make_phangs_isrf_classes.pro
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PRO make_phangs_isrf_classes,bidon,source_name=source_name,fits=fits,help=help
;+
; NAME:
; make_phangs_isrf_classes
; CALLING SEQUENCE:
; make_phangs_isrf_classes[,/save]
; PURPOSE:
; generates the ISRF classes used in fiting PHANGs data
; INPUTS:
; None
; OPTIONAL KEYWORDS:
; save = if set, save the classes into a .sav file
; fits = if set, saves the classes into a .fits file
; help = if set, print this help
; OUTPUTS:
; None
; OPTIONAL INPUT:
; None
; OPTIONAL OUTPUT:
; None
; PROCEDURE AND SUBROUTINE USED
; None
; SIDE EFFECTS:
; None
; EXAMPLE:
; make_phangs_isrf_classes,/save
; MODIFICATION HISTORY:
; written by Jean-Philippe Bernard
;-
IF keyword_set(help) THEN BEGIN
doc_library,'make_phangs_isrf_classes'
goto,the_end
ENDIF
win=0L
;data_dir='/Volumes/PILOT_FLIGHT1/PHANGS-JWST/DR1/'
data_dir=!phangs_data_dir+'/ISRF/WORK/'
use_model='DBP90' ;Example with default keywords uses the DBP90 model
use_polarization=0 ; initialize Dustemwrap in no polarization mode
;== INITIALISE DUSTEM
dustem_init,model=use_model,polarization=use_polarization,show_plots=show_plots
use_source_name='ngc0628'
IF keyword_set(source_name) THEN use_source_name=source_name
;==== restore needed data
restore,data_dir+use_source_name+'_isrf_min_prediction.sav',/verb
;% RESTORE: Restored variable: ISRFS.
;% RESTORE: Restored variable: OBJECT_DISTANCE.
;% RESTORE: Restored variable: OBJECT_THICKNESS.
;% RESTORE: Restored variable: SOURCE_NAME.
;=== The following is restored only for variables HREF and ALL_SEDS_INDICES
;=== in order to generate the fits class map fo that galaxy
restore,data_dir+use_source_name+'_ref_header.sav',/verb
;% RESTORE: Restored variable: HREF.
;=== The following is restored only for variables HREF and ALL_SEDS_INDICES
;=== in order to generate the fits class map fo that galaxy
restore,data_dir+use_source_name+'_astrosat_seds_muse_pixels.sav',/verb
;% RESTORE: Restored variable: ALL_SEDS.
;% RESTORE: Restored variable: ALL_SEDS_INDICES.
class_map=lonarr(sxpar(href,'NAXIS1'),sxpar(href,'NAXIS2'))
;stop
;=== Defines ISRF classes, based on a given galaxy
lambir=dustem_get_wavelengths(isrf_wavelengths=isrf_wavelengths)
Nlamb=(size(ISRFS))[1]
Nvor=(size(ISRFS))[2]
;Define normalized ISRFs
n_ISRFS=fltarr(Nlamb,Nvor) ;ISRFs normalized to 1 micron
n_wavs=fltarr(Nlamb,Nvor)
ind=where(isrf_wavelengths GT 1.)
indd=ind[0]
FOR vid=0L,Nvor-1 DO BEGIN
n_ISRFS[*,vid]=ISRFS[*,vid]/ISRFS[indd,vid]
n_wavs[*,vid]=isrf_wavelengths
ENDFOR
;=== Plot 2D histogram of normalized ISRFs in NGC0628
x=reform(n_wavs,Nlamb*Nvor)
y=reform(n_ISRFS,Nlamb*Nvor)
;jpbloadct
loadct,13
Nx=200 & Ny=200
Nx=100 & Ny=100
xmin=-1.5 & xmax=2.
ymin=-5 & ymax=1.
xtit='log10(wav [mic])'
ytit='log10(ISRF/ISRF(1 mic))'
range=[-1,5]
window,win & win=win+1
plot_bin_correl,alog10(x),alog10(y),Nx,Ny,xmin=xmin,xmax=xmax,ymin=ymin,ymax=ymax,xtit=xtit,ytit=ytit,range=range;,/xlog ;,/ylog
;=== compute the median ISRFS
;med_isrf=la_median(n_ISRFS,dim=-1)
;refs_wavs=[0.11] ;This is set to be just before the Lymann break
reference_wavelength=1. ;all ISRFs are normalized to 1 mic
refs_wavs=[0.15] ;This is set to be just before the Lymann break
;ref_ratios=interpol(med_isrf,isrf_wavelengths,refs_wavs) ;actually not used
;These are the ratios which will be used to classify ISRFs
;==== compute ISRF ration for each Voronoi bin
isrf_ratio_values=fltarr(Nvor)
FOR i=0L,Nvor-1 DO BEGIN
isrf_ratio_values[i]=interpol(n_ISRFS[*,i],isrf_wavelengths,refs_wavs[0])
ENDFOR
undef_array=fltarr(Nlamb)
undef_array[*]=la_undef()
one_class={number:0L $ ;class number
,name:'' $ ;class name
,ISRF_wavelengths:undef_array $ ;isrf wavelengths
,ISRF_template:undef_array $ ;isrf template, normalized at reference_wavelength
,flux_ratio:0. $ ;flux ratio between flux_ratio_wav and reference_wavelength
,flux_ratio_wav:0. $ ;flux ratio wavelength
,reference_wavelength:reference_wavelength $ ;ISRF normalisation wavelength
,flux_ratio_min:0. $ ;minimum flux ratio to belong to this class
,flux_ratio_max:0. $ ;maximum flux ratio to belong to this class
}
; ,flux_ref:0. $ ;
; ,Nvor:0L $ ;number of Voronoi bins in the class
; ,voronoi_members:ptr_new() $ ;voronoi pixel members of that class
; ,voronoi_chi2:ptr_new()} ;chi2 between ref ISRF and voronoi member's ISRF
class_ratio_range=[1.e-5,10.] ;reange of flux ratios used in the classification
Nclasses=30L ;Number of classes used for classification
ratios=range_gen(Nclasses,class_ratio_range,/log,/get_minmax,min_values=ratios_min,max_values=ratios_max)
classes=replicate(one_class,Nclasses)
;====== fill in class values
Nvor_class=lonarr(Nclasses)
classes.number=lindgen(Nclasses)
classes.flux_ratio=ratios
classes.flux_ratio_wav=refs_wavs[0]
classes.flux_ratio_min=ratios_min
classes.flux_ratio_max=ratios_max
median_isrf=fltarr(Nlamb)
FOR i=0L,Nclasses-1 DO BEGIN
ind=where(isrf_ratio_values GE ratios_min[i] AND isrf_ratio_values LT ratios_max[i],count)
IF count NE 0 THEN BEGIN
FOR j=0L,Nlamb-1 DO BEGIN
median_isrf[j]=la_median(n_ISRFs[j,ind])
ENDFOR
classes[i].ISRF_template=median_isrf
classes[i].ISRF_wavelengths=isrf_wavelengths
Nvor_class[i]=count
FOR j=0L,count-1 DO BEGIN
class_map[*ALL_SEDS_INDICES[ind[j]]]=i
ENDFOR
ENDIF
ENDFOR
;stop
;=== Do a class (class 0) with a Mathis field
class0=one_class
class0.number=0L
class0.name='Mathis'
class0.reference_wavelength=1.
class0.flux_ratio_wav=refs_wavs[0]
file=!dustem_soft_dir+'/data/ISRF_MATHIS.DAT'
;file='/Users/jpb/Soft_Libraries/dustem_fortran/data/ISRF.DAT'
readcol,file,Mathis_wavs,Mathis_ISRF
Mathis_ISRF=interpol(Mathis_ISRF,Mathis_wavs,isrf_wavelengths)
n_Mathis_ISRF=Mathis_ISRF/interpol(Mathis_ISRF,isrf_wavelengths,class0.reference_wavelength)
;class0.ISRF_template=ptr_new(n_Mathis_ISRF)
class0.ISRF_template=n_Mathis_ISRF
class0.ISRF_wavelengths=isrf_wavelengths
ratio=interpol(n_Mathis_ISRF,isrf_wavelengths,class0.flux_ratio_wav)
class0.flux_ratio=ratio
class0.flux_ratio_min=ratio*(1.-0.1) ;arbitrary +-10% around ratio
class0.flux_ratio_max=ratio*(1.+0.1) ;arbitrary +-10% around ratio
Mathis_1mic=interpol(Mathis_ISRF,isrf_wavelengths,1.0)
message,'Mathis (G0=1) has 4*pi*Inu='+strtrim(Mathis_1mic,2)+' ergs/s/cm2/Hz',/continue
message,'Mathis (G0=1) has Inu(0.15 mic)/Inu(1 mic)='+strtrim(ratio,2)+' ',/continue
;=== Do a plot of ISRF classes
window,win & win=win+1
colors=range_gen(Nclasses,[0,255])
yrange=[1.e-5,10]
xrange=[1.e-2,1.e4]
xtit='Wavlenghts [mic]'
ytit='Normalized ISRF (Inu)'
cgplot,class0.ISRF_wavelengths,class0.ISRF_template,/xlog,/ylog,yrange=yrange,xrange=xrange,xtit=xtit,ytit=ytit
FOR i=0L,Nclasses-1 DO BEGIN
oplot,classes[i].ISRF_wavelengths,classes[i].ISRF_template,color=colors[i]
ENDFOR
;=== plot an histogram of the classes:
window,win & win=win+1
xtit='ISRF class #'
ytit='Number of Voronoi bins'
cgplot,Nvor_class,psym=10,xtit=xtit,ytit=ytit
;=== plot the class map:
cleanplot
window,win & win=win+1
obp=[1.1,0.,1.15,1]
imrange=[0,30]
image_cont20,class_map,href,/square,/silent,image_color_table='jpbloadct',axis_color_table=1,off_bar=obp,imrange=imrange
;stop
;save empty classes defined above
;IF keyword_set(save) THEN BEGIN
; file_save=data_dir+'isrf_classes_one_ratio.sav'
; file_save=data_dir+'isrf_classes_one_ratio_on_'+use_galaxy+'.sav'
; message,'Will save '+file_save,/continue
; message,'.c to proceed ',/continue
;stop
; save,classes,class0,file=file_save,/verb
; message,'Saved '+file_save,/continue
;ENDIF
;=== save a fits file
IF keyword_set(fits) THEN BEGIN
file_save=data_dir+'isrf_classes_one_ratio_on_'+use_source_name+'.fits'
;message,'Will save '+file_save,/continue
;message,'.c to proceed ',/continue
;stop
mwrfits,class0,file_save,/create
mwrfits,classes,file_save
message,'Saved '+file_save,/continue
file_save=data_dir+use_source_name+'_isrf_classes_map.fits'
writefits,file_save,class_map,href
message,'Saved '+file_save,/continue
ENDIF
the_end:
END