PRO dustem_fit_intensity_example,model=model $ ,sed_file=sed_file $ ,Nitermax=Nitermax $ ,postscript=postscript $ ,fits_save_and_restore=fits_save_and_restore $ ,help=help $ ,wait=wait $ ,verbose=verbose ;This routine is an example of how to fit an observational SED (Stokes ;I only) with DustEM and DustEMWrap. The objective is to illustrate how to use DustEMWrap ; (and not to do science -- the fit obtained by running this example is ; likely to be poor!) ; ;For this example, the code uses the SED in the file example_SED_1.xcat, ;which is distributed in the Data/EXAMPLE_OBSDATA/ directory ; ;The example SED has Stokes I photometric data points from SPITZER ;IRAC and MIPS and IRAS. Examples illustrating running DustEMWrap to ;fit spectral data, polarisation data and extinction data ;are provided in other _example routines in the src/idl/ directory. ;+ ; NAME: ; dustem_fit_intensity_example ; PURPOSE: ; ; This routine is an example of how to fit an observational SED ; (Stokes I only) using DustEM and DustEMWrap. The objective is to ; illustrate how to use DustEMWrap (and not to do science -- the fit ; obtained by running this example is likely to be poor!) ; ; For this example, the code uses the SED in the file example_SED_1.xcat, ; which is distributed in the Data/EXAMPLE_OBSDATA/ directory ; ; The example SED has Stokes I photometric data points from SPITZER ; IRAC and MIPS and IRAS. Examples illustrating running DustEMWrap to ; fit spectral data, polarisation data and extinction data ; are provided in other _example routines in the src/idl/ directory. ; CATEGORY: ; DustEMWrap, Distributed, High-Level, User Example ; CALLING SEQUENCE: ; dustem_fit_intensity_example[,model=][sed_file=][,postscript=][,Nitermax=][,fits_save_and_restore=][,/help] ; INPUTS: ; None ; OPTIONAL INPUT PARAMETERS: ; None ; OUTPUTS: ; None ; OPTIONAL OUTPUT PARAMETERS: ; Plots, results structure in binary FITS table format ; ACCEPTED KEY-WORDS: ; model = specifies the interstellar dust mixture used by DustEM ; 'MC10' model from Compiegne et al 2010 (default) ; 'DBP90' model from Desert et al 1990 ; 'DL01' model from Draine & Li 2001 ; 'WD01_RV5p5B' model from Weingartner & Draine 2002 with Rv=5.5 ; 'DL07' model from Draine & Li 2007 ; 'J13' model from Jones et al 2013, as updated in ; Koehler et al 2014 ; 'G17_ModelA' model A from Guillet et al (2018). Includes ; polarisation. See Tables 2 and 3 of that paper for details. ; 'G17_ModelB' model B from Guillet et al (2018) ; 'G17_ModelC' model C from Guillet et al (2018) ; 'G17_ModelD' model A from Guillet et al (2018) ; sed_file = string naming the path to text file in .xcat format that ; describes the observational SED. If not set, the file ; 'Data/SEDs/sample_SED.xcat' is used. ; postscript = if set, final plot is saved as postscript in the ; current working directory ; Nitermax = maximum number of fit iterations. Default is 5. ; fits_save_and_restore = if set, save the fit results in a binary ; FITS file. The code then restore this file and plots ; the results using the saved results information. ; help = if set, print this help ; wait = if set, wait this many seconds between each step of ; the code (for illustration purposes) ; verbose = if set, subroutines will run in verbose mode ; COMMON BLOCKS: ; None ; SIDE EFFECTS: ; None ; RESTRICTIONS: ; The DustEM fortran code must be installed ; The DustEMWrap IDL code must be installed ; PROCEDURES AND SUBROUTINES USED: ; *** COMMENT AH --> is this really NONE? **** ; EXAMPLES ; dustem_fit_intensity_example ; dustem_fit_intensity_example,Nitermax=1,fits_save_and_restore='/tmp/mysavefile.fits' ; dustem_fit_intensity_example,model='DBP90' ; MODIFICATION HISTORY: ; Written by JPB Apr-2011 ; 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_fit_intensity_example' goto,the_end END IF keyword_set(model) THEN BEGIN use_model=strupcase(model) ENDIF ELSE BEGIN use_model='MC10' ;Default is the Compeigne et al (2011) model ENDELSE use_polarization=0 ; initialize Dustemwrap in no polarization mode use_window=2 ; default graphics window number to use for plotting the results use_verbose=0 if keyword_set(verbose) then use_verbose=1 ;=== Set the (model-dependent) parameters that you want to fit (pd) ; their initial values (iv) ; and whether they are bounded (ulimed,llimed,llims,ulims) ; fixed parameters (fpd) and their values (fiv) are also set here ;=== Refer to the DustEM and DustEMWrap userguides for an explanation ; of the different grain types CASE use_model OF 'DBP90':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;VSG mass fraction '(*!dustem_params).grains(2).mdust_o_mh', $ ;BG mass fraction 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0, 4.3e-4, 4.7e-4,6.4e-3,0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) fpd=[] & fiv=[] END 'DL01':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;PAH1 mass fraction '(*!dustem_params).grains(2).mdust_o_mh', $ ;Gra '(*!dustem_params).grains(3).mdust_o_mh', $ ;Gra '(*!dustem_params).grains(4).mdust_o_mh', $ ;aSil 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0,5.4e-4, 5.4e-4,1.8e-4,2.33e-3,8.27e-3,0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) fpd=[] & fiv=[] END 'WD01_RV5p5B':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;PAH1 mass fraction '(*!dustem_params).grains(2).mdust_o_mh', $ ;Gra '(*!dustem_params).grains(3).mdust_o_mh', $ ;Gra '(*!dustem_params).grains(4).mdust_o_mh', $ ;aSil 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0,5.4e-4, 5.4e-4,1.8e-4,1.64e-3,6.99e-3,0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) fpd=[] & fiv=[] END 'DL07':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;PAH1 mass fraction '(*!dustem_params).grains(2).mdust_o_mh', $ ;Gra '(*!dustem_params).grains(3).mdust_o_mh', $ ;Gra '(*!dustem_params).grains(4).mdust_o_mh', $ ;aSil 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0,4.97e-4, 4.97e-4,1.66e-4,2.21e-3,7.64e-3,0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) fpd=[] & fiv=[] END 'MC10':BEGIN ; parameters of the model to fit pd = [ $ '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;PAH1 mass fraction '(*!dustem_params).grains(2).mdust_o_mh', $ ;amCBEx '(*!dustem_params).grains(3).mdust_o_mh', $ ;amCBEx '(*!dustem_params).grains(4).mdust_o_mh' $ ;aSilx ] ; initial values of the model parameters that are to be varied during the fit iv = [ 7.8e-4, 7.8e-4, 1.65e-4, 1.45e-3, 6.7e-3] Npar=n_elements(pd) ; flags for whether the parameters are upper/lower bounded ulimed=replicate(0,Npar) llimed=replicate(1,Npar) ; lower bound value llims=replicate(0.,Npar) ; parameters of the model that are fixed fpd=[ $ '(*!dustem_params).gas.G0' , $ ; ISRF intensity (multiplicative factor x G0) 'dustem_plugin_continuum_2' $ ;intensity of NIR continuum ] ; values of the fixed model parameters fiv=[2.4, 3.e-3] END 'J13':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;CM20 -- power law size distribution '(*!dustem_params).grains(1).mdust_o_mh',$ ;CM20 -- logN size distribution '(*!dustem_params).grains(2).mdust_o_mh', $ ;aPyM5 '(*!dustem_params).grains(3).mdust_o_mh', $ ;aOlM5 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0, 1.7e-3, 6.3e-4,2.55e-3,2.55e-3,0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) fpd=[] & fiv=[] END 'G17_MODELA':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;amCB_0.3333x '(*!dustem_params).grains(2).mdust_o_mh', $ ;aSil2001_0.3333_p20B 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0, 7.094483e-4, 1.319896e-3, 5.588265e-3, 0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) use_polarization=1 fpd=[] & fiv=[] END 'G17_MODELB':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;amCB_0.3333x '(*!dustem_params).grains(2).mdust_o_mh', $ ;aSil_0.3333_p20B 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0, 6.480655e-4, 1.327672e-3, 5.267745e-3, 0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) use_polarization=1 fpd=[] & fiv=[] END 'G17_MODELC':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;amCBE_0.3333x '(*!dustem_params).grains(2).mdust_o_mh', $ ;aSil2001_0.3333_p20B 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0, 6.979060e-4, 1.555919e-3, 4.366849e-3, 0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) use_polarization=1 fpd=[] & fiv=[] END 'G17_MODELD':BEGIN pd = [ $ '(*!dustem_params).G0', $ ;G0 '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction '(*!dustem_params).grains(1).mdust_o_mh',$ ;amCBE_0.3333x '(*!dustem_params).grains(2).mdust_o_mh', $ ;aSil2001BE6pctG_0.4x 'dustem_plugin_continuum_2'] ;Intensity of NIR continuum iv = [1.0, 7.235580e-4, 1.222725e-3, 5.324418e-3, 0.001] Npar=n_elements(pd) ulimed=replicate(0,Npar) llimed=replicate(1,Npar) llims=replicate(0.,Npar) use_polarization=1 fpd=[] & fiv=[] END 'ELSE':BEGIN message,'model '+model+' unknown',/continue message,'Known models are MC10,DBP90,DL01,WD01_RV5p5B,DL07,J13,G17_MODELA,G17_MODELB,G17_MODELC,G17_MODELD',/continue stop END ENDCASE Nfix=n_elements(fpd) if n_elements(fiv) ne Nfix then begin message,'Number of fixed parameters (fpd) does not equal number of initial values of fixed parameters (fiv)',/info stop end if keyword_set(wait) then begin message,'Finished setting dust model: '+model,/info wait,wait end ;== INITIALISE DUSTEM dustem_init,model=use_model,polarization=use_polarization !dustem_nocatch=1 !dustem_verbose=use_verbose !dustem_show_plot=1 ;=== READ EXAMPLE SED DATA dir=!dustem_wrap_soft_dir+'/Data/EXAMPLE_OBSDATA/' file=dir+'example_SED_1.xcat' IF keyword_set(sed_file) THEN file=sed_file sed=read_xcat(file,/silent) if keyword_set(wait) then begin message,'Finished reading SED data: '+file,/info wait,wait end ;;=== ADJUST THE UNCERTAINTIES (FOR ILLUSTRATION) ind=where(sed.sigmaII LT (0.2*sed.StokesI)^2,count) IF count NE 0 THEN sed[ind].sigmaII=(0.2*sed[ind].StokesI)^2 ;== SET THE OBSERVATIONAL STRUCTURE ;== sed is passed twice -- the first occurrence is the SED that you ;== wish to fit, the second occurrence is the ;== SED that you wish to visualise / plot. These are often, but not ;== always!, the same SED. dustem_set_data,sed,sed ;== SET INITIAL VALUES AND LIMITS OF THE PARAMETERS THAT WILL BE ;== ADJUSTED DURING THE FIT dustem_init_parinfo,pd,iv,up_limited=ulimed,lo_limited=llimed,up_limits=ulims,lo_limits=llims ;== INITIALIZE ANY PLUGINS dustem_init_plugins,pd,fpd ;== INITIALIZE ANY FIXED PARAMETERS FOR PLUGINS if Nfix gt 0 then dustem_init_fixed_params,fpd,fiv if keyword_set(wait) then begin message,'Finished initializing DustEmWrap, including plugins and fixed parameters',/info wait,wait end ;=== INFORMATION TO RUN THE FIT tol=1.e-16 ;fit tolerence use_Nitermax=5 ;maximum number of iterations. IF keyword_set(Nitermax) THEN use_Nitermax=Nitermax ;=== INFORMATION TO MAKE THE PLOT yr=[1.00e-4,1.00E2] ; y-axis limits xr=[1.00E0,6.00e4] ; x-axis limits tit='SED -- Example 1' ; plot title ytit=textoidl('I_\nu (MJy/sr) for N_H=10^{20} H/cm^2') ; y-axis title xtit=textoidl('\lambda (\mum)') ; x-axis title ;=== RUN THE FIT t1=systime(0,/sec) res=dustem_mpfit_data(tol=tol,Nitermax=use_Nitermax,gtol=gtol $ ,/xlog,/ylog,xr=xr,yr=yr,xtit=xtit,ytit=ytit,title=tit $ ,legend_xpos=legend_xpos,legend_ypos=legend_ypos $ ,errors=errors,chi2=chi2,rchi2=rchi2) t2=systime(0,/sec) if keyword_set(wait) then begin message,'Finished running DustEmWrap, using Niters: '+strtrim(string(use_Nitermax),2),/info message,'Time taken [sec]: '+sigfig(t2-t1,2,/sci),/info wait,wait end ;=== MAKE THE FINAL PLOT IF keyword_set(postscript) THEN BEGIN dir_ps='./' set_plot,'PS' ps_file=dir_ps+postscript device,filename=ps_file,/color ENDIF dustemwrap_plot,*(*!dustem_fit).CURRENT_PARAM_VALUES,dummy,xr=xr,/xstyle,yr=yr,/ysty,/ylog,/xlog,title=tit+' (Final fit)' IF keyword_set(postscript) THEN BEGIN set_plot,'X' device,/close message,'Wrote '+ps_file,/info ENDIF if keyword_set(wait) then begin message,'Made the plot of the final results',/info wait,wait end IF keyword_set(fits_save_and_restore) THEN BEGIN message,'Writing out results structure: '+fits_save_and_restore,/info dustem_write_fits_table,filename=fits_save_and_restore,help=help ;=== at this point, you could erase all dustem system variables, or exit idl... all the ; information needed has been saved in the FITS table dustem_read_fits_table,filename=fits_save_and_restore,dustem_spectra_st=dustem_spectra_st ;==== plot result taken from the saved fits table res=*(*!dustem_fit).CURRENT_PARAM_VALUES dustemwrap_plot,res,dustem_spectra_st,xr=xr,/xstyle,yr=yr,/ysty,/ylog,/xlog,title=tit+' (From Saved FITS file)' if keyword_set(wait) then begin message,'Saved the results as FITS in the file: '+fits_save_and_restore+', and made a plot using the data in this file',/info wait,wait end ENDIF message,'Finished dustem_fit_intensity_example',/info the_end: END