Learning from optically variable stars: the OMC scientific case

  • Authors:
  • Luis Manuel Sarro;Albert Domingo;J. Miguel Mas-Hesse;Enrique Solano;Raul Gutiérrez

  • Affiliations:
  • Dpto. de Inteligencia Artificial, UNED, Madrid, Spain;LAEFF, INTA, Madrid, Spain;LAEFF, INTA, Madrid, Spain;LAEFF, INTA, Madrid, Spain;LAEFF, INTA, Madrid, Spain

  • Venue:
  • ADA'04 Proceedings of the 3rd international conference on Astronomical Data Analysis
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

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.