get_covariance

sofia_redux.scan.integration.integration_numba_functions.get_covariance(frame_data, frame_valid, frame_weight, channel_flags, channel_weight, sample_flags, frame_flags, source_flags)

Return the channel covariance.

Parameters:

frame_datanumpy.ndarray (float)

The frame data of shape (n_frames, all_channels).

frame_validnumpy.ndarray (bool)

A mask of shape (n_frames,) where False excludes a frame from processing.

frame_weightnumpy.ndarray (float)

The frame relative weights of shape (n_frames,).

channel_flagsnumpy.ndarray (int)

An integer mask of shape (all_channels,) where any non-zero value will exclude that channel from inclusion.

channel_weightnumpy.ndarray (float)

The channel weights of shape (all_channels,).

sample_flagsnumpy.ndarray (int)

A mask of integer flags for each frame value of shape (n_frames, all_channels).

frame_flagsnumpy.ndarray (int)

The frame flags of shape (n_frames,).

source_flagsint

The flag indicating that a frame should not be included due to having this associated flag.

Returns:

covariancenumpy.ndarray (float)

The covariance matrix of shape (all_channels, all_channels).