High-precision photometry for K2 Campaign 1

Huang, C. X. ORCID: https://orcid.org/0000-0003-0918-7484 and Penev, K. and Hartman, J. D. and Bakos, G. A. and Bhatti, W. and Domsa, I. and de Val-Borro, M. (2015) High-precision photometry for K2 Campaign 1. Monthly Notices of the Royal Astronomical Society, 454 (4). pp. 4159-4171. ISSN 0035-8711

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The two reaction wheel K2 mission promises and has delivered new discoveries in the stellar and exoplanet fields. However, due to the loss of accurate pointing, it also brings new challenges for the data reduction processes. In this paper, we describe a new reduction pipeline for extracting high-precision photometry from the K2 data set, and present public light curves for the K2 Campaign 1 target pixel data set. Key to our reduction is the derivation of global astrometric solutions from the target stamps, from which accurate centroids are passed on for high-precision photometry extraction. We extract target light curves for sources from a combined UCAC4 and EPIC catalogue - this includes not only primary targets of the K2 campaign 1, but also any other stars that happen to fall on the pixel stamps. We provide the raw light curves, and the products of various detrending processes aimed at removing different types of systematics. Our astrometric solutions achieve a median residual of ∼0.127 arcsec. For bright stars, our best 6.5 h precision for raw light curves is ∼20 parts per million (ppm). For our detrended light curves, the best 6.5 h precision achieved is ∼15 ppm. We show that our detrended light curves have fewer systematic effects (or trends, or red-noise) than light curves produced by other groups from the same observations. Example light curves of transiting planets and a Cepheid variable candidate, are also presented. We make all light curves public, including the raw and detrended photometry, at http://k2.hatsurveys.org.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 30 Mar 2022 02:05
Last Modified: 30 Mar 2022 02:05
Uncontrolled Keywords: methods: data analysis; techniques: photometric; surveys; astrometry; Astrophysics - Earth and Planetary Astrophysics
Fields of Research (2020): 51 PHYSICAL SCIENCES > 5101 Astronomical sciences > 510109 Stellar astronomy and planetary systems
Identification Number or DOI: https://doi.org/10.1093/mnras/stv2257
URI: http://eprints.usq.edu.au/id/eprint/47411

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