add option per_r_par to picca.utils.smooth_cov
if per_r_par=True (False by default), the correlation coefficients are averaged per (rpar,delta_rpar,delta_rperp) and not per (delta_rpar,delta_rperp).
add option --smooth-per-r-par to picca_export.py
This is useful for some correlation functions where the default scheme is not accurate and can lead to non positive matrices.
For instance SIV and CIV side bands auto-correlations, or the lyb x lya cross-correlation.
This is useful for some correlation functions where the default scheme is not accurate and can lead to non positive matrices. For instance SIV and CIV side bands auto-correlations, or the lyb x lya cross-correlation.
Example: