Welcome to MOCPy’s documentation!

MOCPy is a Python library allowing easy creation, parsing and manipulation of MOCs (Multi-Order Coverage maps).

Its code is hosted on GitHub and distributed under the BSD-3 license.

Contents:

• Install
  • Stable versions
  • From source
• User documentation
  • SMOC (a.k.a MOC): Spatial coverages
    • Introduction to Space-MOCs
    • Space-MOC creation methods
    • Useful methods
    • Other examples (operations, use-cases)
  • TMOC: Temporal coverages
    • Loading a TimeMoc from a fits file
    • Loading a TimeMoc from an astropy table
    • Filtering an astropy table with a TimeMoc
    • TimeMoc operation examples :
  • STMOC: Space & Time coverages
    • Space and time MOC
    • # Space & Time coverages
  • FMOC: Frequency coverages
    • First steps with Frequency MOCs
• API: Detailed list of all methods
  • Class overview
    • mocpy.MOC
    • mocpy.TimeMOC
    • mocpy.STMOC
    • mocpy.FrequencyMOC
    • mocpy.WCS
• Contribute
  • Setting up the environment
    • Using conda
    • Using virtualenv
  • Pre-commits setup
  • Now build package
  • Running the python tests
  • Building the documentation

What is a MOC ?

MOC is an IVOA standard enabling description of arbitrary sky regions. Based on the HEALPix sky tessellation, it maps regions on the sky into hierarchically grouped predefined cells.

MOCPy provides the MOC, TimeMOC, FrequuencyMOC, STMOC classes handling respectively the manipulation of spatial, temporal, frequency, and space-time MOCs.

As an example, here is the sky coverage of the SDSS sky survey:

(Source code, png, hires.png, pdf)

As well as its time coverage:

(Source code, png, hires.png, pdf)

• [FerniqueBochDonaldson+14]

References

[FerniqueBochDonaldson+14]

Pierre Fernique, Thomas Boch, Tom Donaldson, Daniel Durand , Wil O'Mullane, Martin Reinecke, and Mark Taylor. MOC - HEALPix Multi-Order Coverage map Version 1.0. IVOA Recommendation 02 June 2014, pages 602, Jun 2014. doi:10.5479/ADS/bib/2014ivoa.spec.0602F.

Indices and tables

• Index

• Module Index

• Search Page