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Using R-based VOStat as a low resolution spectrum analysis tool

Babu, Jogesh G. and Mahabal, Ashish A. (2007) Using R-based VOStat as a low resolution spectrum analysis tool. Journal of Statistical Software, 18 (11). pp. 1-12. ISSN 1548-7660. https://resolver.caltech.edu/CaltechAUTHORS:BABjss07

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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.


Item Type:Article
Additional Information:Link to the VOStat online service for statistics which is used in the paper. Special Volume on Spectroscopy and Chemometrics in R, Katharine M. Mullen and Ivo H.M. van Stokkum, Guest Editors. Journal of Statistical Software, Volume 18, 2007, Issue 1 http://www.jstatsoft.org/index.php?vol=18.
Subject Keywords:Virtual Observatory, color-color plot, clustering, VOStat, Outliers
Issue or Number:11
Record Number:CaltechAUTHORS:BABjss07
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:BABjss07
Alternative URL:http://www.vostat.org
Official Citation:Babu G. J., Mahabal Ashish (2007), Journal of Statistical Software, 18, 11, 1. http://www.jstatsoft.org/counter.php?id=187&url=v18/i11/v18i11.pdf&ct=1
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:7710
Collection:CaltechAUTHORS
Deposited By: Ashish Mahabal
Deposited On:16 Jul 2007
Last Modified:02 Oct 2019 23:44

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