Reduction.Variance Submodule

Reduction tools related to variance estimation.

Functions

estimate_variance(inputfits[, window, nmin, …])	Estimates the 3D variance cube of an input cube.
scale_variance(data, var[, snr_min, n_min, …])	Automatically scale an initial 3D variance estimate using background pixels.
fit_covar_xy(fits_in, var[, mask, wrange, …])	Fits a two-component model to the noise as a function of bin size.
update_cov_header(fits_in, params)	Update FITS header to the given parameters of the covariance curve.