Arnaud de Mattia

Sorry for the delay, The line you quote (6ab5a06#diff-bf846022d2da880aa1441037073fa99e26bdde9b7b720c4cc2e15504a3d95aa4R571) has been reverted back in ede93aac7abb9fe4ff829f6006480fbc5896d6a0. If compressed is True then there is no mu < 0 values => that depends...

Hi, Indeed, this is probably just the effect of low (k, mu) sampling at k < a couple of times the fundamental frequency. This can be forward-modelled, by multiplying the...

Hi, As we are there, I noticed some time ago that: ra = numpy.array([0.,1.,2.]) dec = numpy.array([0.,0.,0.]) labels = FiberCollisions(ra,dec,collision_radius=1.5,seed=None).labels print labels['Collided'].compute() prints [0 0 0], while one would expect...

@manodeep well, I'd think the weighted version would be the most intuitive convention for the separation average ; this is the definition we will use in DESI --- though we...

To me this seems like a good idea. I had weighted average separation implemented upon the current master version in https://github.com/adematti/Corrfunc/tree/separation-avg. Yet, this branch does not allow for the option...