73 #ifndef SiPixelTemplate_h
74 #define SiPixelTemplate_h 1
80 #include "boost/multi_array.hpp"
82 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
192 #ifndef SI_PIXEL_TEMPLATE_USE_BOOST
196 boost::multi_array<SiPixelTemplateEntry,1>
enty;
197 boost::multi_array<SiPixelTemplateEntry,2>
entx;
227 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
233 bool interpolate(
int id,
float cotalpha,
float cotbeta,
float locBz);
236 bool interpolate(
int id,
float cotalpha,
float cotbeta);
239 void ytemp(
int fybin,
int lybin,
float ytemplate[41][
BYSIZE]);
241 void xtemp(
int fxbin,
int lxbin,
float xtemplate[41][
BXSIZE]);
252 void ytemp3d(
int j,
int k, std::vector<float>& ytemplate);
256 void xtemp3d(
int j,
int k, std::vector<float>& xtemplate);
259 void ysigma2(
int fypix,
int lypix,
float sythr,
float ysum[
BYSIZE],
float ysig2[BYSIZE]);
263 void xsigma2(
int fxpix,
int lxpix,
float sxthr,
float xsum[
BXSIZE],
float xsig2[BXSIZE]);
266 float yflcorr(
int binq,
float qfly);
269 float xflcorr(
int binq,
float qflx);
272 int qbin(
int id,
float cotalpha,
float cotbeta,
float locBz,
float qclus,
float& pixmx,
float& sigmay,
float& deltay,
float& sigmax,
float& deltax,
273 float& sy1,
float& dy1,
float& sy2,
float& dy2,
float& sx1,
float& dx1,
float& sx2,
float& dx2,
float&
lorywidth,
float&
lorxwidth);
276 int qbin(
int id,
float cotalpha,
float cotbeta,
float locBz,
float qclus,
float& pixmx,
float& sigmay,
float& deltay,
float& sigmax,
float& deltax,
277 float& sy1,
float& dy1,
float& sy2,
float& dy2,
float& sx1,
float& dx1,
float& sx2,
float& dx2);
280 int qbin(
int id,
float cotalpha,
float cotbeta,
float qclus);
283 int qbin(
int id,
float cotbeta,
float qclus);
286 void temperrors(
int id,
float cotalpha,
float cotbeta,
int qBin,
float& sigmay,
float& sigmax,
float& sy1,
float& sy2,
float& sx1,
float& sx2);
289 void qbin_dist(
int id,
float cotalpha,
float cotbeta,
float qbin_frac[4],
float& ny1_frac,
float& ny2_frac,
float& nx1_frac,
float& nx2_frac);
292 bool simpletemplate2D(
float xhitp,
float yhitp, std::vector<bool>& ydouble, std::vector<bool>& xdouble,
float template2d[
BXM2][
BYM2]);
295 void vavilov_pars(
double& mpv,
double& sigma,
double& kappa);
298 void vavilov2_pars(
double& mpv,
double& sigma,
double& kappa);
317 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
318 if(i < 0 || i > 1) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::qmin called with illegal index = " << i << std::endl;}
329 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
330 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::yavg called with illegal index = " << i << std::endl;}
336 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
337 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::yrms called with illegal index = " << i << std::endl;}
343 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
344 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::ygx0 called with illegal index = " << i << std::endl;}
350 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
351 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::ygsig called with illegal index = " << i << std::endl;}
357 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
358 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::xavg called with illegal index = " << i << std::endl;}
364 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
365 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::xrms called with illegal index = " << i << std::endl;}
371 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
372 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::xgx0 called with illegal index = " << i << std::endl;}
378 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
379 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::xgsig called with illegal index = " << i << std::endl;}
385 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
386 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2yavg called with illegal index = " << i << std::endl;}
392 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
393 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2ymin called with illegal index = " << i << std::endl;}
399 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
400 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2xavg called with illegal index = " << i << std::endl;}
406 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
407 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2xmin called with illegal index = " << i << std::endl;}
413 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
414 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::yavgc2m called with illegal index = " << i << std::endl;}
420 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
421 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::yrmsc2m called with illegal index = " << i << std::endl;}
427 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
428 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2yavgc2m called with illegal index = " << i << std::endl;}
434 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
435 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2yminc2m called with illegal index = " << i << std::endl;}
441 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
442 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::xavgc2m called with illegal index = " << i << std::endl;}
448 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
449 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::xrmsc2m called with illegal index = " << i << std::endl;}
455 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
456 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2xavgc2m called with illegal index = " << i << std::endl;}
462 #ifndef SI_PIXEL_TEMPLATE_STANDALONE
463 if(i < 0 || i > 3) {
throw cms::Exception(
"DataCorrupt") <<
"SiPixelTemplate::chi2xminc2m called with illegal index = " << i << std::endl;}
float yrmsc2m(int i)
1st pass chi2 min search: average y-rms of reconstruction binned in 4 charge bins ...
float cota_current_
current cot alpha
float qavg_avg
average cluster charge of clusters that are less than qavg (normalize 2-D simple templates) ...
float mpvvav_
most probable charge in Vavilov distribution (not actually for larger kappa)
int runnum
< Basic template entry corresponding to a single set of track angles
float xflpar[4][6]
Aqfl-parameterized x-correction in 4 charge bins.
float xavg_[4]
average x-bias of reconstruction binned in 4 charge bins
float xrms[4]
average x-rms of reconstruction binned in 4 charge bins
void vavilov2_pars(double &mpv, double &sigma, double &kappa)
float xgx0_[4]
average x0 from Gaussian fit binned in 4 charge bins
float clslenx
cluster x-length in pixels at signal height sxmax/2
float chi2xminone()
//!< minimum of x chi^2 for 1 pixel clusters
int qbin(int id, float cotalpha, float cotbeta, float locBz, float qclus, float &pixmx, float &sigmay, float &deltay, float &sigmax, float &deltax, float &sy1, float &dy1, float &sy2, float &dy2, float &sx1, float &dx1, float &sx2, float &dx2, float &lorywidth, float &lorxwidth)
float clsleny_
y-cluster length of smaller interpolated template in pixels
float xtemp[9][TXSIZE]
templates for x-reconstruction (binned over 1 central pixel)
float qavg
average cluster charge for this set of track angles (now includes threshold effects) ...
float pixmax_
maximum pixel charge
float chi2yavgc2m(int i)
1st pass chi2 min search: average y-chisq for merged clusters
float syone
rms for one pixel y-clusters
float chi2yavgone
average y chi^2 for 1 pixel clusters
float symax()
average pixel signal for y-projection of cluster
float kappavav2()
kappa parameter for 2-cluster Vavilov distribution
float yavg(int i)
average y-bias of reconstruction binned in 4 charge bins
int cytemp()
Return central pixel of y template pixels above readout threshold.
float abs_cotb_
absolute value of cot beta
float dyone
mean offset/correction for one pixel y-clusters
float sigmavav
"sigma" scale fctor for Vavilov distribution
float fracxtwo
fraction of double pixel sample with xsize = 1
float xparhy0_[2][5]
projected x-pixel uncertainty parameterization for larger cotbeta (central alpha) ...
float yavggen[4]
generic algorithm: average y-bias of reconstruction binned in 4 charge bins
float chi2yminc2m_[4]
1st pass chi2 min search: minimum y-chisq for merged clusters
float sxmax
average pixel signal for x-projection of cluster
float chi2xavgc2m_[4]
1st pass chi2 min search: average x-chisq for merged clusters
float chi2yminc2m[4]
1st pass chi2 min search: minimum of y chi^2 in 4 charge bins (merged clusters)
float xavgc2m[4]
1st pass chi2 min search: average x-bias of reconstruction binned in 4 charge bins ...
float chi2xavgone
average x chi^2 for 1 pixel clusters
float fracytwo
fraction of double pixel sample with ysize = 1
float yrms[4]
average y-rms of reconstruction binned in 4 charge bins
float xrmsc2m_[4]
1st pass chi2 min search: average x-rms of reconstruction binned in 4 charge bins ...
float chi2xmin(int i)
minimum y chi^2 in 4 charge bins
float ytemp[9][TYSIZE]
templates for y-reconstruction (binned over 1 central pixel)
float mpvvav()
most probable charge in Vavilov distribution (not actually for larger kappa)
float mpvvav2
most probable charge in Vavilov distribution for 2 merged clusters (not actually for larger kappa) ...
float clslenx()
x-size of smaller interpolated template in pixels
float sxmax_
average pixel signal for x-projection of cluster
boost::multi_array< float, 2 > temp2dx_
2d-primitive for spltting 3-d template
float ygx0gen[4]
generic algorithm: average y0 from Gaussian fit binned in 4 charge bins
float xavg[4]
average x-bias of reconstruction binned in 4 charge bins
float chi2yminone_
minimum of y chi^2 for 1 pixel clusters
float chi2ymin(int i)
minimum y chi^2 in 4 charge bins
float yratio()
fractional distance in y between cotbeta templates
float dytwo
mean offset/correction for one double-pixel y-clusters
float xrms(int i)
average x-rms of reconstruction binned in 4 charge bins
float dxone
mean offset/correction for one pixel x-clusters
float chi2xavgone_
average x chi^2 for 1 pixel clusters
float qmin()
minimum cluster charge for valid hit (keeps 99.9% of simulated hits)
float pixmax
maximum charge for individual pixels in cluster
float zsize()
pixel z-size or thickness (microns)
float xavgc2m(int i)
1st pass chi2 min search: average x-bias of reconstruction binned in 4 charge bins ...
float chi2xavg_[4]
average x chi^2 in 4 charge bins
float chi2yavgc2m[4]
1st pass chi2 min search: average y chi^2 in 4 charge bins (merged clusters)
float qmin
minimum cluster charge for valid hit (keeps 99.9% of simulated hits)
float chi2xavgc2m[4]
1st pass chi2 min search: average x chi^2 in 4 charge bins (merged clusters)
float ygx0_[4]
average y0 from Gaussian fit binned in 4 charge bins
float mpvvav2()
most probable charge in 2-cluster Vavilov distribution (not actually for larger kappa) ...
float xflcorr(int binq, float qflx)
float sytwo()
rms for one double-pixel y-clusters
float xgsiggen[4]
generic algorithm: average sigma_x from Gaussian fit binned in 4 charge bins
float cotb_current_
current cot beta
float s50_
1/2 of the pixel threshold signal in adc units
float chi2xminc2m[4]
1st pass chi2 min search: minimum of x chi^2 in 4 charge bins (merged clusters)
float cotalpha
cot(alpha) is proportional to cluster length in x and is basis of interpolation
float yavgc2m_[4]
1st pass chi2 min search: average y-bias of reconstruction binned in 4 charge bins ...
float chi2xminc2m_[4]
1st pass chi2 min search: minimum x-chisq for merged clusters
float chi2yminone()
//!< minimum of y chi^2 for 1 pixel clusters
bool interpolate(int id, float cotalpha, float cotbeta, float locBz)
float sxone()
rms for one pixel x-clusters
float yrmsc2m[4]
1st pass chi2 min search: average y-rms of reconstruction binned in 4 charge bins ...
float qavg_
average cluster charge for this set of track angles
float xflparlh_[4][6]
Aqfl-parameterized x-correction in 4 charge bins for smaller cotbeta, larger cotalpha.
int cxtemp()
Return central pixel of x-template pixels above readout threshold.
float qscale()
charge scaling factor
float xpar[2][5]
projected x-pixel uncertainty parameterization
float chi2xavgc2m(int i)
1st pass chi2 min search: average x-chisq for merged clusters
float chi2ymin_[4]
minimum of y chi^2 in 4 charge bins
float ygx0[4]
average y0 from Gaussian fit binned in 4 charge bins
bool simpletemplate2D(float xhitp, float yhitp, std::vector< bool > &ydouble, std::vector< bool > &xdouble, float template2d[BXM2][BYM2])
Make simple 2-D templates from track angles set in interpolate and hit position.
float xgx0gen[4]
generic algorithm: average x0 from Gaussian fit binned in 4 charge bins
float dxone()
mean offset/correction for one pixel x-clusters
float sxparmax_
maximum pixel signal for parameterization of x uncertainties
float kappavav2_
kappa parameter for 2-cluster Vavilov distribution
float symax
average pixel signal for y-projection of cluster
float sigmavav_
"sigma" scale fctor for Vavilov distribution
float kappavav2
kappa parameter for Vavilov distribution for 2 merged clusters
float xgsig[4]
average sigma_x from Gaussian fit binned in 4 charge bins
std::vector< SiPixelTemplateStore > thePixelTemp_
float kappavav()
kappa parameter for Vavilov distribution
float cotbeta
cot(beta) is proportional to cluster length in y and is basis of interpolation
float chi2yavg(int i)
average y chi^2 in 4 charge bins
float beta
beta track angle (defined in CMS CMS IN 2004/014)
void vavilov_pars(double &mpv, double &sigma, double &kappa)
float lorxwidth()
signed lorentz x-width (microns)
float lorywidth()
signed lorentz y-width (microns)
float ygsig(int i)
average sigma_y from Gaussian fit binned in 4 charge bins
void xtemp(int fxbin, int lxbin, float xtemplate[41][BXSIZE])
float yrms(int i)
average y-rms of reconstruction binned in 4 charge bins
float lorywidth_
Lorentz y-width (sign corrected for fpix frame)
float clsleny()
y-size of smaller interpolated template in pixels
float yflcorr(int binq, float qfly)
float xrmsc2m[4]
1st pass chi2 min search: average x-rms of reconstruction binned in 4 charge bins ...
void ytemp3d(int j, int k, std::vector< float > &ytemplate)
void temperrors(int id, float cotalpha, float cotbeta, int qBin, float &sigmay, float &sigmax, float &sy1, float &sy2, float &sx1, float &sx2)
float xgx0[4]
average x0 from Gaussian fit binned in 4 charge bins
float xsize()
pixel x-size (microns)
float sigmavav2_
"sigma" scale fctor for 2-cluster Vavilov distribution
float sigmavav2()
"sigma" scale fctor for 2-cluster Vavilov distribution
void ytemp(int fybin, int lybin, float ytemplate[41][BYSIZE])
float yparl_[2][5]
projected y-pixel uncertainty parameterization for smaller cotbeta
float xpar0_[2][5]
projected x-pixel uncertainty parameterization for central cotalpha
float ygsiggen[4]
generic algorithm: average sigma_y from Gaussian fit binned in 4 charge bins
float fracxone
fraction of sample with xsize = 1
float sxtwo()
rms for one double-pixel x-clusters
float mpvvav
most probable charge in Vavilov distribution (not actually for larger kappa)
float ysize_
Pixel y-size.
float xsize_
Pixel x-size.
float dytwo()
mean offset/correction for one double-pixel y-clusters
float kappavav_
kappa parameter for Vavilov distribution
float sxtwo
rms for one double-pixel x-clusters
bool success_
true if cotalpha, cotbeta are inside of the acceptance (dynamically loaded)
float syone_
rms for one pixel y-clusters
boost::multi_array< float, 2 > temp2dy_
2d-primitive for spltting 3-d template
float xflparhh_[4][6]
Aqfl-parameterized x-correction in 4 charge bins for larger cotbeta, cotalpha.
float chi2yavg[4]
average y chi^2 in 4 charge bins
float alpha
alpha track angle (defined in CMS CMS IN 2004/014)
float chi2yminc2m(int i)
1st pass chi2 min search: minimum y-chisq for merged clusters
SiPixelTemplateHeader head
< template storage structure
float s50()
1/2 of the pixel threshold signal in electrons
float chi2xminone
minimum of x chi^2 for 1 pixel clusters
float yflparl_[4][6]
Aqfl-parameterized y-correction in 4 charge bins for smaller cotbeta.
float ypar[2][5]
projected y-pixel uncertainty parameterization
float qavg_spare
spare cluster charge
float chi2yavgone_
average y chi^2 for 1 pixel clusters
float dyone_
mean offset/correction for one pixel y-clusters
float yavgc2m(int i)
1st pass chi2 min search: average y-bias of reconstruction binned in 4 charge bins ...
float ytemp_[9][BYSIZE]
templates for y-reconstruction (binned over 5 central pixels)
void xtemp3d(int j, int k, std::vector< float > &xtemplate)
bool pushfile(int filenum)
float sxone_
rms for one pixel x-clusters
float dxtwo_
mean offset/correction for one double-pixel x-clusters
float chi2xminc2m(int i)
1st pass chi2 min search: minimum x-chisq for merged clusters
float ygx0(int i)
average y0 from Gaussian fit binned in 4 charge bins
float qscale_
charge scaling factor
float xparh_[2][5]
projected x-pixel uncertainty parameterization for larger cotalpha
float qmin(int i)
minimum cluster charge for valid hit (keeps 99.9% or 99.8% of simulated hits)
void qbin_dist(int id, float cotalpha, float cotbeta, float qbin_frac[4], float &ny1_frac, float &ny2_frac, float &nx1_frac, float &nx2_frac)
float ygsig_[4]
average sigma_y from Gaussian fit binned in 4 charge bins
float qmin2_
tighter minimum cluster charge for valid hit (keeps 99.8% of simulated hits)
float yrms_[4]
average y-rms of reconstruction binned in 4 charge bins
float xavgc2m_[4]
1st pass chi2 min search: average x-bias of reconstruction binned in 4 charge bins ...
float xflparll_[4][6]
Aqfl-parameterized x-correction in 4 charge bins for smaller cotbeta, cotalpha.
float qbfrac[3]
fraction of sample in qbin = 0-2 (>=3 is the complement)
float syone()
rms for one pixel y-clusters
float xtemp_[9][BXSIZE]
templates for x-reconstruction (binned over 5 central pixels)
float sytwo_
rms for one double-pixel y-clusters
void ytemp3d_int(int nypix, int &nybins)
float qavg_avg_
average of cluster charge less than qavg
float fracyone
fraction of sample with ysize = 1
float chi2yavgone()
//!< average y chi^2 for 1 pixel clusters
float qmin2
tighter minimum cluster charge for valid hit (keeps 99.8% of simulated hits)
float yxratio()
fractional distance in y between cotalpha templates slices
float chi2xminone_
minimum of x chi^2 for 1 pixel clusters
float yavg[4]
average y-bias of reconstruction binned in 4 charge bins
void xtemp3d_int(int nxpix, int &nxbins)
float qavg()
average cluster charge for this set of track angles
float xparl_[2][5]
projected x-pixel uncertainty parameterization for smaller cotalpha
float sxtwo_
rms for one double-pixel x-clusters
float sxmax()
average pixel signal for x-projection of cluster
float clslenx_
x-cluster length of smaller interpolated template in pixels
float chi2ymin[4]
minimum of y chi^2 in 4 charge bins
float yflparh_[4][6]
Aqfl-parameterized y-correction in 4 charge bins for larger cotbeta.
float yavgc2m[4]
1st pass chi2 min search: average y-bias of reconstruction binned in 4 charge bins ...
void xsigma2(int fxpix, int lxpix, float sxthr, float xsum[BXSIZE], float xsig2[BXSIZE])
float xparly0_[2][5]
projected x-pixel uncertainty parameterization for smaller cotbeta (central alpha) ...
float xrms_[4]
average x-rms of reconstruction binned in 4 charge bins
float symax_
average pixel signal for y-projection of cluster
float dxtwo
mean offset/correction for one double-pixel x-clusters
float yparh_[2][5]
projected y-pixel uncertainty parameterization for larger cotbeta
float chi2xavgone()
//!< average x chi^2 for 1 pixel clusters
float pixmax()
maximum pixel charge
float xxratio_
fractional distance in x between cotalpha templates
float chi2yavg_[4]
average y chi^2 in 4 charge bins
float sigmavav()
"sigma" scale fctor for Vavilov distribution
float xflparhl_[4][6]
Aqfl-parameterized x-correction in 4 charge bins for larger cotbeta, smaller cotalpha.
void ysigma2(int fypix, int lypix, float sythr, float ysum[BYSIZE], float ysig2[BYSIZE])
float yflpar[4][6]
Aqfl-parameterized y-correction in 4 charge bins.
float yxratio_
fractional distance in y between x-slices of cotalpha templates
float sxone
rms for one pixel x-clusters
float xgx0(int i)
average x0 from Gaussian fit binned in 4 charge bins
float qmin_
minimum cluster charge for valid hit (keeps 99.9% of simulated hits)
float dxone_
mean offset/correction for one pixel x-clusters
float chi2xmin[4]
minimum of x chi^2 in 4 charge bins
float lorxwidth_
Lorentz x-width.
float chi2xavg(int i)
averaage x chi^2 in 4 charge bins
float yavg_[4]
average y-bias of reconstruction binned in 4 charge bins
int index_id_
current index
float chi2yminone
minimum of y chi^2 for 1 pixel clusters
float xgsig(int i)
average sigma_x from Gaussian fit binned in 4 charge bins
float costrk[3]
direction cosines of tracks used to generate this entry
float mpvvav2_
most probable charge in 2-cluster Vavilov distribution (not actually for larger kappa) ...
SiPixelTemplateEntry entx[5][29]
29 Barrel x templates spanning cluster lengths from -6px (-1.125Rad) to +6px (+1.125Rad) in each of 5...
float syparmax_
maximum pixel signal for parameterization of y uncertainties
float ygsig[4]
average sigma_y from Gaussian fit binned in 4 charge bins
SiPixelTemplateEntry enty[60]
60 Barrel y templates spanning cluster lengths from 0px to +18px [28 entries for fpix] ...
float nxbins_
number of bins in each dimension of the x-splitting template
float yrmsc2m_[4]
1st pass chi2 min search: average y-rms of reconstruction binned in 4 charge bins ...
float sigmavav2
"sigma" scale fctor for Vavilov distribution for 2 merged clusters
float sytwo
rms for one double-pixel y-clusters
float dyone()
mean offset/correction for one pixel y-clusters
float xavg(int i)
average x-bias of reconstruction binned in 4 charge bins
float xrmsgen[4]
generic algorithm: average x-rms of reconstruction binned in 4 charge bins
float dytwo_
mean offset/correction for one double-pixel y-clusters
float dxtwo()
mean offset/correction for one double-pixel x-clusters
int id_current_
current id
float ysize()
pixel y-size (microns)
float zsize_
Pixel z-size (thickness)
float chi2xavg[4]
average x chi^2 in 4 charge bins
float xrmsc2m(int i)
1st pass chi2 min search: average x-rms of reconstruction binned in 4 charge bins ...
float yratio_
fractional distance in y between cotbeta templates
float chi2yavgc2m_[4]
1st pass chi2 min search: average y-chisq for merged clusters
float xxratio()
fractional distance in x between cotalpha templates
float kappavav
kappa parameter for Vavilov distribution
float xavggen[4]
generic algorithm: average x-bias of reconstruction binned in 4 charge bins
float yrmsgen[4]
generic algorithm: average y-rms of reconstruction binned in 4 charge bins
float nybins_
number of bins in each dimension of the y-splitting template
float chi2xmin_[4]
minimum of x chi^2 in 4 charge bins
float clsleny
cluster y-length in pixels at signal height symax/2
float xgsig_[4]
sigma from Gaussian fit binned in 4 charge bins
SiPixelTemplate()
Default constructor.