Luis Manuel Sarro 1 , Albert Domingo 2 , J. Miguel Mas-Hesse 2 , Enrique Solano 2 , Raul Gutiérrez 2
April 2004
ADA-III - Astronomical Data Analysis III Conference (ADA)
Astronomical Data Analysis
29 April - 1 May 2004
Artificial Neural Networks, Bayesian Methods, Variable stars
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.
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/