Rename PoissonLogLikelihood -> PoissonianEnergy

nifty5/library/__init__.py

 from .amplitude_model import make_amplitude_model
 from .apply_data import ApplyData
+from .gaussian_energy import GaussianEnergy
 from .los_response import LOSResponse
 from .nonlinear_wiener_filter_energy import NonlinearWienerFilterEnergy
-from .gaussian_energy import GaussianEnergy
 from .point_sources import PointSources
-from .poisson_log_likelihood import PoissonLogLikelihood
+from .poissonian_energy import PoissonianEnergy
 from .smooth_sky import make_smooth_mf_sky_model, make_smooth_sky_model
 from .wiener_filter_curvature import WienerFilterCurvature
 from .wiener_filter_energy import WienerFilterEnergy

nifty5/library/poisson_log_likelihood.py → nifty5/library/poissonian_energy.py

@@ -23,7 +23,7 @@ from ..operators.sandwich_operator import SandwichOperator
 from ..sugar import log, makeOp
 
 
-class PoissonLogLikelihood(Energy):
+class PoissonianEnergy(Energy):
     def __init__(self, lamb, d):
         """
         lamb: Sky model object
@@ -31,7 +31,7 @@ class PoissonLogLikelihood(Energy):
         value = 0.5 * s.vdot(s), i.e. a log-Gauss distribution with unit
         covariance
         """
-        super(PoissonLogLikelihood, self).__init__(lamb.position)
+        super(PoissonianEnergy, self).__init__(lamb.position)
         self._lamb = lamb
         self._d = d