# NIFTy # Copyright (C) 2017 Theo Steininger # # Author: Theo Steininger # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . from nifty import PowerSpace,\ Field,\ DiagonalOperator,\ FFTOperator __all__ = ['create_power_operator'] def create_power_operator(domain, power_spectrum, dtype=None, distribution_strategy='not'): """ Creates a diagonal operator with the given power spectrum. Constructs a diagonal operator that lives over the specified domain, or its default harmonic codomain in case it is not harmonic. Parameters ---------- domain : DomainObject Domain over which the power operator shall live. If this is not a harmonic domain, it will return an operator for its harmonic codomain instead. power_spectrum : (array-like, method) An array-like object, or a method that implements the square root of a power spectrum as a function of k. dtype : type *optional* dtype that the field holding the power spectrum shall use (default : None). if dtype == None: the dtype of `power_spectrum` will be used. distribution_strategy : string *optional* Distributed strategy to be used by the underlying d2o objects. (default : 'not') Returns ------- DiagonalOperator : An operator that implements the given power spectrum. """ if not domain.harmonic: fft = FFTOperator(domain) domain = fft.target[0] power_domain = PowerSpace(domain, distribution_strategy=distribution_strategy) fp = Field(power_domain, val=power_spectrum, dtype=dtype, distribution_strategy=distribution_strategy) fp **= 2 f = fp.power_synthesize(mean=1, std=0, real_signal=False) power_operator = DiagonalOperator(domain, diagonal=f, bare=True) return power_operator