get_rms_robust

mufasa.signals.get_rms_robust(cube, sigma_cut=2.5, expand=20, trim=None, method='robust', return_sigmask=False, **kwargs)

Make a robust RMS estimate.

Parameters:

• cube (SpectralCube) – SpectralCube object.

• sigma_cut (float, optional) – Signal-to-noise ratio to mask out regions containing signal.

• expand (int, optional) – Number of spectral channels to expand the signal mask.

• trim (int or None, optional) – Number of pixels to trim from the edges of the cube.

• method ({'robust', 'signal_mask'}, optional) – Method to calculate RMS.

• return_sigmask (bool, optional) – Whether to return the 3D signal mask along with the RMS.

• **kwargs – Additional arguments.

Returns:

RMS value, and optionally the signal mask.

Return type:

Quantity or tuple of Quantity