Learning from optically variable stars: the OMC scientific case

Abstract

In this work we present ongoing lines of research carried out by the Group of Operations and Archives at LAEFF (Laboratory for Space Astrophysics and Fundamental Physics) in order to provide “intelligent” tools for the scientific exploitation of the astronomical archive data provided by its Scientific Data Center. We focus here in the problems of detecting non periodic variability and classifying periodic light curves in the ever increasing archive of the Optical Moniting Camera (hereafter OMC) on board INTEGRAL.

Affiliations

Dpto. de Inteligencia Artificial (UNED), Madrid, Spain

LAEFF–INTA, Madrid, Spain

Conference

Publication date: April 2004

Publication date (Print): April 2004

Pages: 1-6

ID: 10.14236/ewic/ADA-III2004.4

Copyright statement: © Luis Manuel Sarro et al. Published by BCS Learning and Development Ltd. ADA-III - Astronomical Data Analysis III Conference, Sant' Agata sui due Golfi, Italy

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: ADA-III - Astronomical Data Analysis III Conference

Conference acronym: ADA

Conference number: 3

Conference location: Sant' Agata sui due Golfi, Italy

Conference date: 29 April - 1 May 2004

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Astronomical Data Analysis

Product

Product Information: 1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/ADA-III2004.4

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing