changes delta sigma cut

Correct delta sigma cut. The delta sigma cut consist on comparing the sigma from a segment with that from adjacent segments and if there exists a difference larger than a certain threshold (we choose 0.2) then the segment is flagged as "bad":

Numerator: Sliding_sigma_correct_alpha * sliding_bias_factor - naive_sigma_correct_alpha * naive_bias_factor
Denominator: Sliding_sigma_correct_alpha * sliding_bias_factor
Segment removed if: abs(Numerator)/denominator >= dsc

The sliding and naive sigmas are calculated starting with the function calculate_point_estimate_sigma_spectra. This function calculates S_alpha, given by

This S_alpha is then used to compute sigma^2 as

The inverse of sigma^2 is then computed to get the naive and sliding sensitivity integrands:

Finally, performing the square root of the inverse of this result is our final sliding or naive sigma:

The bias factors are computed with calc_bias from util.py