Commit b125205a5b9c28a2f3fa6408ca0d1aa471bcf690
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updated examples to conform with webpages
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src/idl/dustem_fit_ext_pol_example.pro
... | ... | @@ -216,7 +216,7 @@ if not keyword_set(ext_file) then begin |
216 | 216 | dustem_set_data, m_fit,m_show,ext,ext |
217 | 217 | |
218 | 218 | IF keyword_set(wait) THEN BEGIN |
219 | - message,'Finished generating a synthetic EXT from the model',/info | |
219 | + message,'Finished generating a synthetic EXT from the model '+use_model,/info | |
220 | 220 | wait,wait |
221 | 221 | ENDIF |
222 | 222 | ... | ... |
src/idl/dustem_fit_intensity_example.pro
... | ... | @@ -138,10 +138,8 @@ dustem_define_la_common |
138 | 138 | |
139 | 139 | ;=== AN EXAMPLE FOR DBP90 |
140 | 140 | ;=== Here we fit the dust abundances of the DBP90 model, the |
141 | -;=== intensity of the dust-heating radiation field, as well as several plug-ins: | |
142 | -;=== (i) continuum due to a blackbody | |
143 | -;=== (ii) free-free emission | |
144 | -;=== (iii) synchrotron emission | |
141 | +;=== intensity of the dust-heating radiation field, as well as a plug-in | |
142 | +;=== for synchrotron emission | |
145 | 143 | ;=== The free parameters are all lower-bounded at zero. |
146 | 144 | ;=== use_model='DBP90' ; you should specify this above! |
147 | 145 | pd = [ $ | ... | ... |
1 | 1 | PRO dustem_myisrf_example,model=model $ |
2 | 2 | ,sed_file=sed_file $ |
3 | + ,isrf_file=isrf_file $ | |
3 | 4 | ,Nitermax=Nitermax $ |
4 | 5 | ,postscript=postscript $ |
5 | 6 | ,fits_save_and_restore=fits_save_and_restore $ |
... | ... | @@ -11,11 +12,11 @@ PRO dustem_myisrf_example,model=model $ |
11 | 12 | ; NAME: |
12 | 13 | ; dustem_fit_myisrf_example |
13 | 14 | ; |
14 | -; PURPOSE: | |
15 | -; This routine is an example of how to fit an observational SED | |
16 | -; (StokesI only) with DustEM and DustEMWrap. The objective is to | |
17 | -; illustrate how to use the modify_isrf plugin and not to do science -- the fit | |
18 | -; obtained by running this example is likely to be poor. | |
15 | +; PURPOSE: This routine is an example of how to fit an observational | |
16 | +; SED (StokesI only) with DustEM and DustEMWrap. The objective is to | |
17 | +; illustrate how to use dustem_plugin_modify_isrf and not to do | |
18 | +; science -- the fit obtained by running this example is likely to be | |
19 | +; poor. | |
19 | 20 | ; |
20 | 21 | ; For this example, the code uses the SED in the file example_SED_2.xcat, |
21 | 22 | ; which is distributed in the Data/EXAMPLE_OBSDATA/ directory |
... | ... | @@ -30,11 +31,12 @@ PRO dustem_myisrf_example,model=model $ |
30 | 31 | ; DustEMWrap, Distributed, High-Level, User Example |
31 | 32 | ; |
32 | 33 | ; CALLING SEQUENCE: |
33 | -; dustem_fit_myisrf_example[,model=][sed_file=][,postscript=][,Nitermax=][,fits_save_and_restore=][,/help,/wait,/verbose] | |
34 | +; dustem_fit_myisrf_example[,model=][,sed_file=][,isrf_file=][,postscript=][,Nitermax=][,fits_save_and_restore=][,/help,/wait,/verbose] | |
34 | 35 | ; |
35 | 36 | ; INPUTS: |
36 | -; None | |
37 | -; | |
37 | +; sed_file = file in .xcat format containing observational SED | |
38 | +; isrf_file = text file describing ISRF | |
39 | +; | |
38 | 40 | ; OPTIONAL INPUT PARAMETERS: |
39 | 41 | ; None |
40 | 42 | ; |
... | ... | @@ -92,7 +94,7 @@ PRO dustem_myisrf_example,model=model $ |
92 | 94 | |
93 | 95 | |
94 | 96 | IF keyword_set(help) THEN BEGIN |
95 | - doc_library,'dustem_stellarpopisrf_example' | |
97 | + doc_library,'dustem_myisrf_example' | |
96 | 98 | goto,the_end |
97 | 99 | END |
98 | 100 | |
... | ... | @@ -104,6 +106,8 @@ ENDELSE |
104 | 106 | |
105 | 107 | |
106 | 108 | use_verbose=0 |
109 | +use_polarization=0 ; initialize Dustemwrap in no polarization mode | |
110 | +use_window=2 ; default graphics window number to use for plotting the results | |
107 | 111 | if keyword_set(verbose) then use_verbose=1 |
108 | 112 | use_Nitermax=5 ; maximum number of iterations for the fit |
109 | 113 | IF keyword_set(Nitermax) THEN use_Nitermax=Nitermax |
... | ... | @@ -114,155 +118,25 @@ dustem_define_la_common |
114 | 118 | ;=== Refer to the DustEM and DustEMWrap userguides for an explanation |
115 | 119 | ; of the different grain types |
116 | 120 | |
117 | -CASE use_model OF | |
118 | - 'DBP90':BEGIN | |
119 | - pd = [ $ | |
120 | - '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction | |
121 | - '(*!dustem_params).grains(1).mdust_o_mh',$ ;VSG mass fraction | |
122 | - '(*!dustem_params).grains(2).mdust_o_mh', $ ;amCBEx | |
123 | - 'dustem_plugin_modify_isrf_1'] ;amplitude of user-defined ISRF (here G0 because mathis is chosen) | |
124 | - rv = [4.3e-4, 4.7e-4,6.4e-3,100.] ;rv because we're generating fake data and try to retrieve the original values | |
125 | - | |
126 | - iv = rv+[5.00E-4,5.00E-4,5.00E-4,-30] ;###setting the initial parameter vector | |
127 | - | |
128 | - Npar=n_elements(pd) | |
129 | - ulimed=replicate(0,Npar) | |
130 | - llimed=replicate(1,Npar) | |
131 | - llims=replicate(0.,Npar) | |
132 | - | |
133 | - | |
134 | -; fpd=[ $ | |
135 | -; 'dustem_plugin_stellar_population_O7V4',$ ;number of stars of stellar population' , $ ;multiplicative factor to total ISRF | |
136 | -; 'dustem_plugin_stellar_population_O5V3'$ ; stellar distance | |
137 | -; ] | |
138 | -; ;initial parameter values for fixed parameters | |
139 | -; fiv=[ $ | |
140 | -; 2. , $ ;number of stars of pop O7 | |
141 | -; 45$ ;dustance of pop O5 | |
142 | -; ] | |
143 | - | |
144 | - END | |
145 | - 'DL01':BEGIN | |
146 | - pd = [ $ | |
147 | - '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction | |
148 | - '(*!dustem_params).grains(1).mdust_o_mh',$ ;PAH1 mass fraction | |
149 | - '(*!dustem_params).grains(2).mdust_o_mh', $ ;Gra | |
150 | - '(*!dustem_params).grains(3).mdust_o_mh', $ ;Gra | |
151 | - '(*!dustem_params).grains(4).mdust_o_mh', $ ;aSil | |
152 | - 'dustem_plugin_modify_isrf_1'] ;Amplitude of user-defined ISRF | |
153 | - | |
154 | - rv = [5.4e-4, 5.4e-4,1.8e-4,2.33e-3,8.27e-3,50] | |
155 | - iv = rv+[5.e-4, 5.e-4,5.e-5,5.e-3,5.e-3,100] | |
156 | - | |
157 | -; fpd=[ $ | |
158 | -; 'dustem_plugin_stellar_population_O5V3'$ ; stellar distance | |
159 | -; ] | |
160 | -; ;initial parameter values for fixed parameters | |
161 | -; fiv=[ $ | |
162 | -; 45$ ;fixed stellar distance | |
163 | -; ] | |
164 | - | |
165 | - | |
166 | - Npar=n_elements(pd) | |
167 | - ulimed=replicate(0,Npar) | |
168 | - llimed=replicate(1,Npar) | |
169 | - llims=replicate(0.,Npar) | |
170 | - END | |
171 | - 'WD01_RV5p5B':BEGIN | |
172 | -;; ***COMMENT AH*** | |
173 | -;; we need to implement this, or remove | |
174 | - message, 'WD01 model not yet implemented in DustEMWrap',/info | |
175 | -;; ***END COMMENT AH*** | |
176 | - END | |
177 | - 'DL07':BEGIN ;takes at least 16 iterations to find minima. | |
178 | - pd = [ $ | |
179 | - '(*!dustem_params).grains(0).mdust_o_mh', $ ;PAH0 mass fraction | |
180 | - '(*!dustem_params).grains(1).mdust_o_mh', $ ;PAH1 mass fraction | |
181 | - '(*!dustem_params).grains(2).mdust_o_mh', $ ;Gra | |
182 | - '(*!dustem_params).grains(3).mdust_o_mh', $ ;Gra | |
183 | - '(*!dustem_params).grains(4).mdust_o_mh', $ ;aSil | |
184 | - 'dustem_plugin_modify_isrf_1', $ ;amplitude of user-defined ISRF | |
185 | - 'dustem_plugin_stellar_population_O5V3' $ ;distance to stellar pop O5 | |
186 | - ] | |
187 | - | |
188 | - rv = [5.4e-4, 5.4e-4,1.8e-4,2.33e-3,8.27e-3,5.,1.];,10,1.,10.,1.] | |
189 | - iv = rv+ [5.e-4, 5.e-4,5.e-4,5.e-3,5.e-3,5.,2] | |
190 | - | |
191 | - Npar=n_elements(pd) | |
192 | - ulimed=replicate(0,Npar) | |
193 | - llimed=replicate(1,Npar) | |
194 | - llims=replicate(0.,Npar) | |
195 | - | |
196 | - fpd=[ $ | |
197 | - 'dustem_plugin_stellar_population_O5V4',$ ; stellar number of pop O5V | |
198 | - '(*!dustem_params).G0' $ | |
199 | - ] | |
200 | - ;initial parameter values for fixed parameters | |
201 | - fiv=[ $ | |
202 | - 30., $ ;fixed stellar population number | |
203 | - 10. $ | |
204 | - ] | |
205 | - | |
206 | - END | |
207 | - 'MC10':BEGIN | |
208 | - | |
209 | - pd = [ $ | |
210 | - 'dustem_plugin_modify_isrf_1', $ ;amplitude of user-defined ISRF | |
211 | - '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction | |
212 | - '(*!dustem_params).grains(1).mdust_o_mh',$ ;PAH1 mass fraction | |
213 | - '(*!dustem_params).grains(2).mdust_o_mh', $ ;amCBEx | |
214 | - '(*!dustem_params).grains(3).mdust_o_mh', $ ;amCBEx | |
215 | - '(*!dustem_params).grains(4).mdust_o_mh' $ ;aSilx | |
216 | - ] | |
217 | - ;initial parameter values for parameters to be fitted | |
218 | - rv = [ $ | |
219 | - 50, $ | |
220 | - 7.8e-4, $ ;mass fraction of PAH0 | |
221 | - 7.8e-4, $ ;mass fraction of PAH1 | |
222 | - 1.65e-4, $ ;mass fraction of amCBEx | |
223 | - 1.45e-3, $ ;mass fraction of amCBEx | |
224 | - 7.8e-3 $ ;mass fraction of aSilx | |
225 | - ] | |
226 | - | |
227 | - iv = rv + [-30,5.E-4,5.E-4,5.E-4,5.E-3,5.E-3] | |
228 | - | |
229 | -; fpd = ['dustem_plugin_stellar_population_O5V3'] ;distance to stellar population O5V | |
230 | -; fiv = [25] | |
231 | - | |
232 | - | |
233 | - Npar=n_elements(pd) | |
234 | - | |
235 | - ulimed=replicate(0,Npar) | |
236 | - llimed=replicate(1,Npar) | |
237 | - llims=replicate(0.,Npar) | |
238 | - | |
239 | - END | |
240 | - 'J13':BEGIN | |
241 | - pd = [ $ | |
242 | - '(*!dustem_params).grains(1).mdust_o_mh',$ ;CM20 mass fraction | |
243 | - '(*!dustem_params).grains(0).mdust_o_mh',$ ;CM20 mass fraction | |
244 | - '(*!dustem_params).grains(2).mdust_o_mh', $ ;aPyM5 | |
245 | - '(*!dustem_params).grains(3).mdust_o_mh', $ ;aPyM5 | |
246 | - 'dustem_plugin_modify_isrf_1'] ;amplitude of user-defined ISRF | |
247 | - | |
248 | - rv = [7.8e-4, 7.8e-4,1.65e-4,1.45e-3,35] | |
249 | - iv = rv+ [5.e-4,5.e-4,5.e-4,5.e-3,35] | |
250 | - | |
251 | - Npar=n_elements(pd) | |
252 | - ulimed=replicate(0,Npar) | |
253 | - llimed=replicate(1,Npar) | |
254 | - llims=replicate(0.,Npar) | |
255 | - | |
256 | -; fpd = ['dustem_plugin_stellar_population_O5V3'] ;distance to stellar population O5V | |
257 | -; fiv = [5] | |
258 | - | |
259 | - END | |
260 | - 'ELSE':BEGIN | |
261 | - message,'model '+model+' unknown',/continue | |
262 | - message,'Known models are MC10,DBP90,DL01,DL07,J13,G17_MODELA,G17_MODELB,G17_MODELC,G17_MODELD',/continue | |
263 | - stop | |
264 | - END | |
265 | -ENDCASE | |
121 | + | |
122 | +;; ;=== AN EXAMPLE FOR DL07 (or DL01 or WD01_RV5P5B) | |
123 | +;; ;=== Here we fit the PAH abundances of the model, and the amplitude | |
124 | +;; ;=== of a user-supplied ISRF. | |
125 | +;; ;=== The other grain parameters are fixed to their default values. | |
126 | +;; ;=== The free parameters are all lower-bounded at zero. | |
127 | +;; use_model='DL07' ; you should specify this above, or in the command line | |
128 | +pd = [ $ | |
129 | + '(*!dustem_params).grains(0).mdust_o_mh',$ ;PAH0 mass fraction | |
130 | + '(*!dustem_params).grains(1).mdust_o_mh',$ ;PAH1 mass fraction | |
131 | + 'dustem_plugin_modify_isrf_1', $ ; Ampitude of user-defined ISRF | |
132 | + 'dustem_plugin_synchrotron_2'] ;Synchrotron amplitude at 10 mm | |
133 | + iv = [5.4e-4, 5.4e-4,0.1, 0.01] | |
134 | + Npar=n_elements(pd) | |
135 | + ulimed=replicate(0,Npar) | |
136 | + llimed=replicate(1,Npar) | |
137 | + llims=replicate(0.,Npar) | |
138 | +; fpd=['(*!dustem_params).G0'] | |
139 | +; fiv=[1.e-10] | |
266 | 140 | |
267 | 141 | |
268 | 142 | if keyword_set(wait) then begin |
... | ... | @@ -271,26 +145,53 @@ if keyword_set(wait) then begin |
271 | 145 | end |
272 | 146 | |
273 | 147 | |
274 | -dustem_init,model=use_model | |
275 | - | |
148 | +dustem_init,model=use_model,polarization=use_polarization | |
276 | 149 | !dustem_nocatch=1 |
277 | -!dustem_verbose=1 | |
278 | -;!dustem_show_plot=1 | |
279 | -!EXCEPT=2 ;so I can locate the plotting error... | |
280 | -;!dustem_dim=1 ; this option is to dim the stellar population ISRF with the current Dustem extinction | |
281 | -;We're fitting total optical depths so the dimmed-ISRF scenario is a reasonable assumption. | |
282 | -;Because of this the final parameter values are slightly lower than the initial (real) values. | |
283 | -;But this is because the first run was not extinct with the current dustem extinction | |
284 | -;since it comes prior to the dustem run. Meaning the first ISRF has to be extinct to see if the paramters are retrieved. | |
285 | - | |
286 | -!dustem_isrf_file=ptr_new(!dustem_soft_dir+'data/ISRF_MATHIS.DAT') | |
287 | - | |
288 | -;=== READ EXAMPLE DATA: EXTINCTION | |
289 | - | |
290 | -;NB:HERE WE ARE NOT FITTING THE DATA. WE'RE JUST USING THE EXISTING FILTERS. | |
291 | - | |
150 | +!dustem_verbose=use_verbose | |
151 | + | |
152 | +;== Fill a structure with default inputs to the model. This | |
153 | +;== includes the default ISRF, which we want here just for plotting a | |
154 | +;comparison to the ISRF that we construct. | |
155 | +dir_in=!dustem_soft_dir | |
156 | +st_model=dustem_read_all(dir_in) | |
157 | + | |
158 | +;=== CREATE A DIFFERENT ISRF AND DUMP TO FILE | |
159 | +if not keyword_set(isrf_file) then begin | |
160 | + mywaves=[] | |
161 | + my_isrf_file='./myisrf_3bb_8000K.dat' | |
162 | + myisrf=dustem_create_rfield([8000,8000,8000],wdil=[1.d-11,1.d-11,1.d-11],isrf=0,fname=my_isrf_file,x=mywaves) | |
163 | +;myisrf=dustem_create_rfield([3500,4000,5500,6500,8000],wdil=[1.d-13,1.d-13,1.d-13,1.d-13,1.d-13],isrf=1,fname='./myisrf_mathis_5bb.dat',x=mywaves) | |
164 | +;myisrf=dustem_create_rfield([3500,4000,5500,6500,8000],wdil=[1.d-13,1.d-13,1.d-13,1.d-13,1.d-13],isrf=2,fname='./myisrf_habing_5bb.dat',x=mywaves) | |
165 | +;myisrf=dustem_create_rfield([3500,4000,5500,6500,8000],wdil=[1.d-13,1.d-13,1.d-13,1.d-13,1.d-13],isrf=0,fname='./myisrf_5bb.dat',x=mywaves) | |
166 | + isrf_file=my_isrf_file | |
167 | +endif | |
168 | + | |
169 | + | |
170 | +;=== PLOT AS A SANITY CHECK | |
171 | +xtit=textoidl('\lambda (\mum)') | |
172 | +ytit=textoidl('log ISRF [4 \pi I_\nu (erg/cm^2/s/Hz)]') | |
173 | +tit='DUSTEM MYISRF EXAMPLE' | |
174 | +yr=[min(st_model.isrf.isrf) < min(myisrf),5.*(max(st_model.isrf.isrf)>max(myisrf))] | |
175 | +xr=[0.001,1e6] | |
176 | +window,use_window,xs=600,ys=400,tit=tit & use_window=use_window+2 | |
177 | +cgplot,st_model.isrf.lambisrf,st_model.isrf.isrf $ | |
178 | + ,yr=yr,/ysty,xr=xr,/xsty,/xlog,/ylog $ | |
179 | + ,title=tit,xtit=xtit,ytit=ytit,color=cgcolor('black'),/nodata | |
180 | +oplot,st_model.isrf.lambisrf,st_model.isrf.isrf,col=cgcolor('black'),thick=2 | |
181 | +oplot,mywaves,myisrf,col=cgcolor('red'),thick=2 | |
182 | +al_legend,/top,/right,clear=0,box=0 $ | |
183 | + ,['default ISRF','my ISRF'] $ | |
184 | + ,linsize=0.5,lines=0 $ | |
185 | + ,color=[cgcolor('black'),cgcolor('red')] $ | |
186 | + ,thick=2,charsize=1.3 | |
187 | + | |
188 | +;=== READ THE ISRF | |
189 | +if keyword_set(isrf_file) then !dustem_isrf_file=ptr_new(isrf_file) | |
190 | + | |
191 | + | |
192 | +;=== READ EXAMPLE SED DATA: | |
292 | 193 | dir=!dustem_wrap_soft_dir+'/Data/EXAMPLE_OBSDATA/' |
293 | -file=dir+'example_SED_2.xcat' | |
194 | +file=dir+'example_SED_1.xcat' | |
294 | 195 | IF keyword_set(sed_file) THEN file=sed_file |
295 | 196 | sed=read_xcat(file,/silent) |
296 | 197 | |
... | ... | @@ -300,36 +201,15 @@ if keyword_set(wait) then begin |
300 | 201 | end |
301 | 202 | |
302 | 203 | |
303 | -;=== GENERATE EXAMPLE DATA: EXTINCTION | |
304 | - | |
305 | -;=== initializing IQU and associated errors to avoid problems when checking SED in dustem_set_data.pro | |
306 | -;sed.StokesI=1. | |
307 | -;setting the errors (well equating all the tags to the sigmaii array but this is an initialization) | |
308 | -for i=4l,n_tags(sed)-1 do begin | |
309 | - sed.(i) = sed.sigmaii | |
310 | -endfor | |
311 | - | |
312 | -;###first call to dustem_set_data so that the !dustem_data tags that are used in the 'compute_' procedures are set | |
313 | - | |
204 | +;== SET THE OBSERVATIONAL STRUCTURE | |
205 | +;== sed is passed twice -- the first occurrence is the SED that you | |
206 | +;== wish to fit, the second occurrence is the SED that you wish to visualise. | |
314 | 207 | dustem_set_data,sed,sed |
315 | 208 | |
316 | 209 | ; ;== SET INITIAL VALUES AND LIMITS OF THE PARAMETERS THAT WILL BE |
317 | 210 | ; ;== ADJUSTED DURING THE FIT |
318 | -; dustem_init_parinfo,pd,iv,up_limited=ulimed,lo_limited=llimed,up_limits=ulims,lo_limits=llims | |
319 | -; | |
320 | -; ;== INITIALIZE ANY PLUGINS | |
321 | -; dustem_init_plugins, pd,fpd=fpd | |
322 | -; | |
323 | -; dustem_init_fixed_params,fpd,fiv | |
324 | - | |
325 | 211 | dustem_init_params,use_model,pd,iv,fpd=fpd,fiv=fiv,ulimed=ulimed,llimed=llimed,ulims=ulims,llims=llims |
326 | 212 | |
327 | -;Generating the fake emission data | |
328 | -sed.StokesI = dustem_compute_sed(rv,st=st) | |
329 | - | |
330 | -;== SET THE OBSERVATIONAL STRUCTURE | |
331 | -dustem_set_data, sed,sed | |
332 | - | |
333 | 213 | |
334 | 214 | if keyword_set(wait) then begin |
335 | 215 | message,'Finished initializing DustEMWrap, including plugins and fixed parameters',/info |
... | ... | @@ -337,23 +217,19 @@ if keyword_set(wait) then begin |
337 | 217 | end |
338 | 218 | |
339 | 219 | ;== RUN THE FIT |
340 | -tol=1.e-18 | |
220 | +tol=1.e-16 | |
341 | 221 | use_Nitermax=5 ;maximum number of iterations. |
342 | 222 | IF keyword_set(Nitermax) THEN use_Nitermax=Nitermax |
343 | 223 | |
344 | -xr_m = [1.,5e5] | |
345 | -yr_m = [5e-8,1.00e6] | |
346 | - | |
347 | - | |
348 | -tit='Spectral Energy Distribution' | |
224 | +xr = [1.,5e5] | |
225 | +yr = [5e-8,1.00e6] | |
226 | +tit='MYISRF EXAMPLE' | |
349 | 227 | ytit=textoidl('I_\nu (MJy/sr) for N_H=10^{20} H/cm^2') |
350 | 228 | xtit=textoidl('\lambda (\mum)') |
351 | -;Set show_plot to 0 to hide plot | |
352 | -;Commented or set to 1 is the same since !dustem_show_plot (existing sysvar) is initialized to 1 in dustem_init | |
353 | -;show_plot = 0 | |
229 | + | |
354 | 230 | t1=systime(0,/sec) |
355 | 231 | res=dustem_mpfit_data(tol=tol,Nitermax=use_Nitermax,gtol=gtol $ |
356 | - ,/xlog,/ylog,xr_m=xr_m,yr_m=yr_m,xtit=xtit,ytit=ytit,title=tit $ | |
232 | + ,/xlog,/ylog,xr=xr,yr=yr,xtit=xtit,ytit=ytit,title=tit $ | |
357 | 233 | ,legend_xpos=legend_xpos,legend_ypos=legend_ypos $ |
358 | 234 | ,errors=errors,chi2=chi2,rchi2=rchi2,show_plot=show_plot) |
359 | 235 | t2=systime(0,/sec) |
... | ... | @@ -411,7 +287,7 @@ IF keyword_set(fits_save_and_restore) THEN BEGIN |
411 | 287 | ENDIF |
412 | 288 | ENDIF |
413 | 289 | |
414 | -message,'Finished dustem_fit_intensity_example',/info | |
290 | +message,'Finished dustem_myisrf_example',/info | |
415 | 291 | |
416 | 292 | |
417 | 293 | the_end: | ... | ... |
src/idl/dustem_run_example.pro
... | ... | @@ -25,6 +25,7 @@ PRO dustem_run_example, model $ |
25 | 25 | ; polarisation. See Tables 2 and 3 of that paper for details. |
26 | 26 | ; 'G17_ModelB' model B from Guillet et al (2018) |
27 | 27 | ; 'G17_ModelC' model C from Guillet et al (2018) |
28 | +; 'G17_ModelD' model D from Guillet et al (2018) | |
28 | 29 | ; OPTIONAL INPUT PARAMETERS: |
29 | 30 | ; show = vector specifying the type of plot(s) to show. Possible |
30 | 31 | ; values (for all dust models) are |
... | ... | @@ -97,6 +98,7 @@ dir_in=!dustem_soft_dir |
97 | 98 | ;== Fill the following structure contains with default inputs to the model |
98 | 99 | st_model=dustem_read_all(dir_in) |
99 | 100 | |
101 | + | |
100 | 102 | ;=== You could modify the model inputs here by directly editing the values in the |
101 | 103 | ;=== st_model structure. To inspect contents, type IDL> help,st_model,/str |
102 | 104 | ;=== e.g. | ... | ... |