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VARTOOLS: A program for analyzing astronomical time-series data

Author(s): Hartman, Joel D.; Bakos, Gaspar Aron

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dc.contributor.authorHartman, Joel D.-
dc.contributor.authorBakos, Gaspar Aron-
dc.date.accessioned2019-04-10T19:31:17Z-
dc.date.available2019-04-10T19:31:17Z-
dc.date.issued2016-10en_US
dc.identifier.citationHartman, JD, Bakos, GÁ. (2016). VARTOOLS: A program for analyzing astronomical time-series data. Astronomy and Computing, 17 (1 - 72. doi:10.1016/j.ascom.2016.05.006en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr15d89-
dc.description.abstractThis paper describes the Vartools program, which is an open-source command-line utility, written in C, for analyzing astronomical time-series data, especially light curves. The program provides a general-purpose set of tools for processing light curves including signal identification, filtering, light curve manipulation, time conversions, and modeling and simulating light curves. Some of the routines implemented include the Generalized Lomb–Scargle periodogram, the Box-Least Squares transit search routine, the Analysis of Variance periodogram, the Discrete Fourier Transform including the CLEAN algorithm, the Weighted Wavelet Z-Transform, light curve arithmetic, linear and non-linear optimization of analytic functions including support for Markov Chain Monte Carlo analyses with non-trivial covariances, characterizing and/or simulating time-correlated noise, and the TFA and SYSREM filtering algorithms, among others. A mechanism is also provided for incorporating a user’s own compiled processing routines into the program. Vartools is designed especially for batch processing of light curves, including built-in support for parallel processing, making it useful for large time-domain surveys such as searches for transiting planets. Several examples are provided to illustrate the use of the program.en_US
dc.format.extent1 - 72en_US
dc.language.isoen_USen_US
dc.relation.ispartofAstronomy and Computingen_US
dc.rightsFinal published version. This is an open access article.en_US
dc.titleVARTOOLS: A program for analyzing astronomical time-series dataen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1016/j.ascom.2016.05.006-
dc.date.eissued2016-05-21en_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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