Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
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Updated
May 23, 2024 - Python
Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
BSD-licensed HEALPix for Astropy - maintained by @astrofrog and @lpsinger
HERMES is a publicly available computational framework for the line of sight integration over galactic radiative processes which creates sky maps in the HEALPix-compatibile format.
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Pynkowski is a Python package to compute Minkowski Functionals, as well as their expected values for different fields.
Handle and Analyse Spherical, HEALPix and Cosmic Microwave Background data on a HEALPix grid.
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Pycsou extension module for linear inverse problems involving signals defined on non Euclidean domains represented as graphs.
Regrid a HEALPIX FITS file to target FITS image
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Algorithm for planning observations of the LIGO-Virgo-KAGRA localization region
Pycsou extension module for linear inverse problems involving signals defined on the sphere.
An experimental implement of Conv1d on HEALPix array
Those notebooks are examples of how to get MOC data from VESPA in Python and to manipulate it (union, intersection...).
A Hemispherical Comparison code using HEALPiX and Kolmogorov–Smirnov test for probing isotropy
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