dustem_mpfit_data.pro
4.86 KB
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FUNCTION dustem_mpfit_data,tol=tol,Nitermax=Nitermax,gtol=gtol,function_name=function_name,xtol=xtol,_extra=_extra
;+
; NAME:
; dustem_mpfit_data
;
; PURPOSE:
; call MPFIT to fit observational datas using ponderated reduced chi2
; between extinction, emission, and polarisation as defined in !fit_rchi2_weight
;
; CATEGORY:
; Dustem
;
; CALLING SEQUENCE:
; res=dustem_mpfit_data(tol=tol,Nitermax=Nitermax,gtol=gtol)
;
; INPUTS:
; None
;
; OPTIONAL INPUT PARAMETERS:
;
; OUTPUTS:
; None
;
; OPTIONAL OUTPUT PARAMETERS:
;
; ACCEPTED KEY-WORDS:
; help = If set, print this help
;
; COMMON BLOCKS:
; None
;
; SIDE EFFECTS:
; None
;
; RESTRICTIONS:
; The DustEM fortran code must be installed
; The DustEMWrap IDL code must be installed
;
; PROCEDURE:
; None
;
; EXAMPLES
;
; MODIFICATION HISTORY:
; Written by V. Guillet (2012)
; 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_mpfit_data'
goto,the_end
ENDIF
disp_str='====================================================='
IF not keyword_set(function_name) THEN BEGIN
func_name='dustem_mpfit_run'
ENDIF ELSE BEGIN
func_name=function_name
ENDELSE
;functargs={plot_it:1}
use_tol=1.e-14 ;Default tolerance value
use_Nitermax=3 ;Default maximum number of iterations
IF keyword_set(tol) THEN use_tol=tol
IF keyword_set(Nitermax) THEN use_Nitermax=Nitermax
; Build array concatenating observational data
if !run_pol then begin
ind_data_tag=dustem_data_tag(count=count_data_tag)
tagnames=tag_names(*!dustem_data)
testpol = tagnames EQ 'POLSED' or tagnames EQ 'POLEXT' or tagnames EQ 'POLFRAC' or tagnames EQ 'PSI_EM' or tagnames EQ 'PSI_EXT' or tagnames EQ 'FPOLEXT'
data_ind=where(~testpol,ctestpol)
if ctestpol ne 0 then begin
match,ind_data_tag,data_ind,ind1,ind2 ;not using match2 because when matching indices, if the first is 0 it doesn't count which is wrong.
;we also only need the points that match.
ind_data_tag = ind_data_tag[ind1]
count_data_tag = n_elements(ind_data_tag)
endif
endif else ind_data_tag=dustem_data_tag(count=count_data_tag)
fields=['wav','values','sigma']
FOR j=0,n_elements(fields)-1 DO BEGIN
instruc = fields(j)+' = ([0' ; we add 0 first to allow for ',' after it
for i=0, count_data_tag-1 do begin $ ; Add each data set
; Adapt sigma to the reduced chi2 ponderation defined in !fit_rchi2_weight between sed, ext, polext and polsed
; Total_reduced_chi2_driving_mpfit = sum_i ( chi2_i * (weight_i/n_i) )
; n : the total number of observational variables in the data
; n_i : the number of obs. variable in data i
; w_i : the weight for data i from !fit_rchi2_weight for the ponderation of reduced chi2
; ex : w_sed = 0.8, w_ext = 0.2 , i.e. rchi2_sed counts 4 times as much as rchi2_ext
; sed : 314 pts, ext : 52 pts, i.e. 6 times much more constraints in sed than in ext
; sigma_sed *= sqrt(314./366/0.8) = 1.03
; sigma_ext *= sqrt(52./366./0.2) = 0.84
; By increasing sigma by a factor w, we diminish the weight of the corresponding point by a factor w^2
if count_data_tag gt 1 and j eq 2 then begin ; sigma ponderation = sqrt(ni/wi)
if (*!fit_rchi2_weight).(i) gt 0 then begin
weight = sqrt(1./(*!fit_rchi2_weight).(i) )
endif else begin
weight = 1.d99
endelse
endif else begin
weight = 1.
endelse
;print,"WEIGHT",i,j,weight,n_elements((*!dustem_data.(i)).sigma),"/",n_elements(wav)
instruc += ', ((*(*!dustem_data).(' + strtrim(ind_data_tag(i),2) + ')).'+fields(j)+')*'+strtrim(weight,2)
;print,"INSTRUC",instruc
endfor
instruc += '])(1:*)' ; from 1 to exclude first 0
;print,'-> INSTRUC: ',instruc
toto=execute(instruc) ; Variables wav, values & sigma are created
ENDFOR
;stop
IF tag_exist(_extra,'show_plot') THEN !dustem_show_plot = _extra.show_plot
nocatch=!dustem_nocatch
p_min = dustem_mpfitfun(func_name,wav,values,sigma, $
parinfo=(*!dustem_parinfo), perror=perror, yfit=yfit, $
bestnorm=bestnorm, dof=dof,quiet=quiet, status=status, xtol=xtol, niter=niter_completed, ftol=use_tol, $
maxiter=use_Nitermax,gtol=gtol,errmsg=errmsg,functargs=_extra,nocatch=nocatch)
;stop
message,errmsg,/info
message,'mpfitfun Status='+strtrim(status,2),/info
p_dim=p_min*(*(*!dustem_fit).param_init_values)
!dustem_end = 1
;PRINT RESULTS
print,'<°)))>< <°)))>< <°)))>< <°)))>< <°)))>< <°)))>< <°)))>< <°)))><'
print,'Reached the end of dustem_mpfit_data.pro ... '
message, 'The best-fitting / final values of model free parameters are : ',/continue
print, p_dim
print,'<°)))>< <°)))>< <°)))>< <°)))>< <°)))>< <°)))>< <°)))>< <°)))><'
IF !dustem_noobj THEN BEGIN
dustemwrap_plot_noobj,p_dim,stp,_extra=_extra
ENDIF ELSE BEGIN
dustemwrap_plot,p_dim,stp,_extra=_extra
ENDELSE
the_end:
RETURN, p_dim
END