Karim Sabri / ctools

Commit 9159e38d97c9e406b0b1d7347d24c53a9bc585c7

Authored by Jürgen Knödlseder
1 parent e7748d3e

Update COMPTEL tutorials

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doc/source/users/tutorials/howto/comptel/howto_comptel_butterfly.png
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doc/source/users/tutorials/howto/comptel/howto_comptel_dri.rst
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... ... @@ -161,8 +161,9 @@ that should look as follows:
161 161 not ``file`` since the ``IAQ`` parameter is not necessarily a file
162 162 but can be also a response name of the calibration database.
163 163  
164   -Before doing a model fit you need a model. Create the following
165   -:ref:`model definition file <glossary_moddef>`:
  164 +Before doing a model fit you need a model. We included one in the ctools package
  165 +that you can find at ``$CTOOLS/share/models/comptel_howto_gc.xml``. Here the
  166 +first few lines of this model:
166 167  
167 168 .. code-block:: xml
168 169  
... ... @@ -182,10 +183,6 @@ Before doing a model fit you need a model. Create the following
182 183 <parameter name="Phibar" value="9" scale="1" min="0" max="50" free="0" />
183 184 <parameter name="Normalization" value="1.0" scale="1" min="0" max="1000" free="1" />
184 185 </node>
185   - <node>
186   - <parameter name="Phibar" value="11" scale="1" min="0" max="50" free="0" />
187   - <parameter name="Normalization" value="1.0" scale="1" min="0" max="1000" free="1" />
188   - </node>
189 186 ...
190 187 <node>
191 188 <parameter name="Phibar" value="49" scale="1" min="0" max="50" free="0" />
... ... @@ -212,15 +209,15 @@ map of the region around the Galactic centre as follows:
212 209 $ cttsmap
213 210 Input event list, counts cube or observation definition XML file [events.fits] obs_dri.xml
214 211 Test source name [Crab] GC
215   - Input model definition XML file [$CTOOLS/share/models/crab.xml] models.xml
  212 + Input model definition XML file [$CTOOLS/share/models/crab.xml] $CTOOLS/share/models/comptel_howto_gc.xml
  213 + Coordinate system (CEL - celestial, GAL - galactic) (CEL|GAL) [CEL] GAL
  214 + Projection method (AIT|AZP|CAR|GLS|MER|MOL|SFL|SIN|STG|TAN) [CAR]
216 215 First coordinate of image center in degrees (RA or galactic l) (0-360) [83.63] 0.0
217 216 Second coordinate of image center in degrees (DEC or galactic b) (-90-90) [22.01] 0.0
218   - Projection method (AIT|AZP|CAR|GLS|MER|MOL|SFL|SIN|STG|TAN) [CAR]
219   - Coordinate system (CEL - celestial, GAL - galactic) (CEL|GAL) [CEL] GAL
220 217 Image scale (in degrees/pixel) [0.02] 1.0
221 218 Size of the X axis in pixels [200] 50
222 219 Size of the Y axis in pixels [200] 30
223   - Output Test Statistic map file [tsmap.fits] tsmap.fits
  220 + Output Test Statistic map file [tsmap.fits]
224 221  
225 222 Below is the resulting Test Statistic map that shows 1.8 MeV emission
226 223 following the Galactic plane and peaking near the Galactic centre.
... ...
doc/source/users/tutorials/howto/comptel/howto_comptel_fitting.rst
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... ... @@ -187,78 +187,78 @@ log file ``ctlike.log`` that was also created by :ref:`ctlike`:
187 187  
188 188 .. code-block:: none
189 189  
190   - 2017-08-26T22:05:05: +=================================+
191   - 2017-08-26T22:05:05: | Maximum likelihood optimisation |
192   - 2017-08-26T22:05:05: +=================================+
193   - 2017-08-26T22:05:06: >Iteration 0: -logL=988086.091, Lambda=1.0e-03
194   - 2017-08-26T22:05:07: >Iteration 1: -logL=670534.792, Lambda=1.0e-03, delta=317551.299, step=1.0e+00, max(|grad|)=86219.859480 [Index:3]
195   - 2017-08-26T22:05:08: >Iteration 2: -logL=387046.862, Lambda=1.0e-04, delta=283487.930, step=1.0e+00, max(|grad|)=69886.869623 [Index:3]
196   - 2017-08-26T22:05:08: >Iteration 3: -logL=154426.362, Lambda=1.0e-05, delta=232620.499, step=1.0e+00, max(|grad|)=47994.333526 [Index:3]
197   - 2017-08-26T22:05:09: >Iteration 4: -logL=-12393.885, Lambda=1.0e-06, delta=166820.247, step=1.0e+00, max(|grad|)=24763.811238 [Index:3]
198   - 2017-08-26T22:05:10: >Iteration 5: -logL=-108271.655, Lambda=1.0e-07, delta=95877.770, step=1.0e+00, max(|grad|)=7544.090872 [Index:3]
199   - 2017-08-26T22:05:11: >Iteration 6: -logL=-145906.957, Lambda=1.0e-08, delta=37635.302, step=1.0e+00, max(|grad|)=1167.483336 [Index:3]
200   - 2017-08-26T22:05:12: >Iteration 7: -logL=-152898.212, Lambda=1.0e-09, delta=6991.255, step=1.0e+00, max(|grad|)=110.879761 [Index:3]
201   - 2017-08-26T22:05:12: >Iteration 8: -logL=-153217.134, Lambda=1.0e-10, delta=318.921, step=1.0e+00, max(|grad|)=-2.969681 [Scale factor 2:111]
202   - 2017-08-26T22:05:13: >Iteration 9: -logL=-153218.344, Lambda=1.0e-11, delta=1.210, step=1.0e+00, max(|grad|)=-0.047390 [Index:3]
203   - 2017-08-26T22:05:14: >Iteration 10: -logL=-153218.344, Lambda=1.0e-12, delta=0.000, step=1.0e+00, max(|grad|)=-0.001891 [Index:3]
204   - 2017-08-26T22:05:15:
205   - 2017-08-26T22:05:15: +====================================+
206   - 2017-08-26T22:05:15: | Maximum likelihood re-optimisation |
207   - 2017-08-26T22:05:15: +====================================+
208   - 2017-08-26T22:05:15: >Iteration 0: -logL=-152378.830, Lambda=1.0e-03
209   - 2017-08-26T22:05:16: >Iteration 1: -logL=-152759.255, Lambda=1.0e-03, delta=380.425, step=1.0e+00, max(|grad|)=-2.480864 [Scale factor 10:21]
210   - 2017-08-26T22:05:16: >Iteration 2: -logL=-152760.518, Lambda=1.0e-04, delta=1.264, step=1.0e+00, max(|grad|)=-0.019031 [Scale factor 10:21]
211   - 2017-08-26T22:05:16: >Iteration 3: -logL=-152760.518, Lambda=1.0e-05, delta=0.000, step=1.0e+00, max(|grad|)=-0.000001 [Scale factor 10:21]
212   - 2017-08-26T22:05:16:
213   - 2017-08-26T22:05:16: +============================================+
214   - 2017-08-26T22:05:16: | Maximum likelihood re-optimisation results |
215   - 2017-08-26T22:05:16: +============================================+
216   - 2017-08-26T22:05:16: === GOptimizerLM ===
217   - 2017-08-26T22:05:16: Optimized function value ..: -152760.518
218   - 2017-08-26T22:05:16: Absolute precision ........: 0.005
219   - 2017-08-26T22:05:16: Acceptable value decrease .: 2
220   - 2017-08-26T22:05:16: Optimization status .......: converged
221   - 2017-08-26T22:05:16: Number of parameters ......: 200
222   - 2017-08-26T22:05:16: Number of free parameters .: 87
223   - 2017-08-26T22:05:16: Number of iterations ......: 3
224   - 2017-08-26T22:05:16: Lambda ....................: 1e-06
225   - 2017-08-26T22:05:16:
226   - 2017-08-26T22:05:16: +=========================================+
227   - 2017-08-26T22:05:16: | Maximum likelihood optimisation results |
228   - 2017-08-26T22:05:16: +=========================================+
229   - 2017-08-26T22:05:16: === GOptimizerLM ===
230   - 2017-08-26T22:05:16: Optimized function value ..: -153218.344
231   - 2017-08-26T22:05:16: Absolute precision ........: 0.005
232   - 2017-08-26T22:05:16: Acceptable value decrease .: 2
233   - 2017-08-26T22:05:16: Optimization status .......: converged
234   - 2017-08-26T22:05:16: Number of parameters ......: 206
235   - 2017-08-26T22:05:16: Number of free parameters .: 89
236   - 2017-08-26T22:05:16: Number of iterations ......: 10
237   - 2017-08-26T22:05:16: Lambda ....................: 1e-13
238   - 2017-08-26T22:05:16: Maximum log likelihood ....: 153218.344
239   - 2017-08-26T22:05:16: Observed events (Nobs) ...: 527595.000
240   - 2017-08-26T22:05:16: Predicted events (Npred) ..: 527594.000 (Nobs - Npred = 1.00004221417475)
241   - 2017-08-26T22:05:16: === GModels ===
242   - 2017-08-26T22:05:16: Number of models ..........: 5
243   - 2017-08-26T22:05:16: Number of parameters ......: 206
244   - 2017-08-26T22:05:16: === GModelSky ===
245   - 2017-08-26T22:05:16: Name ......................: Crab
246   - 2017-08-26T22:05:16: Instruments ...............: all
247   - 2017-08-26T22:05:16: Test Statistic ............: 915.650908945536
248   - 2017-08-26T22:05:16: Instrument scale factors ..: unity
249   - 2017-08-26T22:05:16: Observation identifiers ...: all
250   - 2017-08-26T22:05:16: Model type ................: PointSource
251   - 2017-08-26T22:05:16: Model components ..........: "PointSource" * "PowerLaw" * "Constant"
252   - 2017-08-26T22:05:16: Number of parameters ......: 6
253   - 2017-08-26T22:05:16: Number of spatial par's ...: 2
254   - 2017-08-26T22:05:16: RA .......................: 83.6331 [-360,360] deg (fixed,scale=1)
255   - 2017-08-26T22:05:16: DEC ......................: 22.0145 [-90,90] deg (fixed,scale=1)
256   - 2017-08-26T22:05:16: Number of spectral par's ..: 3
257   - 2017-08-26T22:05:16: Prefactor ................: 0.00237517119227384 +/- 0.000107673211964802 [-1,1] ph/cm2/s/MeV (free,scale=0.001,gradient)
258   - 2017-08-26T22:05:16: Index ....................: -2.47153532398462 +/- 0.0500838601327289 [5,-5] (free,scale=-1,gradient)
259   - 2017-08-26T22:05:16: PivotEnergy ..............: 1 [0.01,1000] MeV (fixed,scale=1,gradient)
260   - 2017-08-26T22:05:16: Number of temporal par's ..: 1
261   - 2017-08-26T22:05:16: Normalization ............: 1 (relative value) (fixed,scale=1,gradient)
  190 + 2019-04-04T15:11:31: +=================================+
  191 + 2019-04-04T15:11:31: | Maximum likelihood optimisation |
  192 + 2019-04-04T15:11:31: +=================================+
  193 + 2019-04-04T15:11:32: >Iteration 0: -logL=988079.891, Lambda=1.0e-03
  194 + 2019-04-04T15:11:32: >Iteration 1: -logL=670528.685, Lambda=1.0e-03, delta=317551.206, step=1.0e+00, max(|grad|)=86223.268050 [Index:3]
  195 + 2019-04-04T15:11:33: >Iteration 2: -logL=387041.036, Lambda=1.0e-04, delta=283487.648, step=1.0e+00, max(|grad|)=69889.358952 [Index:3]
  196 + 2019-04-04T15:11:34: >Iteration 3: -logL=154421.136, Lambda=1.0e-05, delta=232619.900, step=1.0e+00, max(|grad|)=47995.573198 [Index:3]
  197 + 2019-04-04T15:11:35: >Iteration 4: -logL=-12398.051, Lambda=1.0e-06, delta=166819.188, step=1.0e+00, max(|grad|)=24764.034734 [Index:3]
  198 + 2019-04-04T15:11:35: >Iteration 5: -logL=-108274.155, Lambda=1.0e-07, delta=95876.104, step=1.0e+00, max(|grad|)=7544.055951 [Index:3]
  199 + 2019-04-04T15:11:36: >Iteration 6: -logL=-145907.646, Lambda=1.0e-08, delta=37633.490, step=1.0e+00, max(|grad|)=1167.458562 [Index:3]
  200 + 2019-04-04T15:11:36: >Iteration 7: -logL=-152898.181, Lambda=1.0e-09, delta=6990.535, step=1.0e+00, max(|grad|)=110.883829 [Index:3]
  201 + 2019-04-04T15:11:37: >Iteration 8: -logL=-153217.048, Lambda=1.0e-10, delta=318.867, step=1.0e+00, max(|grad|)=-2.969678 [Scale factor 2:111]
  202 + 2019-04-04T15:11:37: >Iteration 9: -logL=-153218.258, Lambda=1.0e-11, delta=1.210, step=1.0e+00, max(|grad|)=-0.047105 [Index:3]
  203 + 2019-04-04T15:11:38: >Iteration 10: -logL=-153218.258, Lambda=1.0e-12, delta=0.000, step=1.0e+00, max(|grad|)=-0.001877 [Index:3]
  204 + 2019-04-04T15:11:38:
  205 + 2019-04-04T15:11:38: +====================================+
  206 + 2019-04-04T15:11:38: | Maximum likelihood re-optimisation |
  207 + 2019-04-04T15:11:38: +====================================+
  208 + 2019-04-04T15:11:39: >Iteration 0: -logL=-152378.895, Lambda=1.0e-03
  209 + 2019-04-04T15:11:39: >Iteration 1: -logL=-152759.255, Lambda=1.0e-03, delta=380.360, step=1.0e+00, max(|grad|)=-2.480233 [Scale factor 10:21]
  210 + 2019-04-04T15:11:39: >Iteration 2: -logL=-152760.518, Lambda=1.0e-04, delta=1.263, step=1.0e+00, max(|grad|)=-0.019021 [Scale factor 10:21]
  211 + 2019-04-04T15:11:40: >Iteration 3: -logL=-152760.518, Lambda=1.0e-05, delta=0.000, step=1.0e+00, max(|grad|)=-0.000001 [Scale factor 10:21]
  212 + 2019-04-04T15:11:40:
  213 + 2019-04-04T15:11:40: +============================================+
  214 + 2019-04-04T15:11:40: | Maximum likelihood re-optimisation results |
  215 + 2019-04-04T15:11:40: +============================================+
  216 + 2019-04-04T15:11:40: === GOptimizerLM ===
  217 + 2019-04-04T15:11:40: Optimized function value ..: -152760.518
  218 + 2019-04-04T15:11:40: Absolute precision ........: 0.005
  219 + 2019-04-04T15:11:40: Acceptable value decrease .: 2
  220 + 2019-04-04T15:11:40: Optimization status .......: converged
  221 + 2019-04-04T15:11:40: Number of parameters ......: 200
  222 + 2019-04-04T15:11:40: Number of free parameters .: 87
  223 + 2019-04-04T15:11:40: Number of iterations ......: 3
  224 + 2019-04-04T15:11:40: Lambda ....................: 1e-06
  225 + 2019-04-04T15:11:40:
  226 + 2019-04-04T15:11:40: +=========================================+
  227 + 2019-04-04T15:11:40: | Maximum likelihood optimisation results |
  228 + 2019-04-04T15:11:40: +=========================================+
  229 + 2019-04-04T15:11:40: === GOptimizerLM ===
  230 + 2019-04-04T15:11:40: Optimized function value ..: -153218.258
  231 + 2019-04-04T15:11:40: Absolute precision ........: 0.005
  232 + 2019-04-04T15:11:40: Acceptable value decrease .: 2
  233 + 2019-04-04T15:11:40: Optimization status .......: converged
  234 + 2019-04-04T15:11:40: Number of parameters ......: 206
  235 + 2019-04-04T15:11:40: Number of free parameters .: 89
  236 + 2019-04-04T15:11:40: Number of iterations ......: 10
  237 + 2019-04-04T15:11:40: Lambda ....................: 1e-13
  238 + 2019-04-04T15:11:40: Maximum log likelihood ....: 153218.258
  239 + 2019-04-04T15:11:40: Observed events (Nobs) ...: 527595.000
  240 + 2019-04-04T15:11:40: Predicted events (Npred) ..: 527594.000 (Nobs - Npred = 1.00004248635378)
  241 + 2019-04-04T15:11:40: === GModels ===
  242 + 2019-04-04T15:11:40: Number of models ..........: 5
  243 + 2019-04-04T15:11:40: Number of parameters ......: 206
  244 + 2019-04-04T15:11:40: === GModelSky ===
  245 + 2019-04-04T15:11:40: Name ......................: Crab
  246 + 2019-04-04T15:11:40: Instruments ...............: all
  247 + 2019-04-04T15:11:40: Test Statistic ............: 915.478960024426
  248 + 2019-04-04T15:11:40: Instrument scale factors ..: unity
  249 + 2019-04-04T15:11:40: Observation identifiers ...: all
  250 + 2019-04-04T15:11:40: Model type ................: PointSource
  251 + 2019-04-04T15:11:40: Model components ..........: "PointSource" * "PowerLaw" * "Constant"
  252 + 2019-04-04T15:11:40: Number of parameters ......: 6
  253 + 2019-04-04T15:11:40: Number of spatial par's ...: 2
  254 + 2019-04-04T15:11:40: RA .......................: 83.6331 [-360,360] deg (fixed,scale=1)
  255 + 2019-04-04T15:11:40: DEC ......................: 22.0145 [-90,90] deg (fixed,scale=1)
  256 + 2019-04-04T15:11:40: Number of spectral par's ..: 3
  257 + 2019-04-04T15:11:40: Prefactor ................: 0.00237485707890478 +/- 0.000107670251181817 [-1,1] ph/cm2/s/MeV (free,scale=0.001,gradient)
  258 + 2019-04-04T15:11:40: Index ....................: -2.47146337740947 +/- 0.0500850436160353 [5,-5] (free,scale=-1,gradient)
  259 + 2019-04-04T15:11:40: PivotEnergy ..............: 1 [0.01,1000] MeV (fixed,scale=1,gradient)
  260 + 2019-04-04T15:11:40: Number of temporal par's ..: 1
  261 + 2019-04-04T15:11:40: Normalization ............: 1 (relative value) (fixed,scale=1,gradient)
262 262  
263 263 The fit converged after 10 iterations and did a second fit without the
264 264 source component to determine the Test Statistic value of the Crab.
... ...
doc/source/users/tutorials/howto/comptel/howto_comptel_spectrum.png
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doc/source/users/tutorials/howto/comptel/howto_comptel_spectrum.rst
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... ... @@ -8,65 +8,30 @@ Generate a spectral energy distribution for a source
8 8 You will learn how to use :ref:`ctlike` to derive the spectral energy
9 9 density of a source from COMPTEL data.
10 10  
11   -So far the :ref:`csspec` script does not work for COMPTEL data, but you
12   -will learn here a method that you can use to derive the spectrum of any
13   -source using COMPTEL data. For this you have to modify the
14   -:ref:`model definition file <glossary_moddef>`
15   -and replace the spectral component of the Crab by a node function:
16   -
17   -.. code-block:: xml
18   -
19   - <?xml version="1.0" standalone="no"?>
20   - <source_library title="source library">
21   - <source name="Crab" type="PointSource" tscalc="1">
22   - <spectrum type="NodeFunction">
23   - <node>
24   - <parameter name="Energy" value="0.75" scale="1" free="0" />
25   - <parameter name="Intensity" value="0.00177777777777778" error="0" scale="1" min="1e-30" free="1" />
26   - </node>
27   - <node>
28   - <parameter name="Energy" value="2.56496392001505" scale="1" free="0" />
29   - <parameter name="Intensity" value="0.000151997861926818" error="0" scale="1" min="1e-30" free="1" />
30   - </node>
31   - <node>
32   - <parameter name="Energy" value="8.7720532146386" scale="1" free="0" />
33   - <parameter name="Intensity" value="1.29956343920572e-05" error="0" scale="1" min="1e-30" free="1" />
34   - </node>
35   - <node>
36   - <parameter name="Energy" value="30" scale="1" free="0" />
37   - <parameter name="Intensity" value="1.11111111111111e-06" error="0" scale="1" min="1e-30" free="1" />
38   - </node>
39   - </spectrum>
40   - <spatialModel type="PointSource">
41   - <parameter name="RA" scale="1.0" value="83.6331" min="-360" max="360" free="0"/>
42   - <parameter name="DEC" scale="1.0" value="22.0145" min="-90" max="90" free="0"/>
43   - </spatialModel>
44   - </source>
45   - <source name="Background(0.75-1.0)MeV" type="DRBFitting" instrument="COM" id="100001">
46   - <node>
47   - <parameter name="Phibar" scale="1.0" value="1.0" min="0.0" max="50.0" free="0"/>
48   - <parameter name="Normalization" scale="1.0" value="0.0" min="0.0" max="1000.0" free="0"/>
49   - </node>
50   - ...
51   - </source_library>
52   -
53   -Instead of the power law the model now contains a node function with four
54   -intensity nodes between 0.75 MeV and 30 MeV, and the :ref:`ctlike` tool will
55   -now adjust the intensities of each of the nodes which will result in a
56   -spectrum. To do this type now:
  11 +To determine a spectrum of the Crab nebula you can use the :ref:`csspec`
  12 +script. To do this, type
57 13  
58 14 .. code-block:: bash
59 15  
60   - $ ctlike
61   - Input event list, counts cube or observation definition XML file [obs.xml]
62   - Input model definition XML file [models.xml] model_nodes.xml
63   - Output model definition XML file [crab_results.xml] crab_nodes_results.xml
64   -
65   -This will produce the
66   -:ref:`model definition file <glossary_moddef>`
67   -``crab_nodes_results.xml`` with the intensities of the fitted source at
68   -each energy. The results are displayed graphically below. The red data points
69   -show the combined Crab nebular and pulsar spectrum from
  16 + $ csspec
  17 + Input event list, counts cube, or observation definition XML file [events.fits] obs.xml
  18 + Input model definition XML file [$CTOOLS/share/models/crab.xml] models.xml
  19 + Source name [Crab]
  20 + Spectrum generation method (SLICE|NODES|AUTO) [AUTO]
  21 + Algorithm for defining energy bins (FILE|LIN|LOG) [LOG]
  22 + Start value for first energy bin in TeV [0.1] 0.00000075
  23 + Stop value for last energy bin in TeV [100.0] 0.00003
  24 + Number of energy bins (1-200) [20] 4
  25 + Output spectrum file [spectrum.fits]
  26 +
  27 +This will generate a logarithmically spaced spectrum composed of 4 energy bins
  28 +comprised within 0.75 MeV and 30 GeV. The :ref:`csspec` tool is run in the ``AUTO``
  29 +mode, which for COMPTEL data corresponds to the ``NODES`` method. :ref:`csspec`
  30 +will convert the Crab spectrum in the input model into a node function and fit
  31 +all intensity nodes using :ref:`ctlike`. The resulting node intensities are
  32 +then interpreted as the spectral point, and are displayed as red data points
  33 +in the figure below. The black data points show the combined Crab nebular and
  34 +pulsar spectrum from
70 35 `Kuiper et al. 2001, A&A, 378, 918 <http://cdsads.u-strasbg.fr/abs/2001A%26A...378..918K>`_
71 36 for comparison.
72 37  
... ... @@ -75,7 +40,3 @@ for comparison.
75 40 :align: center
76 41  
77 42 *Spectrum of the Crab derived using a node function*
78   -
79   -.. note::
80   - The ``NodeFunction`` spectral models implements a piece-wise power law
81   - that is defined by the intensity values at each node.
... ...
doc/source/users/tutorials/howto/comptel/howto_comptel_tsmap.rst
  View file @9159e38
... ... @@ -20,14 +20,14 @@ source. You do this by using the :ref:`cttsmap` tool as follows:
20 20 Input event list, counts cube or observation definition XML file [events.fits] obs.xml
21 21 Test source name [Crab]
22 22 Input model definition XML file [$CTOOLS/share/models/crab.xml] models.xml
  23 + Coordinate system (CEL - celestial, GAL - galactic) (CEL|GAL) [CEL]
  24 + Projection method (AIT|AZP|CAR|GLS|MER|MOL|SFL|SIN|STG|TAN) [CAR]
23 25 First coordinate of image center in degrees (RA or galactic l) (0-360) [83.63]
24 26 Second coordinate of image center in degrees (DEC or galactic b) (-90-90) [22.01]
25   - Projection method (AIT|AZP|CAR|GLS|MER|MOL|SFL|SIN|STG|TAN) [CAR]
26   - Coordinate system (CEL - celestial, GAL - galactic) (CEL|GAL) [CEL]
27 27 Image scale (in degrees/pixel) [0.02] 1.0
28 28 Size of the X axis in pixels [200] 10
29 29 Size of the Y axis in pixels [200] 10
30   - Output Test Statistic map file [tsmap.fits]
  30 + Output Test Statistic map file [tsmap.fits]
31 31  
32 32 :ref:`cttsmap` created a 10 x 10 pixels map with a pixel size of 1 degree
33 33 around the location of the Crab and saved the result in the FITS file
... ...
doc/source/users/tutorials/howto/comptel/howto_comptel_ulimit.rst
  View file @9159e38
... ... @@ -29,28 +29,28 @@ create the following
29 29 <parameter name="DRB" file="m35330_drg.fits"/>
30 30 <parameter name="DRG" file="m35330_drg.fits"/>
31 31 <parameter name="DRX" file="m32504_drx.fits"/>
32   - <parameter name="IAQ" value="ENERG(0.75-1.0)MeV"/>
  32 + <parameter name="IAQ" value="UNH(0.75-1.0)MeV"/>
33 33 </observation>
34 34 <observation name="Vela" id="200001" instrument="COM">
35 35 <parameter name="DRE" file="m50867_dre.fits"/>
36 36 <parameter name="DRB" file="m35330_drg.fits"/>
37 37 <parameter name="DRG" file="m35330_drg.fits"/>
38 38 <parameter name="DRX" file="m32504_drx.fits"/>
39   - <parameter name="IAQ" value="ENERG(1.0-3.0)MeV"/>
  39 + <parameter name="IAQ" value="UNH(1.0-3.0)MeV"/>
40 40 </observation>
41 41 <observation name="Vela" id="300001" instrument="COM">
42 42 <parameter name="DRE" file="m50868_dre.fits"/>
43 43 <parameter name="DRB" file="m35330_drg.fits"/>
44 44 <parameter name="DRG" file="m35330_drg.fits"/>
45 45 <parameter name="DRX" file="m32504_drx.fits"/>
46   - <parameter name="IAQ" value="ENERG(3.0-10.0)MeV"/>
  46 + <parameter name="IAQ" value="UNH(3.0-10.0)MeV"/>
47 47 </observation>
48 48 <observation name="Vela" id="400001" instrument="COM">
49 49 <parameter name="DRE" file="m50869_dre.fits"/>
50 50 <parameter name="DRB" file="m35330_drg.fits"/>
51 51 <parameter name="DRG" file="m35330_drg.fits"/>
52 52 <parameter name="DRX" file="m32504_drx.fits"/>
53   - <parameter name="IAQ" value="ENERG(10.0-30.0)MeV"/>
  53 + <parameter name="IAQ" value="UNH(10.0-30.0)MeV"/>
54 54 </observation>
55 55 </observation_list>
56 56  
... ... @@ -98,9 +98,9 @@ The results of the upper limit computation can then be extracted from the
98 98  
99 99 .. code-block:: bash
100 100  
101   - 2017-08-27T08:13:44: +=====================+
102   - 2017-08-27T08:13:44: | Upper limit results |
103   - 2017-08-27T08:13:44: +=====================+
104   - 2017-08-27T08:13:44: Differential flux limit ...: 9.26955448510129e-06 ph/cm2/s/MeV at 1e-06 TeV
105   - 2017-08-27T08:13:44: Integral flux limit .......: 6.43104918005e-05 ph/cm2/s within [7.5e-08-3e-05] TeV
106   - 2017-08-27T08:13:44: Energy flux limit .........: 1.54555137999306e-10 erg/cm2/s within [7.5e-08-3e-05] TeV
  101 + 2019-04-04T15:47:22: +=====================+
  102 + 2019-04-04T15:47:22: | Upper limit results |
  103 + 2019-04-04T15:47:22: +=====================+
  104 + 2019-04-04T15:47:22: Differential flux limit ...: 9.26467937144868e-06 ph/cm2/s/MeV at 1e-06 TeV
  105 + 2019-04-04T15:47:22: Integral flux limit .......: 6.42766691440729e-05 ph/cm2/s within [7.5e-08-3e-05] TeV
  106 + 2019-04-04T15:47:22: Energy flux limit .........: 1.54473853201363e-10 erg/cm2/s within [7.5e-08-3e-05] TeV
... ...
doc/source/users/tutorials/howto/fermi/howto_fermi_butterfly.png 100755 → 100644
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doc/source/users/tutorials/howto/fermi/howto_fermi_spectrum.rst
  View file @9159e38
... ... @@ -8,7 +8,7 @@ Generate a spectral energy distribution for a source
8 8 You will learn how to use :ref:`csspec` to derive the spectral energy
9 9 density of a source from Fermi-LAT data.
10 10  
11   -To determine a spectral of the Vela pulsar you can use the :ref:`csspec`
  11 +To determine a spectrum of the Vela pulsar you can use the :ref:`csspec`
12 12 script. To do this, type
13 13  
14 14 .. code-block:: bash
... ...
models/Makefile.am
  View file @9159e38
1 1 #############################################################################
2 2 # Makefile for models #
3 3 # ------------------------------------------------------------------------- #
4   -# Copyright (C) 2016-2018 Juergen Knoedlseder #
  4 +# Copyright (C) 2016-2019 Juergen Knoedlseder #
5 5 # ------------------------------------------------------------------------- #
6 6 # #
7 7 # This program is free software: you can redistribute it and/or modify #
... ... @@ -24,6 +24,7 @@ models = 1dc_howto.xml \
24 24 1dc_howto_unbinned.xml \
25 25 1dc_howto_vela.xml \
26 26 1dc_howto_velapsr.xml \
  27 + comptel_howto_gc.xml \
27 28 bkg_irf.xml \
28 29 bkg_cube.xml \
29 30 test_irf.xml \
... ... @@ -31,7 +32,7 @@ models = 1dc_howto.xml \
31 32 crab.xml \
32 33 crab_beyond.xml \
33 34 crab_2bkg.xml \
34   - crab_nobkg.xml \
  35 + crab_nobkg.xml \
35 36 crab_poly.xml \
36 37 crab_profile.xml \
37 38 disk.xml \
... ...
models/comptel_howto_gc.xml 0 → 100644
  View file @9159e38
  1 +<?xml version="1.0" encoding="UTF-8" standalone="no"?>
  2 +<source_library title="source library">
  3 + <source name="GC" type="PointSource" tscalc="1">
  4 + <spectrum type="Constant">
  5 + <parameter name="Normalization" scale="1.0e-5" value="1.0" min="-100.0" max="100.0" free="1"/>
  6 + </spectrum>
  7 + <spatialModel type="PointSource">
  8 + <parameter name="RA" scale="1.0" value="266.40" min="-360" max="360" free="0"/>
  9 + <parameter name="DEC" scale="1.0" value="-28.94" min="-90" max="90" free="0"/>
  10 + </spatialModel>
  11 + </source>
  12 + <source name="Background" type="DRBFitting" instrument="COM">
  13 + <node>
  14 + <parameter name="Phibar" scale="1.0" value="9.0" min="0.0" max="50.0" free="0" />
  15 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  16 + </node>
  17 + <node>
  18 + <parameter name="Phibar" scale="1.0" value="11.0" min="0.0" max="50.0" free="0" />
  19 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  20 + </node>
  21 + <node>
  22 + <parameter name="Phibar" scale="1.0" value="13.0" min="0.0" max="50.0" free="0"/>
  23 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  24 + </node>
  25 + <node>
  26 + <parameter name="Phibar" scale="1.0" value="15.0" min="0.0" max="50.0" free="0"/>
  27 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  28 + </node>
  29 + <node>
  30 + <parameter name="Phibar" scale="1.0" value="17.0" min="0.0" max="50.0" free="0"/>
  31 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  32 + </node>
  33 + <node>
  34 + <parameter name="Phibar" scale="1.0" value="19.0" min="0.0" max="50.0" free="0"/>
  35 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  36 + </node>
  37 + <node>
  38 + <parameter name="Phibar" scale="1.0" value="21.0" min="0.0" max="50.0" free="0"/>
  39 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  40 + </node>
  41 + <node>
  42 + <parameter name="Phibar" scale="1.0" value="23.0" min="0.0" max="50.0" free="0"/>
  43 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  44 + </node>
  45 + <node>
  46 + <parameter name="Phibar" scale="1.0" value="25.0" min="0.0" max="50.0" free="0"/>
  47 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  48 + </node>
  49 + <node>
  50 + <parameter name="Phibar" scale="1.0" value="27.0" min="0.0" max="50.0" free="0"/>
  51 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  52 + </node>
  53 + <node>
  54 + <parameter name="Phibar" scale="1.0" value="29.0" min="0.0" max="50.0" free="0"/>
  55 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  56 + </node>
  57 + <node>
  58 + <parameter name="Phibar" scale="1.0" value="31.0" min="0.0" max="50.0" free="0"/>
  59 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  60 + </node>
  61 + <node>
  62 + <parameter name="Phibar" scale="1.0" value="33.0" min="0.0" max="50.0" free="0"/>
  63 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  64 + </node>
  65 + <node>
  66 + <parameter name="Phibar" scale="1.0" value="35.0" min="0.0" max="50.0" free="0"/>
  67 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  68 + </node>
  69 + <node>
  70 + <parameter name="Phibar" scale="1.0" value="37.0" min="0.0" max="50.0" free="0"/>
  71 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  72 + </node>
  73 + <node>
  74 + <parameter name="Phibar" scale="1.0" value="39.0" min="0.0" max="50.0" free="0"/>
  75 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  76 + </node>
  77 + <node>
  78 + <parameter name="Phibar" scale="1.0" value="41.0" min="0.0" max="50.0" free="0"/>
  79 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  80 + </node>
  81 + <node>
  82 + <parameter name="Phibar" scale="1.0" value="43.0" min="0.0" max="50.0" free="0"/>
  83 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  84 + </node>
  85 + <node>
  86 + <parameter name="Phibar" scale="1.0" value="45.0" min="0.0" max="50.0" free="0"/>
  87 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  88 + </node>
  89 + <node>
  90 + <parameter name="Phibar" scale="1.0" value="47.0" min="0.0" max="50.0" free="0"/>
  91 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  92 + </node>
  93 + <node>
  94 + <parameter name="Phibar" scale="1.0" value="49.0" min="0.0" max="50.0" free="0"/>
  95 + <parameter name="Normalization" scale="1.0" value="1.0" min="0.0" max="1000.0" free="1"/>
  96 + </node>
  97 + </source>
  98 +</source_library>
... ...