deb_control_files:
- control
- md5sums
deb_fields:
Architecture: all
Depends: python3-pymoc, python3-tk, python3-healpy, python3:any
Description: |-
Python Multi-Order Coverage maps tool for Virtual Observatory
'pymoctool' is a command-line Python-based library for manipulating
Multi-Order Coverage maps (MOCs).
.
Frequently astronomical survey catalogues or images are sparse and
cover only a small part of the sky. In a Multi-Order Coverage map
the extent of data in a particular dataset is cached as a
pre-calculated mask image. The hierarchical nature enables fast
boolean operations in image space, without needing to perform complex
geometrical calculations. Services such as VizieR generally offer the
MOC masks, allowing a faster experience in graphical applications
such as Aladin, or for researchers quickly needing to locate which
datasets may contain overlapping coverage.
.
The MOC mask image itself is tessellated and stored in NASA HealPix
format, encoded inside a FITS image container. Using the HealPix
(Hierarchical Equal Area isoLatitude Pixelization) tessellation
method ensures that more precision (pixels) in the mask are available
when describing complex shapes such as approximating survey or
polygon edges, while only needing to store a single big cell/pixel
when an coverage is either completely inside, or outside of the mask.
Catalogues can be rendered on the mask as circles.
.
It is written in Python and uses the PyMOC library.
Homepage: https://github.com/grahambell/pymoc
Installed-Size: '17'
Maintainer: Debian Astro Team <debian-astro-maintainers@lists.alioth.debian.org>
Package: pymoctool
Priority: optional
Section: science
Source: pymoc
Version: 0.5.0-5
srcpkg_name: pymoc
srcpkg_version: 0.5.0-5