solve_antenna_gains_itsubs_scalar

ska_sdp_func_python.calibration.solvers.solve_antenna_gains_itsubs_scalar(gain, gwt, x, xwt, niter=200, tol=1e-06, phase_only=True, damping=0.5, refant=0, refant_sort=None)

Solve for the antenna gains.

x(antenna2, antenna1) = gain(antenna1) conj(gain(antenna2))

This uses an iterative substitution algorithm due to Larry D’Addario c 1980’ish (see ThompsonDaddario1982 Appendix 1). Used in the original VLA Dec-10 Antsol.

Parameters:

• gain – gains

• gwt – gain weight

• x – Equivalent point source visibility[nants, nants, …]

• xwt – Equivalent point source weight [nants, nants, …]

• niter – Maximum number of iterations

• tol – tolerance on solution change

• phase_only – Do solution for only the phase? (default True)

• refant – Reference antenna for phase (default=0)

• refant_sort – Sorted list of reference antenna

• damping – Damping parameter

Returns:

gain [nants, …], weight [nants, …]