Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Jogesh G. Babu, Ashish Mahabal
Title: Using R-based VOStat as a Low-Resolution Spectrum Analysis Tool
Abstract: We describe here an online software suite VOStat written mainly for the Virtual Observatory, a novel structure in which astronomers share terabyte scale data. Written mostly in the public-domain statistical computing language and environment R, it can do a variety of statistical analysis on multidimensional, multi-epoch data with errors. Included are techniques which allow astronomers to start with multi-color data in the form of low-resolution spectra and select special kinds of sources in a variety of ways including color outliers. Here we describe the tool and demonstrate it with an example from Palomar-QUEST, a synoptic sky survey.

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Paper: Using R-based VOStat as a Low-Resolution Spectrum Analysis Tool     Download PDF (Downloads: 4686)
DOI: 10.18637/jss.v018.i11

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Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.