Angular power spectra transformations for Gaussian fields (gaussiancl)

This is a minimal Python package for working with the angular power spectra of spherical random fields constructed by transforming Gaussian random fields.

It can solve for the Gaussian angular power spectrum that will yield a given target angular power spectrum under a given transformation, such as lognormal.

The package can be installed using pip:

pip install gaussiancl

Then import the gaussiancl() function from the package:

from gaussiancl import gaussiancl

Current functionality covers the absolutely minimal use case. Please open an issue on GitHub if you would like to see anything added.

Distributions

Lognormal

\[Y = e^X - \lambda\]

\[\alpha = {\rm E}[Y] + \lambda\]

Reference/API

gcllim	band-limited Gaussian cl transform
gaussiancl	Solve for a Gaussian angular power spectrum.
lognormal	lognormal correlations
lognormal_normal	lognormal cross normal correlations