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Copy pathAOloopControl_computeCalib_modes.c
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AOloopControl_computeCalib_modes.c
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/**
* @file AOloopControl_computeCalib_makemodes.c
* @brief Adaptive Optics Control loop engine compute calibration
*
* AO engine uses stream data structure
*
*
* @bug No known bugs.
*
*
*/
#define _GNU_SOURCE
// uncomment for test print statements to stdout
//#define _PRINT_TEST
/* =============================================================================================== */
/* =============================================================================================== */
/* HEADER FILES */
/* =============================================================================================== */
/* =============================================================================================== */
#include <math.h>
#include <stdint.h>
#include <unistd.h>
#include <malloc.h>
#include <stdio.h>
#include <string.h>
#include <sys/stat.h>
#include <pthread.h>
#ifdef __MACH__
#include <mach/mach_time.h>
#define CLOCK_REALTIME 0
#define CLOCK_MONOTONIC 0
int clock_gettime(int clk_id, struct mach_timespec *t) {
mach_timebase_info_data_t timebase;
mach_timebase_info(&timebase);
uint64_t time;
time = mach_absolute_time();
double nseconds = ((double)time * (double)timebase.numer)/((double)timebase.denom);
double seconds = ((double)time * (double)timebase.numer)/((double)timebase.denom * 1e9);
t->tv_sec = seconds;
t->tv_nsec = nseconds;
return 0;
}
#else
#include <time.h>
#endif
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_math.h>
#include <gsl/gsl_eigen.h>
#include <gsl/gsl_blas.h>
#include <fitsio.h>
#include "CommandLineInterface/CLIcore.h"
#include "00CORE/00CORE.h"
#include "COREMOD_memory/COREMOD_memory.h"
#include "COREMOD_iofits/COREMOD_iofits.h"
#include "COREMOD_tools/COREMOD_tools.h"
#include "COREMOD_arith/COREMOD_arith.h"
#include "info/info.h"
#include "linopt_imtools/linopt_imtools.h"
#include "statistic/statistic.h"
#include "ZernikePolyn/ZernikePolyn.h"
#include "image_filter/image_filter.h"
#include "AOloopControl/AOloopControl.h"
#include "AOloopControl_IOtools/AOloopControl_IOtools.h"
#include "AOloopControl_acquireCalib/AOloopControl_acquireCalib.h"
#include "AOloopControl_computeCalib/AOloopControl_computeCalib.h"
#ifdef HAVE_CUDA
#include "cudacomp/cudacomp.h"
#endif
extern long LOOPNUMBER; // current loop index
extern AOLOOPCONTROL_CONF *AOconf; // declared in AOloopControl.c
extern AOloopControl_var aoloopcontrol_var; // declared in AOloopControl.c
long aoconfID_imWFS2_active[100];
#define MAX_MBLOCK 20
/*** \brief creates AO control modes
*
*
* creates image "modesfreqcpa" which contains CPA value for each mode
*
*
* if Mmask exists, measure xc, yc from it, otherwise use values given to function
*
* INPUT (optional): "dmmaskRM" DM actuators directly controlled
* INPUT (optional): "dmslaved" force these actuators to be slaved to neighbors
* OUTPUT : "dmmask" is the union of "dmmaskRM" and "dmslaved"
*
* MaskMode = 0 : tapered masking
* MaskMode = 1 : STRICT masking
*
* if BlockNB < 0 : do all blocks
* if BlockNB >= 0 : only update single block (untested)
*
* SVDlim = 0.05 works well
*
* OPTIONAL : if file zrespM exists, WFS modes will be computed
*
*/
long AOloopControl_computeCalib_mkModes(
const char *ID_name,
long msizex,
long msizey,
float CPAmax,
float deltaCPA,
double xc,
double yc,
double r0,
double r1,
int MaskMode,
int BlockNB,
float SVDlim
)
{
FILE *fp;
long ID = -1;
long ii, jj;
long IDmaskRM; // DM mask
double totm;
double x, y, r, xc1, yc1;
double rms;
long IDz;
long zindex[10];
double zcpa[10]; /// CPA for each Zernike (somewhat arbitrary... used to sort modes in CPA)
long mblock, m;
long NBmblock;
long MBLOCK_NBmode[MAX_MBLOCK]; // number of blocks
long MBLOCK_ID[MAX_MBLOCK];
// long MBLOCK_IDwfs[MAX_MBLOCK];
float MBLOCK_CPA[MAX_MBLOCK];
char *ptr0;
char *ptr1;
char imname[200];
char imname1[200];
char fname[200];
char fname1[200];
float value, value0, value1, value1cnt, valuen;
long msizexy;
long m0, mblock0;
long iter;
long IDmask;
long IDzrespM;
long wfsxsize, wfsysize, wfssize;
long wfselem, act;
long IDout, ID1, ID2, ID2b;
long zsize1, zsize2;
long z1, z2;
long xysize1, xysize2;
float SVDlim00;// DM filtering step 0
float SVDlim01; // DM filtering step 1
float rmslim1 = 0.1;
long IDm;
int *mok;
long NBmm = 2000; // max number of modes per block
long cnt;
int reuse;
long IDSVDmodein, IDSVDmode1, IDSVDcoeff, IDSVDmask;
long m1;
long IDnewmodeC;
long IDtmp, IDtmpg;
long conviter;
float sigma;
int MODAL; // 1 if "pixels" of DM are already modes
long IDRMMmodes = -1;
long IDRMMresp = -1;
long ID_imfit = -1;
long IDRMM_coeff = -1;
long IDcoeffmat = -1;
long linfitsize;
int linfitreuse;
double res, res1, v0;
double resn, vn;
double LOcoeff;
FILE *fpLOcoeff;
long IDwfstmp;
long pixcnt;
float vxp, vxm, vyp, vym, cxp, cxm, cyp, cym, ctot;
long IDtmp1, IDtmp2;
int COMPUTE_DM_MODES = 1; // compute DM modes (initial step) fmode2b_xxx and fmodes2ball
long ii1, jj1;
float dx, dy, dist, dist0, val1cnt;
long IDprox, IDprox1;
float gain;
FILE *fpcoeff;
char fnameSVDcoeff[400];
// extra block
long extrablockIndex;
// SET LIMITS
SVDlim00 = SVDlim; // DM filtering step 0
SVDlim01 = SVDlim; // DM filtering step 1
MODAL = 0;
if(msizey==1)
MODAL = 1;
zindex[0] = 1; // tip
zcpa[0] = 0.0;
zindex[1] = 2; // tilt
zcpa[1] = 0.0;
zindex[2] = 4; // focus
zcpa[2] = 0.25;
zindex[3] = 3; // astig
zcpa[3] = 0.4;
zindex[4] = 5; // astig
zcpa[4] = 0.4;
zindex[5] = 7; // coma
zcpa[5] = 0.6;
zindex[6] = 8; // coma
zcpa[6] = 0.6;
zindex[7] = 6; // trefoil
zcpa[7] = 1.0;
zindex[8] = 9; // trefoil
zcpa[8] = 1.0;
zindex[9] = 12;
zcpa[9] = 1.5;
if(system("mkdir -p mkmodestmp") < 1)
printERROR(__FILE__, __func__, __LINE__, "system() returns non-zero value");
msizexy = msizex*msizey;
/// STEP 1: CREATE STARTING POINT : ZERNIKES + FOURIER MODES
/// if Mmask exists, use it, otherwise create it
if(MODAL == 0)
{
IDmaskRM = image_ID("dmmaskRM");
if(IDmaskRM==-1)
{
double val0, val1;
double a0=0.88;
double b0=40.0;
double a1=1.2;
double b1=12.0;
IDmaskRM = create_2Dimage_ID("dmmaskRM", msizex, msizey);
for(ii=0; ii<msizex; ii++)
for(jj=0; jj<msizey; jj++)
{
x = 1.0*ii-xc;
y = 1.0*jj-yc;
r = sqrt(x*x+y*y)/r1;
val1 = 1.0-exp(-pow(a1*r,b1));
r = sqrt(x*x+y*y)/r0;
val0 = exp(-pow(a0*r,b0));
data.image[IDmaskRM].array.F[jj*msizex+ii] = val0*val1;
}
save_fits("dmmaskRM", "!dmmaskRM.fits");
xc1 = xc;
yc1 = yc;
}
else /// extract xc and yc from mask
{
xc1 = 0.0;
yc1 = 0.0;
totm = 0.0;
for(ii=0; ii<msizex; ii++)
for(jj=0; jj<msizey; jj++)
{
xc1 += 1.0*ii*data.image[IDmaskRM].array.F[jj*msizex+ii];
yc1 += 1.0*jj*data.image[IDmaskRM].array.F[jj*msizex+ii];
totm += data.image[IDmaskRM].array.F[jj*msizex+ii];
}
xc1 /= totm;
yc1 /= totm;
}
totm = arith_image_total("dmmaskRM");
if((msizex != data.image[IDmaskRM].md[0].size[0])||(msizey != data.image[IDmaskRM].md[0].size[1]))
{
printf("ERROR: file dmmaskRM size (%ld %ld) does not match expected size (%ld %ld)\n", (long) data.image[IDmaskRM].md[0].size[0], (long) data.image[IDmaskRM].md[0].size[1], (long) msizex, (long) msizey);
exit(0);
}
}
else
totm = 1.0;
COMPUTE_DM_MODES = 0;
ID2b = image_ID("fmodes2ball");
if(ID2b == -1)
COMPUTE_DM_MODES = 1;
if(COMPUTE_DM_MODES==1) // DM modes fmodes2b
{
long ID0 = -1;
long NBZ = 0;
long IDmfcpa;
float CPAblocklim[MAX_MBLOCK]; // defines CPA limits for blocks
long IDslaved;
if(MODAL==0)
{
long IDmaskRMin;
long IDmaskRMedge;
// AOloopControl_mkloDMmodes(ID_name, msizex, msizey, CPAmax, deltaCPA, xc, yc, r0, r1, MaskMode);
//NBZ = 5; /// 3: tip, tilt, focus
NBZ = 0;
for(m=0; m<10; m++)
{
if(zcpa[m]<CPAmax)
NBZ++;
}
// here we create simple Fourier modes
linopt_imtools_makeCPAmodes("CPAmodes", msizex, CPAmax, deltaCPA, 0.5*msizex, 1.2, 0);
ID0 = image_ID("CPAmodes");
long IDfreq = image_ID("cpamodesfreq");
printf(" %ld %ld %ld\n", msizex, msizey, (long) (data.image[ID0].md[0].size[2]-1) );
ID = create_3Dimage_ID(ID_name, msizex, msizey, data.image[ID0].md[0].size[2]-1+NBZ);
IDmfcpa = create_2Dimage_ID("modesfreqcpa", data.image[ID0].md[0].size[2]-1+NBZ, 1);
zernike_init();
double PA;
uint_fast32_t k;
for(k=0; k<NBZ; k++)
{
data.image[IDmfcpa].array.F[k] = zcpa[k];
for(ii=0; ii<msizex; ii++)
for(jj=0; jj<msizey; jj++)
{
x = 1.0*ii-xc1;
y = 1.0*jj-yc1;
r = sqrt(x*x+y*y)/r1;
PA = atan2(y,x);
data.image[ID].array.F[k*msizex*msizey+jj*msizex+ii] = Zernike_value(zindex[k], r, PA);
}
}
for(k=0; k<data.image[ID0].md[0].size[2]-1; k++)
{
data.image[IDmfcpa].array.F[k+NBZ] = data.image[IDfreq].array.F[k+1];
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[(k+NBZ)*msizex*msizey+ii] = data.image[ID0].array.F[(k+1)*msizex*msizey+ii];
}
fp = fopen("rmscomp.dat", "w");
for(k=0; k<data.image[ID0].md[0].size[2]-1+NBZ; k++)
{
// set RMS = 1 over mask
rms = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
{
//data.image[ID].array.F[k*msizex*msizey+ii] -= offset/totm;
rms += data.image[ID].array.F[k*msizex*msizey+ii]*data.image[ID].array.F[k*msizex*msizey+ii]*data.image[IDmaskRM].array.F[ii];
}
rms = sqrt(rms/totm);
printf("Mode %ld RMS = %lf\n", k, rms);
fprintf(fp, "%5ld %g ", k, rms);
/// Remove excluded modes if they exist
/* IDeModes = image_ID("emodes");
if(IDeModes!=-1)
{
IDtm = create_2Dimage_ID("tmpmode", msizex, msizey);
for(ii=0; ii<msizex*msizey; ii++)
data.image[IDtm].array.F[ii] = data.image[ID].array.F[k*msizex*msizey+ii];
linopt_imtools_image_fitModes("tmpmode", "emodes", "dmmaskRM", 1.0e-3, "lcoeff", 0);
linopt_imtools_image_construct("emodes", "lcoeff", "em00");
delete_image_ID("lcoeff");
IDem = image_ID("em00");
// coeff = 1.0-exp(-pow(1.0*k/kelim,6.0));
if(k>kelim)
coeff = 1.0;
else
coeff = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[k*msizex*msizey+ii] = data.image[IDtm].array.F[ii] - coeff*data.image[IDem].array.F[ii];
delete_image_ID("em00");
delete_image_ID("tmpmode");
}*/
// Compute total of image over mask -> totvm
double totvm = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
totvm += data.image[ID].array.F[k*msizex*msizey+ii]*data.image[IDmaskRM].array.F[ii];
// compute DC offset in mode
double offset = totvm/totm;
// remove DM offset
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[k*msizex*msizey+ii] -= offset;
offset = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
offset += data.image[ID].array.F[k*msizex*msizey+ii]*data.image[IDmaskRM].array.F[ii];
// set RMS = 1 over mask
rms = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
{
data.image[ID].array.F[k*msizex*msizey+ii] -= offset/totm;
rms += data.image[ID].array.F[k*msizex*msizey+ii]*data.image[ID].array.F[k*msizex*msizey+ii]*data.image[IDmaskRM].array.F[ii];
}
rms = sqrt(rms/totm);
printf("\r Mode %ld RMS = %lf ", k, rms);
fprintf(fp, " %g\n", rms);
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[k*msizex*msizey+ii] /= rms;
}
fclose(fp);
printf("\n");
if(MaskMode==1)
{
long kernsize = 5;
if(2*kernsize>msizex)
kernsize = msizex/2;
long citer;
long NBciter = 200;
for(citer=0; citer<NBciter; citer++)
{
printf("Convolution [%3ld/%3ld]\n", citer, NBciter);
gauss_filter(ID_name, "modeg", 4.0*pow(1.0*(NBciter-citer)/NBciter,0.5), kernsize);
long IDg = image_ID("modeg");
uint_fast32_t k;
for(k=0; k<data.image[ID].md[0].size[2]; k++)
{
for(ii=0; ii<msizex*msizey; ii++)
if(data.image[IDmaskRM].array.F[ii]<0.98)
data.image[ID].array.F[k*msizex*msizey+ii] = data.image[IDg].array.F[k*msizex*msizey+ii];
}
delete_image_ID("modeg");
}
}
// MAKE MASKS FOR EDGE EXTRAPOLATION
IDslaved = image_ID("dmslaved");
// load or create DM mask : union of dmslaved and dmmaskRM
//IDmask = load_fits("dmmask.fits", "dmmask", 1);
printf("Create DM mask\n");
fflush(stdout);
//IDmask = -1;
//if(IDmask == -1)
//{
IDmask = create_2Dimage_ID("dmmask", msizex, msizey);
for(ii=0; ii<msizex*msizey; ii++)
{
data.image[IDmask].array.F[ii] = 1.0 - (1.0-data.image[IDmaskRM].array.F[ii])*(1.0-data.image[IDslaved].array.F[ii]);
// data.image[IDmask].array.F[ii] = 1.0 - (1.0-data.image[IDslaved].array.F[ii]);
if(data.image[IDmask].array.F[ii]>1.0)
data.image[IDmask].array.F[ii] = 1.0;
}
save_fits("dmmask", "!dmmask.fits");
//}
// EDGE PIXELS IN IDmaskRM
IDmaskRMedge = AOloopControl_computeCalib_DMedgeDetect(data.image[IDmaskRM].md[0].name, "dmmaskRMedge");
save_fits("dmmaskRMedge", "!dmmaskRMedge.fits");
// IDmaskRM pixels excluding edge
IDmaskRMin = create_2Dimage_ID("dmmaskRMin", msizex, msizey);
for(ii=0; ii<msizex*msizey; ii++)
data.image[IDmaskRMin].array.F[ii] = data.image[IDmaskRM].array.F[ii] * (1.0 - data.image[IDmaskRMedge].array.F[ii]);
save_fits("dmmaskRMin", "!dmmaskRMin.fits");
save_fits(ID_name, "!./mkmodestmp/_test_fmodes0all00.fits");
IDtmp = AOloopControl_computeCalib_DMextrapolateModes(ID_name, "dmmaskRMin", "modesfreqcpa", "fmodes0test");
save_fits("fmodes0test", "!fmodes0test.fits");
for(m=0; m<data.image[ID].md[0].size[2]; m++)
{
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[m*msizex*msizey+ii] = data.image[IDtmp].array.F[m*msizex*msizey+ii] * data.image[IDmask].array.F[ii];
}
}
else
{
ID = create_3Dimage_ID(ID_name, msizex, msizey, msizex);
IDmfcpa = create_2Dimage_ID("modesfreqcpa", msizex, 1);
for(m=0; m<data.image[ID].md[0].size[2]; m++)
{
if(m<10)
data.image[IDmfcpa].array.F[m] = zcpa[m];
else
data.image[IDmfcpa].array.F[m] = zcpa[9];
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[m*msizex*msizey+ii] = 0.0;
data.image[ID].array.F[m*msizex*msizey+m] = 1.0;
}
}
printf("SAVING MODES : %s...\n", ID_name);
save_fits(ID_name, "!./mkmodestmp/fmodes0all_00.fits");
// remove modes
uint_fast32_t k;
for(k=0; k<data.image[ID0].md[0].size[2]-1 + NBZ; k++)
{
/// Remove excluded modes if they exist
long IDeModes = image_ID("emodes");
if(IDeModes!=-1)
{
long kelim = 5;
long IDtm = create_2Dimage_ID("tmpmode", msizex, msizey);
for(ii=0; ii<msizex*msizey; ii++)
data.image[IDtm].array.F[ii] = data.image[ID].array.F[k*msizex*msizey+ii];
linopt_imtools_image_fitModes("tmpmode", "emodes", "dmmask", 1.0e-3, "lcoeff", 0);
linopt_imtools_image_construct("emodes", "lcoeff", "em00");
delete_image_ID("lcoeff");
long IDem = image_ID("em00");
double coeff = 1.0-exp(-pow(1.0*k/kelim,6.0));
if(k>kelim)
coeff = 1.0;
else
coeff = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[k*msizex*msizey+ii] = data.image[IDtm].array.F[ii] - coeff*data.image[IDem].array.F[ii];
delete_image_ID("em00");
delete_image_ID("tmpmode");
}
// Compute total of image over mask -> totvm
double totvm = 0.0;
totm = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
{
totvm += data.image[ID].array.F[k*msizex*msizey+ii]*data.image[IDmask].array.F[ii];
totm += data.image[IDmask].array.F[ii];
}
// compute DC offset in mode
double offset = totvm/totm;
// remove DM offset
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[k*msizex*msizey+ii] -= offset;
offset = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
offset += data.image[ID].array.F[k*msizex*msizey+ii]*data.image[IDmask].array.F[ii];
// set RMS = 1 over mask
rms = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
{
data.image[ID].array.F[k*msizex*msizey+ii] -= offset/totm;
rms += data.image[ID].array.F[k*msizex*msizey+ii]*data.image[ID].array.F[k*msizex*msizey+ii]*data.image[IDmask].array.F[ii];
}
rms = sqrt(rms/totm);
printf("Mode %ld RMS = %lf\n", k, rms);
for(ii=0; ii<msizex*msizey; ii++)
data.image[ID].array.F[k*msizex*msizey+ii] /= rms;
}
save_fits(ID_name, "!./mkmodestmp/fmodes0all.fits");
long IDmodes0all = image_ID(ID_name);
printf("DONE SAVING\n");
// time : 0:04
/// COMPUTE WFS RESPONSE TO MODES -> fmodesWFS00all.fits
msizexy = msizex*msizey;
ID = image_ID(ID_name);
IDzrespM = image_ID("zrespM");
save_fits("zrespM", "!_test_zrespM.fits");
save_fits(ID_name, "!_test_name.fits");
if(data.image[IDzrespM].md[0].size[2]!=msizexy)
{
printf("ERROR: zrespM has wrong z size : %ld, should be %ld\n", (long) data.image[IDzrespM].md[0].size[2], (long) msizexy);
exit(0);
}
wfsxsize = data.image[IDzrespM].md[0].size[0];
wfsysize = data.image[IDzrespM].md[0].size[1];
wfssize = wfsxsize*wfsysize;
IDm = create_3Dimage_ID("fmodesWFS00all", wfsxsize, wfsysize, data.image[ID].md[0].size[2]);
printf("size: %ld %ld %ld\n", (long) data.image[ID].md[0].size[2], msizexy, wfssize);
printf("\n");
long act1, act2;
# ifdef _OPENMP
#pragma omp parallel for private(m,m1,act,act1,act2,wfselem)
# endif
for(m=0; m<data.image[ID].md[0].size[2]; m++)
{
m1 = m*wfssize;
printf("\r %5ld / %5ld ", m, (long) data.image[ID].md[0].size[2]);
fflush(stdout);
for(act=0; act<msizexy; act++)
{
act1 = m*msizexy+act;
act2 = act*wfssize;
for(wfselem=0; wfselem<wfssize; wfselem++)
{
data.image[IDm].array.F[m1+wfselem] += data.image[ID].array.F[act1] * data.image[IDzrespM].array.F[act2+wfselem];
}
}
}
// if modal response matrix exists, use it
IDRMMmodes = image_ID("RMMmodes"); // modal resp matrix modes
IDRMMresp = image_ID("RMMresp"); // modal resp matrix
fpLOcoeff = fopen("./mkmodestmp/LOcoeff.txt", "w");
if(fpLOcoeff == NULL)
{
printf("ERROR: cannot create file \"LOcoeff.txt\"\n");
exit(0);
}
save_fits("fmodesWFS00all", "!./mkmodestmp/fmodesWFS00all.HO.fits");
if((IDRMMmodes!=-1)&&(IDRMMresp!=-1))
{
linfitsize = data.image[IDRMMmodes].md[0].size[2];
IDRMM_coeff = create_2Dimage_ID("linfitcoeff", linfitsize, 1);
ID_imfit = create_2Dimage_ID("imfitim", msizex, msizey);
IDcoeffmat = create_2Dimage_ID("imfitmat", linfitsize, data.image[ID].md[0].size[2]);
linfitreuse = 0;
IDwfstmp = create_2Dimage_ID("wfsimtmp", wfsxsize, wfsysize);
for(m=0; m<data.image[IDmodes0all].md[0].size[2]; m++)
{
for(ii=0; ii<msizexy; ii++)
data.image[ID_imfit].array.F[ii] = data.image[IDmodes0all].array.F[m*msizexy+ii];
linopt_imtools_image_fitModes("imfitim", "RMMmodes", "dmmaskRM", 1.0e-2, "linfitcoeff", linfitreuse);
linfitreuse = 1;
for(jj=0; jj<linfitsize; jj++)
data.image[IDcoeffmat].array.F[m*linfitsize+jj] = data.image[IDRMM_coeff].array.F[jj];
// construct linear fit result (DM)
IDtmp = create_2Dimage_ID("testrc", msizex, msizey);
for(jj=0; jj<linfitsize; jj++)
for(ii=0; ii<msizex*msizey; ii++)
data.image[IDtmp].array.F[ii] += data.image[IDRMM_coeff].array.F[jj]*data.image[IDRMMmodes].array.F[jj*msizex*msizey+ii];
res = 0.0;
resn = 0.0;
for(ii=0; ii<msizex*msizey; ii++)
{
v0 = data.image[IDtmp].array.F[ii]-data.image[ID_imfit].array.F[ii];
vn = data.image[ID_imfit].array.F[ii];
res += v0*v0;
resn += vn*vn;
}
res /= resn;
res1 = 0.0;
for(jj=0; jj<linfitsize; jj++)
res1 += data.image[IDRMM_coeff].array.F[jj]*data.image[IDRMM_coeff].array.F[jj];
delete_image_ID("testrc");
LOcoeff = 1.0/(1.0+pow(10.0*res, 4.0));
if(res1>1.0)
LOcoeff *= 1.0/(1.0+pow((res1-1.0)*0.1, 2.0));
fprintf(fpLOcoeff, "%5ld %20g %20g -> %f\n", m, res, res1, LOcoeff);
// printf("%5ld %20g %20g -> %f\n", m, res, res1, LOcoeff);
if(LOcoeff>0.01)
{
// construct linear fit (WFS space)
for(wfselem=0; wfselem<wfssize; wfselem++)
data.image[IDwfstmp].array.F[wfselem] = 0.0;
for(jj=0; jj<linfitsize; jj++)
for(wfselem=0; wfselem<wfssize; wfselem++)
data.image[IDwfstmp].array.F[wfselem] += data.image[IDRMM_coeff].array.F[jj] * data.image[IDRMMresp].array.F[jj*wfssize+wfselem];
for(wfselem=0; wfselem<wfssize; wfselem++)
data.image[IDm].array.F[m*wfssize+wfselem] = LOcoeff*data.image[IDwfstmp].array.F[wfselem] + (1.0-LOcoeff)*data.image[IDm].array.F[m*wfssize+wfselem];
}
}
delete_image_ID("linfitcoeff");
delete_image_ID("imfitim");
delete_image_ID("wfsimtmp");
save_fits("imfitmat", "!imfitmat.fits");
delete_image_ID("imfitmat");
}
fclose(fpLOcoeff);
printf("\n");
save_fits("fmodesWFS00all", "!./mkmodestmp/fmodesWFS00all.fits");
// exit(0);
// time : 0:42
/// STEP 2: SEPARATE DM MODES INTO BLOCKS AND MASK
msizexy = msizex*msizey;
CPAblocklim[0] = 0.1; // tip and tilt
CPAblocklim[1] = 0.3; // focus
CPAblocklim[2] = 1.6; // other Zernikes
CPAblocklim[3] = 3.0;
CPAblocklim[4] = 5.0;
CPAblocklim[5] = 7.0;
CPAblocklim[6] = 9.0;
CPAblocklim[7] = 11.0;
CPAblocklim[8] = 13.0;
CPAblocklim[9] = 15.0;
CPAblocklim[10] = 17.0;
CPAblocklim[11] = 19.0;
CPAblocklim[12] = 21.0;
CPAblocklim[13] = 100.0;
for(mblock=0; mblock<MAX_MBLOCK; mblock++)
MBLOCK_NBmode[mblock] = 0;
NBmblock = 0;
for(m=0; m<data.image[ID].md[0].size[2]; m++)
{
float cpa = data.image[IDmfcpa].array.F[m];
mblock = 0;
while (cpa > CPAblocklim[mblock])
{
// printf("[%ld %f %f -> +]\n", mblock, cpa, CPAblocklim[mblock]);
mblock++;
}
MBLOCK_NBmode[mblock]++;
if(mblock>NBmblock)
NBmblock = mblock;
// printf("%ld %f -> %ld\n", m, cpa, mblock);
}
NBmblock++;
long IDextrablock = image_ID("extrablockM");
if(IDextrablock != -1)
{
extrablockIndex = 4;
fp = fopen("./conf/param_extrablockIndex.txt", "r");
if(fp != NULL)
{
if(fscanf(fp, "%50ld", &extrablockIndex) != 1)
printERROR(__FILE__, __func__, __LINE__, "cannot read parameter from file");
fclose(fp);
}
}
for(mblock=0; mblock<NBmblock; mblock++)
{
long mblock1;
if(IDextrablock != -1)
{
mblock1 = mblock;
if(mblock>extrablockIndex-1)
mblock1 = mblock+1;
}
else
mblock1 = mblock;
if(sprintf(imname, "fmodes0_%02ld", mblock1) < 1)
printERROR(__FILE__, __func__, __LINE__, "sprintf wrote <1 char");
MBLOCK_ID[mblock1] = create_3Dimage_ID(imname, msizex, msizey, MBLOCK_NBmode[mblock]);
MBLOCK_ID[mblock1] = image_ID(imname);
}
for(mblock=0; mblock<MAX_MBLOCK; mblock++)
MBLOCK_NBmode[mblock] = 0;
ID = image_ID("fmodes");
for(m=0; m<data.image[ID].md[0].size[2]; m++)
{
long mblock1;
float cpa = data.image[IDmfcpa].array.F[m];
mblock = 0;
while (cpa > CPAblocklim[mblock])
mblock++;
if(IDextrablock!= -1)
{
mblock1 = mblock;
if(mblock>extrablockIndex-1)
mblock1 = mblock+1;
}
else
mblock1 = mblock;
for(ii=0; ii<msizex*msizey; ii++)
data.image[MBLOCK_ID[mblock1]].array.F[MBLOCK_NBmode[mblock1]*msizex*msizey+ii] = data.image[ID].array.F[m*msizex*msizey+ii]*data.image[IDmaskRM].array.F[ii];
MBLOCK_NBmode[mblock1]++;
}
if(IDextrablock != -1)
{
mblock = extrablockIndex;
if(sprintf(imname, "fmodes0_%02ld", mblock) < 1)
printERROR(__FILE__, __func__, __LINE__, "sprintf wrote <1 char");
MBLOCK_NBmode[mblock] = data.image[IDextrablock].md[0].size[2];
MBLOCK_ID[mblock] = create_3Dimage_ID(imname, msizex, msizey, MBLOCK_NBmode[mblock]);
for(m=0; m<MBLOCK_NBmode[mblock]; m++)
for(ii=0; ii<msizex*msizey; ii++)
data.image[MBLOCK_ID[mblock]].array.F[m*msizex*msizey+ii] = data.image[IDextrablock].array.F[m*msizex*msizey+ii]*data.image[IDmaskRM].array.F[ii];
NBmblock++;
}
// time : 00:42
/// STEP 3: REMOVE NULL SPACE WITHIN EACH BLOCK - USE SVDlim00 FOR CUTOFF -> fmodes1all.fits (DM space)
printf("STEP 3: REMOVE NULL SPACE WITHIN EACH BLOCK - USE SVDlim00 FOR CUTOFF -> fmodes1all.fits (DM space)\n");
fflush(stdout);
for(mblock=0; mblock<NBmblock; mblock++)
{