healsparse

Python implementation of sparse HEALPix maps.

HealSparse is a sparse implementation of HEALPix in Python, written for the Rubin Observatory Legacy Survey of Space and Time Dark Energy Science Collaboration (DESC). HealSparse is a pure python library that sits on top of numpy and healpy and is designed to avoid storing full sky maps in case of partial coverage, including easy reading of sub-maps. This reduces the overall memory footprint allowing maps to be rendered at arcsecond resolution while keeping the familiarity and power of healpy.

HealSparse expands on healpy and straight HEALPix maps by allowing maps of different data types, including 32- and 64-bit floats; 8-, 16-, 32-, and 64-bit integers; "wide bit masks" of arbitrary width (allowing hundreds of bits to be efficiently and conveniently stored); and numpy record arrays. Arithmetic operations between maps are supported, including sum, product, min/max, and and/or/xor bitwise operations for integer maps. In addition, there is general support for any numpy universal function.

HealSparse also includes a simple geometric primitive library, to render circles and convex polygons.

Requirements:

healsparse requires to have pre-installed the following packages:

The following package is optional but recommended for all features:

Documentation:

Read the full documentation at https://healsparse.readthedocs.io/en/latest/.

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Credits

Author: Eli Rykoff, Javier Sanchez, and the Dark Energy Science Collaboration

License

GNU General Public License v3 or later (GPLv3+)

Requires

Python >=3.7

Provides Extra

test parquet test-with-healpy astropy fitsio rustfits hdf5

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