mufasa.signals

The mufasa.signals module provides robust tools for preprocessing spectral data, including RMS estimation, signal masking, spatial trimming, and moment calculations.

Functions

estimate_mode	Estimate the mode of the data using a histogram.
get_moments	Calculate moments of the signals in a cube.
get_rms_robust	Make a robust RMS estimate.
get_signal_mask	Provide a 3D mask indicating signal regions based on RMS and SNR threshold.
get_snr	Calculate the peak signal-to-noise ratio of the cube.
get_v_at_peak	Find the velocity corresponding to the peak emission.
get_v_mask	Return a mask centered on a reference velocity with a spectral window.
refine_rms	Refine the RMS estimate by masking out signal regions.
refine_signal_mask	Refine a signal mask by removing noisy features and expanding the mask.
trim_cube_edge	Remove spatial edges from a cube.
trim_edge	Trim edges using a 2D mask.
v_estimate	Estimate the velocity centroid based on peak emission.