lib.Qripples module

class lib.Qripples.BeamGaussianRippled(fwhm, backward=False, nripples=0)

Bases: BeamGaussian

Axisymmetric gaussian beam with ripples.

Methods

__call__(theta, phi)	Call self as a function.
healpix(nside)	Return the beam as a Healpix map.

class lib.Qripples.ConvolutionRippledGaussianOperator(freq, nripples=2, **keywords)

Bases: HealpixConvolutionGaussianOperator

Convolve a Healpix map by a gaussian kernel, modulated by ripples.

Attributes:

C

Return the complex-conjugate of the operator.

H

Return the adjoint of the operator.

I

Return the inverse of the operator.

T

Return the transpose of the operator.

adjoint

classin

classout

commin

commout

dtype

inverse

inverse_adjoint

inverse_conjugate

inverse_transpose

nbytes

Approximate memory footprint.

rules

shape

shapein

shapeout

transpose

Methods

__call__(x[, out, operation, preserve_input])	Call self as a function.
copy([target])	Return a shallow copy of the operator.
del_rule(subjects[, operation])	Delete an operator rule.
delete()	Delete an operator and its associated operators.
propagate_attributes(cls, attr)	Propagate attributes according to operator's attrout.
propagate_commin(commin)	Propagate MPI communicator of the input to the operands.
propagate_commout(commin)	Propagate MPI communicator of the output to the operands.
reshapein(shape)	Return the output shape given an input shape.
reshapeout(shape)	Return the input shape given an output shape.
set_rule(subjects, predicate[, operation])	Add a rule to the rule list, taking care of duplicates and priorities.
todense([shapein, shapeout, inplace])	Output the dense representation of the Operator as a ndarray.
toshapein(v)	Reshape a vector into a multi-dimensional array compatible with the operator's input shape.
toshapeout(v)	Reshape a vector into a multi-dimensional array compatible with the operator's output shape.
validate_flags(flags, **keywords)	Return flags as a dictionary.
validatein(shape)	Validate an input shape by raising a ValueError exception if it is invalid.
validateout(shapeout)	Validate an output shape by raising a ValueError exception if it is invalid.

conjugate
direct
matvec
rmatvec

direct(input, output)