Sparse healpix maps and geometry library
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
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
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.
healsparse requires to have pre-installed the following packages:
The following package is optional but recommended for all features:
Read the full documentation at https://healsparse.readthedocs.io/en/latest/.
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