Skysurveys, Light Curves and Statistical Challenges

G. Jogesh Babu, Ashish Mahabal

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)506-527
Number of pages22
JournalInternational Statistical Review
Volume84
Issue number3
DOIs
StatePublished - Dec 1 2016

Fingerprint

Curve
Atlas
Astronomy
Brightness
Cosmology
Small Sample
Time series
Methodology
Range of data
Object
Small sample

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

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Skysurveys, Light Curves and Statistical Challenges. / Babu, G. Jogesh; Mahabal, Ashish.

In: International Statistical Review, Vol. 84, No. 3, 01.12.2016, p. 506-527.

Research output: Contribution to journalArticle

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