Plotting Library (#467)

* PlottingLibrary New library collecting all plotting functions for the tutorial notebooks * Adding RMF and ARF in FITS format * Notebook updated * Update PlottingLibrary.py * Notebooks fixed and ran fully. Some veneer function calls directed to the new plotting library. Some text also updated. * Synthetic data changed to match Modeling tutorial. Also: Comments in the tutorial updated, likelihood check values in examples updated, and number if sampling steps/iterations reduced in the tutorial to make it faster. --------- Co-authored-by: Tuomo Salmi <[email protected]>
xpsi-group · Dec 13, 2024 · d3458ac · d3458ac
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diff --git a/docs/source/Instrument_synergy.ipynb b/docs/source/Instrument_synergy.ipynb
diff --git a/docs/source/Modeling.ipynb b/docs/source/Modeling.ipynb
diff --git a/docs/source/Modeling_without_statistics.ipynb b/docs/source/Modeling_without_statistics.ipynb
diff --git a/examples/examples_modeling_tutorial/TestRun_BB.py b/examples/examples_modeling_tutorial/TestRun_BB.py
@@ -461,7  461,7 @@ def transform(self, p, **kwargs):
 likelihood.externally_updated = True
 
 # let's require that checks pass before starting to sample
-true_logl = -26947.474150
 true_logl = -2.6883527522e 04
 likelihood.check(None, [true_logl], 1.0e-6,physical_points=[p],force_update=True)
 
 if __name__ == '__main__': # sample from the posterior

diff --git a/examples/examples_modeling_tutorial/TestRun_Num.py b/examples/examples_modeling_tutorial/TestRun_Num.py
@@ -620,7  620,7 @@ def transform(self, p, **kwargs):
                   'verbose': True}
 
 # let's require that checks pass before starting to sample
-true_logl = -6.6981424550e 04
 true_logl = -6.7261415434e 04
 likelihood.check(None, [true_logl], 1.0e-6,physical_points=[p],force_update=True)
 
 if __name__ == '__main__': # sample from the posterior

diff --git a/examples/examples_modeling_tutorial/TestRun_NumBeam.py b/examples/examples_modeling_tutorial/TestRun_NumBeam.py
@@ -590,7  590,7 @@ def transform(self, p, **kwargs):
                   'verbose': True}
 
 # let's require that checks pass before starting to sample
-true_logl = -6.7210627096e 04
 true_logl = -6.7497252832e 04
 likelihood.check(None, [true_logl], 1.0e-6,physical_points=[p],force_update=True)
 
 if __name__ == '__main__': # sample from the posterior