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geant4/source/processes/electromagnetic/standard/src/G4GoudsmitSaundersonTable.cc
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//
//
// -----------------------------------------------------------------------------
//
// GEANT4 Class implementation file
//
// File name: G4GoudsmitSaundersonTable
//
// Author: Mihaly Novak / (Omrane Kadri)
//
// Creation date: 20.02.2009
//
// Class description:
// Class to handle multiple scattering angular distributions precomputed by
// using Kawrakow-Bielajew Goudsmit-Saunderson MSC model based on the screened
// Rutherford DCS for elastic scattering of electrons/positrons [1,2]. This
// class is used by G4GoudsmitSaundersonMscModel to sample the angular
// deflection of electrons/positrons after travelling a given path.
//
// Modifications:
// 04.03.2009 V.Ivanchenko cleanup and format according to Geant4 EM style
// 26.08.2009 O.Kadri: avoiding unuseful calculations and optimizing the root
// finding parameter error's within SampleTheta method
// 08.02.2010 O.Kadri: reduce delared variables; reduce error of finding root
// in secant method
// 26.03.2010 O.Kadri: minimum of used arrays in computation within the dichotomie
// finding method the error was the lowest value of uvalues
// 12.05.2010 O.Kadri: changing of sqrt((b-a)*(b-a)) with fabs(b-a)
// 18.05.2015 M. Novak This class has been completely replaced (only the original
// class name was kept; class description was also inserted):
// A new version of Kawrakow-Bielajew Goudsmit-Saunderson MSC model
// based on the screened Rutherford DCS for elastic scattering of
// electrons/positrons has been introduced[1,2]. The corresponding MSC
// angular distributions over a 2D parameter grid have been recomputed
// and the CDFs are now stored in a variable transformed (smooth) form
// together with the corresponding rational interpolation parameters.
// The new version is several times faster, more robust and accurate
// compared to the earlier version (G4GoudsmitSaundersonMscModel class
// that use these data has been also completely replaced)
// 28.04.2017 M. Novak: New representation of the angular distribution data with
// significantly reduced data size.
// 23.08.2017 M. Novak: Added funtionality to handle Mott-correction to the
// base GS angular distributions and some other factors (screening
// parameter, first and second moments) when Mott-correction is
// activated in the GS-MSC model.
//
// References:
// [1] A.F.Bielajew, NIMB, 111 (1996) 195-208
// [2] I.Kawrakow, A.F.Bielajew, NIMB 134(1998) 325-336
//
// -----------------------------------------------------------------------------
#include "G4GoudsmitSaundersonTable.hh"
#include "G4PhysicalConstants.hh"
#include "Randomize.hh"
#include "G4Log.hh"
#include "G4Exp.hh"
#include "G4GSMottCorrection.hh"
#include "G4MaterialTable.hh"
#include "G4Material.hh"
#include "G4MaterialCutsCouple.hh"
#include "G4ProductionCutsTable.hh"
#include "G4String.hh"
#include <fstream>
#include <cstdlib>
#include <cmath>
#include <iostream>
#include <iomanip>
// perecomputed GS angular distributions, based on the Screened-Rutherford DCS
// are the same for e- and e+ so make sure we load them only onece
G4bool G4GoudsmitSaundersonTable::gIsInitialised = false;
//
std::vector<G4GoudsmitSaundersonTable::GSMSCAngularDtr*> G4GoudsmitSaundersonTable::gGSMSCAngularDistributions1;
std::vector<G4GoudsmitSaundersonTable::GSMSCAngularDtr*> G4GoudsmitSaundersonTable::gGSMSCAngularDistributions2;
//
std::vector<double> G4GoudsmitSaundersonTable::gMoliereBc;
std::vector<double> G4GoudsmitSaundersonTable::gMoliereXc2;
G4GoudsmitSaundersonTable::G4GoudsmitSaundersonTable(G4bool iselectron) {
fIsElectron = iselectron;
// set initial values: final values will be set in the Initialize method
fLogLambda0 = 0.; // will be set properly at init.
fLogDeltaLambda = 0.; // will be set properly at init.
fInvLogDeltaLambda = 0.; // will be set properly at init.
fInvDeltaQ1 = 0.; // will be set properly at init.
fDeltaQ2 = 0.; // will be set properly at init.
fInvDeltaQ2 = 0.; // will be set properly at init.
//
fLowEnergyLimit = 0.1*CLHEP::keV; // will be set properly at init.
fHighEnergyLimit = 100.0*CLHEP::MeV; // will be set properly at init.
//
fIsMottCorrection = false; // will be set properly at init.
fIsPWACorrection = false; // will be set properly at init.
fMottCorrection = nullptr;
//
fNumSPCEbinPerDec = 3;
}
G4GoudsmitSaundersonTable::~G4GoudsmitSaundersonTable() {
for (size_t i=0; i<gGSMSCAngularDistributions1.size(); ++i) {
if (gGSMSCAngularDistributions1[i]) {
delete [] gGSMSCAngularDistributions1[i]->fUValues;
delete [] gGSMSCAngularDistributions1[i]->fParamA;
delete [] gGSMSCAngularDistributions1[i]->fParamB;
delete gGSMSCAngularDistributions1[i];
}
}
gGSMSCAngularDistributions1.clear();
for (size_t i=0; i<gGSMSCAngularDistributions2.size(); ++i) {
if (gGSMSCAngularDistributions2[i]) {
delete [] gGSMSCAngularDistributions2[i]->fUValues;
delete [] gGSMSCAngularDistributions2[i]->fParamA;
delete [] gGSMSCAngularDistributions2[i]->fParamB;
delete gGSMSCAngularDistributions2[i];
}
}
gGSMSCAngularDistributions2.clear();
if (fMottCorrection) {
delete fMottCorrection;
fMottCorrection = nullptr;
}
// clear scp correction data
for (size_t imc=0; imc<fSCPCPerMatCuts.size(); ++imc) {
if (fSCPCPerMatCuts[imc]) {
fSCPCPerMatCuts[imc]->fVSCPC.clear();
delete fSCPCPerMatCuts[imc];
}
}
fSCPCPerMatCuts.clear();
//
gIsInitialised = false;
}
void G4GoudsmitSaundersonTable::Initialise(G4double lownergylimit, G4double highenergylimit) {
fLowEnergyLimit = lownergylimit;
fHighEnergyLimit = highenergylimit;
G4double lLambdaMin = G4Log(gLAMBMIN);
G4double lLambdaMax = G4Log(gLAMBMAX);
fLogLambda0 = lLambdaMin;
fLogDeltaLambda = (lLambdaMax-lLambdaMin)/(gLAMBNUM-1.);
fInvLogDeltaLambda = 1./fLogDeltaLambda;
fInvDeltaQ1 = 1./((gQMAX1-gQMIN1)/(gQNUM1-1.));
fDeltaQ2 = (gQMAX2-gQMIN2)/(gQNUM2-1.);
fInvDeltaQ2 = 1./fDeltaQ2;
// load precomputed angular distributions and set up several values used during the sampling
// these are particle independet => they go to static container: load them only onece
if (!gIsInitialised) {
// load pre-computed GS angular distributions (computed based on Screened-Rutherford DCS)
LoadMSCData();
gIsInitialised = true;
}
InitMoliereMSCParams();
// Mott-correction: particle(e- or e+) dependet so init them
if (fIsMottCorrection) {
if (!fMottCorrection) {
fMottCorrection = new G4GSMottCorrection(fIsElectron);
}
fMottCorrection->Initialise();
}
// init scattering power correction data; used only together with Mott-correction
// (Moliere's parameters must be initialised before)
if (fMottCorrection) {
InitSCPCorrection();
}
}
// samplig multiple scattering angles cos(theta) and sin(thata)
// - including no-scattering, single, "few" scattering cases as well
// - Mott-correction will be included if it was requested by the user (i.e. if fIsMottCorrection=true)
// lambdaval : s/lambda_el
// qval : s/lambda_el G1
// scra : screening parameter
// cost : will be the smapled cos(theta)
// sint : will be the smapled sin(theta)
// lekin : logarithm of the current kinetic energy
// beta2 : the corresponding beta square
// matindx : index of the current material
// returns true if it was msc
G4bool G4GoudsmitSaundersonTable::Sampling(G4double lambdaval, G4double qval, G4double scra, G4double &cost,
G4double &sint, G4double lekin, G4double beta2, G4int matindx,
GSMSCAngularDtr **gsDtr, G4int &mcekini, G4int &mcdelti,
G4double &transfPar, G4bool isfirst) {
G4double rand0 = G4UniformRand();
G4double expn = G4Exp(-lambdaval);
//
// no scattering case
if (rand0<expn) {
cost = 1.0;
sint = 0.0;
return false;
}
//
// single scattering case : sample from the single scattering PDF
// - Mott-correction will be included if it was requested by the user (i.e. if fIsMottCorrection=true)
if (rand0<(1.+lambdaval)*expn) {
// cost is sampled in SingleScattering()
cost = SingleScattering(lambdaval, scra, lekin, beta2, matindx);
// add protections
if (cost<-1.0) cost = -1.0;
if (cost>1.0) cost = 1.0;
// compute sin(theta) from the sampled cos(theta)
G4double dum0 = 1.-cost;
sint = std::sqrt(dum0*(2.0-dum0));
return false;
}
//
// handle this case:
// -lambdaval < 1 i.e. mean #elastic events along the step is < 1 but
// the currently sampled case is not 0 or 1 scattering. [Our minimal
// lambdaval (that we have precomputed, transformed angular distributions
// stored in a form of equally probabe intervalls together with rational
// interp. parameters) is 1.]
// -probability of having n elastic events follows Poisson stat. with
// lambdaval parameter.
// -the max. probability (when lambdaval=1) of having more than one
// elastic events is 0.2642411 and the prob of having 2,3,..,n elastic
// events decays rapidly with n. So set a max n to 10.
// -sampling of this cases is done in a one-by-one single elastic event way
// where the current #elastic event is sampled from the Poisson distr.
if (lambdaval<1.0) {
G4double prob, cumprob;
prob = cumprob = expn;
G4double curcost,cursint;
// init cos(theta) and sin(theta) to the zero scattering values
cost = 1.0;
sint = 0.0;
for (G4int iel=1; iel<10; ++iel) {
// prob of having iel scattering from Poisson
prob *= lambdaval/(G4double)iel;
cumprob += prob;
//
//sample cos(theta) from the singe scattering pdf:
// - Mott-correction will be included if it was requested by the user (i.e. if fIsMottCorrection=true)
curcost = SingleScattering(lambdaval, scra, lekin, beta2, matindx);
G4double dum0 = 1.-curcost;
cursint = dum0*(2.0-dum0); // sin^2(theta)
//
// if we got current deflection that is not too small
// then update cos(theta) sin(theta)
if (cursint>1.0e-20) {
cursint = std::sqrt(cursint);
G4double curphi = CLHEP::twopi*G4UniformRand();
cost = cost*curcost-sint*cursint*std::cos(curphi);
sint = std::sqrt(std::max(0.0, (1.0-cost)*(1.0+cost)));
}
//
// check if we have done enough scattering i.e. sampling from the Poisson
if (rand0<cumprob) {
return false;
}
}
// if reached the max iter i.e. 10
return false;
}
//
// multiple scattering case with lambdavalue >= 1:
// - use the precomputed and transformed Goudsmit-Saunderson angular
// distributions to sample cos(theta)
// - Mott-correction will be included if it was requested by the user (i.e. if fIsMottCorrection=true)
cost = SampleCosTheta(lambdaval, qval, scra, lekin, beta2, matindx, gsDtr, mcekini, mcdelti, transfPar, isfirst);
// add protections
if (cost<-1.0) cost = -1.0;
if (cost> 1.0) cost = 1.0;
// compute cos(theta) and sin(theta) from the sampled 1-cos(theta)
G4double dum0 = 1.0-cost;
sint = std::sqrt(dum0*(2.0-dum0));
// return true if it was msc
return true;
}
G4double G4GoudsmitSaundersonTable::SampleCosTheta(G4double lambdaval, G4double qval, G4double scra,
G4double lekin, G4double beta2, G4int matindx,
GSMSCAngularDtr **gsDtr, G4int &mcekini,G4int &mcdelti,
G4double &transfPar, G4bool isfirst) {
G4double cost = 1.;
// determine the base GS angular distribution if it is the first call (when sub-step sampling is used)
if (isfirst) {
*gsDtr = GetGSAngularDtr(scra, lambdaval, qval, transfPar);
}
// sample cost from the GS angular distribution (computed based on Screened-Rutherford DCS)
cost = SampleGSSRCosTheta(*gsDtr, transfPar);
// Mott-correction if it was requested by the user
if (fIsMottCorrection && *gsDtr) { // no Mott-correction in case of izotropic theta
static const G4int nlooplim = 1000;
G4int nloop = 0 ; // rejection loop counter
// G4int ekindx = -1; // evaluate only in the first call
// G4int deltindx = -1 ; // evaluate only in the first call
G4double val = fMottCorrection->GetMottRejectionValue(lekin, beta2, qval, cost, matindx, mcekini, mcdelti);
while (G4UniformRand()>val && ++nloop<nlooplim) {
// sampling cos(theta)
cost = SampleGSSRCosTheta(*gsDtr, transfPar);
val = fMottCorrection->GetMottRejectionValue(lekin, beta2, qval, cost, matindx, mcekini, mcdelti);
};
}
return cost;
}
// returns with cost sampled from the GS angular distribution computed based on Screened-Rutherford DCS
G4double G4GoudsmitSaundersonTable::SampleGSSRCosTheta(const GSMSCAngularDtr *gsDtr, G4double transfpar) {
// check if isotropic theta (i.e. cost is uniform on [-1:1])
if (!gsDtr) {
return 1.-2.0*G4UniformRand();
}
//
// sampling form the selected distribution
G4double ndatm1 = gsDtr->fNumData-1.;
G4double delta = 1.0/ndatm1;
// determine lower cumulative bin inidex
G4double rndm = G4UniformRand();
G4int indxl = rndm*ndatm1;
G4double aval = rndm-indxl*delta;
G4double dum0 = delta*aval;
G4double dum1 = (1.0+gsDtr->fParamA[indxl]+gsDtr->fParamB[indxl])*dum0;
G4double dum2 = delta*delta + gsDtr->fParamA[indxl]*dum0 + gsDtr->fParamB[indxl]*aval*aval;
G4double sample = gsDtr->fUValues[indxl] + dum1/dum2 *(gsDtr->fUValues[indxl+1]-gsDtr->fUValues[indxl]);
// transform back u to cos(theta) :
// this is the sampled cos(theta) = (2.0*para*sample)/(1.0-sample+para)
return 1.-(2.0*transfpar*sample)/(1.0-sample+transfpar);
}
// determine the GS angular distribution we need to sample from: will set other things as well ...
G4GoudsmitSaundersonTable::GSMSCAngularDtr* G4GoudsmitSaundersonTable::GetGSAngularDtr(G4double scra,
G4double &lambdaval, G4double &qval, G4double &transfpar) {
GSMSCAngularDtr *dtr = nullptr;
G4bool first = false;
// isotropic cost above gQMAX2 (i.e. dtr stays nullptr)
if (qval<gQMAX2) {
G4int lamIndx = -1; // lambda value index
G4int qIndx = -1; // lambda value index
// init to second grid Q values
G4int numQVal = gQNUM2;
G4double minQVal = gQMIN2;
G4double invDelQ = fInvDeltaQ2;
G4double pIndxH = 0.; // probability of taking higher index
// check if first or second grid needs to be used
if (qval<gQMIN2) { // first grid
first = true;
// protect against qval<gQMIN1
if (qval<gQMIN1) {
qval = gQMIN1;
qIndx = 0;
//pIndxH = 0.;
}
// set to first grid Q values
numQVal = gQNUM1;
minQVal = gQMIN1;
invDelQ = fInvDeltaQ1;
}
// make sure that lambda = s/lambda_el is in [gLAMBMIN,gLAMBMAX)
// lambda<gLAMBMIN=1 is already handeled before so lambda>= gLAMBMIN for sure
if (lambdaval>=gLAMBMAX) {
lambdaval = gLAMBMAX-1.e-8;
lamIndx = gLAMBNUM-1;
}
G4double lLambda = G4Log(lambdaval);
//
// determine lower lambda (=s/lambda_el) index: linear interp. on log(lambda) scale
if (lamIndx<0) {
pIndxH = (lLambda-fLogLambda0)*fInvLogDeltaLambda;
lamIndx = (G4int)(pIndxH); // lower index of the lambda bin
pIndxH = pIndxH-lamIndx; // probability of taking the higher index distribution
if (G4UniformRand()<pIndxH) {
++lamIndx;
}
}
//
// determine lower Q (=s/lambda_el G1) index: linear interp. on Q
if (qIndx<0) {
pIndxH = (qval-minQVal)*invDelQ;
qIndx = (G4int)(pIndxH); // lower index of the Q bin
pIndxH = pIndxH-qIndx;
if (G4UniformRand()<pIndxH) {
++qIndx;
}
}
// set indx
G4int indx = lamIndx*numQVal+qIndx;
if (first) {
dtr = gGSMSCAngularDistributions1[indx];
} else {
dtr = gGSMSCAngularDistributions2[indx];
}
// dtr might be nullptr that indicates isotropic cot distribution because:
// - if the selected lamIndx, qIndx correspond to L(=s/lambda_el) and Q(=s/lambda_el G1) such that G1(=Q/L) > 1
// G1 should always be < 1 and if G1 is ~1 -> the dtr is isotropic (this can only happen in case of the 2. grid)
//
// compute the transformation parameter
if (lambdaval>10.0) {
transfpar = 0.5*(-2.77164+lLambda*( 2.94874-lLambda*(0.1535754-lLambda*0.00552888) ));
} else {
transfpar = 0.5*(1.347+lLambda*(0.209364-lLambda*(0.45525-lLambda*(0.50142-lLambda*0.081234))));
}
transfpar *= (lambdaval+4.0)*scra;
}
// return with the selected GS angular distribution that we need to sample cost from (if nullptr => isotropic cost)
return dtr;
}
void G4GoudsmitSaundersonTable::LoadMSCData() {
const char* path = G4FindDataDir("G4LEDATA");
if (!path) {
G4Exception("G4GoudsmitSaundersonTable::LoadMSCData()","em0006",
FatalException,
"Environment variable G4LEDATA not defined");
return;
}
//
gGSMSCAngularDistributions1.resize(gLAMBNUM*gQNUM1,nullptr);
const G4String str1 = G4String(path) + "/msc_GS/GSGrid_1/gsDistr_";
for (G4int il=0; il<gLAMBNUM; ++il) {
G4String fname = str1 + std::to_string(il);
std::ifstream infile(fname,std::ios::in);
if (!infile.is_open()) {
G4String msgc = "Cannot open file: " + fname;
G4Exception("G4GoudsmitSaundersonTable::LoadMSCData()","em0006",
FatalException, msgc.c_str());
return;
}
for (G4int iq=0; iq<gQNUM1; ++iq) {
auto gsd = new GSMSCAngularDtr();
infile >> gsd->fNumData;
gsd->fUValues = new G4double[gsd->fNumData]();
gsd->fParamA = new G4double[gsd->fNumData]();
gsd->fParamB = new G4double[gsd->fNumData]();
G4double ddummy;
infile >> ddummy; infile >> ddummy;
for (G4int i=0; i<gsd->fNumData; ++i) {
infile >> gsd->fUValues[i];
infile >> gsd->fParamA[i];
infile >> gsd->fParamB[i];
}
gGSMSCAngularDistributions1[il*gQNUM1+iq] = gsd;
}
infile.close();
}
//
// second grid
gGSMSCAngularDistributions2.resize(gLAMBNUM*gQNUM2,nullptr);
const G4String str2 = G4String(path) + "/msc_GS/GSGrid_2/gsDistr_";
for (G4int il=0; il<gLAMBNUM; ++il) {
G4String fname = str2 + std::to_string(il);
std::ifstream infile(fname,std::ios::in);
if (!infile.is_open()) {
G4String msgc = "Cannot open file: " + fname;
G4Exception("G4GoudsmitSaundersonTable::LoadMSCData()","em0006",
FatalException, msgc.c_str());
return;
}
for (G4int iq=0; iq<gQNUM2; ++iq) {
G4int numData;
infile >> numData;
if (numData>1) {
auto gsd = new GSMSCAngularDtr();
gsd->fNumData = numData;
gsd->fUValues = new G4double[gsd->fNumData]();
gsd->fParamA = new G4double[gsd->fNumData]();
gsd->fParamB = new G4double[gsd->fNumData]();
double ddummy;
infile >> ddummy; infile >> ddummy;
for (G4int i=0; i<gsd->fNumData; ++i) {
infile >> gsd->fUValues[i];
infile >> gsd->fParamA[i];
infile >> gsd->fParamB[i];
}
gGSMSCAngularDistributions2[il*gQNUM2+iq] = gsd;
} else {
gGSMSCAngularDistributions2[il*gQNUM2+iq] = nullptr;
}
}
infile.close();
}
}
// samples cost in single scattering based on Screened-Rutherford DCS
// (with Mott-correction if it was requested)
G4double G4GoudsmitSaundersonTable::SingleScattering(G4double /*lambdaval*/, G4double scra,
G4double lekin, G4double beta2,
G4int matindx) {
G4double rand1 = G4UniformRand();
// sample cost from the Screened-Rutherford DCS
G4double cost = 1.-2.0*scra*rand1/(1.0-rand1+scra);
// Mott-correction if it was requested by the user
if (fIsMottCorrection) {
static const G4int nlooplim = 1000; // rejection loop limit
G4int nloop = 0 ; // loop counter
G4int ekindx = -1 ; // evaluate only in the first call
G4int deltindx = 0 ; // single scattering case
G4double q1 = 0.; // not used when deltindx = 0;
// computing Mott rejection function value
G4double val = fMottCorrection->GetMottRejectionValue(lekin, beta2, q1, cost,
matindx, ekindx, deltindx);
while (G4UniformRand()>val && ++nloop<nlooplim) {
// sampling cos(theta) from the Screened-Rutherford DCS
rand1 = G4UniformRand();
cost = 1.-2.0*scra*rand1/(1.0-rand1+scra);
// computing Mott rejection function value
val = fMottCorrection->GetMottRejectionValue(lekin, beta2, q1, cost, matindx,
ekindx, deltindx);
};
}
return cost;
}
void G4GoudsmitSaundersonTable::GetMottCorrectionFactors(G4double logekin, G4double beta2,
G4int matindx, G4double &mcToScr,
G4double &mcToQ1, G4double &mcToG2PerG1) {
if (fIsMottCorrection) {
fMottCorrection->GetMottCorrectionFactors(logekin, beta2, matindx, mcToScr, mcToQ1, mcToG2PerG1);
}
}
// compute material dependent Moliere MSC parameters at initialisation
void G4GoudsmitSaundersonTable::InitMoliereMSCParams() {
const G4double const1 = 7821.6; // [cm2/g]
const G4double const2 = 0.1569; // [cm2 MeV2 / g]
const G4double finstrc2 = 5.325135453E-5; // fine-structure const. square
G4MaterialTable* theMaterialTable = G4Material::GetMaterialTable();
// get number of materials in the table
size_t numMaterials = theMaterialTable->size();
// make sure that we have long enough vectors
if(gMoliereBc.size()<numMaterials) {
gMoliereBc.resize(numMaterials);
gMoliereXc2.resize(numMaterials);
}
G4double xi = 1.0;
G4int maxZ = 200;
if (fIsMottCorrection || fIsPWACorrection) {
// xi = 1.0; <= always set to 1 from now on
maxZ = G4GSMottCorrection::GetMaxZet();
}
//
for (size_t imat=0; imat<numMaterials; ++imat) {
const G4Material* theMaterial = (*theMaterialTable)[imat];
const G4ElementVector* theElemVect = theMaterial->GetElementVector();
const G4int numelems = theMaterial->GetNumberOfElements();
//
const G4double* theNbAtomsPerVolVect = theMaterial->GetVecNbOfAtomsPerVolume();
G4double theTotNbAtomsPerVol = theMaterial->GetTotNbOfAtomsPerVolume();
//
G4double zs = 0.0;
G4double zx = 0.0;
G4double ze = 0.0;
G4double sa = 0.0;
//
for(G4int ielem = 0; ielem < numelems; ielem++) {
G4double zet = (*theElemVect)[ielem]->GetZ();
if (zet>maxZ) {
zet = (G4double)maxZ;
}
G4double iwa = (*theElemVect)[ielem]->GetN();
G4double ipz = theNbAtomsPerVolVect[ielem]/theTotNbAtomsPerVol;
G4double dum = ipz*zet*(zet+xi);
zs += dum;
ze += dum*(-2.0/3.0)*G4Log(zet);
zx += dum*G4Log(1.0+3.34*finstrc2*zet*zet);
sa += ipz*iwa;
}
G4double density = theMaterial->GetDensity()*CLHEP::cm3/CLHEP::g; // [g/cm3]
//
gMoliereBc[theMaterial->GetIndex()] = const1*density*zs/sa*G4Exp(ze/zs)/G4Exp(zx/zs); //[1/cm]
gMoliereXc2[theMaterial->GetIndex()] = const2*density*zs/sa; // [MeV2/cm]
// change to Geant4 internal units of 1/length and energ2/length
gMoliereBc[theMaterial->GetIndex()] *= 1.0/CLHEP::cm;
gMoliereXc2[theMaterial->GetIndex()] *= CLHEP::MeV*CLHEP::MeV/CLHEP::cm;
}
}
// this method is temporary, will be removed/replaced with a more effictien solution after 10.3.ref09
G4double G4GoudsmitSaundersonTable::ComputeScatteringPowerCorrection(const G4MaterialCutsCouple *matcut, G4double ekin) {
G4int imc = matcut->GetIndex();
G4double corFactor = 1.0;
if (!(fSCPCPerMatCuts[imc]->fIsUse) || ekin<=fSCPCPerMatCuts[imc]->fPrCut) {
return corFactor;
}
// get the scattering power correction factor
G4double lekin = G4Log(ekin);
G4double remaining = (lekin-fSCPCPerMatCuts[imc]->fLEmin)*fSCPCPerMatCuts[imc]->fILDel;
G4int lindx = (G4int)remaining;
remaining -= lindx;
G4int imax = fSCPCPerMatCuts[imc]->fVSCPC.size()-1;
if (lindx>=imax) {
corFactor = fSCPCPerMatCuts[imc]->fVSCPC[imax];
} else {
corFactor = fSCPCPerMatCuts[imc]->fVSCPC[lindx] + remaining*(fSCPCPerMatCuts[imc]->fVSCPC[lindx+1]-fSCPCPerMatCuts[imc]->fVSCPC[lindx]);
}
return corFactor;
}
void G4GoudsmitSaundersonTable::InitSCPCorrection() {
// get the material-cuts table
G4ProductionCutsTable *thePCTable = G4ProductionCutsTable::GetProductionCutsTable();
size_t numMatCuts = thePCTable->GetTableSize();
// clear container if any
for (size_t imc=0; imc<fSCPCPerMatCuts.size(); ++imc) {
if (fSCPCPerMatCuts[imc]) {
fSCPCPerMatCuts[imc]->fVSCPC.clear();
delete fSCPCPerMatCuts[imc];
fSCPCPerMatCuts[imc] = nullptr;
}
}
//
// set size of the container and create the corresponding data structures
fSCPCPerMatCuts.resize(numMatCuts,nullptr);
// loop over the material-cuts and create scattering power correction data structure for each
for (size_t imc=0; imc<numMatCuts; ++imc) {
const G4MaterialCutsCouple *matCut = thePCTable->GetMaterialCutsCouple(imc);
// get e- production cut in the current material-cuts in energy
G4double limit;
G4double ecut;
if (fIsElectron) {
ecut = (*(thePCTable->GetEnergyCutsVector(idxG4ElectronCut)))[matCut->GetIndex()];
limit = 2.*ecut;
} else {
ecut = (*(thePCTable->GetEnergyCutsVector(idxG4PositronCut)))[matCut->GetIndex()];
limit = ecut;
}
G4double min = std::max(limit,fLowEnergyLimit);
G4double max = fHighEnergyLimit;
if (min>=max) {
fSCPCPerMatCuts[imc] = new SCPCorrection();
fSCPCPerMatCuts[imc]->fIsUse = false;
fSCPCPerMatCuts[imc]->fPrCut = min;
continue;
}
G4int numEbins = fNumSPCEbinPerDec*G4lrint(std::log10(max/min));
numEbins = std::max(numEbins,3);
G4double lmin = G4Log(min);
G4double ldel = G4Log(max/min)/(numEbins-1.0);
fSCPCPerMatCuts[imc] = new SCPCorrection();
fSCPCPerMatCuts[imc]->fVSCPC.resize(numEbins,1.0);
fSCPCPerMatCuts[imc]->fIsUse = true;
fSCPCPerMatCuts[imc]->fPrCut = min;
fSCPCPerMatCuts[imc]->fLEmin = lmin;
fSCPCPerMatCuts[imc]->fILDel = 1./ldel;
for (G4int ie=0; ie<numEbins; ++ie) {
G4double ekin = G4Exp(lmin+ie*ldel);
G4double scpCorr = 1.0;
// compute correction factor: I.Kawrakow NIMB 114(1996)307-326 (Eqs(32-37))
if (ie>0) {
G4double tau = ekin/CLHEP::electron_mass_c2;
G4double tauCut = ecut/CLHEP::electron_mass_c2;
// Moliere's screening parameter
G4int matindx = matCut->GetMaterial()->GetIndex();
G4double A = GetMoliereXc2(matindx)/(4.0*tau*(tau+2.)*GetMoliereBc(matindx));
G4double gr = (1.+2.*A)*G4Log(1.+1./A)-2.;
G4double dum0 = (tau+2.)/(tau+1.);
G4double dum1 = tau+1.;
G4double gm = G4Log(0.5*tau/tauCut) + (1.+dum0*dum0)*G4Log(2.*(tau-tauCut+2.)/(tau+4.))
- 0.25*(tau+2.)*( tau+2.+2.*(2.*tau+1.)/(dum1*dum1))*
G4Log((tau+4.)*(tau-tauCut)/tau/(tau-tauCut+2.))
+ 0.5*(tau-2*tauCut)*(tau+2.)*(1./(tau-tauCut)-1./(dum1*dum1));
if (gm<gr) {
gm = gm/gr;
} else {
gm = 1.;
}
G4double z0 = matCut->GetMaterial()->GetIonisation()->GetZeffective();
scpCorr = 1.-gm*z0/(z0*(z0+1.));
}
fSCPCPerMatCuts[imc]->fVSCPC[ie] = scpCorr;
}
}
}