masking function issue with subhalo models about halotools HOT 3 CLOSED

Hi @mcp74 I think the reason the masking function never got implemented for the case of subhalo-based models was just because it seemed comparatively simpler to simply apply a mask to the galaxy population after the fact. So, for example, would your use-case support the following workaround?

>>> model.populate_mock(halocat = halocat, enforce_PBC = False)
>>> mask = f(model.mock.galaxy_table)
>>> masked_galaxies = model.mock.galaxy_table[mask]

from halotools.

Hi @aphearin, yes, that would work. I was looking into the masking function because it would be faster/more efficient to populate a smaller subvolume for each each model realization rather than populating the entire catalog. But I suppose it'd be the same to first populate, and then mask/compute the statistics in subvolumes. So that works.
Thanks for the reply!

from halotools.

No problem! Glad this workaround seems like it won't be too much of a hassle. Let me know how it goes in case you hit any snags.

from halotools.