Leonardo Di Venere / ctools

Commit 95da80d050b1dee885dee789a1747b955e183556

Authored by Jürgen Knödlseder
1 parent 5f4af19a

Add support for energy dispersion.

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Showing 2 changed files with 19 additions and 6 deletions
scripts/cspull.py
  View file @95da80d
... ... @@ -94,11 +94,12 @@ class cspull(GApplication):
94 94  
95 95 # Create default parfile
96 96 pars = GApplicationPars()
97   - pars.append(GApplicationPar("srcmdl","f","a","$GAMMALIB/share/models/crab.xml","","","Source model"))
  97 + pars.append(GApplicationPar("srcmdl","f","a","$CTOOLS/share/models/crab.xml","","","Source model"))
98 98 pars.append(GApplicationPar("outfile","f","a","pull.dat","","","Output file name"))
99 99 pars.append(GApplicationPar("ntrials","i","a","10","","","Number of trials"))
100 100 pars.append(GApplicationPar("caldb","s","h","","","","Calibration database"))
101 101 pars.append(GApplicationPar("irf","s","a","cta_dummy_irf","","","Instrument response function"))
  102 + pars.append(GApplicationPar("edisp","b","h","no","","","Apply energy dispersion?"))
102 103 pars.append(GApplicationPar("ra","r","a","83.6331","0","360","RA of pointing (deg)"))
103 104 pars.append(GApplicationPar("dec","r","a","22.0145","-90","90","Dec of pointing (deg)"))
104 105 pars.append(GApplicationPar("emin","r","a","0.1","0.0","","Lower energy limit (TeV)"))
... ... @@ -126,6 +127,7 @@ class cspull(GApplication):
126 127 self.m_ntrials = self["ntrials"].integer()
127 128 self.m_caldb = self["caldb"].string()
128 129 self.m_irf = self["irf"].string()
  130 + self.m_edisp = self["edisp"].boolean()
129 131 self.m_ra = self["ra"].real()
130 132 self.m_dec = self["dec"].real()
131 133 self.m_emin = self["emin"].real()
... ... @@ -268,6 +270,7 @@ class cspull(GApplication):
268 270 seed=seed, \
269 271 binsz=self.m_binsz, \
270 272 npix=self.m_npix, \
  273 + edisp=self.m_edisp, \
271 274 log=self.m_log, debug=self.m_debug)
272 275  
273 276 # Determine number of events in simulation
... ... @@ -283,7 +286,8 @@ class cspull(GApplication):
283 286 self.log("\n")
284 287  
285 288 # Fit model
286   - like = obsutils.fit(obs, log=self.m_log, debug=self.m_debug)
  289 + like = obsutils.fit(obs, edisp=self.m_edisp, \
  290 + log=self.m_log, debug=self.m_debug)
287 291  
288 292 # Store results
289 293 logL = like.opt().value()
... ...
scripts/obsutils.py
  View file @95da80d
... ... @@ -25,7 +25,8 @@ import gammalib
25 25 # ===================== #
26 26 # Simulate observations #
27 27 # ===================== #
28   -def sim(obs, log=False, debug=False, seed=0, nbins=0, binsz=0.05, npix=200):
  28 +def sim(obs, log=False, debug=False, edisp=False, seed=0, nbins=0,
  29 + binsz=0.05, npix=200):
29 30 """
30 31 Simulate events for all observations in the container.
31 32  
... ... @@ -33,7 +34,8 @@ def sim(obs, log=False, debug=False, seed=0, nbins=0, binsz=0.05, npix=200):
33 34 obs - Observation container
34 35 Keywords:
35 36 log - Create log file(s)
36   - debug - Create screen dump
  37 + debug - Create console dump?
  38 + edisp - Apply energy dispersion?
37 39 seed - Seed value for simulations (default: 0)
38 40 nbins - Number of energy bins (default: 0=unbinned)
39 41 binsz - Pixel size for binned simulation (deg/pixel)
... ... @@ -50,6 +52,9 @@ def sim(obs, log=False, debug=False, seed=0, nbins=0, binsz=0.05, npix=200):
50 52 # Optionally switch-on debugging model
51 53 if debug:
52 54 sim["debug"].boolean(True)
  55 +
  56 + # Optionally apply energy dispersion
  57 + sim["edisp"].boolean(edisp)
53 58  
54 59 # Run ctobssim application. This will loop over all observations in the
55 60 # container and simulation the events for each observation. Note that
... ... @@ -122,7 +127,7 @@ def sim(obs, log=False, debug=False, seed=0, nbins=0, binsz=0.05, npix=200):
122 127 # ================ #
123 128 # Fit observations #
124 129 # ================ #
125   -def fit(obs, log=False, debug=False):
  130 +def fit(obs, log=False, debug=False, edisp=False):
126 131 """
127 132 Perform maximum likelihood fitting of observations in the container.
128 133  
... ... @@ -131,6 +136,7 @@ def fit(obs, log=False, debug=False):
131 136 Keywords:
132 137 log - Create log file(s)
133 138 debug - Create screen dump
  139 + edisp - Apply energy dispersion?
134 140 """
135 141 # Allocate ctlike application
136 142 like = ctools.ctlike(obs)
... ... @@ -143,6 +149,9 @@ def fit(obs, log=False, debug=False):
143 149 if debug:
144 150 like["debug"].boolean(True)
145 151  
  152 + # Optionally apply energy dispersion
  153 + like["edisp"].boolean(edisp)
  154 +
146 155 # Run ctlike application.
147 156 like.run()
148 157  
... ... @@ -266,7 +275,7 @@ def modmap(obs, eref=0.1, proj="TAN", coord="GAL", xval=0.0, yval=0.0, \
266 275 # ======================= #
267 276 def set(pntdir, tstart=0.0, duration=1800.0, deadc=0.95, \
268 277 emin=0.1, emax=100.0, rad=5.0, \
269   - irf="cta_dummy_irf", caldb=""):
  278 + irf="cta_dummy_irf", caldb="$CTOOLS/share/caldb/data/cta/dummy"):
270 279 """
271 280 Returns a single CTA observation. By looping over this function we can
272 281 add CTA observations to the observation container.
... ...