Closed steven-murray closed 6 years ago
From our discussion today, we need to treat the weights as stand-ins for variance (they are indicative of the variance of each of the statistically-equivalent baselines). Therefore, if the signal itself is transformed with a taper, then the total variance is summed with that same taper.
I'll put this in with the taper.
fixed in 13424f073f97de1faa498ad7988ba50a4b5bf3d4. Note that summing like this means that the weights are effectively a 2D array, rather than 3D, which means that angular_average_nd can be used directly, simplifying code considerably.
How should the weights be calculated after fourier transforming along the frequency axis? Are they merely summed? Or summed with a weight given by the taper? Or something else?