void Condition::read(FILE *in)
{
memcpy(&amount, defaultvals, sizeof(defaultvals));
readbin(in, &type);
readbin(in, &size);
if (size < 0 || size > MAXFIELDS)
throw bad_data_error("Condition has incorrect size value.");
size_t read = fread(&amount, sizeof(long), size, in);
if (read != (size_t)size)
{
throw bad_data_error(
(feof(in)) ? "Early EOF" : "stream error");
}
if (size >= 5)
pUnit = esdata.units.getByIdSafe(unit_cnst);
if (size >= 7)
pTech = esdata.techs.getByIdSafe(tech_cnst);
check_and_save();
}
/**
Assemble the DM fitting matrix
The fitting is done by minimizing \f$||H_X x - H_A a||^2_W\f$ where \f$H_X,
H_A\f$ are ray tracing operator from tomography grid xloc, and deformable
mirror grid aloc to pupil grid ploc. The norm is weighted using bilinear
influence functions within the telescope aperture. We have
\f$a=\left[H_A^T(W_0-W_1 W_1^T)H_A\right]^{-1} H_A^T (W_0-W_1) H_X x\f$
For details see www.opticsinfobase.org/abstract.cfm?URI=josaa-19-9-1803
*/
static void
setup_recon_fit_matrix(RECON_T *recon, const PARMS_T *parms){
const int nfit=parms->fit.nfit;
const int ndm=parms->ndm;
if(ndm==0) return;
dspcell *HATc=dspcelltrans(recon->HA);
PDSPCELL(HATc, HAT);
PDSPCELL(recon->HA,HA);
info2("Before assembling fit matrix:\t%.2f MiB\n",get_job_mem()/1024.);
/*Assemble Fit matrix. */
int npsr=recon->npsr;
if(parms->load.fit){
if(!(zfexist("FRM") && zfexist("FRU") && zfexist("FRV"))){
error("FRM, FRU, FRV (.bin) not all exist\n");
}
warning("Loading saved recon->FR\n");
recon->FR.M=readbin("FRM");
recon->FR.U=dcellread("FRU");
recon->FR.V=dcellread("FRV");
}else{
if(recon->HXF){
info2("Building recon->FR\n");
recon->FR.M=cellnew(ndm, npsr);
PDSPCELL(recon->FR.M, FRM);
PDSPCELL(recon->HXF, HXF);
for(int ips=0; ips<npsr; ips++){
for(int ifit=0; ifit<nfit; ifit++){
if(fabs(recon->fitwt->p[ifit])<1.e-12) continue;
dsp *tmp=dspmulsp(recon->W0, HXF[ips][ifit],"nn");
for(int idm=0; idm<ndm; idm++){
dspmulsp2(&FRM[ips][idm],HAT[ifit][idm], tmp, "nn",
recon->fitwt->p[ifit]);
}
dspfree(tmp);
}
}
recon->FR.V=cellnew(npsr, 1);
dmat **FRV=recon->FR.V->p;
for(int ips=0; ips<npsr; ips++){
int nloc=recon->xloc->p[ips]->nloc;
FRV[ips]=dnew(nloc,nfit);
for(int ifit=0; ifit<nfit; ifit++){
/*notice the sqrt. */
if(fabs(recon->fitwt->p[ifit])<1.e-12) continue;
dspmulvec(FRV[ips]->p+ifit*nloc,
HXF[ips][ifit], recon->W1->p, 't',
sqrt(recon->fitwt->p[ifit]));
}
}
if(parms->save.recon){
writebin(recon->FR.M,"FRM");
writebin(recon->FR.V,"FRV");
}
}else{
info("Avoid building recon->FR.M\n");
recon->FR.M=NULL;
recon->FR.V=NULL;
}
/*Always need FR.U as it is used to do FL.U, FL.V */
recon->FR.U=cellnew(ndm, 1);
dmat **FRU=recon->FR.U->p;
for(int idm=0; idm<ndm; idm++){
int nloc=recon->aloc->p[idm]->nloc;
FRU[idm]=dnew(nloc, nfit);
for(int ifit=0; ifit<nfit; ifit++){
/*notice the sart. */
if(fabs(recon->fitwt->p[ifit])<1.e-12) continue;
dspmulvec(FRU[idm]->p+ifit*nloc,
HA[idm][ifit], recon->W1->p,'t',
sqrt(recon->fitwt->p[ifit]));
}
}
if(parms->save.recon){
writebin(recon->FR.U,"FRU");
}
}
if(parms->load.fit){
if(!(zfexist("FLM") && zfexist("FLU") && zfexist("FLV"))){
error("FLM, FLU, FLV (.bin) not all exist\n");
}
warning("Loading saved recon->FL\n");
recon->FL.M=readbin("FLM");
recon->FL.U=dcellread("FLU");
recon->FL.V=dcellread("FLV");
}else{
info2("Building recon->FL\n");
recon->FL.M=cellnew(ndm, ndm);
dsp *(*FLM)[ndm]=(dsp*(*)[ndm])recon->FL.M->p;
for(int idm=0; idm<ndm; idm++){
for(int ifit=0; ifit<nfit; ifit++){
if(fabs(recon->fitwt->p[ifit])<1.e-12) continue;
dsp *tmp=dspmulsp(recon->W0, HA[idm][ifit],"nn");
for(int jdm=0; jdm<ndm; jdm++){
dspmulsp2(&FLM[idm][jdm],HAT[ifit][jdm], tmp,"nn",
recon->fitwt->p[ifit]);
}
dspfree(tmp);
}
}
dspcellfree(HATc);
if(fabs(parms->fit.tikcr)>1.e-15){
double tikcr=parms->fit.tikcr;
/*Estimated from the formula. 1/nloc is due to W0, the other
scaling is due to ray tracing between different sampling freq.*/
int nact=0;
for(int idm=0; idm<parms->ndm; idm++){
nact+=recon->aloc->p[idm]->nloc;
}
double maxeig=4./nact;
info2("Adding tikhonov constraint of %g to FLM\n", tikcr);
info2("The maximum eigen value is estimated to be around %e\n", maxeig);
dcelladdI(recon->FL.M,tikcr*maxeig);
}
{/*Low rank terms. */
recon->FL.U=dcellcat_each(recon->FR.U, recon->fitNW, 2);
dcell *tmp=NULL;/*negative NW. */
dcelladd(&tmp, 1, recon->fitNW, -1);
recon->FL.V=dcellcat_each(recon->FR.U, tmp, 2);
dcellfree(tmp);
}
if(recon->actslave){
dcelladd(&recon->FL.M, 1, recon->actslave, 1);
}
/*dspcellsym(recon->FL.M); */
info2("DM Fit number of Low rank terms: %ld in RHS, %ld in LHS\n",
recon->FR.U->p[0]->ny, recon->FL.U->p[0]->ny);
if(parms->save.recon){
writebin(recon->FL.M,"FLM.bin");
writebin(recon->FL.U,"FLU");
writebin(recon->FL.V,"FLV");
}
}
if((parms->fit.alg==0 || parms->fit.alg==2) && parms->fit.bgs){
muv_direct_diag_prep(&(recon->FL),(parms->fit.alg==2)*parms->fit.svdthres);
}
if((parms->fit.alg==0 || parms->fit.alg==2) && !parms->fit.bgs){
if(fabs(parms->fit.tikcr)<1.e-14){
warning("tickcr=%g is too small, chol may fail.\n", parms->fit.tikcr);
}
muv_direct_prep(&(recon->FL),(parms->fit.alg==2)*parms->fit.svdthres);
info2("After cholesky/svd on matrix:\t%.2f MiB\n",get_job_mem()/1024.);
}
if(parms->save.recon){
if(recon->FL.C){
chol_convert(recon->FL.C, 1);
chol_save(recon->FL.C,"FLC.bin");
}
if(recon->FL.MI)
writebin(recon->FL.MI,"FLMI");
if(recon->FL.Up)
writebin(recon->FL.Up, "FLUp");
if(recon->FL.Vp)
writebin(recon->FL.Vp, "FLVp");
if(recon->FL.CB){
for(int ib=0; ib<recon->FL.nb; ib++){
chol_save(recon->FL.CB[ib],"FLCB_%d.bin", ib);
}
}
if(recon->FL.MIB){
writebin(recon->FL.MIB,"FLMIB");
}
}
info2("After assemble fit matrix:\t%.2f MiB\n",get_job_mem()/1024.);
}
