util - Miscellaneous Utilities

Functions

large_poisson(lam[, thresh])	Draw samples from a Poisson distribution, taking care of large values of lam.
inverse_truncated(M[, rcond, svd])	Invert M truncating the number of modes.
inverse_truncated_modal(M, num_modes[, svd])	Invert M with num_modes modes.
inverse_tikhonov(M[, rcond, svd])	Invert M using Tikhonov regularization.
read_fits(filename)	Read an array from a fits file.
write_fits(data, filename[, shape, overwrite])	Write the data to a fits-file.
read_grid(filename[, fmt])	Read a grid from a file.
write_grid(grid, filename[, fmt, overwrite])	Write a grid to a file.
read_field(filename[, fmt])	Read a field from a file.
write_field(field, filename[, fmt, overwrite])	Write a field to a file.
read_mode_basis(filename[, fmt])	Read a mode basis from a file.
write_mode_basis(mode_basis, filename[, …])	Write a mode basis to a file.

Classes

SpectralNoiseFactory(psd, output_grid[, …])
SpectralNoise()
SpectralNoiseFactoryFFT(psd, output_grid[, …])
SpectralNoiseFFT(factory, C)
SpectralNoiseFactoryMultiscale(psd, …[, …])
SpectralNoiseMultiscale(factory, C_1, C_2)
SVD(M[, num_modes])	The Singular Value Decomposition for the provided matrix.