PRO dustem_read_fits_table,filename=filename,help=help,dustem_spectra_st=dustem_spectra_st ;+ ; NAME: ; dustem_read_fits_table ; PURPOSE: ; Reads a Dustem fits table into current Dustem system variables ; CATEGORY: ; Dustem ; CALLING SEQUENCE: ; dustem_read_fits_table[,filename=][,/help] ; INPUTS: ; OPTIONAL INPUT PARAMETERS: ; filename = File name (default='/tmp/dustem_wrap_ouput_final.fits') ; OUTPUTS: ; None ; OPTIONAL OUTPUT PARAMETERS: ; dustem_spectra_st = emission and extinction spectra (total and for each grain type) ; ACCEPTED KEY-WORDS: ; help = If set, print this help ; COMMON BLOCKS: ; None ; SIDE EFFECTS: ; dustem system variables are set ; RESTRICTIONS: ; The dustem idl wrapper must be installed ; PROCEDURE: ; None ; EXAMPLES ; ; MODIFICATION HISTORY: ; Written by J.-Ph. Bernard July 2022 ; Evolution details on the DustEMWrap gitlab. ; See http://dustemwrap.irap.omp.eu/ for FAQ and help. ;- IF keyword_set(help) THEN BEGIN doc_library,'dustem_read_fits_table' goto,the_end ENDIF ;write final file IF keyword_set(filename) THEN BEGIN file=filename ENDIF ELSE BEGIN file='./dustemwrap_results.fits' ENDELSE message,'Reading '+file,/info unit_input_sed=1 unit_predicted_sed=2 unit_predicted_spectra=3 unit_predicted_extinctions=4 ;==== Write the observed SED in extension 1 str_input_SED=mrdfits(file,unit_input_sed,header_input_sed) ;==== add the predicted SED in extension 2 str_predicted_SED=mrdfits(file,unit_predicted_sed,header_predicted_SED) ;==== add the predicted total spectrum in extension 3 ;str_predicted_spectrum_tot=mrdfits(file,3,header_predicted_spectrum_tot) used_model=strtrim(sxpar(header_predicted_SED,'MODEL'),2) IF used_model NE 'DEFAULT' THEN BEGIN dustem_init,model=used_model ENDIF ELSE BEGIN dustem_init,model=0 ENDELSE !dustem_model=used_model ;stop ;==== This is to create (*!dustem_data).sed in case it does not exist already Nsed=n_elements(str_input_SED) sed=dustem_initialize_internal_sed(Nsed) (*!dustem_data).sed=ptr_new(sed) (*(*!dustem_data).sed).instru_names=dustem_filter2instru(str_input_SED.filter) (*(*!dustem_data).sed).filt_names=str_input_SED.filter (*(*!dustem_data).sed).wav=str_input_SED.wavelength (*(*!dustem_data).sed).values=str_input_SED.I (*(*!dustem_data).sed).sigma=str_input_SED.varianceII IF !run_pol NE 0 THEN BEGIN ENDIF ;predicted_I_sed=str_predicted_spectrum_tot.I best_fit_chi2=sxpar(header_predicted_SED,'CHI2') best_fit_rchi2=sxpar(header_predicted_SED,'RCHI2') ;===== Fill in header with parameter values ;parameters_desc=*(*!dustem_fit).PARAM_DESCS ;parameters_init_values=*(*!dustem_fit).PARAM_INIT_VALUES ;best_parameters=*(*!dustem_fit).CURRENT_PARAM_VALUES ;best_parameters_uncertainties=*(*!dustem_fit).CURRENT_PARAM_ERRORS ;best_fit_chi2=(*!dustem_fit).CHI2 ;best_fit_rchi2=(*!dustem_fit).RCHI2 Nparams=sxpar(header_predicted_SED,'NPARAMS') parameters_desc=strarr(Nparams) best_parameters=dblarr(Nparams) best_parameters_init_values=dblarr(Nparams) best_parameters_uncertainties=dblarr(Nparams) parameters_func_values=dblarr(Nparams) FOR i=0L,Nparams-1 DO BEGIN parameters_desc[i]=sxpar(header_predicted_SED,'PARN'+strtrim(i+1,2)) best_parameters[i]=sxpar(header_predicted_SED,'PARV'+strtrim(i+1,2)) best_parameters_uncertainties[i]=sxpar(header_predicted_SED,'PARU'+strtrim(i+1,2)) best_parameters_init_values[i]=sxpar(header_predicted_SED,'PARI'+strtrim(i+1,2)) parameters_func_values[i]=sxpar(header_predicted_SED,'PARI'+strtrim(i+1,2)) ENDFOR (*!dustem_fit).PARAM_DESCS=ptr_new(parameters_desc) (*!dustem_fit).PARAM_INIT_VALUES=ptr_new(best_parameters_init_values) (*!dustem_fit).CURRENT_PARAM_VALUES=ptr_new(best_parameters) (*!dustem_fit).CURRENT_PARAM_ERRORS=ptr_new(best_parameters_uncertainties) (*!dustem_fit).CHI2=best_fit_chi2 (*!dustem_fit).RCHI2=best_fit_rchi2 (*!dustem_fit).PARAM_FUNC=ptr_new(parameters_func_values) ;=== Below is only to get the same output form as dustem_compute_sed ;Note: If the same model is used, the outputs should be the same as what is in the fits file .... dustem_predicted_sed=dustem_compute_sed(*(*!dustem_fit).current_param_values,out_st=dustem_spectra_st) ;==== get the predicted emission spectra from extension 4 toto=mrdfits(file,unit_predicted_spectra,header_predicted_spectra) dustem_spectra_st.sed=toto ;==== get the predicted extinction spectra from extension 5 toto=mrdfits(file,unit_predicted_extinctions,header_predicted_extinctions) dustem_spectra_st.ext=toto ;stop the_end: END