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Create method (or create it in macauff) to reduce the trilegal files into chunked reduced histograms.
We can store as a .npy mapping (ra, dec) -> [histogram].
.npy
(ra, dec) -> [histogram]
Create strategy for matching a healpix pixel to the nearest trilegal chunk, represented as the (ra, dec) of the centroid of the simulated zone.
(ra, dec)
The text was updated successfully, but these errors were encountered:
This can likely re-use macauff's make_tri_counts function, inside an iteration over chosen ra, dec.
make_tri_counts
ra, dec
For the first step there is also download_trilegal_simulation here which can be called to download the files in the first place.
download_trilegal_simulation
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smcguire-cmu
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Create method (or create it in macauff) to reduce the trilegal files into chunked reduced histograms.
We can store as a
.npy
mapping(ra, dec) -> [histogram]
.Create strategy for matching a healpix pixel to the nearest trilegal chunk, represented as the
(ra, dec)
of the centroid of the simulated zone.The text was updated successfully, but these errors were encountered: