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Update quickstart documentation
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cscripts/csresmap.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, a, events.fits,,, "Input event list, counts cube, or observation definition XML file" |
| 20 | 20 | inmodel, f, a, $CTOOLS/share/models/crab.xml,,, "Input model definition XML file" |
| 21 | 21 | modcube, f, a, NONE,,, "Input model cube file (generated with ctmodel)" |
| 22 | -expcube, f, a, NONE,,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, NONE,,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube, f, a, NONE,,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, NONE,,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, NONE,,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, NONE,,, "Input PSF cube file" | |
| 24 | +edispcube, f, a, NONE,,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, NONE,,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, prod2,,, "Calibration database" |
| 27 | 27 | irf, s, a, South_0.5h,,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" |
| ... | ... | @@ -43,7 +43,7 @@ yref, r, a, 22.01,-90,90, "Second coordinate of image center in degrees (DE |
| 43 | 43 | nxpix, i, a, 200,,, "Size of the X axis in pixels" |
| 44 | 44 | nypix, i, a, 200,,, "Size of the Y axis in pixels" |
| 45 | 45 | binsz, r, a, 0.02,,, "Pixel size (deg/pixel)" |
| 46 | -algorithm, s, a, SUBDIV,SUB|SUBDIV|SUBDIVSQRT|SIGNIFICANCE,, "Residual map computation algorithm" | |
| 46 | +algorithm, s, a, SIGNIFICANCE,SUB|SUBDIV|SUBDIVSQRT|SIGNIFICANCE,, "Residual map computation algorithm" | |
| 47 | 47 | |
| 48 | 48 | # |
| 49 | 49 | # Standard parameters | ... | ... |
cscripts/csspec.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, a, events.fits,,, "Input event list, counts cube, or observation definition XML file" |
| 20 | 20 | inmodel, f, a, $CTOOLS/share/models/crab.xml,,, "Input model definition XML file" |
| 21 | 21 | srcname, s, a, Crab,,, "Source name" |
| 22 | -expcube, f, a, NONE,,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, NONE,,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube, f, a, NONE,,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, NONE,,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, NONE,,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, NONE,,, "Input PSF cube file" | |
| 24 | +edispcube, f, a, NONE,,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, NONE,,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, prod2,,, "Calibration database" |
| 27 | 27 | irf, s, a, South_0.5h,,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" | ... | ... |
cscripts/cstsdist.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, h, NONE,,, "Input event list, counts cube, or observation definition XML file" |
| 20 | 20 | inmodel, f, a, $CTOOLS/share/models/crab.xml,,, "Input model definition XML file" |
| 21 | 21 | srcname, s, a, Crab,,, "Source name" |
| 22 | -expcube, f, a, NONE,,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, NONE,,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube, f, a, NONE,,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, NONE,,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, NONE,,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, NONE,,, "Input PSF cube file" | |
| 24 | +edispcube, f, a, NONE,,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, NONE,,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, prod2,,, "Calibration database" |
| 27 | 27 | irf, s, a, South_0.5h,,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" | ... | ... |
cscripts/cstsmapsplit.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, a, events.fits,,, "Input event list, counts cube or observation definition XML file" |
| 20 | 20 | inmodel, f, a, $CTOOLS/share/models/crab.xml,,, "Input model definition XML file" |
| 21 | 21 | srcname, s, a, Crab,,, "Test source name" |
| 22 | -expcube, f, a, NONE,,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, NONE,,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube, f, a, NONE,,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, NONE,,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, NONE,,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, NONE,,, "Input PSF cube file" | |
| 24 | +edispcube, f, a, NONE,,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, NONE,,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, prod2,,, "Calibration database" |
| 27 | 27 | irf, s, a, South_0.5h,,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" | ... | ... |
doc/source/users/reference_manual/csresmap.rst
| ... | ... | @@ -36,13 +36,16 @@ General parameters |
| 36 | 36 | Input model cube file (generated with ctmodel). |
| 37 | 37 | |
| 38 | 38 | ``expcube [file]`` |
| 39 | - Input exposure cube file (only needed for stacked analysis). | |
| 39 | + Input exposure cube file. | |
| 40 | 40 | |
| 41 | 41 | ``psfcube [file]`` |
| 42 | - Input PSF cube file (only needed for stacked analysis). | |
| 42 | + Input PSF cube file. | |
| 43 | + | |
| 44 | +``edispcube [file]`` | |
| 45 | + Input energy dispersion cube file. | |
| 43 | 46 | |
| 44 | 47 | ``bkgcube [file]`` |
| 45 | - Input background cube file (only needed for stacked analysis). | |
| 48 | + Input background cube file. | |
| 46 | 49 | |
| 47 | 50 | ``inmodel [file]`` |
| 48 | 51 | Input model XML file. |
| ... | ... | @@ -61,48 +64,48 @@ General parameters |
| 61 | 64 | |
| 62 | 65 | ``(ebinalg = LOG) <FILE|LIN|LOG> [string]`` |
| 63 | 66 | Algorithm for defining energy bins. |
| 64 | - | |
| 67 | + | |
| 65 | 68 | ``emin [real]`` |
| 66 | 69 | Lower energy value for first energy bin (in TeV). |
| 67 | - | |
| 70 | + | |
| 68 | 71 | ``emax [real]`` |
| 69 | 72 | Upper energy value for last energy bin (in TeV). |
| 70 | - | |
| 73 | + | |
| 71 | 74 | ``(enumbins = 20) [integer]`` |
| 72 | 75 | Number of model cube energy bins. |
| 73 | - | |
| 76 | + | |
| 74 | 77 | ``ebinfile [file]`` |
| 75 | 78 | Name of the file containing the energy bin definition. |
| 76 | - | |
| 79 | + | |
| 77 | 80 | ``coordsys <CEL|GAL> [string]`` |
| 78 | 81 | Coordinate system (CEL - celestial, GAL - galactic). |
| 79 | - | |
| 82 | + | |
| 80 | 83 | ``proj <AIT|AZP|CAR|GLS|MER|MOL|SFL|SIN|STG|TAN> [string]`` |
| 81 | 84 | Projection method. |
| 82 | 85 | |
| 83 | 86 | ``xref [real]`` |
| 84 | 87 | Right Ascension / Galactic longitude of cube centre (J2000, in degrees). |
| 85 | - | |
| 88 | + | |
| 86 | 89 | ``yref [real]`` |
| 87 | 90 | Declination / Galactic latitude of cube centre (J2000, in degrees). |
| 88 | - | |
| 91 | + | |
| 89 | 92 | ``nxpix [integer]`` |
| 90 | 93 | Number of cube bins in Right Ascension or Galactic longitude. |
| 91 | - | |
| 94 | + | |
| 92 | 95 | ``nypix [integer]`` |
| 93 | 96 | Number of cube bins in Declination or Galactic latitude. |
| 94 | - | |
| 97 | + | |
| 95 | 98 | ``binsz [real]`` |
| 96 | 99 | Cube bin size (in degrees/pixel). |
| 97 | - | |
| 98 | -``(algorithm = SUBDIV) <SUB|SUBDIV|SUBDIVSQRT|SIGNIF> [string]`` | |
| 100 | + | |
| 101 | +``algorithm <SUB|SUBDIV|SUBDIVSQRT|SIGNIFICANCE> [string]`` | |
| 99 | 102 | Algorithm used to generate the residual map: |
| 100 | 103 | |
| 101 | 104 | ``SUB``: :math:`DATA - MODEL` |
| 102 | 105 | |
| 103 | - ``SUBDIV``: :math:`\frac{DATA - MODEL}{MODEL}` | |
| 106 | + ``SUBDIV``: :math:`(DATA - MODEL) / MODEL` | |
| 104 | 107 | |
| 105 | - ``SUBDIVSQRT``: :math:`\frac{DATA - MODEL}{\sqrt{MODEL}}` | |
| 108 | + ``SUBDIVSQRT``: :math:`(DATA - MODEL) / \sqrt{MODEL}` | |
| 106 | 109 | |
| 107 | 110 | ``SIGNIFICANCE``: :math:`{\rm sign}(DATA-MODEL) \times \sqrt{ 2 \times ( DATA \times \ln \left(\frac{DATA}{MODEL} \right) + MODEL - DATA ) }` |
| 108 | 111 | |
| ... | ... | @@ -116,21 +119,21 @@ Standard parameters |
| 116 | 119 | ``(chatter = 2) [integer]`` |
| 117 | 120 | Verbosity of the executable: |
| 118 | 121 | ``chatter = 0``: no information will be logged |
| 119 | - | |
| 122 | + | |
| 120 | 123 | ``chatter = 1``: only errors will be logged |
| 121 | - | |
| 124 | + | |
| 122 | 125 | ``chatter = 2``: errors and actions will be logged |
| 123 | - | |
| 126 | + | |
| 124 | 127 | ``chatter = 3``: report about the task execution |
| 125 | - | |
| 128 | + | |
| 126 | 129 | ``chatter = 4``: detailed report about the task execution |
| 127 | - | |
| 130 | + | |
| 128 | 131 | ``(clobber = yes) [boolean]`` |
| 129 | 132 | Specifies whether an existing residual map file should be overwritten. |
| 130 | - | |
| 133 | + | |
| 131 | 134 | ``(debug = no) [boolean]`` |
| 132 | 135 | Enables debug mode. In debug mode the executable will dump any log file output to the console. |
| 133 | - | |
| 136 | + | |
| 134 | 137 | ``(mode = ql) [string]`` |
| 135 | 138 | Mode of automatic parameters (default is "ql", i.e. "query and learn"). |
| 136 | 139 | ... | ... |
doc/source/users/reference_manual/csspec.rst
| ... | ... | @@ -54,21 +54,17 @@ General parameters |
| 54 | 54 | ``inmodel [file]`` |
| 55 | 55 | Input model XML file. |
| 56 | 56 | |
| 57 | -``srcname [string]`` | |
| 58 | - Name of the source in the source model XML file which should be used | |
| 59 | - for sensitivity computation. | |
| 60 | - | |
| 61 | -``outfile [file]`` | |
| 62 | - Name of the source spectrum output file. | |
| 63 | - | |
| 64 | 57 | ``expcube [file]`` |
| 65 | - Exposure cube file (only needed for stacked analysis). | |
| 58 | + Input exposure cube file. | |
| 66 | 59 | |
| 67 | 60 | ``psfcube [file]`` |
| 68 | - PSF cube file (only needed for stacked analysis). | |
| 61 | + Input PSF cube file. | |
| 62 | + | |
| 63 | +``edispcube [file]`` | |
| 64 | + Input energy dispersion cube file. | |
| 69 | 65 | |
| 70 | 66 | ``bkgcube [file]`` |
| 71 | - Background cube file (only needed for stacked analysis). | |
| 67 | + Input background cube file. | |
| 72 | 68 | |
| 73 | 69 | ``caldb [string]`` |
| 74 | 70 | Calibration database. |
| ... | ... | @@ -79,6 +75,13 @@ General parameters |
| 79 | 75 | ``(edisp = no) [boolean]`` |
| 80 | 76 | Apply energy dispersion to response computation? |
| 81 | 77 | |
| 78 | +``srcname [string]`` | |
| 79 | + Name of the source in the source model XML file which should be used | |
| 80 | + for sensitivity computation. | |
| 81 | + | |
| 82 | +``outfile [file]`` | |
| 83 | + Output source spectrum file. | |
| 84 | + | |
| 82 | 85 | ``emin [real]`` |
| 83 | 86 | Lower energy limit of events (in TeV). |
| 84 | 87 | ... | ... |
doc/source/users/reference_manual/cstsdist.rst
| ... | ... | @@ -43,16 +43,19 @@ General parameters |
| 43 | 43 | for Test Statistics computation. |
| 44 | 44 | |
| 45 | 45 | ``outfile [file]`` |
| 46 | - ASCII file containing the TS distribution values. | |
| 46 | + Output ASCII file containing the TS distribution values. | |
| 47 | 47 | |
| 48 | 48 | ``expcube [file]`` |
| 49 | - Exposure cube file (only needed for stacked analysis). | |
| 49 | + Input exposure cube file. | |
| 50 | 50 | |
| 51 | 51 | ``psfcube [file]`` |
| 52 | - PSF cube file (only needed for stacked analysis). | |
| 52 | + Input PSF cube file. | |
| 53 | + | |
| 54 | +``edispcube [file]`` | |
| 55 | + Input energy dispersion cube file. | |
| 53 | 56 | |
| 54 | 57 | ``bkgcube [file]`` |
| 55 | - Background cube file (only needed for stacked analysis). | |
| 58 | + Input background cube file. | |
| 56 | 59 | |
| 57 | 60 | ``caldb [string]`` |
| 58 | 61 | Calibration database. | ... | ... |
doc/source/users/reference_manual/cstsmapsplit.rst
| ... | ... | @@ -30,13 +30,16 @@ General parameters |
| 30 | 30 | Name of source model for which the TS map should be computed. |
| 31 | 31 | |
| 32 | 32 | ``expcube [file]`` |
| 33 | - Input exposure cube file (only needed for stacked analysis). | |
| 33 | + Input exposure cube file. | |
| 34 | 34 | |
| 35 | 35 | ``psfcube [file]`` |
| 36 | - Input PSF cube file (only needed for stacked analysis). | |
| 36 | + Input PSF cube file. | |
| 37 | + | |
| 38 | +``edispcube [file]`` | |
| 39 | + Input energy dispersion cube file. | |
| 37 | 40 | |
| 38 | 41 | ``bkgcube [file]`` |
| 39 | - Input background cube file (only needed for stacked analysis). | |
| 42 | + Input background cube file. | |
| 40 | 43 | |
| 41 | 44 | ``caldb [string]`` |
| 42 | 45 | Calibration database. | ... | ... |
doc/source/users/reference_manual/ctbutterfly.rst
| ... | ... | @@ -53,13 +53,16 @@ General parameters |
| 53 | 53 | Name of source model for which the butterfly diagram should be computed. |
| 54 | 54 | |
| 55 | 55 | ``expcube [file]`` |
| 56 | - Input exposure cube file (only needed for stacked analysis). | |
| 56 | + Input exposure cube file. | |
| 57 | 57 | |
| 58 | 58 | ``psfcube [file]`` |
| 59 | - Input PSF cube file (only needed for stacked analysis). | |
| 59 | + Input PSF cube file. | |
| 60 | + | |
| 61 | +``edispcube [file]`` | |
| 62 | + Input energy dispersion cube file. | |
| 60 | 63 | |
| 61 | 64 | ``bkgcube [file]`` |
| 62 | - Input background cube file (only needed for stacked analysis). | |
| 65 | + Input background cube file. | |
| 63 | 66 | |
| 64 | 67 | ``caldb [string]`` |
| 65 | 68 | Calibration database. |
| ... | ... | @@ -79,7 +82,7 @@ General parameters |
| 79 | 82 | |
| 80 | 83 | ``(method = "GAUSSIAN") <GAUSSIAN|ENVELOPE> [string]`` |
| 81 | 84 | Computation method. |
| 82 | - | |
| 85 | + | |
| 83 | 86 | ``(confidence = 0.68) [real]`` |
| 84 | 87 | Confidence level for error computation. |
| 85 | 88 | |
| ... | ... | @@ -88,16 +91,16 @@ General parameters |
| 88 | 91 | |
| 89 | 92 | ``(ebinalg = "LOG") <FILE|LIN|LOG> [string]`` |
| 90 | 93 | Butterfly energy binning algorithm. |
| 91 | - | |
| 94 | + | |
| 92 | 95 | ``emin [real]`` |
| 93 | 96 | Minimum energy of butterfly (in TeV). |
| 94 | - | |
| 97 | + | |
| 95 | 98 | ``emax [real]`` |
| 96 | 99 | Maximum energy of butterfly (in TeV). |
| 97 | - | |
| 100 | + | |
| 98 | 101 | ``(enumbins = 100) [string]`` |
| 99 | 102 | Number of energy bins of butterfly. |
| 100 | - | |
| 103 | + | |
| 101 | 104 | ``(ebinfile = "NONE") [string]`` |
| 102 | 105 | File for energy binning algorithm. |
| 103 | 106 | ... | ... |
doc/source/users/reference_manual/cterror.rst
| ... | ... | @@ -38,13 +38,16 @@ General parameters |
| 38 | 38 | Name of source model for which the parameter errors should be computed. |
| 39 | 39 | |
| 40 | 40 | ``expcube [file]`` |
| 41 | - Input exposure cube file (only needed for stacked analysis). | |
| 41 | + Input exposure cube file. | |
| 42 | 42 | |
| 43 | 43 | ``psfcube [file]`` |
| 44 | - Input PSF cube file (only needed for stacked analysis). | |
| 44 | + Input PSF cube file. | |
| 45 | + | |
| 46 | +``edispcube [file]`` | |
| 47 | + Input energy dispersion cube file. | |
| 45 | 48 | |
| 46 | 49 | ``bkgcube [file]`` |
| 47 | - Input background cube file (only needed for stacked analysis). | |
| 50 | + Input background cube file. | |
| 48 | 51 | |
| 49 | 52 | ``caldb [string]`` |
| 50 | 53 | Calibration database. | ... | ... |
doc/source/users/reference_manual/ctmodel.rst
| ... | ... | @@ -57,13 +57,16 @@ General parameters |
| 57 | 57 | Input counts cube file to extract model cube definition. |
| 58 | 58 | |
| 59 | 59 | ``expcube [file]`` |
| 60 | - Input exposure cube file (only needed for stacked analysis). | |
| 60 | + Input exposure cube file. | |
| 61 | 61 | |
| 62 | 62 | ``psfcube [file]`` |
| 63 | - Input PSF cube file (only needed for stacked analysis). | |
| 63 | + Input PSF cube file. | |
| 64 | + | |
| 65 | +``edispcube [file]`` | |
| 66 | + Input energy dispersion cube file. | |
| 64 | 67 | |
| 65 | 68 | ``bkgcube [file]`` |
| 66 | - Input background cube file (only needed for stacked analysis). | |
| 69 | + Input background cube file. | |
| 67 | 70 | |
| 68 | 71 | ``caldb [string]`` |
| 69 | 72 | Calibration database. | ... | ... |
doc/source/users/reference_manual/cttsmap.rst
| ... | ... | @@ -40,13 +40,16 @@ General parameters |
| 40 | 40 | Name of source model for which the TS map should be computed. |
| 41 | 41 | |
| 42 | 42 | ``expcube [file]`` |
| 43 | - Input exposure cube file (only needed for stacked analysis). | |
| 43 | + Input exposure cube file. | |
| 44 | 44 | |
| 45 | 45 | ``psfcube [file]`` |
| 46 | - Input PSF cube file (only needed for stacked analysis). | |
| 46 | + Input PSF cube file. | |
| 47 | + | |
| 48 | +``edispcube [file]`` | |
| 49 | + Input energy dispersion cube file. | |
| 47 | 50 | |
| 48 | 51 | ``bkgcube [file]`` |
| 49 | - Input background cube file (only needed for stacked analysis). | |
| 52 | + Input background cube file. | |
| 50 | 53 | |
| 51 | 54 | ``caldb [string]`` |
| 52 | 55 | Calibration database. | ... | ... |
doc/source/users/reference_manual/ctulimit.rst
| ... | ... | @@ -36,13 +36,16 @@ General parameters |
| 36 | 36 | Name of source model for which the upper flux limit should be computed. |
| 37 | 37 | |
| 38 | 38 | ``expcube [file]`` |
| 39 | - Input exposure cube file (only needed for stacked analysis). | |
| 39 | + Input exposure cube file. | |
| 40 | 40 | |
| 41 | 41 | ``psfcube [file]`` |
| 42 | - Input PSF cube file (only needed for stacked analysis). | |
| 42 | + Input PSF cube file. | |
| 43 | + | |
| 44 | +``edispcube [file]`` | |
| 45 | + Input energy dispersion cube file. | |
| 43 | 46 | |
| 44 | 47 | ``bkgcube [file]`` |
| 45 | - Input background cube file (only needed for stacked analysis). | |
| 48 | + Input background cube file. | |
| 46 | 49 | |
| 47 | 50 | ``caldb [string]`` |
| 48 | 51 | Calibration database. | ... | ... |
doc/source/users/tutorials/quickstart/binning.rst
| 1 | -.. _sec_binning_cta: | |
| 1 | +.. _start_binning: | |
| 2 | 2 | |
| 3 | -Binning CTA data | |
| 4 | ----------------- | |
| 3 | +Binning event data | |
| 4 | +------------------ | |
| 5 | 5 | |
| 6 | 6 | .. admonition:: What you will learn |
| 7 | 7 | |
| 8 | 8 | You will learn how to use the :ref:`ctbin` tool to **bin the selected |
| 9 | - CTA event data into a counts cube**. | |
| 9 | + event data into a counts cube**. | |
| 10 | 10 | |
| 11 | 11 | A counts cube is a 3-dimensional data cube that is spanned by Right |
| 12 | 12 | Ascension (or Galactic longitude), Declination (or Galactic latitude), | ... | ... |
doc/source/users/tutorials/quickstart/butterfly.jpg
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doc/source/users/tutorials/quickstart/butterfly.rst
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| 1 | +.. _start_butterfly: | |
| 2 | + | |
| 3 | +Generating a butterfly diagram of the source spectrum | |
| 4 | +----------------------------------------------------- | |
| 5 | + | |
| 6 | + .. admonition:: What you will learn | |
| 7 | + | |
| 8 | + You will learn how to use the :ref:`ctbutterfly` tool to **generate a | |
| 9 | + butterfly diagram for the source spectrum**. | |
| 10 | + | |
| 11 | +The :ref:`ctlike` tool returns the statistic uncertainties for all fitted | |
| 12 | +parameters of the spectral model, but you may be interested in the manifold | |
| 13 | +of spectral models that are statistically compatible with the data. For this | |
| 14 | +purpose you should generate a butterfly diagram. You do this using the | |
| 15 | +:ref:`ctbutterfly` tool as follows: | |
| 16 | + | |
| 17 | +.. code-block:: bash | |
| 18 | + | |
| 19 | + $ ctbutterfly | |
| 20 | + Input event list, counts cube or observation definition XML file [events.fits] cntcube.fits | |
| 21 | + Input exposure cube file [NONE] expcube.fits | |
| 22 | + Input PSF cube file [NONE] psfcube.fits | |
| 23 | + Input background cube file [NONE] bkgcube.fits | |
| 24 | + Source of interest [Crab] | |
| 25 | + Input model definition XML file [$CTOOLS/share/models/crab.xml] crab_results.xml | |
| 26 | + Lower energy limit (TeV) [0.1] | |
| 27 | + Upper energy limit (TeV) [100.0] | |
| 28 | + Output ASCII file [butterfly.txt] | |
| 29 | + | |
| 30 | +The :ref:`ctbutterfly` tool creates an ASCII file ``butterfly.txt`` that | |
| 31 | +contains for each energy in MeV (column 1) the best fitted intensity | |
| 32 | +(column 2), the minimum intensity (column 3) and the maximum intensity | |
| 33 | +(column 4) that is compatible with the data, all in units of | |
| 34 | +:math:`{\rm photons} \, {\rm cm}^{-2} \, {\rm s}^{-1} \, {\rm MeV}^{-1}`. | |
| 35 | +The number of energies is given by the hidden ``enumbins`` parameter which by | |
| 36 | +default is set to 100. Below an excerpt of the first lines of the | |
| 37 | +``butterfly.txt`` file: | |
| 38 | + | |
| 39 | +.. code-block:: none | |
| 40 | + | |
| 41 | + 103514.216667934 7.65729960995773e-15 7.45677281959723e-15 7.85782640031824e-15 | |
| 42 | + 110917.48152624 6.46256412586182e-15 6.2982352355303e-15 6.62689301619334e-15 | |
| 43 | + 118850.222743702 5.45423807455102e-15 5.3195999976704e-15 5.58887615143164e-15 | |
| 44 | + 127350.308101666 4.6032367949486e-15 4.49293900723421e-15 4.71353458266298e-15 | |
| 45 | + 136458.313658893 3.88501358040058e-15 3.7946590323386e-15 3.97536812846257e-15 | |
| 46 | + ... | |
| 47 | + | |
| 48 | +A graphical display of the results is shown below: | |
| 49 | + | |
| 50 | +.. figure:: butterfly.jpg | |
| 51 | + :width: 600px | |
| 52 | + :align: center | |
| 53 | + | |
| 54 | + *Butterfly diagram of the Crab nebula* | |
| 55 | + | |
| 56 | +.. | |
| 57 | + | |
| 58 | + .. note:: | |
| 59 | + | |
| 60 | + The ctools package does not contain any tools or scripts for graphical | |
| 61 | + display of results since results are generally written into standard FITS | |
| 62 | + files that are readily displayed by existing astronomical tools. | |
| 63 | + | |
| 64 | + Nevertheless, for your convenience several scripts for graphical display | |
| 65 | + are included in the ctools package that rely on the | |
| 66 | + `matplotlib <http://matplotlib.org>`_ | |
| 67 | + Python module. You can find these scripts in the | |
| 68 | + ``$CTOOLS/share/examples/python`` folder. | |
| 69 | + | |
| 70 | + Read the section :ref:`1dc_howto_display` to learn more about the | |
| 71 | + available scripts. The plot above was generated using: | |
| 72 | + | |
| 73 | + .. code-block:: bash | |
| 74 | + | |
| 75 | + $ $CTOOLS/share/examples/python/show_butterfly.py butterfly.txt | ... | ... |
doc/source/users/tutorials/quickstart/energy_dispersion.rst
| 1 | -.. _sec_edisp_cta: | |
| 1 | +.. _start_edisp: | |
| 2 | 2 | |
| 3 | 3 | Taking the energy dispersion into account |
| 4 | 4 | ----------------------------------------- |
| ... | ... | @@ -15,7 +15,7 @@ Taking the energy dispersion into account |
| 15 | 15 | .. warning:: |
| 16 | 16 | Energy dispersion is fully implemented in ctools but is computationally |
| 17 | 17 | intensive. So be aware that the **tools and scripts will take a substantial |
| 18 | - amount of computing time**. | |
| 18 | + amount of computing time if energy dispersion is considered**. | |
| 19 | 19 | |
| 20 | 20 | You may not have recognised, but the examples you have exercised so far |
| 21 | 21 | have neglected the impact of the energy dispersion on the analysis. In reality, |
| ... | ... | @@ -39,7 +39,7 @@ To simulate events taking the energy dispersion into account you run the |
| 39 | 39 | Calibration database [prod2] |
| 40 | 40 | Instrument response function [South_0.5h] |
| 41 | 41 | Input model definition XML file [$CTOOLS/share/models/crab.xml] |
| 42 | - Output event data file or observation definition XML file [events.fits] | |
| 42 | + Output event data file or observation definition XML file [events.fits] events_edisp.fits | |
| 43 | 43 | |
| 44 | 44 | You then select events from the simulated data as before using the |
| 45 | 45 | :ref:`ctselect` tool: |
| ... | ... | @@ -47,7 +47,7 @@ You then select events from the simulated data as before using the |
| 47 | 47 | .. code-block:: bash |
| 48 | 48 | |
| 49 | 49 | $ ctselect |
| 50 | - Input event list or observation definition XML file [events.fits] | |
| 50 | + Input event list or observation definition XML file [events.fits] events_edisp.fits | |
| 51 | 51 | RA for ROI centre (degrees) (0-360) [83.63] |
| 52 | 52 | Dec for ROI centre (degrees) (-90-90) [22.01] |
| 53 | 53 | Radius of ROI (degrees) (0-180) [3.0] |
| ... | ... | @@ -55,7 +55,7 @@ You then select events from the simulated data as before using the |
| 55 | 55 | Stop time (UTC string, JD, MJD or MET in seconds) [NONE] 2020-01-01T00:40:00 |
| 56 | 56 | Lower energy limit (TeV) [0.1] |
| 57 | 57 | Upper energy limit (TeV) [100.0] |
| 58 | - Output event list or observation definition XML file [selected_events.fits] | |
| 58 | + Output event list or observation definition XML file [selected_events.fits] selected_events_edisp.fits | |
| 59 | 59 | |
| 60 | 60 | Then you bin as before the selected events into a counts cube using the |
| 61 | 61 | :ref:`ctbin` tool: |
| ... | ... | @@ -63,7 +63,7 @@ Then you bin as before the selected events into a counts cube using the |
| 63 | 63 | .. code-block:: bash |
| 64 | 64 | |
| 65 | 65 | $ ctbin |
| 66 | - Input event list or observation definition XML file [events.fits] selected_events.fits | |
| 66 | + Input event list or observation definition XML file [selected_events.fits] selected_events_edisp.fits | |
| 67 | 67 | First coordinate of image center in degrees (RA or galactic l) (0-360) [83.63] |
| 68 | 68 | Second coordinate of image center in degrees (DEC or galactic b) (-90-90) [22.01] |
| 69 | 69 | Projection method (AIT|AZP|CAR|GLS|MER|MOL|SFL|SIN|STG|TAN) [CAR] |
| ... | ... | @@ -75,7 +75,7 @@ Then you bin as before the selected events into a counts cube using the |
| 75 | 75 | Start value for first energy bin in TeV [0.1] |
| 76 | 76 | Stop value for last energy bin in TeV [100.0] |
| 77 | 77 | Number of energy bins (1-200) [20] |
| 78 | - Output counts cube file [cntcube.fits] | |
| 78 | + Output counts cube file [cntcube.fits] cntcube_edisp.fits | |
| 79 | 79 | |
| 80 | 80 | As next step you need to compute the |
| 81 | 81 | :ref:`energy dispersion cube <glossary_edispcube>` |
| ... | ... | @@ -84,7 +84,7 @@ using the :ref:`ctexpcube` tool. You run the tool as follows: |
| 84 | 84 | .. code-block:: bash |
| 85 | 85 | |
| 86 | 86 | $ ctedispcube |
| 87 | - Input event list or observation definition XML file [NONE] selected_events.fits | |
| 87 | + Input event list or observation definition XML file [NONE] selected_events_edisp.fits | |
| 88 | 88 | Calibration database [prod2] |
| 89 | 89 | Instrument response function [South_0.5h] |
| 90 | 90 | Input counts cube file to extract energy dispersion cube definition [NONE] |
| ... | ... | @@ -108,13 +108,13 @@ energy dispersion cube: |
| 108 | 108 | .. code-block:: bash |
| 109 | 109 | |
| 110 | 110 | $ ctlike edisp=yes |
| 111 | - Input event list, counts cube or observation definition XML file [selected_events.fits] cntcube.fits | |
| 111 | + Input event list, counts cube or observation definition XML file [selected_events.fits] cntcube_edisp.fits | |
| 112 | 112 | Input exposure cube file [expcube.fits] |
| 113 | 113 | Input PSF cube file [psfcube.fits] |
| 114 | 114 | Input energy dispersion cube file [NONE] edispcube.fits |
| 115 | 115 | Input background cube file [bkgcube.fits] |
| 116 | 116 | Input model definition XML file [$CTOOLS/share/models/crab.xml] models.xml |
| 117 | - Output model definition XML file [crab_results.xml] | |
| 117 | + Output model definition XML file [crab_results.xml] crab_results_edisp.xml | |
| 118 | 118 | |
| 119 | 119 | You can also perform an unbinned maximum likelihood analysis taking the energy |
| 120 | 120 | dispersion into account. In that case the energy dispersion information will be |
| ... | ... | @@ -125,8 +125,8 @@ and no energy dispersion cube is required: |
| 125 | 125 | .. code-block:: bash |
| 126 | 126 | |
| 127 | 127 | $ ctlike edisp=yes |
| 128 | - Input event list, counts cube or observation definition XML file [cntcube.fits] selected_events.fits | |
| 128 | + Input event list, counts cube or observation definition XML file [cntcube_edisp.fits] selected_events_edisp.fits | |
| 129 | 129 | Calibration database [prod2] |
| 130 | 130 | Instrument response function [South_0.5h] |
| 131 | 131 | Input model definition XML file [models.xml] $CTOOLS/share/models/crab.xml |
| 132 | - Output model definition XML file [crab_results.xml] | |
| 132 | + Output model definition XML file [crab_results_edisp.xml] | ... | ... |
doc/source/users/tutorials/quickstart/fitting.rst
| 1 | -.. _sec_fitting_cta: | |
| 1 | +.. _start_fitting: | |
| 2 | 2 | |
| 3 | -Fitting CTA data | |
| 4 | ----------------- | |
| 3 | +Fitting binned data | |
| 4 | +------------------- | |
| 5 | 5 | |
| 6 | 6 | .. admonition:: What you will learn |
| 7 | 7 | |
| ... | ... | @@ -28,8 +28,8 @@ have been binned into a counts cube and the fit computes the log-likelihood |
| 28 | 28 | function by summing over all 200 x 200 x 20 bins of the counts cube. There is |
| 29 | 29 | an alternative method, the so called *unbinned* mode, where the events are |
| 30 | 30 | not binned into a counts cube and the log-likelihood is computed directly by |
| 31 | -summing over all events. We will explore the *unbinned* mode later (see | |
| 32 | -:ref:`here <sec_unbinned_cta>`). | |
| 31 | +summing over all events. | |
| 32 | +:ref:`We will explore the unbinned mode later <start_unbinned>`. | |
| 33 | 33 | |
| 34 | 34 | The :ref:`ctlike` tool produced a |
| 35 | 35 | :ref:`model definition XML output file <glossary_moddef>` | ... | ... |
doc/source/users/tutorials/quickstart/index.rst
| 1 | -.. _quickstart: | |
| 1 | +.. _start: | |
| 2 | 2 | |
| 3 | 3 | First steps with ctools |
| 4 | 4 | ----------------------- |
| 5 | 5 | |
| 6 | -This section provides a step-by-step description of a simple CTA data simulation | |
| 7 | -and analysis example using the ctools. | |
| 6 | +This section provides a hands-on introduction of ctools. By means of an | |
| 7 | +example you will learn how to simulate and analyse CTA event data. This | |
| 8 | +section is intended to be read by newcomers. The reading and executing of the | |
| 9 | +examples should take about an hour, so grab some coffee before you start. | |
| 8 | 10 | |
| 9 | 11 | .. toctree:: |
| 10 | 12 | :maxdepth: 1 |
| ... | ... | @@ -15,5 +17,9 @@ and analysis example using the ctools. |
| 15 | 17 | binning |
| 16 | 18 | response |
| 17 | 19 | fitting |
| 20 | + residuals | |
| 21 | + butterfly | |
| 22 | + spectrum | |
| 18 | 23 | unbinned |
| 19 | 24 | energy_dispersion |
| 25 | + python | ... | ... |
doc/source/users/tutorials/quickstart/python.rst
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| 1 | +.. _start_python: | |
| 2 | + | |
| 3 | +Using ctools from Python | |
| 4 | +------------------------ | |
| 5 | + | |
| 6 | + .. admonition:: What you will learn | |
| 7 | + | |
| 8 | + You will learn how to **use the ctools and cscripts from Python** instead | |
| 9 | + of typing the commands in the console. | |
| 10 | + | |
| 11 | +ctools provides two Python modules that allow using all tools and scripts as | |
| 12 | +Python classes. To use ctools from Python you have to import the ``ctools`` | |
| 13 | +and ``cscripts`` modules into Python. You should also import the ``gammalib`` | |
| 14 | +module, as ctools without GammaLib is generally not very useful. | |
| 15 | + | |
| 16 | + .. warning:: | |
| 17 | + | |
| 18 | + Always import ``gammalib`` before you import ``ctools`` and ``cscripts``. | |
| 19 | + | |
| 20 | +To simulate the event data from Python you have to type the following (recall | |
| 21 | +:ref:`how to simulate event data from the command line <start_simulating>` for | |
| 22 | +comparison) : | |
| 23 | + | |
| 24 | +.. code-block:: python | |
| 25 | + | |
| 26 | + >>> import gammalib | |
| 27 | + >>> import ctools | |
| 28 | + >>> import cscripts | |
| 29 | + >>> sim = ctools.ctobssim() | |
| 30 | + >>> sim['inmodel'] = '${CTOOLS}/share/models/crab.xml' | |
| 31 | + >>> sim['outevents'] = 'events.fits' | |
| 32 | + >>> sim['caldb'] = 'prod2' | |
| 33 | + >>> sim['irf'] = 'South_0.5h' | |
| 34 | + >>> sim['ra'] = 83.63 | |
| 35 | + >>> sim['dec'] = 22.01 | |
| 36 | + >>> sim['rad'] = 5.0 | |
| 37 | + >>> sim['tmin'] = '2020-01-01T00:00:00' | |
| 38 | + >>> sim['tmax'] = '2020-01-01T01:00:00' | |
| 39 | + >>> sim['emin'] = 0.03 | |
| 40 | + >>> sim['emax'] = 200.0 | |
| 41 | + >>> sim.execute() | |
| 42 | + | |
| 43 | +The first line after the ``import`` statements generates an instance of the | |
| 44 | +:ref:`ctobssim` tool as a Python class. User parameters are then set using the | |
| 45 | +``[ ]`` operator. After setting all parameters the ``execute()`` method is called to | |
| 46 | +execute the :ref:`ctobssim` tool. On output the ``events.fits`` FITS file is | |
| 47 | +created. Until now everything is identical to running the tool from the command | |
| 48 | +line. | |
| 49 | + | |
| 50 | + .. note:: | |
| 51 | + | |
| 52 | + See the :ref:`reference` for a list of parameters and their types for | |
| 53 | + all tools and scripts. You can also inspect all parameters of a specific | |
| 54 | + tool by calling the tool follwed by ``--help`` from the command line, e.g. | |
| 55 | + | |
| 56 | + .. code-block:: bash | |
| 57 | + | |
| 58 | + $ ctobssim --help | |
| 59 | + | |
| 60 | +Instead of executing the tool you may also *run* the tool using | |
| 61 | + | |
| 62 | +.. code-block:: python | |
| 63 | + | |
| 64 | + >>> sim.run() | |
| 65 | + | |
| 66 | +The main difference to the ``execute()`` method is that the ``run()`` method | |
| 67 | +will not write the simulated event file to disk. Why is this useful? Well, | |
| 68 | +after having typed ``sim.run()`` the :ref:`ctobssim` class still exists as an | |
| 69 | +object in memory, including all the simulated events. The :ref:`ctobssim` | |
| 70 | +class has an ``obs()`` method that returns an observation container that holds | |
| 71 | +the simulated CTA observation with its associated events. To visualise this | |
| 72 | +container, type: | |
| 73 | + | |
| 74 | +.. code-block:: python | |
| 75 | + | |
| 76 | + >>> print(sim.obs()) | |
| 77 | + === GObservations === | |
| 78 | + Number of observations ....: 1 | |
| 79 | + Number of models ..........: 2 | |
| 80 | + Number of observed events .: 202766 | |
| 81 | + Number of predicted events : 0 | |
| 82 | + | |
| 83 | +There is one CTA observation in the container and to visualise that observation | |
| 84 | +type: | |
| 85 | + | |
| 86 | +.. code-block:: python | |
| 87 | + | |
| 88 | + >>> print(sim.obs()[0]) | |
| 89 | + === GCTAObservation === | |
| 90 | + Name ......................: | |
| 91 | + Identifier ................: | |
| 92 | + Instrument ................: CTA | |
| 93 | + Event file ................: events.fits | |
| 94 | + Event type ................: EventList | |
| 95 | + Statistics ................: Poisson | |
| 96 | + Ontime ....................: 3599.99999976158 s | |
| 97 | + Livetime ..................: 3527.99999976635 s | |
| 98 | + Deadtime correction .......: 0.98 | |
| 99 | + User energy range .........: undefined | |
| 100 | + === GCTAPointing === | |
| 101 | + Pointing direction ........: (RA,Dec)=(83.63,22.01) | |
| 102 | + === GCTAResponseIrf === | |
| 103 | + Caldb mission .............: cta | |
| 104 | + Caldb instrument ..........: prod2 | |
| 105 | + Response name .............: South_0.5h | |
| 106 | + Energy dispersion .........: Not used | |
| 107 | + Save energy range .........: undefined | |
| 108 | + === GCTAEventList === | |
| 109 | + Number of events ..........: 202766 (disposed in "events.fits") | |
| 110 | + Time interval .............: 58849.0008007407 - 58849.0424674074 days | |
| 111 | + Energy interval ...........: 0.03 - 200 TeV | |
| 112 | + Region of interest ........: RA=83.63, DEC=22.01 [0,0] Radius=5 deg | |
| 113 | + | |
| 114 | +The observation contains a CTA event list that is implement by the GammaLib | |
| 115 | +class ``GCTAEventList``. You can access the event list using the ``events()`` | |
| 116 | +method. To visualise the individual events you can iterate over the events | |
| 117 | +using a for loop. This will show the simulated celestial coordinates (RA, DEC), | |
| 118 | +the coordinate in the camera system [DETX, DETY], the energies and the | |
| 119 | +terrestrial times (TT) of all events. To do this, type: | |
| 120 | + | |
| 121 | +.. code-block:: python | |
| 122 | + | |
| 123 | + >>> events = sim.obs()[0].events() | |
| 124 | + >>> for event in events: | |
| 125 | + ... print(event) | |
| 126 | + ... | |
| 127 | + Dir=RA=83.6182556152344, DEC=22.2843074798584 [0.00478756989312195,-0.000189682185722814] Energy=63.157357275486 GeV Time=315532804.699509 s (TT) | |
| 128 | + Dir=RA=83.8212127685547, DEC=21.9629154205322 [-0.000819836781619686,0.0030950360932479] Energy=53.25997620821 GeV Time=315532805.889628 s (TT) | |
| 129 | + Dir=RA=83.6474838256836, DEC=22.0208301544189 [0.000189049359871014,0.000282857291220907] Energy=69.6808248758316 GeV Time=315532806.050809 s (TT) | |
| 130 | + ... | |
| 131 | + | |
| 132 | +You can now benefit from the fact that you have some simulated events in | |
| 133 | +memory to fit a model to these events using the :ref:`ctlike` class. | |
| 134 | +You will do this in unbinned mode. Here is what you have to type: | |
| 135 | + | |
| 136 | +.. code-block:: python | |
| 137 | + | |
| 138 | + >>> like = ctools.ctlike(sim.obs()) | |
| 139 | + >>> like.run() | |
| 140 | + | |
| 141 | +This is pretty compact. Where are the user parameters? | |
| 142 | +:ref:`ctlike` doesn't in fact need any parameters as all the relevant | |
| 143 | +information is already contained in the observation container produced by the | |
| 144 | +:ref:`ctobssim` class. | |
| 145 | +And you may have recognised that you constructed the :ref:`ctlike` | |
| 146 | +instance by using the :ref:`ctobssim` observation container as constructor | |
| 147 | +argument. | |
| 148 | + | |
| 149 | + .. note:: | |
| 150 | + | |
| 151 | + An observation container, implemented by the ``GObservations`` class | |
| 152 | + of GammaLib, is the fundamental brick of any ctools analysis. Many tools | |
| 153 | + and scripts handle observation containers, and accept them upon | |
| 154 | + construction and return them after running the tool via the ``obs()`` | |
| 155 | + method. | |
| 156 | + | |
| 157 | + Passing observation containers between ctools classes is a very | |
| 158 | + convenient and powerful way of building in-memory analysis pipelines. | |
| 159 | + However, this implies that you need some computing ressources when | |
| 160 | + dealing with large observation containers (for example if you want to | |
| 161 | + analyse a few 100 hours of data at once). Also, if the script crashes | |
| 162 | + the information is lost. | |
| 163 | + | |
| 164 | +To check how the fit went you can inspect the optimiser used by | |
| 165 | +:ref:`ctlike` by typing: | |
| 166 | + | |
| 167 | +.. code-block:: python | |
| 168 | + | |
| 169 | + >>> print(like.opt()) | |
| 170 | + === GOptimizerLM === | |
| 171 | + Optimized function value ..: 757618.425 | |
| 172 | + Absolute precision ........: 0.005 | |
| 173 | + Acceptable value decrease .: 2 | |
| 174 | + Optimization status .......: converged | |
| 175 | + Number of parameters ......: 10 | |
| 176 | + Number of free parameters .: 4 | |
| 177 | + Number of iterations ......: 2 | |
| 178 | + Lambda ....................: 1e-05 | |
| 179 | + | |
| 180 | +You see that the fit converged after 2 iterations. Out of 10 parameters in the | |
| 181 | +model 4 have been fitted (the others were kept fixed). To inspect the fit | |
| 182 | +results you can print the model container that can be access using the | |
| 183 | +``models()`` method of the observation container: | |
| 184 | + | |
| 185 | +.. code-block:: python | |
| 186 | + | |
| 187 | + >>> print(like.obs().models()) | |
| 188 | + === GModels === | |
| 189 | + Number of models ..........: 2 | |
| 190 | + Number of parameters ......: 10 | |
| 191 | + === GModelSky === | |
| 192 | + Name ......................: Crab | |
| 193 | + Instruments ...............: all | |
| 194 | + Instrument scale factors ..: unity | |
| 195 | + Observation identifiers ...: all | |
| 196 | + Model type ................: PointSource | |
| 197 | + Model components ..........: "PointSource" * "PowerLaw" * "Constant" | |
| 198 | + Number of parameters ......: 6 | |
| 199 | + Number of spatial par's ...: 2 | |
| 200 | + RA .......................: 83.6331 [-360,360] deg (fixed,scale=1) | |
| 201 | + DEC ......................: 22.0145 [-90,90] deg (fixed,scale=1) | |
| 202 | + Number of spectral par's ..: 3 | |
| 203 | + Prefactor ................: 5.73901839854211e-16 +/- 5.75150678022232e-18 [1e-23,1e-13] ph/cm2/s/MeV (free,scale=1e-16,gradient) | |
| 204 | + Index ....................: -2.46442704108736 +/- 0.00738985717701118 [-0,-5] (free,scale=-1,gradient) | |
| 205 | + PivotEnergy ..............: 300000 [10000,1000000000] MeV (fixed,scale=1000000,gradient) | |
| 206 | + Number of temporal par's ..: 1 | |
| 207 | + Normalization ............: 1 (relative value) (fixed,scale=1,gradient) | |
| 208 | + === GCTAModelIrfBackground === | |
| 209 | + Name ......................: CTABackgroundModel | |
| 210 | + Instruments ...............: CTA | |
| 211 | + Instrument scale factors ..: unity | |
| 212 | + Observation identifiers ...: all | |
| 213 | + Model type ................: "PowerLaw" * "Constant" | |
| 214 | + Number of parameters ......: 4 | |
| 215 | + Number of spectral par's ..: 3 | |
| 216 | + Prefactor ................: 0.995734795709415 +/- 0.00725726198557001 [0.001,1000] ph/cm2/s/MeV (free,scale=1,gradient) | |
| 217 | + Index ....................: -0.00198344390952578 +/- 0.00257263793207067 [-5,5] (free,scale=1,gradient) | |
| 218 | + PivotEnergy ..............: 1000000 [10000,1000000000] MeV (fixed,scale=1000000,gradient) | |
| 219 | + Number of temporal par's ..: 1 | |
| 220 | + Normalization ............: 1 (relative value) (fixed,scale=1,gradient) | |
| 221 | + | |
| 222 | +Suppose you want to repeat the fit by optimising also the position of the | |
| 223 | +point source. This is easy from Python. Type the following: | |
| 224 | + | |
| 225 | +.. code-block:: python | |
| 226 | + | |
| 227 | + >>> like.obs().models()['Crab']['RA'].free() | |
| 228 | + >>> like.obs().models()['Crab']['DEC'].free() | |
| 229 | + >>> like.run() | |
| 230 | + >>> print(like.obs().models()) | |
| 231 | + ... | |
| 232 | + RA .......................: 83.6334964430607 +/- 0.000614768905318078 [-360,360] deg (free,scale=1) | |
| 233 | + DEC ......................: 22.0149467750683 +/- 0.000559548446961086 [-90,90] deg (free,scale=1) | |
| 234 | + | |
| 235 | + | |
| 236 | +The ``like.obs().models()`` method provides the model container, using the | |
| 237 | +``['Crab']`` operator you access the Crab model in that container and using | |
| 238 | +the ``['RA']`` and ``['DEC']`` operators you access the relevant model | |
| 239 | +parameters. The ``free()`` method frees a parameter, the opposite would be a | |
| 240 | +call to the ``fix()`` method. | ... | ... |
doc/source/users/tutorials/quickstart/residuals.jpg
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doc/source/users/tutorials/quickstart/residuals.rst
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| 1 | +.. _start_residuals: | |
| 2 | + | |
| 3 | +Inspecting the fit residuals | |
| 4 | +---------------------------- | |
| 5 | + | |
| 6 | + .. admonition:: What you will learn | |
| 7 | + | |
| 8 | + You will learn how to use the :ref:`csresmap` script to **inspect the | |
| 9 | + fit residuals**. | |
| 10 | + | |
| 11 | +After having done a maximum likelihood fit it is good practice to inspect the | |
| 12 | +fit residuals. You do this with the :ref:`csresmap` script that creates a | |
| 13 | +residual sky map of the events from which the fitted model components were | |
| 14 | +subtracted. You run the :ref:`csresmap` script as follows: | |
| 15 | + | |
| 16 | +.. code-block:: bash | |
| 17 | + | |
| 18 | + $ csresmap | |
| 19 | + Input event list, counts cube, or observation definition XML file [events.fits] cntcube.fits | |
| 20 | + Input model cube file (generated with ctmodel) [NONE] | |
| 21 | + Input exposure cube file [NONE] expcube.fits | |
| 22 | + Input PSF cube file [NONE] psfcube.fits | |
| 23 | + Input background cube file [NONE] bkgcube.fits | |
| 24 | + Input model definition XML file [$CTOOLS/share/models/crab.xml] crab_results.xml | |
| 25 | + Residual map computation algorithm (SUB|SUBDIV|SUBDIVSQRT|SIGNIFICANCE) [SIGNIFICANCE] | |
| 26 | + Output residual map file [resmap.fits] | |
| 27 | + | |
| 28 | +.. | |
| 29 | + | |
| 30 | + .. note:: | |
| 31 | + | |
| 32 | + :ref:`csresmap` is a Python script while the other tools that you have | |
| 33 | + used so far are C++ binary executables. From the User perspective, Python | |
| 34 | + scripts and C++ binary executables behave the same way, but to distinguish | |
| 35 | + both all Python scripts names start with ``cs`` while all C++ binary | |
| 36 | + executables names start with ``ct``. | |
| 37 | + | |
| 38 | +The :ref:`csresmap` script produces the FITS file ``resmap.fits`` that contains | |
| 39 | +the residual counts map. The image is displayed below using | |
| 40 | +`ds9 <http://ds9.si.edu>`_ with a linear color scale and with a small Gaussian | |
| 41 | +kernel smoothing applied. Obviously, there are no significant residuals, which | |
| 42 | +indicates that the model fit was satisfactory. | |
| 43 | + | |
| 44 | +.. figure:: residuals.jpg | |
| 45 | + :width: 400px | |
| 46 | + :align: center | |
| 47 | + | |
| 48 | + *Residual sky map of the selected events with all model components subtracted* | |
| 49 | + | |
| 50 | +.. | |
| 51 | + | |
| 52 | + .. note:: | |
| 53 | + | |
| 54 | + :ref:`csresmap` implements different algorithms for the computation of the | |
| 55 | + residuals. These are: | |
| 56 | + | |
| 57 | + * ``SUB``: :math:`DATA - MODEL` | |
| 58 | + * ``SUBDIV``: :math:`(DATA - MODEL) / MODEL` | |
| 59 | + * ``SUBDIVSQRT``: :math:`(DATA - MODEL) / \sqrt{MODEL}` | |
| 60 | + * ``SIGNIFICANCE``: :math:`{\rm sign}(DATA-MODEL) \times \sqrt{ 2 \times ( DATA \times \ln \left(\frac{DATA}{MODEL} \right) + MODEL - DATA ) }` | |
| 61 | + | |
| 62 | + By default the ``SIGNIFICANCE`` algorithm is used. | ... | ... |
doc/source/users/tutorials/quickstart/response.rst
doc/source/users/tutorials/quickstart/selecting.rst
| 1 | -.. _sec_selecting_cta: | |
| 1 | +.. _start_selecting: | |
| 2 | 2 | |
| 3 | -Selecting CTA data | |
| 4 | ------------------- | |
| 3 | +Selecting event data | |
| 4 | +-------------------- | |
| 5 | 5 | |
| 6 | 6 | .. admonition:: What you will learn |
| 7 | 7 | |
| 8 | 8 | You will learn how to use the :ref:`ctselect` tool to **select relevant |
| 9 | - events from the simulated CTA event data**. | |
| 9 | + events from the simulated event data**. | |
| 10 | 10 | |
| 11 | -As next step you may want to select some events from the simulated CTA data. | |
| 11 | +As next step you may want to select some events from the simulated event data. | |
| 12 | 12 | You may want to restrict the events to a region of interest (ROI) of 3 degrees |
| 13 | 13 | around the Crab nebula, you may want to extract a 30 minutes time slice |
| 14 | 14 | from the data, and you may want to limit the energy range of the events |
| ... | ... | @@ -28,7 +28,7 @@ You do this event selection using the :ref:`ctselect` tool as follows: |
| 28 | 28 | Upper energy limit (TeV) [100.0] |
| 29 | 29 | Output event list or observation definition XML file [selected_events.fits] |
| 30 | 30 | |
| 31 | -This created a new CTA event list FITS file ``selected_events.fits`` | |
| 31 | +This created a new event list FITS file ``selected_events.fits`` | |
| 32 | 32 | that contains the selected data. |
| 33 | 33 | Below an excerpt of the ``ctselect.log`` log file that illustrates the |
| 34 | 34 | event selection: | ... | ... |
doc/source/users/tutorials/quickstart/simulating.rst
| 1 | -.. _sec_simulating_cta: | |
| 1 | +.. _start_simulating: | |
| 2 | 2 | |
| 3 | -Simulating CTA data | |
| 4 | -------------------- | |
| 3 | +Simulating event data | |
| 4 | +--------------------- | |
| 5 | 5 | |
| 6 | 6 | .. admonition:: What you will learn |
| 7 | 7 | |
| 8 | 8 | You will learn how to use the :ref:`ctobssim` tool from the command |
| 9 | - line to **simulate CTA event data**. | |
| 9 | + line to **simulate event data**. | |
| 10 | 10 | |
| 11 | 11 | :ref:`ctobssim` draws random events using a model of the celestial |
| 12 | 12 | gamma-ray intensity distribution that was convolved with the |
| ... | ... | @@ -39,7 +39,7 @@ characteristics of the simulation: |
| 39 | 39 | |
| 40 | 40 | Each line represents a query for one parameter value. |
| 41 | 41 | The line starts with a short description of the parameter, followed by |
| 42 | -the default value proposed by ctobssim in squared brackets ``[ ]``. | |
| 42 | +the default value proposed by :ref:`ctobssim` in squared brackets ``[ ]``. | |
| 43 | 43 | |
| 44 | 44 | **If no parameter value is entered the default value will be used**. |
| 45 | 45 | Otherwise, the specified value will overwrite the default value. |
| ... | ... | @@ -181,13 +181,22 @@ To use for example a seed value of 41 you should type: |
| 181 | 181 | |
| 182 | 182 | $ ctobssim seed=41 |
| 183 | 183 | |
| 184 | -:ref:`ctobssim` will write 2 files in the working directory: ``events.fits`` | |
| 184 | +.. | |
| 185 | + | |
| 186 | + .. note:: | |
| 187 | + | |
| 188 | + Hidden parameters are parameters that are not queried by a tool since | |
| 189 | + in general their values is not expected to change frequently. To change | |
| 190 | + hidden parameters they have to be given as arguments on the command line. | |
| 191 | + Multiple hidden parameters need to be separated by a white space. | |
| 192 | + | |
| 193 | +:ref:`ctobssim` will write two files in the working directory: ``events.fits`` | |
| 185 | 194 | and ``ctobssim.log``. The first file contains the simulated events in FITS |
| 186 | 195 | format and can be inspected using ``fv`` or ``ds9``. The FITS file will |
| 187 | 196 | contain three extensions: an empty primary image, a binary table named |
| 188 | 197 | ``EVENTS`` that holds the events (one row per event), and a binary table |
| 189 | 198 | named ``GTI`` holding the Good Time Intervals (for the moment a single row |
| 190 | -with 2 columns providing the start and the stop time of the simulated time | |
| 199 | +with two columns providing the start and the stop time of the simulated time | |
| 191 | 200 | interval). |
| 192 | 201 | |
| 193 | 202 | The second file produced by :ref:`ctobssim` is a human readable log file that |
| ... | ... | @@ -271,6 +280,6 @@ the hidden ``debug`` parameter to yes: |
| 271 | 280 | ``debug`` and you can use these parameters to control the log file |
| 272 | 281 | output. In addition, all tools have the hidden parameter ``clobber`` |
| 273 | 282 | that allows to overwrite existing files (set to ``yes`` by default) |
| 274 | - and ``mode`` that defines the mode of automatic tool parameters (set to | |
| 275 | - ``ql`` by default). | |
| 283 | + and ``mode`` that defines the mode of automatic parameters (set to | |
| 284 | + ``ql`` for *query and learn* by default). | |
| 276 | 285 | ... | ... |
doc/source/users/tutorials/quickstart/skymap.rst
| 1 | -.. _sec_skymap: | |
| 1 | +.. _start_skymap: | |
| 2 | 2 | |
| 3 | 3 | Generating a sky map |
| 4 | 4 | -------------------- |
| ... | ... | @@ -6,7 +6,7 @@ Generating a sky map |
| 6 | 6 | .. admonition:: What you will learn |
| 7 | 7 | |
| 8 | 8 | You will learn how to use the :ref:`ctskymap` tool to **generate a sky |
| 9 | - map from the selected CTA event data**. | |
| 9 | + map from the selected event data**. | |
| 10 | 10 | |
| 11 | 11 | Now let's have a look into the selected data by generating a sky map. You do |
| 12 | 12 | this with the :ref:`ctskymap` tool as follows: |
| ... | ... | @@ -68,6 +68,8 @@ example: |
| 68 | 68 | Lower energy limit (TeV) [0.1] |
| 69 | 69 | Upper energy limit (TeV) [100.0] |
| 70 | 70 | Background subtraction method (NONE|IRF) [NONE] IRF |
| 71 | + Calibration database [prod2] | |
| 72 | + Instrument response function [South_0.5h] | |
| 71 | 73 | Output skymap file [skymap.fits] skymap_subtracted.fits |
| 72 | 74 | |
| 73 | 75 | The resulting sky map, displayed using | ... | ... |
doc/source/users/tutorials/quickstart/spectrum.jpg
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doc/source/users/tutorials/quickstart/spectrum.rst
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| 1 | +.. _start_spectrum: | |
| 2 | + | |
| 3 | +Deriving a source spectrum | |
| 4 | +-------------------------- | |
| 5 | + | |
| 6 | + .. admonition:: What you will learn | |
| 7 | + | |
| 8 | + You will learn how to use the :ref:`csspec` script to **derive the spectral | |
| 9 | + energy distribution (SED) of a gamma-ray source**. | |
| 10 | + | |
| 11 | +You may also be interested in the determination of the spectral energy | |
| 12 | +distribution (SED) of the Crab nebula that is independent of an assumed | |
| 13 | +spectral shape. This can be achieved by the :ref:`csspec` script. | |
| 14 | + | |
| 15 | +The :ref:`csspec` script divides the energy range into a number of indepedent | |
| 16 | +energy bins and performs in each of the energy bins a maximum likelihood fit | |
| 17 | +of the source model. Since the spectral shape is generally poorly constrained | |
| 18 | +within a narrow energy bin, all spectral parameters except of the scaling | |
| 19 | +factor of the source model will be fixed for the fitting. The fit results will | |
| 20 | +be converted into a flux value per energy bin. The script also determines | |
| 21 | +upper flux limits as well as the Test Statistic value of the source in each | |
| 22 | +of the bins. | |
| 23 | + | |
| 24 | +Below an example how of you can determine the SED of the Crab for 10 energy | |
| 25 | +bins between 100 GeV and 100 TeV: | |
| 26 | + | |
| 27 | +.. code-block:: bash | |
| 28 | + | |
| 29 | + $ csspec | |
| 30 | + Input event list, counts cube, or observation definition XML file [events.fits] cntcube.fits | |
| 31 | + Input exposure cube file [NONE] expcube.fits | |
| 32 | + Input PSF cube file [NONE] psfcube.fits | |
| 33 | + Input background cube file [NONE] bkgcube.fits | |
| 34 | + Input model definition XML file [$CTOOLS/share/models/crab.xml] models.xml | |
| 35 | + Source name [Crab] | |
| 36 | + Binning algorithm (LIN|LOG|FILE) [LOG] | |
| 37 | + Lower energy limit (TeV) [0.1] | |
| 38 | + Upper energy limit (TeV) [100.0] | |
| 39 | + Number of energy bins (0=unbinned) [20] 10 | |
| 40 | + Output spectrum file [spectrum.fits] | |
| 41 | + | |
| 42 | +The :ref:`csspec` script creates the FITS file ``spectrum.fits`` that contains | |
| 43 | +the results of the SED fitting. A graphical display of the fit results is | |
| 44 | +shown below. | |
| 45 | + | |
| 46 | +.. figure:: spectrum.jpg | |
| 47 | + :width: 600px | |
| 48 | + :align: center | |
| 49 | + | |
| 50 | + *Spectral energy distribution of the Crab nebula* | |
| 51 | + | |
| 52 | +.. | |
| 53 | + | |
| 54 | + .. note:: | |
| 55 | + | |
| 56 | + The figure was created by typing: | |
| 57 | + | |
| 58 | + .. code-block:: bash | |
| 59 | + | |
| 60 | + $ $CTOOLS/share/examples/python/show_spectrum.py spectrum.fits | ... | ... |
doc/source/users/tutorials/quickstart/unbinned.rst
| 1 | -.. _sec_unbinned_cta: | |
| 1 | +.. _start_unbinned: | |
| 2 | 2 | |
| 3 | 3 | Doing an unbinned analysis |
| 4 | 4 | -------------------------- |
| ... | ... | @@ -53,7 +53,7 @@ hence there is no loss of information due to histogramming. |
| 53 | 53 | Below you see the corresponding output from the ``ctlike.log`` file. The fitted |
| 54 | 54 | parameters are essentially identical to the ones found in binned mode. |
| 55 | 55 | The slight difference with respect to the binned analysis may be explained |
| 56 | -by the different event sample that has been used for the analysis: while | |
| 56 | +by the different event sample that were used for the analysis: while | |
| 57 | 57 | binned likelihood works on rectangular counts cubes, unbinned likelihood works |
| 58 | 58 | on circular event selection regions. It is thus not possible to select exactly |
| 59 | 59 | the same events for both analyses. |
| ... | ... | @@ -115,3 +115,12 @@ the same events for both analyses. |
| 115 | 115 | 2017-08-08T20:56:28: PivotEnergy ..............: 1000000 [10000,1000000000] MeV (fixed,scale=1000000,gradient) |
| 116 | 116 | 2017-08-08T20:56:28: Number of temporal par's ..: 1 |
| 117 | 117 | 2017-08-08T20:56:28: Normalization ............: 1 (relative value) (fixed,scale=1,gradient) |
| 118 | + | |
| 119 | +.. | |
| 120 | + | |
| 121 | + .. note:: | |
| 122 | + | |
| 123 | + Many tools or scripts can also be used in unbinned mode, including | |
| 124 | + :ref:`csresmap`, :ref:`ctbutterfly` and :ref:`csspec` that were used | |
| 125 | + earlier. It is sufficient to replace the input counts cube by an event | |
| 126 | + list to activate unbinned mode for these tools. | ... | ... |
doc/source/users/user_manual/index.rst
doc/source/users/user_manual/python.rst
| ... | ... | @@ -22,7 +22,7 @@ To illustrate how to use ctools from Python, below is a working example |
| 22 | 22 | of an event list simulation using the :ref:`ctobssim` class. |
| 23 | 23 | An instance ``sim`` of the :ref:`ctobssim` class is generated and user |
| 24 | 24 | parameters are set for this instance using the ``[ ]`` operator. |
| 25 | -See the :ref:`reference` for a list of parameters and their types). | |
| 25 | +See the :ref:`reference` for a list of parameters and their types. | |
| 26 | 26 | The ``execute()`` method executes the :ref:`ctobssim` class in the same |
| 27 | 27 | way as if it were executed from the command line. |
| 28 | 28 | ... | ... |
src/ctbutterfly/ctbutterfly.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, a, "events.fits",,,"Input event list, counts cube or observation definition XML file" |
| 20 | 20 | inmodel, f, a, "$CTOOLS/share/models/crab.xml",,, "Input model definition XML file" |
| 21 | 21 | srcname, s, a, "Crab",,,"Source of interest" |
| 22 | -expcube, f, a, "NONE",,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, "NONE",,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube, f, a, "NONE",,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, "NONE",,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, "NONE",,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, "NONE",,, "Input PSF cube file" | |
| 24 | +edispcube, f, a, "NONE",,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, "NONE",,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, "prod2",,, "Calibration database" |
| 27 | 27 | irf, s, a, "South_0.5h",,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" |
| ... | ... | @@ -40,8 +40,8 @@ matrix, f, h, "NONE",,, "Input covariance Matrix FITS file" |
| 40 | 40 | # Energy binning parameters |
| 41 | 41 | #========================== |
| 42 | 42 | ebinalg, s, h, "LOG", FILE|LIN|LOG,,"Algorithm for defining energy bins" |
| 43 | -emin, r, a, 0.1,,,"Start value for first energy bin in TeV" | |
| 44 | -emax, r, a, 100.0,,,"Stop value for last energy bin in TeV" | |
| 43 | +emin, r, a, 0.1,,,"Lower energy limit (TeV)" | |
| 44 | +emax, r, a, 100.0,,,"Upper energy limit (TeV)" | |
| 45 | 45 | enumbins, i, h, 100,,,"Number of energy bins" |
| 46 | 46 | ebinfile, f, h, "NONE",,,"Name of the file containing the energy bin definition" |
| 47 | 47 | ... | ... |
src/cterror/cterror.par
| ... | ... | @@ -20,10 +20,10 @@ |
| 20 | 20 | inobs, f, a, "events.fits",,, "Input event list, counts cube or observation definition XML file" |
| 21 | 21 | inmodel, f, a, "$CTOOLS/share/models/crab.xml",,, "Input model definiton XML file" |
| 22 | 22 | srcname, s, a, "Crab",,, "Source of interest" |
| 23 | -expcube, f, a, "NONE",,, "Input exposure cube file (only needed for stacked analysis)" | |
| 24 | -psfcube, f, a, "NONE",,, "Input PSF cube file (only needed for stacked analysis)" | |
| 25 | -edispcube,f, a, "NONE",,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 26 | -bkgcube, f, a, "NONE",,, "Input background cube file (only needed for stacked analysis)" | |
| 23 | +expcube, f, a, "NONE",,, "Input exposure cube file" | |
| 24 | +psfcube, f, a, "NONE",,, "Input PSF cube file" | |
| 25 | +edispcube,f, a, "NONE",,, "Input energy dispersion cube file" | |
| 26 | +bkgcube, f, a, "NONE",,, "Input background cube file" | |
| 27 | 27 | caldb, s, a, "prod2",,, "Calibration database" |
| 28 | 28 | irf, s, a, "South_0.5h",,, "Instrument response function" |
| 29 | 29 | edisp, b, h, no,,, "Apply energy dispersion?" | ... | ... |
src/ctmodel/ctmodel.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, a, "NONE",,, "Input event list, counts cube or observation definition XML file" |
| 20 | 20 | incube, f, a, "NONE",,, "Input counts cube file to extract model cube definition" |
| 21 | 21 | inmodel, f, a, "$CTOOLS/share/models/crab.xml",,, "Input model definition XML file" |
| 22 | -expcube, f, a, "NONE",,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, "NONE",,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube,f, a, "NONE",,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, "NONE",,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, "NONE",,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, "NONE",,, "Input PSF cube file" | |
| 24 | +edispcube,f, a, "NONE",,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, "NONE",,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, "prod2",,, "Calibration database" |
| 27 | 27 | irf, s, a, "South_0.5h",,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" | ... | ... |
src/cttsmap/cttsmap.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, a, "events.fits",,, "Input event list, counts cube or observation definition XML file" |
| 20 | 20 | inmodel, f, a, "$CTOOLS/share/models/crab.xml",,, "Input model definition XML file" |
| 21 | 21 | srcname, s, a, "Crab",,, "Test source name" |
| 22 | -expcube, f, a, "NONE",,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, "NONE",,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube, f, a, "NONE",,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, "NONE",,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, "NONE",,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, "NONE",,, "Input PSF cube file" | |
| 24 | +edispcube, f, a, "NONE",,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, "NONE",,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, "prod2",,, "Calibration database" |
| 27 | 27 | irf, s, a, "South_0.5h",,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" | ... | ... |
src/ctulimit/ctulimit.par
| ... | ... | @@ -19,10 +19,10 @@ |
| 19 | 19 | inobs, f, a, "events.fits",,, "Input event list, counts cube or observation definition XML file" |
| 20 | 20 | inmodel, f, a, "$CTOOLS/share/models/crab.xml",,, "Input model definition XML file" |
| 21 | 21 | srcname, s, a, "Crab",,, "Source of interest" |
| 22 | -expcube, f, a, "NONE",,, "Input exposure cube file (only needed for stacked analysis)" | |
| 23 | -psfcube, f, a, "NONE",,, "Input PSF cube file (only needed for stacked analysis)" | |
| 24 | -edispcube,f, a, "NONE",,, "Input energy dispersion cube file (only needed for stacked analysis)" | |
| 25 | -bkgcube, f, a, "NONE",,, "Input background cube file (only needed for stacked analysis)" | |
| 22 | +expcube, f, a, "NONE",,, "Input exposure cube file" | |
| 23 | +psfcube, f, a, "NONE",,, "Input PSF cube file" | |
| 24 | +edispcube,f, a, "NONE",,, "Input energy dispersion cube file" | |
| 25 | +bkgcube, f, a, "NONE",,, "Input background cube file" | |
| 26 | 26 | caldb, s, a, "prod2",,, "Calibration database" |
| 27 | 27 | irf, s, a, "South_0.5h",,, "Instrument response function" |
| 28 | 28 | edisp, b, h, no,,, "Apply energy dispersion?" | ... | ... |