108 citations · 261 across the 9 of their papers we have counts for
9 papers
Implementation feedback of the IVOA Provenance data model
Mireille Louys, François Bonnarel, Daniel Durand +1
The IVOA Provenance Data model defines entities, agents and activities as container classes to describe the provenance of datasets, with the executed tasks and responsibilities att…
Assessment of astronomical images using combined machine learning models
Hossen Teimoorinia, J. J. Kavelaars, Stephen Gwyn +3
We present a two-component Machine Learning (ML) based approach for classifying astronomical images by data-quality via an examination of sources detected in the images and image p…
IVOA Recommendation: HiPS - Hierarchical Progressive Survey
Pierre Fernique, Mark Allen, Thomas Boch +6
This document presents HiPS, a hierarchical scheme for the description, storage and access of sky survey data. The system is based on hierarchical tiling of sky regions at finer an…
MOC - HEALPix Multi-Order Coverage map Version 1.0
Pierre Fernique, Thomas Boch, Tom Donaldson +4
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 cover…
Hierarchical progressive surveys. Multi-resolution HEALPix data structures for astronomical images, catalogues, and 3-dimensional data cubes
P. Fernique, M. G. Allen, T. Boch +8
Scientific exploitation of the ever increasing volumes of astronomical data requires efficient and practical methods for data access, visualisation, and analysis. Hierarchical sky…
IVOA Recommendation: Observation Data Model Core Components and its Implementation in the Table Access Protocol Version 1.0
Mireille Louys, Francois Bonnarel, David Schade +10
This document defines the core components of the Observation data model that are necessary to perform data discovery when querying data centers for observations of interest. It exp…