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

G. Jogesh Babu, Ashish Mahabal

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalJournal of Statistical Software
Issue number11
StatePublished - Jan 2007

All Science Journal Classification (ASJC) codes

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'Using R-based VOStat as a low-resolution spectrum analysis tool'. Together they form a unique fingerprint.

Cite this