       if (cluster(j, i) > maxpix) {
         cluster(j, i) = maxpix;
       }
     }
 
   // Do the cluster repair here
 
   if (deadpix) {
     fypix = BYM3;
     lypix = -1;
     memset(nyzero, 0, TYSIZE * sizeof(int));
     memset(ysum, 0, BYSIZE * sizeof(float));
     for (i = 0; i < nclusy; ++i) {
       // Do preliminary cluster projection in y
       for (j = 0; j < nclusx; ++j) {
         ysum[i] += cluster(j, i);
       }
       if (ysum[i] > 0.f) {
         // identify ends of cluster to determine what the missing charge should be
         if (i < fypix) {
           fypix = i;
         }
         if (i > lypix) {
           lypix = i;
         }
       }
     }
 
     // Now loop over dead pixel list and "fix" everything
 
     //First see if the cluster ends are redefined and that we have only one dead pixel per column
 
     std::vector<std::pair<int, int> >::const_iterator zeroIter = zeropix.begin(), zeroEnd = zeropix.end();
     for (; zeroIter != zeroEnd; ++zeroIter) {
       i = zeroIter->second;
       if (i < 0 || i > TYSIZE - 1) {
         LOGERROR("SiPixelTemplateReco") << "dead pixel column y-index " << i << ", no reconstruction performed" << ENDL;
         return 11;
       }
 
       // count the number of dead pixels in each column
       ++nyzero[i];
       // allow them to redefine the cluster ends
       if (i < fypix) {
         fypix = i;
       }
       if (i > lypix) {
         lypix = i;
       }
     }
 
     nypix = lypix - fypix + 1;
 
     // Now adjust the charge in the dead pixels to sum to 0.5*truncation value in the end columns and the truncation value in the interior columns
 
     for (zeroIter = zeropix.begin(); zeroIter != zeroEnd; ++zeroIter) {
       i = zeroIter->second;
       j = zeroIter->first;
       if (j < 0 || j > TXSIZE - 1) {
         LOGERROR("SiPixelTemplateReco") << "dead pixel column x-index " << j << ", no reconstruction performed" << ENDL;
         return 12;
       }
       if ((i == fypix || i == lypix) && nypix > 1) {
         maxpix = templ.symax() / 2.;
       } else {
         maxpix = templ.symax();
       }
       if (ydouble[i]) {
         maxpix *= 2.;
       }
       if (nyzero[i] > 0 && nyzero[i] < 3) {
         qpixel = (maxpix - ysum[i]) / (float)nyzero[i];
       } else {
         qpixel = 1.;
       }
       if (qpixel < 1.) {
         qpixel = 1.;
       }
       cluster(j, i) = qpixel;
       // Adjust the total cluster charge to reflect the charge of the "repaired" cluster
       qtotal += qpixel;
     }
     // End of cluster repair section
   }
 
   // Next, make y-projection of the cluster and copy the double pixel flags into a 25 element container
 
   for (i = 0; i < BYSIZE; ++i) {
     ysum[i] = 0.f;
     yd[i] = false;
   }
   k = 0;
   anyyd = false;
   for (i = 0; i < nclusy; ++i) {
     for (j = 0; j < nclusx; ++j) {
       ysum[k] += cluster(j, i);
     }
 
     // If this is a double pixel, put 1/2 of the charge in 2 consective single pixels
 
     if (ydouble[i]) {
       ysum[k] /= 2.f;
       ysum[k + 1] = ysum[k];
       yd[k] = true;
       yd[k + 1] = false;
       k = k + 2;
       anyyd = true;
     } else {
       yd[k] = false;
       ++k;
     }
     if (k > BYM1) {
       break;
     }
   }
 
   // Next, make x-projection of the cluster and copy the double pixel flags into an 11 element container
 
   for (i = 0; i < BXSIZE; ++i) {
     xsum[i] = 0.f;
     xd[i] = false;
   }
   k = 0;
   anyxd = false;
   for (j = 0; j < nclusx; ++j) {
     for (i = 0; i < nclusy; ++i) {
       xsum[k] += cluster(j, i);
     }
 
     // If this is a double pixel, put 1/2 of the charge in 2 consective single pixels
 
     if (xdouble[j]) {
       xsum[k] /= 2.;
       xsum[k + 1] = xsum[k];
       xd[k] = true;
       xd[k + 1] = false;
       k = k + 2;
       anyxd = true;
     } else {
       xd[k] = false;
       ++k;
     }
     if (k > BXM1) {
       break;
     }
   }
 
   // next, identify the y-cluster ends, count total pixels, nypix, and logical pixels, logypx
 
   fypix = -1;
   nypix = 0;
   lypix = 0;
   logypx = 0;
   for (i = 0; i < BYSIZE; ++i) {
     if (ysum[i] > 0.f) {
       if (fypix == -1) {
         fypix = i;
       }
       if (!yd[i]) {
         ysort[logypx] = ysum[i];
         ++logypx;
       }
       ++nypix;
       lypix = i;
     }
   }
 
   //    dlengthy = (float)nypix - templ.clsleny();
 
   // Make sure cluster is continuous
 
   if ((lypix - fypix + 1) != nypix || nypix == 0) {
     LOGDEBUG("SiPixelTemplateReco") << "y-length of pixel cluster doesn't agree with number of pixels above threshold"
                                     << ENDL;
     if (theVerboseLevel > 2) {
       LOGDEBUG("SiPixelTemplateReco") << "ysum[] = ";
       for (i = 0; i < BYSIZE - 1; ++i) {
         LOGDEBUG("SiPixelTemplateReco") << ysum[i] << ", ";
       }
       LOGDEBUG("SiPixelTemplateReco") << ysum[BYSIZE - 1] << ENDL;
     }
 
     return 1;
   }
 
   // If cluster is longer than max template size, technique fails
 
   if (nypix > TYSIZE) {
     LOGDEBUG("SiPixelTemplateReco") << "y-length of pixel cluster is larger than maximum template size" << ENDL;
     if (theVerboseLevel > 2) {
       LOGDEBUG("SiPixelTemplateReco") << "ysum[] = ";
       for (i = 0; i < BYSIZE - 1; ++i) {
         LOGDEBUG("SiPixelTemplateReco") << ysum[i] << ", ";
       }
       LOGDEBUG("SiPixelTemplateReco") << ysum[BYSIZE - 1] << ENDL;
     }
 
     return 6;
   }
 
   // Remember these numbers for later
 
   //fypix2D = fypix;
   //lypix2D = lypix;
 
   // next, center the cluster on template center if necessary
 
   if (goodEdgeAlgo) {
     if (cotbeta >= 0) {
       midpix = (int)(fypix + 0.5 * cotbeta * templ.zsize() / ysize);
     } else {
       midpix = (int)(lypix + 0.5 * cotbeta * templ.zsize() / ysize);
     }
     shifty = BHY - midpix;
   }  //if(goodEdgeAlgo)
   else {
     midpix = (fypix + lypix) / 2;
     shifty = templ.cytemp() - midpix;
   }  //else
 
   // calculate new cluster boundaries
 
   int lytmp = lypix + shifty;
   int fytmp = fypix + shifty;
 
   // Check the boundaries
 
   if (fytmp <= 1) {
     return 8;
   }
   if (lytmp >= BYM2) {
     return 8;
   }
 
   //  If OK, shift everything
 
   if (shifty > 0) {
     for (i = lypix; i >= fypix; --i) {
       ysum[i + shifty] = ysum[i];
       ysum[i] = 0.;
       yd[i + shifty] = yd[i];
       yd[i] = false;
     }
   } else if (shifty < 0) {
     for (i = fypix; i <= lypix; ++i) {
       ysum[i + shifty] = ysum[i];
       ysum[i] = 0.;
       yd[i + shifty] = yd[i];
       yd[i] = false;
     }
   }
 
   lypix = lytmp;
   fypix = fytmp;
 
   // add pseudopixels
 
   ysum[fypix - 1] = pseudopix;
   ysum[fypix - 2] = pseudopix;
   ysum[lypix + 1] = pseudopix;
   ysum[lypix + 2] = pseudopix;
 
   // finally, determine if pixel[0] is a double pixel and make an origin correction if it is
 
   if (ydouble[0]) {
     originy = -0.5f;
   } else {
     originy = 0.f;
   }
 
   // next, identify the x-cluster ends, count total pixels, nxpix, and logical pixels, logxpx
 
   fxpix = -1;
   nxpix = 0;
   lxpix = 0;
   logxpx = 0;
   for (i = 0; i < BXSIZE; ++i) {
     if (xsum[i] > 0.) {
       if (fxpix == -1) {
         fxpix = i;
       }
       if (!xd[i]) {
         xsort[logxpx] = xsum[i];
         ++logxpx;
       }
       ++nxpix;
       lxpix = i;
     }
   }
 
   //    dlengthx = (float)nxpix - templ.clslenx();
 
   // Make sure cluster is continuous
 
   if ((lxpix - fxpix + 1) != nxpix) {
     LOGDEBUG("SiPixelTemplateReco") << "x-length of pixel cluster doesn't agree with number of pixels above threshold"
                                     << ENDL;
     if (theVerboseLevel > 2) {
       LOGDEBUG("SiPixelTemplateReco") << "xsum[] = ";
       for (i = 0; i < BXSIZE - 1; ++i) {
         LOGDEBUG("SiPixelTemplateReco") << xsum[i] << ", ";
       }
       LOGDEBUG("SiPixelTemplateReco") << ysum[BXSIZE - 1] << ENDL;
     }
 
     return 2;
   }
 
   // If cluster is longer than max template size, technique fails
 
   if (nxpix > TXSIZE) {
     LOGDEBUG("SiPixelTemplateReco") << "x-length of pixel cluster is larger than maximum template size" << ENDL;
     if (theVerboseLevel > 2) {
       LOGDEBUG("SiPixelTemplateReco") << "xsum[] = ";
       for (i = 0; i < BXSIZE - 1; ++i) {
         LOGDEBUG("SiPixelTemplateReco") << xsum[i] << ", ";
       }
       LOGDEBUG("SiPixelTemplateReco") << ysum[BXSIZE - 1] << ENDL;
     }
 
     return 7;
   }
 
   // Remember these numbers for later
 
   //fxpix2D = fxpix;
   //lxpix2D = lxpix;
 
   // next, center the cluster on template center if necessary
 
   midpix = (fxpix + lxpix) / 2;
   shiftx = templ.cxtemp() - midpix;
 
   // calculate new cluster boundaries
 
   int lxtmp = lxpix + shiftx;
   int fxtmp = fxpix + shiftx;
 
   // Check the boundaries
 
   if (fxtmp <= 1) {
     return 9;
   }
   if (lxtmp >= BXM2) {
     return 9;
   }
 
   //  If OK, shift everything
 
   if (shiftx > 0) {
     for (i = lxpix; i >= fxpix; --i) {
       xsum[i + shiftx] = xsum[i];
       xsum[i] = 0.;
       xd[i + shiftx] = xd[i];
       xd[i] = false;
     }
   } else if (shiftx < 0) {
     for (i = fxpix; i <= lxpix; ++i) {
       xsum[i + shiftx] = xsum[i];
       xsum[i] = 0.;
       xd[i + shiftx] = xd[i];
       xd[i] = false;
     }
   }
 
   lxpix = lxtmp;
   fxpix = fxtmp;
 
   xsum[fxpix - 1] = pseudopix;
   xsum[fxpix - 2] = pseudopix;
   xsum[lxpix + 1] = pseudopix;
   xsum[lxpix + 2] = pseudopix;
 
   // finally, determine if pixel[0] is a double pixel and make an origin correction if it is
 
   if (xdouble[0]) {
     originx = -0.5f;
   } else {
     originx = 0.f;
   }
 
   // uncertainty and final corrections depend upon total charge bin
 
   fq = qtotal / templ.qavg();
   if (fq > fbin[0]) {
     binq = 0;
   } else {
     if (fq > fbin[1]) {
       binq = 1;
     } else {
       if (fq > fbin[2]) {
         binq = 2;
       } else {
         binq = 3;
       }
     }
   }
 
   // Return the charge bin via the parameter list unless the charge is too small (then flag it)
 
   qbin = binq;
   if (!deadpix && qtotal < 0.95f * templ.qmin()) {
     qbin = 5;
   } else {
     if (!deadpix && qtotal < 0.95f * templ.qmin(1)) {
       qbin = 4;
     }
   }
   if (theVerboseLevel > 9) {
     LOGDEBUG("SiPixelTemplateReco") << "ID = " << id << " cot(alpha) = " << cotalpha << " cot(beta) = " << cotbeta
                                     << " nclusx = " << nclusx << " nclusy = " << nclusy << ENDL;
   }
 
   // Next, copy the y- and x-templates to local arrays
 
   // First, decide on chi^2 min search parameters
 
 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
   if (speed < 0 || speed > 3) {
     throw cms::Exception("DataCorrupt") << "SiPixelTemplateReco::PixelTempReco1D called with illegal speed = " << speed
                                         << std::endl;
   }
 #else
   assert(speed >= 0 && speed < 4);
 #endif
   fybin = 3;
   lybin = 37;
   fxbin = 3;
   lxbin = 37;
   djy = 1;
   djx = 1;
   if (speed > 0) {
     fybin = 8;
     lybin = 32;
     if (yd[fypix]) {
       fybin = 4;
       lybin = 36;
     }
     if (lypix > fypix) {
       if (yd[lypix - 1]) {
         fybin = 4;
         lybin = 36;
       }
     }
     fxbin = 8;
     lxbin = 32;
     if (xd[fxpix]) {
       fxbin = 4;
       lxbin = 36;
     }
     if (lxpix > fxpix) {
       if (xd[lxpix - 1]) {
         fxbin = 4;
         lxbin = 36;
       }
     }
   }
 
   if (speed > 1) {
     djy = 2;
     djx = 2;
     if (speed > 2) {
       if (!anyyd) {
         djy = 4;
       }
       if (!anyxd) {
         djx = 4;
       }
     }
   }
 
   if (theVerboseLevel > 9) {
     LOGDEBUG("SiPixelTemplateReco") << "fypix " << fypix << " lypix = " << lypix << " fybin = " << fybin
                                     << " lybin = " << lybin << " djy = " << djy << " logypx = " << logypx << ENDL;
     LOGDEBUG("SiPixelTemplateReco") << "fxpix " << fxpix << " lxpix = " << lxpix << " fxbin = " << fxbin
                                     << " lxbin = " << lxbin << " djx = " << djx << " logxpx = " << logxpx << ENDL;
   }
 
   // Now do the copies
 
   templ.ytemp(fybin, lybin, ytemp);
 
   templ.xtemp(fxbin, lxbin, xtemp);
 
   // Do the y-reconstruction first
 
   // Apply the first-pass template algorithm to all clusters
 
   // Modify the template if double pixels are present
 
   if (nypix > logypx) {
     i = fypix;
     while (i < lypix) {
       if (yd[i] && !yd[i + 1]) {
         for (j = fybin; j <= lybin; ++j) {
           // Sum the adjacent cells and put the average signal in both
 
           sigavg = (ytemp[j][i] + ytemp[j][i + 1]) / 2.f;
           ytemp[j][i] = sigavg;
           ytemp[j][i + 1] = sigavg;
         }
         i += 2;
       } else {
         ++i;
       }
     }
   }
 
   // Define the maximum signal to allow before de-weighting a pixel
 
   sythr = 1.1 * (templ.symax());
 
   // Make sure that there will be at least two pixels that are not de-weighted
 
   std::sort(&ysort[0], &ysort[logypx]);
   if (logypx == 1) {
     sythr = 1.01f * ysort[0];
   } else {
     if (ysort[1] > sythr) {
       sythr = 1.01f * ysort[1];
     }
   }
 
   // Evaluate pixel-by-pixel uncertainties (weights) for the templ analysis
 
   //    for(i=0; i<BYSIZE; ++i) { ysig2[i] = 0.;}
   templ.ysigma2(fypix, lypix, sythr, ysum, ysig2);
 
   // Find the template bin that minimizes the Chi^2
 
   chi2ymin = 1.e15;
   for (i = fybin; i <= lybin; ++i) {
     chi2ybin[i] = -1.e15f;
   }
   ss2 = 0.f;
   for (i = fypix - 2; i <= lypix + 2; ++i) {
     yw2[i] = 1.f / ysig2[i];
     ysw[i] = ysum[i] * yw2[i];
     ss2 += ysum[i] * ysw[i];
   }
 
   minbin = -1;
   deltaj = djy;
   jmin = fybin;
   jmax = lybin;
   while (deltaj > 0) {
     for (j = jmin; j <= jmax; j += deltaj) {
       if (chi2ybin[j] < -100.f) {
         ssa = 0.f;
         sa2 = 0.f;
         for (i = fypix - 2; i <= lypix + 2; ++i) {
           ssa += ysw[i] * ytemp[j][i];
           sa2 += ytemp[j][i] * ytemp[j][i] * yw2[i];
         }
         rat = ssa / ss2;
         if (rat <= 0.f) {
           LOGERROR("SiPixelTemplateReco") << "illegal chi2ymin normalization (1) = " << rat << ENDL;
           rat = 1.;
         }
         chi2ybin[j] = ss2 - 2.f * ssa / rat + sa2 / (rat * rat);
       }
       if (chi2ybin[j] < chi2ymin) {
         chi2ymin = chi2ybin[j];
         minbin = j;
       }
     }
     deltaj /= 2;
     if (minbin > fybin) {
       jmin = minbin - deltaj;
     } else {
       jmin = fybin;
     }
     if (minbin < lybin) {
       jmax = minbin + deltaj;
     } else {
       jmax = lybin;
     }
   }
 
   if (theVerboseLevel > 9) {
     LOGDEBUG("SiPixelTemplateReco") << "minbin " << minbin << " chi2ymin = " << chi2ymin << ENDL;
   }
 
   // Do not apply final template pass to 1-pixel clusters (use calibrated offset)
 
   if (logypx == 1) {
     if (nypix == 1) {
       delta = templ.dyone();
       sigma = templ.syone();
     } else {
       delta = templ.dytwo();
       sigma = templ.sytwo();
     }
 
     yrec = 0.5f * (fypix + lypix - 2 * shifty + 2.f * originy) * ysize - delta;
     if (sigma <= 0.f) {
       sigmay = 43.3f;
     } else {
       sigmay = sigma;
     }
 
     // Do probability calculation for one-pixel clusters
 
     chi21max = fmax(chi21min, (double)templ.chi2yminone());
     chi2ymin -= chi21max;
     if (chi2ymin < 0.) {
       chi2ymin = 0.;
     }
     //     proby = gsl_cdf_chisq_Q(chi2ymin, mean1pix);
     meany = fmax(mean1pix, (double)templ.chi2yavgone());
     hchi2 = chi2ymin / 2.;
     hndof = meany / 2.;
     proby = 1. - TMath::Gamma(hndof, hchi2);
 
   } else {
     // For cluster > 1 pix, make the second, interpolating pass with the templates
 
     binl = minbin - 1;
     binh = binl + 2;
     if (binl < fybin) {
       binl = fybin;
     }
     if (binh > lybin) {
       binh = lybin;
     }
     ssa = 0.;
     sa2 = 0.;
     ssba = 0.;
     saba = 0.;
     sba2 = 0.;
     for (i = fypix - 2; i <= lypix + 2; ++i) {
       ssa += ysw[i] * ytemp[binl][i];
       sa2 += ytemp[binl][i] * ytemp[binl][i] * yw2[i];
       ssba += ysw[i] * (ytemp[binh][i] - ytemp[binl][i]);
       saba += ytemp[binl][i] * (ytemp[binh][i] - ytemp[binl][i]) * yw2[i];
       sba2 += (ytemp[binh][i] - ytemp[binl][i]) * (ytemp[binh][i] - ytemp[binl][i]) * yw2[i];
     }
 
     // rat is the fraction of the "distance" from template a to template b
 
     rat = (ssba * ssa - ss2 * saba) / (ss2 * sba2 - ssba * ssba);
     if (rat < 0.f) {
       rat = 0.f;
     }
     if (rat > 1.f) {
       rat = 1.0f;
     }
     rnorm = (ssa + rat * ssba) / ss2;
 
     // Calculate the charges in the first and last pixels
 
     qfy = ysum[fypix];
     if (yd[fypix]) {
       qfy += ysum[fypix + 1];
     }
     if (logypx > 1) {
       qly = ysum[lypix];
       if (yd[lypix - 1]) {
         qly += ysum[lypix - 1];
       }
     } else {
       qly = qfy;
     }
 
     //  Now calculate the mean bias correction and uncertainties
 
     float qyfrac = (qfy - qly) / (qfy + qly);
     if (goodEdgeAlgo) {
       bias = templ.yflcorr(binq, qyfrac) + templ.ygx0(binq);
     } else {
       bias = templ.yflcorr(binq, qyfrac) + templ.yavg(binq);
     }
 
     // uncertainty and final correction depend upon charge bin
     yrec = (0.125f * binl + BHY - 2.5f + rat * (binh - binl) * 0.125f - (float)shifty + originy) * ysize - bias;
     if (goodEdgeAlgo) {
       sigmay = templ.ygsig(binq);
     } else {
       sigmay = templ.yrms(binq);
     }
 
     // Do goodness of fit test in y
 
     if (rnorm <= 0.) {
       LOGERROR("SiPixelTemplateReco") << "illegal chi2y normalization (2) = " << rnorm << ENDL;
       rnorm = 1.;
     }
     chi2y = ss2 - 2. / rnorm * ssa - 2. / rnorm * rat * ssba +
             (sa2 + 2. * rat * saba + rat * rat * sba2) / (rnorm * rnorm) - templ.chi2ymin(binq);
     if (chi2y < 0.0) {
       chi2y = 0.0;
     }
     meany = templ.chi2yavg(binq);
     if (meany < 0.01) {
       meany = 0.01;
     }
     // gsl function that calculates the chi^2 tail prob for non-integral dof
     //     proby = gsl_cdf_chisq_Q(chi2y, meany);
     //     proby = ROOT::Math::chisquared_cdf_c(chi2y, meany);
     hchi2 = chi2y / 2.;
     hndof = meany / 2.;
     proby = 1. - TMath::Gamma(hndof, hchi2);
   }
 
   // Do the x-reconstruction next
 
   // Apply the first-pass template algorithm to all clusters
 
   // Modify the template if double pixels are present
 
   if (nxpix > logxpx) {
     i = fxpix;
     while (i < lxpix) {
       if (xd[i] && !xd[i + 1]) {
         for (j = fxbin; j <= lxbin; ++j) {
           // Sum the adjacent cells and put the average signal in both
 
           sigavg = (xtemp[j][i] + xtemp[j][i + 1]) / 2.f;
           xtemp[j][i] = sigavg;
           xtemp[j][i + 1] = sigavg;
         }
         i += 2;
       } else {
         ++i;
       }
     }
   }
 
   // Define the maximum signal to allow before de-weighting a pixel
 
   sxthr = 1.1f * templ.sxmax();
 
   // Make sure that there will be at least two pixels that are not de-weighted
   std::sort(&xsort[0], &xsort[logxpx]);
   if (logxpx == 1) {
     sxthr = 1.01f * xsort[0];
   } else {
     if (xsort[1] > sxthr) {
       sxthr = 1.01f * xsort[1];
     }
   }
 
   // Evaluate pixel-by-pixel uncertainties (weights) for the templ analysis
 
   //    for(i=0; i<BXSIZE; ++i) { xsig2[i] = 0.; }
   templ.xsigma2(fxpix, lxpix, sxthr, xsum, xsig2);
 
   // Find the template bin that minimizes the Chi^2
 
   chi2xmin = 1.e15;
   for (i = fxbin; i <= lxbin; ++i) {
     chi2xbin[i] = -1.e15f;
   }
   ss2 = 0.f;
   for (i = fxpix - 2; i <= lxpix + 2; ++i) {
     xw2[i] = 1.f / xsig2[i];
     xsw[i] = xsum[i] * xw2[i];
     ss2 += xsum[i] * xsw[i];
   }
   minbin = -1;
   deltaj = djx;
   jmin = fxbin;
   jmax = lxbin;
   while (deltaj > 0) {
     for (j = jmin; j <= jmax; j += deltaj) {
       if (chi2xbin[j] < -100.f) {
         ssa = 0.f;
         sa2 = 0.f;
         //           std::cout << j << " ";
         for (i = fxpix - 2; i <= lxpix + 2; ++i) {
           //                std::cout << xtemp[j][i] << ", ";
           ssa += xsw[i] * xtemp[j][i];
           sa2 += xtemp[j][i] * xtemp[j][i] * xw2[i];
         }
         //           std::cout << std::endl;
         rat = ssa / ss2;
         if (rat <= 0.f) {
           LOGERROR("SiPixelTemplateReco") << "illegal chi2xmin normalization (1) = " << rat << ENDL;
           rat = 1.;
         }
         chi2xbin[j] = ss2 - 2.f * ssa / rat + sa2 / (rat * rat);
       }
       if (chi2xbin[j] < chi2xmin) {
         chi2xmin = chi2xbin[j];
         minbin = j;
       }
     }
     deltaj /= 2;
     if (minbin > fxbin) {
       jmin = minbin - deltaj;
     } else {
       jmin = fxbin;
     }
     if (minbin < lxbin) {
       jmax = minbin + deltaj;
     } else {
       jmax = lxbin;
     }
   }
 
   if (theVerboseLevel > 9) {
     LOGDEBUG("SiPixelTemplateReco") << "minbin " << minbin << " chi2xmin = " << chi2xmin << ENDL;
   }
 
   // Do not apply final template pass to 1-pixel clusters (use calibrated offset)
 
   if (logxpx == 1) {
     if (nxpix == 1) {
       delta = templ.dxone();
       sigma = templ.sxone();
     } else {
       delta = templ.dxtwo();
       sigma = templ.sxtwo();
     }
     xrec = 0.5 * (fxpix + lxpix - 2 * shiftx + 2. * originx) * xsize - delta;
     if (sigma <= 0.) {
       sigmax = 28.9;
     } else {
       sigmax = sigma;
     }
 
     // Do probability calculation for one-pixel clusters
 
     chi21max = fmax(chi21min, (double)templ.chi2xminone());
     chi2xmin -= chi21max;
     if (chi2xmin < 0.) {
       chi2xmin = 0.;
     }
     meanx = fmax(mean1pix, (double)templ.chi2xavgone());
     hchi2 = chi2xmin / 2.;
     hndof = meanx / 2.;
     probx = 1. - TMath::Gamma(hndof, hchi2);
 
   } else {
     // Now make the second, interpolating pass with the templates
 
     binl = minbin - 1;
     binh = binl + 2;
     if (binl < fxbin) {
       binl = fxbin;
     }
     if (binh > lxbin) {
       binh = lxbin;
     }
     ssa = 0.;
     sa2 = 0.;
     ssba = 0.;
     saba = 0.;
     sba2 = 0.;
     for (i = fxpix - 2; i <= lxpix + 2; ++i) {
       ssa += xsw[i] * xtemp[binl][i];
       sa2 += xtemp[binl][i] * xtemp[binl][i] * xw2[i];
       ssba += xsw[i] * (xtemp[binh][i] - xtemp[binl][i]);
       saba += xtemp[binl][i] * (xtemp[binh][i] - xtemp[binl][i]) * xw2[i];
       sba2 += (xtemp[binh][i] - xtemp[binl][i]) * (xtemp[binh][i] - xtemp[binl][i]) * xw2[i];
     }
 
     // rat is the fraction of the "distance" from template a to template b
 
     rat = (ssba * ssa - ss2 * saba) / (ss2 * sba2 - ssba * ssba);
     if (rat < 0.f) {
       rat = 0.f;
     }
     if (rat > 1.f) {
       rat = 1.0f;
     }
     rnorm = (ssa + rat * ssba) / ss2;
 
     // Calculate the charges in the first and last pixels
 
     qfx = xsum[fxpix];
     if (xd[fxpix]) {
       qfx += xsum[fxpix + 1];
     }
     if (logxpx > 1) {
       qlx = xsum[lxpix];
       if (xd[lxpix - 1]) {
         qlx += xsum[lxpix - 1];
       }
     } else {
       qlx = qfx;
     }
 
     //  Now calculate the mean bias correction and uncertainties
 
     float qxfrac = (qfx - qlx) / (qfx + qlx);
     bias = templ.xflcorr(binq, qxfrac) + templ.xavg(binq);
 
     // uncertainty and final correction depend upon charge bin
 
     xrec = (0.125f * binl + BHX - 2.5f + rat * (binh - binl) * 0.125f - (float)shiftx + originx) * xsize - bias;
     sigmax = templ.xrms(binq);
 
     // Do goodness of fit test in x
 
     if (rnorm <= 0.) {
       LOGERROR("SiPixelTemplateReco") << "illegal chi2x normalization (2) = " << rnorm << ENDL;
       rnorm = 1.;
     }
     chi2x = ss2 - 2. / rnorm * ssa - 2. / rnorm * rat * ssba +
             (sa2 + 2. * rat * saba + rat * rat * sba2) / (rnorm * rnorm) - templ.chi2xmin(binq);
     if (chi2x < 0.0) {
       chi2x = 0.0;
     }
     meanx = templ.chi2xavg(binq);
     if (meanx < 0.01) {
       meanx = 0.01;
     }
     // gsl function that calculates the chi^2 tail prob for non-integral dof
     //     probx = gsl_cdf_chisq_Q(chi2x, meanx);
     //     probx = ROOT::Math::chisquared_cdf_c(chi2x, meanx, trx0);
     hchi2 = chi2x / 2.;
     hndof = meanx / 2.;
     probx = 1. - TMath::Gamma(hndof, hchi2);
   }
 
   //  Don't return exact zeros for the probability
 
   if (proby < probmin) {
     proby = probmin;
   }
   if (probx < probmin) {
     probx = probmin;
   }
 
   //  Decide whether to generate a cluster charge probability
 
   if (calc_probQ) {
     // Calculate the Vavilov probability that the cluster charge is OK
 
     templ.vavilov_pars(mpv, sigmaQ, kappa);
 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
     if ((sigmaQ <= 0.) || (mpv <= 0.) || (kappa < 0.01) || (kappa > 9.9)) {
       throw cms::Exception("DataCorrupt") << "SiPixelTemplateReco::Vavilov parameters mpv/sigmaQ/kappa = " << mpv << "/"
                                           << sigmaQ << "/" << kappa << std::endl;
     }
 #else
     assert((sigmaQ > 0.) && (mpv > 0.) && (kappa > 0.01) && (kappa < 10.));
 #endif
     xvav = ((double)qtotal - mpv) / sigmaQ;
     beta2 = 1.;
     if (use_VVIObj) {
       //  VVIObj is a private port of CERNLIB VVIDIS
       VVIObjF vvidist(kappa);
       prvav = vvidist.fcn(xvav);
     } else {
       //  Use faster but less accurate TMath Vavilov distribution function
       prvav = TMath::VavilovI(xvav, kappa, beta2);
     }
     //  Change to upper tail probability
     //      if(prvav > 0.5) prvav = 1. - prvav;
     //      probQ = (float)(2.*prvav);
     probQ = 1. - prvav;
     if (probQ < probQmin) {
       probQ = probQmin;
     }
   } else {
     probQ = -1;
   }
 
   return 0;
 }  // PixelTempReco1D
 
 // *************************************************************************************************************************************
 //  Overload parameter list for compatibility with older versions
 //! Reconstruct the best estimate of the hit position for pixel clusters.
 //! \param         id - (input) identifier of the template to use
 //! \param   cotalpha - (input) the cotangent of the alpha track angle (see CMS IN 2004/014)
 //! \param    cotbeta - (input) the cotangent of the beta track angle (see CMS IN 2004/014)
 //! \param locBz - (input) the sign of this quantity is used to determine whether to flip cot(beta)<0 quantities from cot(beta)>0 (FPix only)
 //!                    for Phase 0 FPix IP-related tracks, locBz < 0 for cot(beta) > 0 and locBz > 0 for cot(beta) < 0
 //!                    for Phase 1 FPix IP-related tracks, see next comment
 //! \param locBx - (input) the sign of this quantity is used to determine whether to flip cot(alpha/beta)<0 quantities from cot(alpha/beta)>0 (FPix only)
 //!                    for Phase 1 FPix IP-related tracks, locBx/locBz > 0 for cot(alpha) > 0 and locBx/locBz < 0 for cot(alpha) < 0
 //!                    for Phase 1 FPix IP-related tracks, locBx > 0 for cot(beta) > 0 and locBx < 0 for cot(beta) < 0//! \param    cotbeta - (input) the cotangent of the beta track angle (see CMS IN 2004/014)
 //! \param    cluster - (input) boost multi_array container of 7x21 array of pixel signals,
 //!           origin of local coords (0,0) at center of pixel cluster[0][0].
 //! \param    ydouble - (input) STL vector of 21 element array to flag a double-pixel
 //! \param    xdouble - (input) STL vector of 7 element array to flag a double-pixel
 //! \param      templ - (input) the template used in the reconstruction
 //! \param       yrec - (output) best estimate of y-coordinate of hit in microns
 //! \param     sigmay - (output) best estimate of uncertainty on yrec in microns
 //! \param      proby - (output) probability describing goodness-of-fit for y-reco
 //! \param       xrec - (output) best estimate of x-coordinate of hit in microns
 //! \param     sigmax - (output) best estimate of uncertainty on xrec in microns
 //! \param      probx - (output) probability describing goodness-of-fit for x-reco
 //! \param       qbin - (output) index (0-4) describing the charge of the cluster
 //!                     [0: 1.5<Q/Qavg, 1: 1<Q/Qavg<1.5, 2: 0.85<Q/Qavg<1, 3: 0.95Qmin<Q<0.85Qavg, 4: Q<0.95Qmin]
 //! \param      speed - (input) switch (-1-4) trading speed vs robustness
 //!                     -1       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4), calculates Q probability
 //!                      0       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4)
 //!                      1       faster, searches reduced 25 bin range (no big pix) + 33 bins (big pix at ends) at full density
 //!                      2       faster yet, searches same range as 1 but at 1/2 density
 //!                      3       fastest, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster)
 //!                      4       fastest w/ Q prob, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster), calculates Q probability
 //! \param      probQ - (output) the Vavilov-distribution-based cluster charge probability
 //! \param      goodEdgeAlgo - (input) bool to indicate whether to use centering based on the good end of the cluster (compatible only with templates derived using the same)
 // *************************************************************************************************************************************
 int SiPixelTemplateReco::PixelTempReco1D(int id,
                                          float cotalpha,
                                          float cotbeta,
                                          float locBz,
                                          float locBx,
                                          ClusMatrix& cluster,
                                          SiPixelTemplate& templ,
                                          float& yrec,
                                          float& sigmay,
                                          float& proby,
                                          float& xrec,
                                          float& sigmax,
                                          float& probx,
                                          int& qbin,
                                          int speed,
                                          float& probQ,
                                          bool goodEdgeAlgo)
 
 {
   // Local variables
   const bool deadpix = false;
   std::vector<std::pair<int, int> > zeropix;
   int nypix, nxpix;
 
   return SiPixelTemplateReco::PixelTempReco1D(id,
                                               cotalpha,
                                               cotbeta,
                                               locBz,
                                               locBx,
                                               cluster,
                                               templ,
                                               yrec,
                                               sigmay,
                                               proby,
                                               xrec,
                                               sigmax,
                                               probx,
                                               qbin,
                                               speed,
                                               deadpix,
                                               zeropix,
                                               probQ,
                                               nypix,
                                               nxpix,
                                               goodEdgeAlgo);
 
 }  // PixelTempReco1D
 
 // *************************************************************************************************************************************
 //  Overload parameter list for compatibility with older versions
 //! Reconstruct the best estimate of the hit position for pixel clusters.
 //! \param         id - (input) identifier of the template to use
 //! \param   cotalpha - (input) the cotangent of the alpha track angle (see CMS IN 2004/014)
 //! \param    cotbeta - (input) the cotangent of the beta track angle (see CMS IN 2004/014)
 //! \param locBz - (input) the sign of this quantity is used to determine whether to flip cot(beta)<0 quantities from cot(beta)>0 (FPix only)
 //!                    for Phase 0 FPix IP-related tracks, locBz < 0 for cot(beta) > 0 and locBz > 0 for cot(beta) < 0
 //!                    for Phase 1 FPix IP-related tracks, see next comment
 //! \param locBx - (input) the sign of this quantity is used to determine whether to flip cot(alpha/beta)<0 quantities from cot(alpha/beta)>0 (FPix only)
 //!                    for Phase 1 FPix IP-related tracks, locBx/locBz > 0 for cot(alpha) > 0 and locBx/locBz < 0 for cot(alpha) < 0
 //!                    for Phase 1 FPix IP-related tracks, locBx > 0 for cot(beta) > 0 and locBx < 0 for cot(beta) < 0//! \param    cotbeta - (input) the cotangent of the beta track angle (see CMS IN 2004/014)
 //! \param    cluster - (input) boost multi_array container of 7x21 array of pixel signals,
 //!           origin of local coords (0,0) at center of pixel cluster[0][0].
 //! \param    ydouble - (input) STL vector of 21 element array to flag a double-pixel
 //! \param    xdouble - (input) STL vector of 7 element array to flag a double-pixel
 //! \param      templ - (input) the template used in the reconstruction
 //! \param       yrec - (output) best estimate of y-coordinate of hit in microns
 //! \param     sigmay - (output) best estimate of uncertainty on yrec in microns
 //! \param      proby - (output) probability describing goodness-of-fit for y-reco
 //! \param       xrec - (output) best estimate of x-coordinate of hit in microns
 //! \param     sigmax - (output) best estimate of uncertainty on xrec in microns
 //! \param      probx - (output) probability describing goodness-of-fit for x-reco
 //! \param       qbin - (output) index (0-4) describing the charge of the cluster
 //!                     [0: 1.5<Q/Qavg, 1: 1<Q/Qavg<1.5, 2: 0.85<Q/Qavg<1, 3: 0.95Qmin<Q<0.85Qavg, 4: Q<0.95Qmin]
 //! \param      speed - (input) switch (-1-4) trading speed vs robustness
 //!                     -1       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4), calculates Q probability
 //!                      0       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4)
 //!                      1       faster, searches reduced 25 bin range (no big pix) + 33 bins (big pix at ends) at full density
 //!                      2       faster yet, searches same range as 1 but at 1/2 density
 //!                      3       fastest, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster)
 //!                      4       fastest w/ Q prob, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster), calculates Q probability
 //! \param      probQ - (output) the Vavilov-distribution-based cluster charge probability
 // *************************************************************************************************************************************
 int SiPixelTemplateReco::PixelTempReco1D(int id,
                                          float cotalpha,
                                          float cotbeta,
                                          float locBz,
                                          float locBx,
                                          ClusMatrix& cluster,
                                          SiPixelTemplate& templ,
                                          float& yrec,
                                          float& sigmay,
                                          float& proby,
                                          float& xrec,
                                          float& sigmax,
                                          float& probx,
                                          int& qbin,
                                          int speed,
                                          float& probQ)
 
 {
   // Local variables
   const bool deadpix = false;
   std::vector<std::pair<int, int> > zeropix;
   int nypix, nxpix;
   const bool goodEdgeAlgo = false;
 
   return SiPixelTemplateReco::PixelTempReco1D(id,
                                               cotalpha,
                                               cotbeta,
                                               locBz,
                                               locBx,
                                               cluster,
                                               templ,
                                               yrec,
                                               sigmay,
                                               proby,
                                               xrec,
                                               sigmax,
                                               probx,
                                               qbin,
                                               speed,
                                               deadpix,
                                               zeropix,
                                               probQ,
                                               nypix,
                                               nxpix,
                                               goodEdgeAlgo);
 
 }  // PixelTempReco1D
 
 // *************************************************************************************************************************************
 //  Overload parameter list for compatibility with older versions
 //! Reconstruct the best estimate of the hit position for pixel clusters.
 //! \param         id - (input) identifier of the template to use
 //! \param   cotalpha - (input) the cotangent of the alpha track angle (see CMS IN 2004/014)
 //! \param    cotbeta - (input) the cotangent of the beta track angle (see CMS IN 2004/014)
 //! \param    cluster - (input) boost multi_array container of 7x21 array of pixel signals,
 //!           origin of local coords (0,0) at center of pixel cluster[0][0].
 //! \param    ydouble - (input) STL vector of 21 element array to flag a double-pixel
 //! \param    xdouble - (input) STL vector of 7 element array to flag a double-pixel
 //! \param      templ - (input) the template used in the reconstruction
 //! \param       yrec - (output) best estimate of y-coordinate of hit in microns
 //! \param     sigmay - (output) best estimate of uncertainty on yrec in microns
 //! \param      proby - (output) probability describing goodness-of-fit for y-reco
 //! \param       xrec - (output) best estimate of x-coordinate of hit in microns
 //! \param     sigmax - (output) best estimate of uncertainty on xrec in microns
 //! \param      probx - (output) probability describing goodness-of-fit for x-reco
 //! \param       qbin - (output) index (0-4) describing the charge of the cluster
 //!                     [0: 1.5<Q/Qavg, 1: 1<Q/Qavg<1.5, 2: 0.85<Q/Qavg<1, 3: 0.95Qmin<Q<0.85Qavg, 4: Q<0.95Qmin]
 //! \param      speed - (input) switch (-1-4) trading speed vs robustness
 //!                     -1       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4), calculates Q probability
 //!                      0       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4)
 //!                      1       faster, searches reduced 25 bin range (no big pix) + 33 bins (big pix at ends) at full density
 //!                      2       faster yet, searches same range as 1 but at 1/2 density
 //!                      3       fastest, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster)
 //!                      4       fastest w/ Q prob, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster), calculates Q probability
 //! \param      probQ - (output) the Vavilov-distribution-based cluster charge probability
 // *************************************************************************************************************************************
 int SiPixelTemplateReco::PixelTempReco1D(int id,
                                          float cotalpha,
                                          float cotbeta,
                                          ClusMatrix& cluster,
                                          SiPixelTemplate& templ,
                                          float& yrec,
                                          float& sigmay,
                                          float& proby,
                                          float& xrec,
                                          float& sigmax,
                                          float& probx,
                                          int& qbin,
                                          int speed,
                                          float& probQ)
 
 {
   // Local variables
   const bool deadpix = false;
   const bool goodEdgeAlgo = false;
   std::vector<std::pair<int, int> > zeropix;
   int nypix, nxpix;
   float locBx, locBz;
   locBx = 1.f;
   if (cotbeta < 0.f) {
     locBx = -1.f;
   }
   locBz = locBx;
   if (cotalpha < 0.f) {
     locBz = -locBx;
   }
 
   return SiPixelTemplateReco::PixelTempReco1D(id,
                                               cotalpha,
                                               cotbeta,
                                               locBz,
                                               locBx,
                                               cluster,
                                               templ,
                                               yrec,
                                               sigmay,
                                               proby,
                                               xrec,
                                               sigmax,
                                               probx,
                                               qbin,
                                               speed,
                                               deadpix,
                                               zeropix,
                                               probQ,
                                               nypix,
                                               nxpix,
                                               goodEdgeAlgo);
 
 }  // PixelTempReco1D
 
 // *************************************************************************************************************************************
 //  Overload parameter list for compatibility with older versions
 //! Reconstruct the best estimate of the hit position for pixel clusters.
 //! \param         id - (input) identifier of the template to use
 //! \param   cotalpha - (input) the cotangent of the alpha track angle (see CMS IN 2004/014)
 //! \param    cotbeta - (input) the cotangent of the beta track angle (see CMS IN 2004/014)
 //! \param    cluster - (input) boost multi_array container of 7x21 array of pixel signals,
 //!           origin of local coords (0,0) at center of pixel cluster[0][0].
 //! \param    ydouble - (input) STL vector of 21 element array to flag a double-pixel
 //! \param    xdouble - (input) STL vector of 7 element array to flag a double-pixel
 //! \param      templ - (input) the template used in the reconstruction
 //! \param       yrec - (output) best estimate of y-coordinate of hit in microns
 //! \param     sigmay - (output) best estimate of uncertainty on yrec in microns
 //! \param      proby - (output) probability describing goodness-of-fit for y-reco
 //! \param       xrec - (output) best estimate of x-coordinate of hit in microns
 //! \param     sigmax - (output) best estimate of uncertainty on xrec in microns
 //! \param      probx - (output) probability describing goodness-of-fit for x-reco
 //! \param       qbin - (output) index (0-4) describing the charge of the cluster
 //!                     [0: 1.5<Q/Qavg, 1: 1<Q/Qavg<1.5, 2: 0.85<Q/Qavg<1, 3: 0.95Qmin<Q<0.85Qavg, 4: Q<0.95Qmin]
 //! \param      speed - (input) switch (0-3) trading speed vs robustness
 //!                      0       totally bombproof, searches the entire 41 bin range at full density (equiv to V2_4)
 //!                      1       faster, searches reduced 25 bin range (no big pix) + 33 bins (big pix at ends) at full density
 //!                      2       faster yet, searches same range as 1 but at 1/2 density
 //!                      3       fastest, searches same range as 1 but at 1/4 density (no big pix) and 1/2 density (big pix in cluster)
 // *************************************************************************************************************************************
 int SiPixelTemplateReco::PixelTempReco1D(int id,
                                          float cotalpha,
                                          float cotbeta,
                                          ClusMatrix& cluster,
                                          SiPixelTemplate& templ,
                                          float& yrec,
                                          float& sigmay,
                                          float& proby,
                                          float& xrec,
                                          float& sigmax,
                                          float& probx,
                                          int& qbin,
                                          int speed)
 
 {
   // Local variables
   const bool deadpix = false;
   const bool goodEdgeAlgo = false;
   std::vector<std::pair<int, int> > zeropix;
   int nypix, nxpix;
   float locBx, locBz;
   locBx = 1.f;
   if (cotbeta < 0.f) {
     locBx = -1.f;
   }
   locBz = locBx;
   if (cotalpha < 0.f) {
     locBz = -locBx;
   }
   float probQ;
   if (speed < 0)
     speed = 0;
   if (speed > 3)
     speed = 3;
 
   return SiPixelTemplateReco::PixelTempReco1D(id,
                                               cotalpha,
                                               cotbeta,
                                               locBz,
                                               locBx,
                                               cluster,
                                               templ,
                                               yrec,
                                               sigmay,
                                               proby,
                                               xrec,
                                               sigmax,
                                               probx,
                                               qbin,
                                               speed,
                                               deadpix,
                                               zeropix,
                                               probQ,
                                               nypix,
                                               nxpix,
                                               goodEdgeAlgo);
 
 }  // PixelTempReco1D

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