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/*
* This file is part of the ESO SINFONI Pipeline
* Copyright (C) 2004,2005 European Southern Observatory
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, 51 Franklin St, Fifth Floor, Boston, MA 02111-1307 USA
*/
/*----------------------------------------------------------------------------
File name : spiffi_north_south_test.c
Author : A. Modigliani
Created on : Sep 17, 2003
Description :
* nsh.h
* Result of a north-south test exposure are 32 continuum spectra of a
* pinhole that means one spectrum in each slitlet at the same spatial
* position.
* Each spectrum is fitted in sp[atial direction by a Gaussian to get the
* sub-pixel positions for each row.
*
* Then the distances are determined in each row and averaged
*
* Result: are distances of each slitlet from each other => 31 values stored
* in an ASCII file this Python script needs a frame of a pinhole source with
* a continuous spectrum, that is shifted exactly perpendicular to the
* slitlets. It fits the spectra in spatial direction by a Gaussian fit
* function and therefore determines the sub-pixel position of the source.
*
* Then the distances of the slitlets from each other are determined and
* saved in an ASCII list.
*
---------------------------------------------------------------------------*/
#ifdef HAVE_CONFIG_H
# include <config.h>
#endif
/*----------------------------------------------------------------------------
Includes
---------------------------------------------------------------------------*/
#include "sinfo_new_nst.h"
#include "sinfo_pro_save.h"
#include "sinfo_pro_types.h"
#include "sinfo_functions.h"
#include "sinfo_ns_ini_by_cpl.h"
#include "sinfo_cube_construct.h"
#include "sinfo_utilities.h"
#include "sinfo_utils_wrappers.h"
#include "sinfo_error.h"
#include "sinfo_globals.h"
/*----------------------------------------------------------------------------
Defines
---------------------------------------------------------------------------*/
/**@{*/
/**
* @addtogroup sinfo_rec_distortion North South test
*
* TBD
*/
/*----------------------------------------------------------------------------
Function Definitions
---------------------------------------------------------------------------*/
/*----------------------------------------------------------------------------
Function : north_south_test()
In : ini_file: file name of according .ini file
Out : integer (0 if it worked, -1 if it doesn't)
Job : Result of a north-south test exposure are 32 continuum
spectra of a pinhole that means one spectrum in each
slitlet at the same spatial position.
Each spectrum is fitted in sp[atial direction by a Gaussian
to get the sub-pixel positions for each row.
Then the distances are determined in each row and averaged
Result: are distances of each slitlet from each other =>
31 values stored in an ASCII file
---------------------------------------------------------------------------*/
int
sinfo_new_nst(const char* plugin_id,
cpl_parameterlist* config,
cpl_frameset* sof,
cpl_frameset* ref_set)
{
ns_config * cfg=NULL ;
cpl_imagelist * list_object=NULL ;
cpl_imagelist * list_off=NULL;
cpl_image * im_on=NULL;
cpl_image * im_on_sub=NULL ;
cpl_image * im_on_ind=NULL ;
cpl_image * im_on_gauss=NULL ;
cpl_image * im_mask=NULL ;
cpl_image * im_off=NULL ;
char* name=NULL;
char tbl_name[MAX_NAME_SIZE];
int typ=0;
int i = 0;
int nob =0;
int nof =0;
float* distances=NULL;
cpl_table* tbl_dist=NULL;
cpl_vector* qc_dist=NULL;
//double qc_dist_mean=0;
double qc_dist_stdev=0;
cpl_frameset* raw=NULL;
cpl_table* qclog_tbl=NULL;
char key_value[MAX_NAME_SIZE];
char key_name[MAX_NAME_SIZE];
int no=0;
double lo_cut=0.;
double hi_cut=0.;
int pdensity=0;
/*
-----------------------------------------------------------------
1) parse the file names and parameters to the ns_config data
structure cfg
-----------------------------------------------------------------
*/
/*
parse the file names and parameters to the ns_config data structure cfg
*/
sinfo_msg("Parse cpl input");
check_nomsg(raw=cpl_frameset_new());
cknull(cfg = sinfo_parse_cpl_input_ns(config,sof,&raw),
"could not parse cpl input!") ;
if (cfg->maskInd == 1) {
if(sinfo_is_fits_file(cfg->mask) != 1) {
sinfo_msg_error("Input file %s is not FITS",cfg->mask);
goto cleanup;
}
}
/*
--------------------------------------------------------------------
stack the frames in data cubes and take the clean mean of all frames
--------------------------------------------------------------------
*/
/* allocate memory for lists of object and off-frames */
sinfo_msg("stack the frames in data cubes");
check(list_object = cpl_imagelist_new(),
"could not allocate memory");
if (cfg->noff > 0 ) {
check(list_off = cpl_imagelist_new(),
"could not allocate memory");
}
/*
#build different image lists for the different cases----
*/
sinfo_msg("build different image lists for the different cases");
nob = 0;
nof = 0;
for (i=0; i< cfg->nframes; i++){
name = cfg->framelist[i];
if(sinfo_is_fits_file(name) != 1) {
sinfo_msg_error("Input file %s is not FITS",name);
goto cleanup;
} else {
typ = sinfo_new_intarray_get_value( cfg->frametype, i );
if (typ == 1) {
cpl_imagelist_set(list_object,
cpl_image_load(name,CPL_TYPE_FLOAT,0,0),nob);
nob = nob + 1;
} else {
cpl_imagelist_set(list_off,
cpl_image_load(name,CPL_TYPE_FLOAT,0,0),nof);
nof = nof + 1;
}
}
}
if (cfg->noff != nof || cfg->nobj != nob ){
sinfo_msg_error("something wrong with the number of the "
"different types of frames");
goto cleanup;
}
/*
#---take the average of the different cubes -------------
*/
sinfo_msg("take the average of the different cubes");
check_nomsg(no=cpl_imagelist_get_size(list_object));
lo_cut=(floor)(cfg->loReject*no+0.5);
hi_cut=(floor)(cfg->hiReject*no+0.5);
check(im_on=cpl_imagelist_collapse_minmax_create(list_object,lo_cut,hi_cut),
"sinfo_average_with_rejection failed" );
if (cfg->noff != 0) {
/*
im_off = sinfo_average_with_rejection( cube_off,
cfg->loReject, cfg->hiReject );
*/
check_nomsg(no=cpl_imagelist_get_size(list_off));
lo_cut=(floor)(cfg->loReject*no+0.5);
hi_cut=(floor)(cfg->hiReject*no+0.5);
check(im_off=cpl_imagelist_collapse_minmax_create(list_off,lo_cut,hi_cut),
"sinfo_average_with_rejection failed" );
sinfo_free_imagelist(&list_off);
}
sinfo_free_imagelist(&list_object);
/*
#finally, subtract off from on frames and store the result in the object cube
*/
if (cfg->noff != 0) {
sinfo_msg("subtract off from on frames");
check(im_on_sub = cpl_image_subtract_create(im_on, im_off),
"sinfo_sub_image failed" );
sinfo_free_image(&im_on);
sinfo_free_image(&im_off);
} else {
check_nomsg(im_on_sub = cpl_image_duplicate(im_on));
sinfo_free_image(&im_on);
}
/*
#---------------------------------------------------------
# convolution with Gaussian if recommended
#---------------------------------------------------------
*/
if (cfg->gaussInd == 1) {
sinfo_msg("convolution with Gaussian");
cknull(im_on_gauss = sinfo_new_convolve_ns_image_by_gauss(im_on_sub,
cfg->hw),
"could not carry out sinfo_convolveNSImageByGauss" );
sinfo_free_image(&im_on_sub);
check_nomsg(im_on_sub = cpl_image_duplicate(im_on_gauss));
sinfo_free_image(&im_on_gauss);
}
/*
#---------------------------------------------------------
# static bad pixel indication
#---------------------------------------------------------
*/
if (cfg->maskInd == 1) {
sinfo_msg("static bad pixel indication");
check(im_mask = cpl_image_load(cfg->mask,CPL_TYPE_FLOAT,0,0),
"could not load static bad pixel mask" );
cknull(im_on_ind = sinfo_new_mult_image_by_mask(im_on_sub, im_mask),
"could not carry out sinfo_multImageByMask" );
sinfo_free_image(&im_mask);
sinfo_free_image(&im_on_sub);
} else {
check_nomsg(im_on_ind = cpl_image_duplicate(im_on_sub));
sinfo_free_image(&im_on_sub);
}
if(pdensity > 1 && strcmp(plugin_id,"sinfo_rec_distortion")!=0) {
ck0(sinfo_pro_save_ima(im_on_ind,ref_set,sof,cfg->fitsname,
PRO_MASTER_SLIT,NULL,plugin_id,config),
"cannot save ima %s", cfg->fitsname);
}
/*
#---------------------------------------------------------
# do the north - south - test
#---------------------------------------------------------
*/
sinfo_msg("Do the north - south - test");
cknull(distances = sinfo_north_south_test(im_on_ind,
cfg->nslits,
cfg->halfWidth,
cfg->fwhm ,
cfg->minDiff,
cfg->estimated_dist,
cfg->devtol,
IMA_PIX_START,
IMA_PIX_END ),
"North South Test distance determination failed");
sinfo_free_image(&im_on_ind);
/*
sinfo_new_parameter_to_ascii(distances, cfg->nslits - 1, cfg->outName);
*/
check_nomsg(tbl_dist = cpl_table_new(cfg->nslits - 1));
check_nomsg(cpl_table_new_column(tbl_dist,"slitlet_distance",
CPL_TYPE_FLOAT));
check_nomsg(cpl_table_copy_data_float(tbl_dist,"slitlet_distance",
distances));
strcpy(tbl_name,cfg->outName);
check_nomsg(qclog_tbl = cpl_table_new(cfg->nslits + 1));
check_nomsg(cpl_table_new_column(qclog_tbl,"key_name", CPL_TYPE_STRING));
check_nomsg(cpl_table_new_column(qclog_tbl,"key_type", CPL_TYPE_STRING));
check_nomsg(cpl_table_new_column(qclog_tbl,"key_value", CPL_TYPE_STRING));
check_nomsg(cpl_table_new_column(qclog_tbl,"key_help", CPL_TYPE_STRING));
check_nomsg(qc_dist=cpl_vector_new(cfg->nslits - 1));
for(i=0;i<cfg->nslits - 1;i++) {
snprintf(key_name,MAX_NAME_SIZE-1,"%s%i","QC SL DIST",i);
cpl_table_set_string(qclog_tbl,"key_name",i,key_name);
cpl_table_set_string(qclog_tbl,"key_type",i,"CPL_TYPE_DOUBLE");
snprintf(key_value,MAX_NAME_SIZE-1,"%g",distances[i]);
cpl_table_set_string(qclog_tbl,"key_value",i,key_value);
cpl_table_set_string(qclog_tbl,"key_help",i,"Slitlet distance");
cpl_vector_set(qc_dist,i,distances[i]);
}
//check_nomsg(qc_dist_mean=cpl_vector_get_mean(qc_dist));
check_nomsg(qc_dist_stdev=cpl_vector_get_stdev(qc_dist));
cpl_table_set_string(qclog_tbl,"key_name",cfg->nslits-1,"QC SL DISTAVG");
cpl_table_set_string(qclog_tbl,"key_type",cfg->nslits-1,"CPL_TYPE_DOUBLE");
snprintf(key_value,MAX_NAME_SIZE-1,"%g",cpl_vector_get_mean(qc_dist));
cpl_table_set_string(qclog_tbl,"key_value",cfg->nslits-1,key_value);
cpl_table_set_string(qclog_tbl,"key_help",cfg->nslits-1,
"Average Slitlet distance");
cpl_table_set_string(qclog_tbl,"key_name",cfg->nslits,"QC SL DISTRMS");
cpl_table_set_string(qclog_tbl,"key_type",cfg->nslits,"CPL_TYPE_DOUBLE");
snprintf(key_value,MAX_NAME_SIZE-1,"%g",qc_dist_stdev);
cpl_table_set_string(qclog_tbl,"key_value",cfg->nslits,key_value);
cpl_table_set_string(qclog_tbl,"key_help",cfg->nslits,
"RMS Slitlet distance");
ck0(sinfo_pro_save_tbl(tbl_dist,ref_set,sof,tbl_name,
PRO_SLITLETS_DISTANCE,qclog_tbl,plugin_id,config),
"cannot dump tbl %s", tbl_name);
sinfo_free_my_vector(&qc_dist);
sinfo_free_table(&tbl_dist);
sinfo_free_table(&qclog_tbl);
sinfo_free_float(&distances);
sinfo_ns_free (&cfg);
sinfo_free_frameset(&raw);
return 0;
cleanup:
sinfo_free_my_vector(&qc_dist);
sinfo_free_table(&tbl_dist);
sinfo_free_table(&qclog_tbl);
sinfo_free_float(&distances);
sinfo_free_table(&tbl_dist);
sinfo_free_table(&qclog_tbl);
sinfo_free_imagelist(&list_object);
sinfo_free_imagelist(&list_off);
sinfo_free_image(&im_on);
sinfo_free_image(&im_mask);
sinfo_free_image(&im_on_gauss);
sinfo_free_image(&im_on_sub);
sinfo_free_image(&im_off);
sinfo_free_image(&im_on_ind);
sinfo_ns_free (&cfg);
sinfo_free_frameset(&raw);
return -1;
}
/**@}*/
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