A SYSTEMATIC SEARCH FOR TRANSITING PLANETS IN THE K2 DATA

Daniel Foreman-Mackey; Benjamin T. Montet; David W. Hogg; Timothy D. Morton; Dun Wang; Bernhard Schölkopf

doi:10.1088/0004-637X/806/2/215

A SYSTEMATIC SEARCH FOR TRANSITING PLANETS IN THE K2 DATA

Daniel Foreman-Mackey, Benjamin T. Montet, David W. Hogg, Timothy D. Morton, Dun Wang, Bernhard Schölkopf

Research output: Contribution to journal › Article › peer-review

Abstract

Photometry of stars from the K2 extension of NASA's Kepler mission is afflicted by systematic effects caused by small (few-pixel) drifts in the telescope pointing and other spacecraft issues. We present a method for searching K2 light curves for evidence of exoplanets by simultaneously fitting for these systematics and the transit signals of interest. This method is more computationally expensive than standard search algorithms but we demonstrate that it can be efficiently implemented and used to discover transit signals. We apply this method to the full Campaign 1 data set and report a list of 36 planet candidates transiting 31 stars, along with an analysis of the pipeline performance and detection efficiency based on artificial signal injections and recoveries. For all planet candidates, we present posterior distributions on the properties of each system based strictly on the transit observables.

Original language	English (US)
Article number	215
Journal	Astrophysical Journal
Volume	806
Issue number	2
DOIs	https://doi.org/10.1088/0004-637X/806/2/215
State	Published - Jun 20 2015

Keywords

catalogs
methods: data analysis
methods: statistical
planetary systems
stars: statistics

ASJC Scopus subject areas

Astronomy and Astrophysics
Space and Planetary Science

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10.1088/0004-637X/806/2/215

Cite this

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title = "A SYSTEMATIC SEARCH FOR TRANSITING PLANETS IN THE K2 DATA",

abstract = "Photometry of stars from the K2 extension of NASA's Kepler mission is afflicted by systematic effects caused by small (few-pixel) drifts in the telescope pointing and other spacecraft issues. We present a method for searching K2 light curves for evidence of exoplanets by simultaneously fitting for these systematics and the transit signals of interest. This method is more computationally expensive than standard search algorithms but we demonstrate that it can be efficiently implemented and used to discover transit signals. We apply this method to the full Campaign 1 data set and report a list of 36 planet candidates transiting 31 stars, along with an analysis of the pipeline performance and detection efficiency based on artificial signal injections and recoveries. For all planet candidates, we present posterior distributions on the properties of each system based strictly on the transit observables.",

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AU - Foreman-Mackey, Daniel

AU - Montet, Benjamin T.

AU - Hogg, David W.

AU - Morton, Timothy D.

AU - Wang, Dun

AU - Schölkopf, Bernhard

PY - 2015/6/20

Y1 - 2015/6/20

N2 - Photometry of stars from the K2 extension of NASA's Kepler mission is afflicted by systematic effects caused by small (few-pixel) drifts in the telescope pointing and other spacecraft issues. We present a method for searching K2 light curves for evidence of exoplanets by simultaneously fitting for these systematics and the transit signals of interest. This method is more computationally expensive than standard search algorithms but we demonstrate that it can be efficiently implemented and used to discover transit signals. We apply this method to the full Campaign 1 data set and report a list of 36 planet candidates transiting 31 stars, along with an analysis of the pipeline performance and detection efficiency based on artificial signal injections and recoveries. For all planet candidates, we present posterior distributions on the properties of each system based strictly on the transit observables.

AB - Photometry of stars from the K2 extension of NASA's Kepler mission is afflicted by systematic effects caused by small (few-pixel) drifts in the telescope pointing and other spacecraft issues. We present a method for searching K2 light curves for evidence of exoplanets by simultaneously fitting for these systematics and the transit signals of interest. This method is more computationally expensive than standard search algorithms but we demonstrate that it can be efficiently implemented and used to discover transit signals. We apply this method to the full Campaign 1 data set and report a list of 36 planet candidates transiting 31 stars, along with an analysis of the pipeline performance and detection efficiency based on artificial signal injections and recoveries. For all planet candidates, we present posterior distributions on the properties of each system based strictly on the transit observables.

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KW - planetary systems

KW - stars: statistics

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A SYSTEMATIC SEARCH FOR TRANSITING PLANETS IN THE K2 DATA

Abstract

Keywords

ASJC Scopus subject areas

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