MOC - HEALPix Multi-Order Coverage map Version 1.0
Pierre Fernique, Thomas Boch, Tom Donaldson, Daniel Durand, Wil, O'Mullane, Martin Reinecke, Mark Taylor
TL;DR
The paper introduces MOC, a method using HEALPix tessellation to efficiently represent and compare arbitrary sky regions hierarchically, enabling fast coverage map comparisons.
Contribution
It presents a novel hierarchical sky region representation method (MOC) based on HEALPix, improving comparison speed and flexibility for astronomical coverage maps.
Findings
Enables rapid comparison of sky coverage maps
Provides a hierarchical, flexible sky region representation
Improves efficiency over previous methods
Abstract
This document describes the Multi-Order Coverage map method (MOC) to specify arbitrary sky regions. The goal is to be able to provide a very fast comparison mechanism between coverage maps. The mechanism is based on the HEALPix sky tessellation algorithm. It is essentially a simple way to map regions of the sky into hierarchically grouped predefined cells.
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