Remove usage of `NIFTy` in docs

nifty5/data_objects/numpy_do.py

@@ -15,7 +15,7 @@
 #
 # NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
 
-# Data object module for NIFTy that uses simple numpy ndarrays.
+# Data object module that uses simple numpy ndarrays.
 
 import numpy as np
 from numpy import absolute, clip, cos, cosh, empty, empty_like, exp, full, log

nifty5/domains/gl_space.py

@@ -21,7 +21,7 @@ from .structured_domain import StructuredDomain
 
 
 class GLSpace(StructuredDomain):
-    """NIFTy subclass for Gauss-Legendre pixelizations of the two-sphere.
+    """Represents a 2-sphere with Gauss-Legendre pixelizations.
 
     Its harmonic partner domain is the
     :class:`~nifty5.domains.lm_space.LMSpace`.

nifty5/domains/hp_space.py

@@ -21,7 +21,7 @@ from .structured_domain import StructuredDomain
 
 
 class HPSpace(StructuredDomain):
-    """NIFTy subclass for HEALPix discretizations of the two-sphere.
+    """Represents 2-sphere with HEALPix discretization.
 
     Its harmonic partner domain is the
     :class:`~nifty5.domains.lm_space.LMSpace`.

nifty5/domains/lm_space.py

@@ -22,7 +22,7 @@ from .structured_domain import StructuredDomain
 
 
 class LMSpace(StructuredDomain):
-    """NIFTy subclass for sets of spherical harmonic coefficients.
+    """Represents sets of spherical harmonic coefficients.
 
     Its harmonic partner spaces are :class:`~nifty5.domains.hp_space.HPSpace`
     and :class:`~nifty5.domains.gl_space.GLSpace`.

nifty5/domains/log_rg_space.py

@@ -24,7 +24,7 @@ from .structured_domain import StructuredDomain
 
 
 class LogRGSpace(StructuredDomain):
-    """NIFTy subclass for logarithmic Cartesian grids.
+    """Represents a logarithmic Cartesian grid.
 
     Parameters
     ----------

nifty5/domains/power_space.py

@@ -22,7 +22,7 @@ from .structured_domain import StructuredDomain
 
 
 class PowerSpace(StructuredDomain):
-    """NIFTy class for spaces of power spectra.
+    """Represents non-equidistantly binned spaces for power spectra.
 
     A power space is the result of a projection of a harmonic domain where
     k-modes of equal length get mapped to one power index.

nifty5/domains/rg_space.py

@@ -24,7 +24,7 @@ from .structured_domain import StructuredDomain
 
 
 class RGSpace(StructuredDomain):
-    """NIFTy subclass for regular Cartesian grids.
+    """Represents a regular Cartesian grid.
 
     Parameters
     ----------

nifty5/domains/structured_domain.py

@@ -21,7 +21,7 @@ from .domain import Domain
 
 
 class StructuredDomain(Domain):
-    """The abstract base class for all structured NIFTy domains.
+    """The abstract base class for all structured domains.
 
     An instance of a space contains information about the manifold's
     geometry and enhances the functionality of Domain by methods that

nifty5/field.py

@@ -23,18 +23,15 @@ from .domain_tuple import DomainTuple
 
 
 class Field(object):
-    _scalar_dom = DomainTuple.scalar_domain()
-
     """The discrete representation of a continuous field over multiple spaces.
 
-    In NIFTy, Fields are used to store data arrays and carry all the needed
-    metainformation (i.e. the domain) for operators to be able to work on them.
+    Stores data arrays and carry all the needed metainformation (i.e. the
+    domain) for operators to be able to operate on them.
 
     Parameters
     ----------
     domain : DomainTuple
         the domain of the new Field
-
     val : data_object
         This object's global shape must match the domain shape
         After construction, the object will no longer be writeable!
@@ -42,9 +39,11 @@ class Field(object):
     Notes
     -----
     If possible, do not invoke the constructor directly, but use one of the
-    many convenience functions for Field construction!
+    many convenience functions for instantiation!
     """
 
+    _scalar_dom = DomainTuple.scalar_domain()
+
     def __init__(self, domain, val):
         if not isinstance(domain, DomainTuple):
             raise TypeError("domain must be of type DomainTuple")
@@ -337,7 +336,7 @@ class Field(object):
         """
         if not isinstance(x, Field):
             raise TypeError("The multiplier must be an instance of " +
-                            "the NIFTy field class")
+                            "the Field class")
         from .operators.outer_product_operator import OuterProduct
         return OuterProduct(self, x.domain)(x)
 
@@ -360,7 +359,7 @@ class Field(object):
         """
         if not isinstance(x, Field):
             raise TypeError("The dot-partner must be an instance of " +
-                            "the NIFTy field class")
+                            "the Field class")
 
         if x._domain != self._domain:
             raise ValueError("Domain mismatch")

nifty5/library/amplitude_operator.py

@@ -69,7 +69,6 @@ def SlopeOperator(domain, sm, sv, im, iv):
     '''
     Parameters
     ----------
-
     sm, sv : slope_mean = expected exponent of power law (e.g. -4),
                 slope_variance (default=1)
 

nifty5/operators/diagonal_operator.py

@@ -24,7 +24,7 @@ from .endomorphic_operator import EndomorphicOperator
 
 
 class DiagonalOperator(EndomorphicOperator):
-    """NIFTy class for diagonal operators.
+    """Represents a linear operator which is diagonal.
 
     The NIFTy DiagonalOperator class is a subclass derived from the
     EndomorphicOperator. It multiplies an input field pixel-wise with its

nifty5/operators/endomorphic_operator.py

@@ -21,12 +21,9 @@ from .linear_operator import LinearOperator
 
 
 class EndomorphicOperator(LinearOperator):
-    """NIFTy class for endomorphic operators.
-
-    The  NIFTy EndomorphicOperator describes linear operators with identical
-    domain and target.
+    """Represents a linear operator which is endomorphic, i.e. operators which
+    have identical domain and target.
     """
-
     @property
     def target(self):
         """DomainTuple : returns :attr:`domain`

nifty5/operators/scaling_operator.py

@@ -24,9 +24,6 @@ from .endomorphic_operator import EndomorphicOperator
 class ScalingOperator(EndomorphicOperator):
     """Operator which multiplies a Field with a scalar.
 
-    The NIFTy ScalingOperator class is a subclass derived from the
-    EndomorphicOperator. It multiplies an input field with a given factor.
-
     Parameters
     ----------
     factor : scalar