dustemcgwin_dataset.pro
24.8 KB
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PRO dustemcgwin_dataset, st, prediction, dataset=dataset, norm=norm, refresh=refresh, nodata=nodata, position=position, _extra=_extra
;######DRAFT HELP SECTION######
;dataset = string. IE: 'SED','POLSED','QSED' etc...
;prediction = array. IE: 'dustem_sed', 'dustem_polsed' ... (discrete dustemwrap model predictions)
;norm = boolean. To indicate that it is the normalized plot.
;refresh = boolen. To indicate that the commands are the be replaced.
;#1-loop on the data set and find its index in !dustem_data/!dustem_show
;#prediction will be used whith refresh.
;#you need to know that the data set has been plotted once in order to replace the commands. That is why you need the command index
;first run requires to be known.
;To do so I will use this system variable '!dustemcgwin_ncmds' that I will only set after the first run
;.sed.pl and .sed.nrm will tell about the number of commands for each kind of plot.
;this will also interact with the refresh keyword.
;except for when nodata is used, the 'prediction' array should always be present for errors not to occur.
;YOU NEED THE INFORMATION INSIDE THE _EXTRA STRUCTURE
;NB: this procedures uses both !dustem_data/!dustem_show to locate hidden filter/spectrum data points
;positions for xyouts on the plots - not using any widgets for now
;using same margins for (placement of xyouts plot titles (ie: I_nu, Q_nu, U_nu etc...)) normalized plots and normal ones.
;######LIST OF THINGS NEEDED#################################################################
;############################################################################################
pospltxt = [position(0)+0.02,position(3)-0.05] ;hard-coded but we can find a way
wavs=dustem_get_wavelengths()
n_plgns = n_tags(*!dustem_plugin)
Ngrains=(*!dustem_params).Ngrains
use_cols=dustem_grains_colors(Ngrains,/cgplot)
use_cols[1]='Cornflower'
fact = 1.e4*(*!dustem_HCD)/(4.*!pi)/(3.e8/1.e-6/st.sed.wav)*1.e20/1.e7 ; st.sed.wav and st.polsed.wav should remain the same
spec = st.sed.em_tot * fact
if !run_pol then specpol = st.polsed.em_tot * fact
clrs_plgns = ['Rosy Brown','Gold','Light Coral','Slate Blue','Dark Khaki','Salmon','Dark Green'] ;FOR NOW
scopes=tag_names((*!dustem_scope))
IF scopes[0] NE 'NONE' THEN BEGIN
FOR i=0L,n_tags(*!dustem_scope)-1 DO BEGIN
IF total(strsplit((*(*!dustem_scope).(i)),'+',/extract) EQ 'ADD_SED') THEN spec+=(*(*!dustem_plugin).(i))[*,0]
IF total(strsplit((*(*!dustem_scope).(i)),'+',/extract) EQ 'REPLACE_QSED') THEN specpol=sqrt(((*(*!dustem_plugin).(i))[*,1])^2+((*(*!dustem_plugin).(i))[*,2])^2)
ENDFOR
FOR i=0L,n_tags(*!dustem_scope)-1 DO BEGIN
if !run_pol then begin
IF total(strsplit((*(*!dustem_scope).(i)),'+',/extract) EQ 'ADD_QSED') THEN specpol+=sqrt(((*(*!dustem_plugin).(i))[*,1])^2+((*(*!dustem_plugin).(i))[*,2])^2)
endif
ENDFOR
ENDIF
tgnms_extra = tag_names(_extra)
ind_xr = where(strmid(tgnms_extra,0,2) eq 'XR')
ind_yr = where(strmid(tgnms_extra,0,2) eq 'YR')
if ind_xr EQ -1 then xr=[1.00E+00,1.00E+05] else xr=(_extra.(ind_xr))
if ind_yr EQ -1 then yr=[5.00E-03,1.00E+08] else yr=(_extra.(ind_yr))
;############################################################################################
;############################################################################################
;NB: because of small issue you forgot in the main code. Add xtit=xtit when convenient
if keyword_set(dataset) then begin
;!run_pol is implied for QSED/USED/POLSED etc...
Case strupcase(dataset) of
'SED': begin
idx_filt=where((*!dustem_data.sed).filt_names NE 'SPECTRUM',ct_filt)
idx_spec=where((*!dustem_data.sed).filt_names EQ 'SPECTRUM',ct_spec)
;#1) get the plotting keywords (pertaining to each data set) @here when the _extra structure is ready
if keyword_set(nodata) then begin ;when the data is not present
if keyword_set(norm) then begin ;normalized plot
xtit=textoidl('\lambda (\mum)')
if !run_pol then xtit = ''
cgplot,wavs,wavs/wavs,/xlog,/ys,xs=1,pos=position,noerase=1,xtickformat='(A1)',color='Black',xr=xr,xtit=xtit,yr=[0.0,2.0],yticks=2,ymino=2,xticklen=0.1,ytickformat='(F6.2)',charsize=1.0
xyouts,pospltxt[0],pospltxt[1],textoidl('norm'),color=0,/normal,charsize=1.1
endif else begin ;normal plot
cgplot,wavs,wavs,/nodata,/ylog,/xlog,/ys,xs=9,pos=position,noerase=1,charsize=1.15,xtickformat='(A1)',color='Powder Blue',xr=xr,xtit='',yr=yr,psym=8,syms=0.8
cgaxis, xaxis=1 ,xlog=1 ,xrange=((!const.c*1E6/xr)*1E-9),charsize=1.15,title=textoidl('\nu (GHz)'),xticklen=0.05,xminor=10
xyouts,pospltxt[0],pospltxt[1],textoidl('I_{\nu} (MJy/sr)'),color=0,/normal,charsize=1.1
endelse
endif else begin ;when the data is present
if keyword_set(norm) then begin
if keyword_set(refresh) then begin ;The data points in the plot that are being refreshed
IF ct_filt NE 0 THEN BEGIN
xx=((*!dustem_data.sed).wav)[idx_filt]
yy=prediction[idx_filt]
rms=3.*((*!dustem_data.sed).sigma)(idx_filt)/2.
cgoplot,xx,((*!dustem_data.sed).values)[idx_filt]/yy,psym=16,color='Dodger Blue',syms=0.8,noerase=1,pos=position
cgerrplot,((*!dustem_data.sed).wav)(idx_filt),(((*!dustem_data.sed).values)[idx_filt]-rms)/yy,(((*!dustem_data.sed).values)[idx_filt]+rms)/yy,color='Dodger Blue'
ENDIF
IF ct_spec NE 0 THEN BEGIN
xx=((*!dustem_data.sed).wav)[idx_spec]
yy=prediction[idx_spec]
rms=3.*((*!dustem_data.sed).sigma)(idx_spec)/2.
cgoplot,xx,((*!dustem_data.sed).values)[idx_spec]/yy,color='Powder Blue',psym=16,syms=0.8,noerase=1,pos=position
cgerrplot,((*!dustem_data.sed).wav)(idx_spec),(((*!dustem_data.sed).values)[idx_spec]-rms)/yy,(((*!dustem_data.sed).values)[idx_spec]+rms)/yy,color='Powder Blue'
ENDIF
endif else begin ;The data points in the plot that remain unchanged
xtit=textoidl('\lambda (\mum)')
if !run_pol then xtit = ''
cgplot,wavs,wavs/wavs,/xlog,/ys,xs=1,pos=position,noerase=1,xtickformat='(A1)',color='Black',xr=xr,xtit=xtit,yr=[0.0,2.0],yticks=2,ymino=2,xticklen=0.1,ytickformat='(F6.2)',charsize=1.0
xyouts,pospltxt[0],pospltxt[1],textoidl('norm'),color=0,/normal,charsize=1.1
endelse
endif else begin ; normal plot
if keyword_set(refresh) then begin ;The data points in the plot are being refreshed
;Plotting of the spectra of the dust species
FOR i=0L,Ngrains-1 DO BEGIN
cgoplot,st.sed.wav,st.sed.(i+1)*fact,color=use_cols[i],pos=position,noerase=1
ENDFOR
;Plotting of the plugins.
for i=0L,n_plgns-1 do begin
cgoplot,st.sed.wav,(*(*!dustem_plugin).(i)),clrs_plgns=[i],pos=position,noerase=1,linestyle=2
endfor
;PLotting of the interpolates corresponding to spectrum and filter points
IF ct_filt NE 0 THEN BEGIN
xx=((*!dustem_data.sed).wav)[idx_filt]
yy=prediction[idx_filt]
cgoplot,xx,yy,color='red',pos=position,psym=6,syms=2,noerase=1
ENDIF
IF ct_spec NE 0 THEN BEGIN
xx=((*!dustem_data.sed).wav)[idx_spec]
yy=prediction[idx_spec]
cgoplot,xx,yy,color='red',pos=position,psym=7,syms=2,noerase=1
ENDIF
;Plotting of the total dust emission spectrum
cgoplot,st.sed.wav,spec,pos=position,noerase=1,/xlog,/ys,/xs,/ylog
endif else begin ;The data points in the plot that remain unchanged.
;Spectrum points are treated before for plotting reasons.
if ct_spec ne 0 then begin
;Plotting of spectrum data points (to be fitted)
cgplot,((*!dustem_data.sed).wav)(idx_spec),((*!dustem_data.sed).values)(idx_spec),/ylog,/xlog,/ys,xs=9,pos=position,noerase=1,xtit='',charsize=1.15,xtickformat='(A1)',color='Powder Blue',xr=xr,yr=yr,psym=8,syms=0.8,ytickformat='dstmwrp_exp'
;Plotting of the spectrum error points
rms=3.*((*!dustem_data.sed).sigma)(idx_spec)/2.
cgerrplot,((*!dustem_data.sed).wav)(idx_spec),((*!dustem_data.sed).values)(idx_spec)-rms,((*!dustem_data.sed).values)(idx_spec)+rms,color='Powder Blue'
endif
if ct_filt ne 0 then begin
;Plotting of filter data points (to be fitted) + testing for prior plotting
if ct_spec ne 0 then cgoplot,((*!dustem_data.sed).wav)(idx_filt),((*!dustem_data.sed).values)(idx_filt),charsize=1.15,color='Dodger Blue',psym=8,syms=0.8,pos=position,/ys,xs=9,noerase=1,xtickformat='(A1)',xr=xr,yr=yr,ytickformat='dstmwrp_exp',/ylog,/xlog else $
cgplot,((*!dustem_data.sed).wav)(idx_filt),((*!dustem_data.sed).values)(idx_filt),charsize=1.15,color='Dodger Blue',psym=8,syms=0.8,pos=position,/ys,xs=9,noerase=1,xtickformat='(A1)',xtit='',xr=xr,yr=yr,ytickformat='dstmwrp_exp',/ylog,/xlog
;Plotting of the filter error points
rms=3.*((*!dustem_data.sed).sigma)(idx_filt)/2.;/dustem_sed(idx_filt)
cgerrplot,((*!dustem_data.sed).wav)(idx_filt),((*!dustem_data.sed).values)(idx_filt)-rms,((*!dustem_data.sed).values)(idx_filt)+rms,color='Dodger Blue'
endif
;Plotting of frequency axis
cgaxis, xaxis=1, xlog=1, xs=1, xminor=10, xticklen=0.05, xrange=((!const.c*1E6/(_extra.(ind_xr)))*1E-9),charsize=1.15,title=textoidl('\nu (GHz)')
xyouts,pospltxt[0],pospltxt[1],textoidl('I_{\nu} (MJy/sr)'),color=0,/normal,charsize=1.1
;stop
;Locating all the hidden data points (spectrum+filter)
match2,((*!dustem_data.sed).wav),((*!dustem_show.sed).wav),fit_sedpts,show_sedpts ;only show_sedpts is needed
idx_rmv_sed=where(show_sedpts eq -1, ct_hdnpts) ; indices of the points to hide
if ct_hdnpts ne 0 then begin ;Hidden data points are present
;Locating the hidden spectrum and filter data points
idx_filt_hdn = where(((*!dustem_show.sed).filt_names)(idx_rmv_sed) NE 'SPECTRUM',ct_filt_hdn)
idx_spec_hdn = where(((*!dustem_show.sed).filt_names)(idx_rmv_sed) EQ 'SPECTRUM',ct_spec_hdn)
;Plotting of hidden spectrum data points
cgoplot,((*!dustem_show.sed).wav)(idx_spec_hdn),((*!dustem_show.sed).values)(idx_spec_hdn),pos=position,/ylog,/xlog,/ys,xs=9,noerase=1,charsize=1.15,xtickformat='(A1)',color='Black',xr=xr,yr=yr,psym=8,syms=0.8
;Plotting of hidden spectrum error points
rms=3.*((*!dustem_show.sed).sigma)(idx_spec_hdn)/2.
cgerrplot,((*!dustem_show.sed).wav)(idx_spec_hdn),((*!dustem_show.sed).values)(idx_spec_hdn)-rms,((*!dustem_show.sed).values)(idx_spec_hdn)+rms,color='Black'
;Plotting of hidden filter data points
cgoplot,((*!dustem_show.sed).wav)(idx_filt_hdn),((*!dustem_show.sed).values)(idx_filt_hdn),pos=p_sed,/ylog,/xlog,/ys,xs=9,noerase=1,charsize=1.15,xtickformat='(A1)',color='Black',xr=xr,yr=yr,psym=8,syms=0.8
;Plotting of hidden filter error point
rms=3.*((*!dustem_show.sed).sigma)(idx_filt_hdn)/2.
cgerrplot,((*!dustem_show.sed).wav)(idx_filt_hdn),((*!dustem_show.sed).values)(idx_filt_hdn)-rms,((*!dustem_show.sed).values)(idx_filt_hdn)+rms,color='Black'
endif
endelse
endelse
endelse ;
end
'EXT': begin
end
'POLEXT': begin
end
'POLSED': begin
end
'POLFRAC': begin
end
'PSI_EM': begin
end
'PSI_EXT': begin
end
'QSED': begin ; THE ONE I WILL BE WORKING ON
idx_filt=where((*!dustem_data.qsed).filt_names NE 'SPECTRUM',ct_filt)
idx_spec=where((*!dustem_data.qsed).filt_names EQ 'SPECTRUM',ct_spec)
;#1) get the plotting keywords (pertaining to each data set) @here when the _extra structure is ready
if keyword_set(nodata) then begin ;when the data is not present
if keyword_set(norm) then begin ;normalized plot
xtit=textoidl('\lambda (\mum)')
if !run_pol then xtit = ''
cgplot,wavs,wavs/wavs,/xlog,/ys,xs=1,pos=position,noerase=1,xtickformat='(A1)',color='Black',xr=xr,xtit=xtit,yr=[0.0,2.0],yticks=2,ymino=2,xticklen=0.1,ytickformat='(F6.2)',charsize=1.0
xyouts,pospltxt[0],pospltxt[1],textoidl('norm'),color=0,/normal,charsize=1.1
endif else begin ;normal plot
cgplot,wavs,wavs,/nodata,/ylog,/xlog,/ys,xs=9,pos=position,noerase=1,charsize=1.15,xtickformat='(A1)',color='Powder Blue',xr=xr,xtit='',yr=yr,psym=8,syms=0.8
cgaxis, xaxis=1 ,xlog=1 ,xrange=((!const.c*1E6/xr)*1E-9),charsize=1.15,title=textoidl('\nu (GHz)'),xticklen=0.05,xminor=10
xyouts,pospltxt[0],pospltxt[1],textoidl('Q_{\nu} (MJy/sr)'),color=0,/normal,charsize=1.1
endelse
endif else begin ;when the data is present
if keyword_set(norm) then begin
if keyword_set(refresh) then begin ;The data points in the plot that are being refreshed
IF ct_filt NE 0 THEN BEGIN
xx=((*!dustem_data.qsed).wav)[idx_filt]
yy=prediction[idx_filt]
rms=3.*((*!dustem_data.qsed).sigma)(idx_filt)/2.
cgoplot,xx,((*!dustem_data.qsed).values)[idx_filt]/yy,psym=16,color='Dodger Blue',syms=0.8,noerase=1,pos=position
cgerrplot,((*!dustem_data.qsed).wav)(idx_filt),(((*!dustem_data.qsed).values)[idx_filt]-rms)/yy,(((*!dustem_data.qsed).values)[idx_filt]+rms)/yy,color='Dodger Blue'
ENDIF
IF ct_spec NE 0 THEN BEGIN
xx=((*!dustem_data.qsed).wav)[idx_spec]
yy=prediction[idx_spec]
rms=3.*((*!dustem_data.qsed).sigma)(idx_spec)/2.
cgoplot,xx,((*!dustem_data.qsed).values)[idx_spec]/yy,color='Powder Blue',psym=16,syms=0.8,noerase=1,pos=position
cgerrplot,((*!dustem_data.qsed).wav)(idx_spec),(((*!dustem_data.qsed).values)[idx_spec]-rms)/yy,(((*!dustem_data.qsed).values)[idx_spec]+rms)/yy,color='Powder Blue'
ENDIF
endif else begin ;The data points in the plot that remain unchanged
xtit=textoidl('\lambda (\mum)')
if !run_pol then xtit = ''
cgplot,wavs,wavs/wavs,/xlog,/ys,xs=1,pos=position,noerase=1,xtickformat='(A1)',color='Black',xr=xr,xtit=xtit,yr=[0.0,2.0],yticks=2,ymino=2,xticklen=0.1,ytickformat='(F6.2)',charsize=1.0
xyouts,pospltxt[0],pospltxt[1],textoidl('norm'),color=0,/normal,charsize=1.1
endelse
endif else begin ; normal plot - STOPPED HERE FOR QSED
if keyword_set(refresh) then begin ;The data points in the plot are being refreshed
;Plotting of the spectra of the dust species
FOR i=0L,Ngrains-1 DO BEGIN
cgoplot,st.sed.wav,st.sed.(i+1)*fact,color=use_cols[i],pos=position,noerase=1
ENDFOR
;Plotting of the plugins.
for i=0L,n_plgns-1 do begin
cgoplot,st.sed.wav,(*(*!dustem_plugin).(i)),clrs_plgns=[i],pos=position,noerase=1,linestyle=2
endfor
;PLotting of the interpolates corresponding to spectrum and filter points
IF ct_filt NE 0 THEN BEGIN
xx=((*!dustem_data.sed).wav)[idx_filt]
yy=prediction[idx_filt]
cgoplot,xx,yy,color='red',pos=position,psym=6,syms=2,noerase=1
ENDIF
IF ct_spec NE 0 THEN BEGIN
xx=((*!dustem_data.sed).wav)[idx_spec]
yy=prediction[idx_spec]
cgoplot,xx,yy,color='red',pos=position,psym=7,syms=2,noerase=1
ENDIF
;Plotting of the total dust emission spectrum
cgoplot,st.sed.wav,spec,pos=position,noerase=1,/xlog,/ys,/xs,/ylog
endif else begin ;The data points in the plot that remain unchanged.
;Spectrum points are treated before for plotting reasons.
if ct_spec ne 0 then begin
;Plotting of spectrum data points (to be fitted)
cgplot,((*!dustem_data.sed).wav)(idx_spec),((*!dustem_data.sed).values)(idx_spec),/ylog,/xlog,/ys,xs=9,pos=position,noerase=1,xtit='',charsize=1.15,xtickformat='(A1)',color='Powder Blue',xr=xr,yr=yr,psym=8,syms=0.8,ytickformat='dstmwrp_exp'
;Plotting of the spectrum error points
rms=3.*((*!dustem_data.sed).sigma)(idx_spec)/2.
cgerrplot,((*!dustem_data.sed).wav)(idx_spec),((*!dustem_data.sed).values)(idx_spec)-rms,((*!dustem_data.sed).values)(idx_spec)+rms,color='Powder Blue'
endif
if ct_filt ne 0 then begin
;Plotting of filter data points (to be fitted) + testing for prior plotting
if ct_spec ne 0 then cgoplot,((*!dustem_data.sed).wav)(idx_filt),((*!dustem_data.sed).values)(idx_filt),charsize=1.15,color='Dodger Blue',psym=8,syms=0.8,pos=position,/ys,xs=9,noerase=1,xtickformat='(A1)',xr=xr,yr=yr,ytickformat='dstmwrp_exp',/ylog,/xlog else $
cgplot,((*!dustem_data.sed).wav)(idx_filt),((*!dustem_data.sed).values)(idx_filt),charsize=1.15,color='Dodger Blue',psym=8,syms=0.8,pos=position,/ys,xs=9,noerase=1,xtickformat='(A1)',xtit='',xr=xr,yr=yr,ytickformat='dstmwrp_exp',/ylog,/xlog
;Plotting of the filter error points
rms=3.*((*!dustem_data.sed).sigma)(idx_filt)/2.;/dustem_sed(idx_filt)
cgerrplot,((*!dustem_data.sed).wav)(idx_filt),((*!dustem_data.sed).values)(idx_filt)-rms,((*!dustem_data.sed).values)(idx_filt)+rms,color='Dodger Blue'
endif
;Plotting of frequency axis
cgaxis, xaxis=1, xlog=1, xs=1, xminor=10, xticklen=0.05, xrange=((!const.c*1E6/(_extra.(ind_xr)))*1E-9),charsize=1.15,title=textoidl('\nu (GHz)')
xyouts,pospltxt[0],pospltxt[1],textoidl('I_{\nu} (MJy/sr)'),color=0,/normal,charsize=1.1
;stop
;Locating all the hidden data points (spectrum+filter)
match2,((*!dustem_data.sed).wav),((*!dustem_show.sed).wav),fit_sedpts,show_sedpts ;only show_sedpts is needed
idx_rmv_sed=where(show_sedpts eq -1, ct_hdnpts) ; indices of the points to hide
if ct_hdnpts ne 0 then begin ;Hidden data points are present
;Locating the hidden spectrum and filter data points
idx_filt_hdn = where(((*!dustem_show.sed).filt_names)(idx_rmv_sed) NE 'SPECTRUM',ct_filt_hdn)
idx_spec_hdn = where(((*!dustem_show.sed).filt_names)(idx_rmv_sed) EQ 'SPECTRUM',ct_spec_hdn)
;Plotting of hidden spectrum data points
cgoplot,((*!dustem_show.sed).wav)(idx_spec_hdn),((*!dustem_show.sed).values)(idx_spec_hdn),pos=position,/ylog,/xlog,/ys,xs=9,noerase=1,charsize=1.15,xtickformat='(A1)',color='Black',xr=xr,yr=yr,psym=8,syms=0.8
;Plotting of hidden spectrum error points
rms=3.*((*!dustem_show.sed).sigma)(idx_spec_hdn)/2.
cgerrplot,((*!dustem_show.sed).wav)(idx_spec_hdn),((*!dustem_show.sed).values)(idx_spec_hdn)-rms,((*!dustem_show.sed).values)(idx_spec_hdn)+rms,color='Black'
;Plotting of hidden filter data points
cgoplot,((*!dustem_show.sed).wav)(idx_filt_hdn),((*!dustem_show.sed).values)(idx_filt_hdn),pos=p_sed,/ylog,/xlog,/ys,xs=9,noerase=1,charsize=1.15,xtickformat='(A1)',color='Black',xr=xr,yr=yr,psym=8,syms=0.8
;Plotting of hidden filter error point
rms=3.*((*!dustem_show.sed).sigma)(idx_filt_hdn)/2.
cgerrplot,((*!dustem_show.sed).wav)(idx_filt_hdn),((*!dustem_show.sed).values)(idx_filt_hdn)-rms,((*!dustem_show.sed).values)(idx_filt_hdn)+rms,color='Black'
endif
endelse
endelse
endelse ;
end
'USED': begin
end
'QEXT': begin
end
'UEXT': begin
end
endcase
endif
END