hera_sim.sigchain.apply_gains¶

hera_sim.sigchain.apply_gains(vis: float | ndarray, gains: dict[int, float | numpy.ndarray], bl: tuple[int, int]) → ndarray[source]¶

Apply antenna-based gains to a visibility.

Parameters:

vis – The visibilities of the given baseline as a function of frequency.
gains – Dictionary where keys are antenna numbers and values are arrays of gains as a function of frequency.
bl – 2-tuple of integers specifying the antenna numbers in the particular baseline.

Returns:

vis – The visibilities with gains applied.