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Skysurveys, Light Curves and Statistical Challenges

Babu, G. Jogesh and Mahabal, Ashish (2016) Skysurveys, Light Curves and Statistical Challenges. International Statistical Review, 84 (3). pp. 506-527. ISSN 0306-7734.

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Research in astronomy is undergoing a profound transformation from the study of small samples to the analysis of large-scale digital surveys of the sky. Ever larger amounts of data and better statistical techniques are being used to address a vast range of astronomical problems, from near-by asteroids to universe-wide cosmology. There is a huge need for new methodology development to address petabyte-sized datasets of images, atlases with millions of spectra, multivariate catalogues and time series with billions of objects. The focus of this article is on the analysis of light-curves (i.e. the variation of source brightness as a function of time). A description of the importance of the problem and the techniques already being used is given. The field is ripe with many statistical and computational challenges.

Item Type:Article
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Mahabal, Ashish0000-0003-2242-0244
Additional Information:© 2015 The Authors. International Statistical Review © 2015 International Statistical Institute. Issue online: 11 November 2016; Version of record online: 29 September 2015; Manuscript Accepted: 17 August 2015; Manuscript Revised: 30 June 2015; Manuscript Received: 19 September 2014. Funded by: NSF Grant Numbers: AST-1047586, AST-0909182, AST-1313422, IIS-1118041, 1066293
Funding AgencyGrant Number
Subject Keywords:Classification; astrostatistics; time-domain astronomy; data cubes; feature selection
Issue or Number:3
Record Number:CaltechAUTHORS:20170104-111519896
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Official Citation:Babu, G. J., and Mahabal, A. (2016) Skysurveys, Light Curves and Statistical Challenges. International Statistical Review, 84: 506–527. doi: 10.1111/insr.12118
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73206
Deposited By: Tony Diaz
Deposited On:04 Jan 2017 19:21
Last Modified:26 Nov 2019 11:15

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