Affiliation:
1. Department of Astronomy, Columbia University, 550 W 120th Street, New York, NY 10027, USA
2. Flatiron Institute, 162 5th Av., New York, NY 10010, USA
Abstract
ABSTRACT
We apply the weirddetector, a non-parametric signal detection algorithm based on phase dispersion minimization, in a search for low duty-cycle periodic signals in the Transiting Exoplanet Survey Satellite (TESS) photometry. Our approach, in contrast to commonly used model-based approaches specifically for flagging transits, eclipsing binaries, or other similarly periodic events, makes minimal assumptions about the shape of a periodic signal, with the goal of finding ‘weird’ signals of unexpected or arbitrary shape. In total, 248 301 TESS sources from the first-year Southern sky survey are run through the weirddetector, of which we manually inspect the top 21 500 for periodicity. To minimize false-positives, we here only report on the upper decile in terms of signal score, a sample for which we obtain 97% recall of TESS eclipsing binaries and 62% of the TOIs. In our sample, we find 377 previously unreported periodic signals, for which we make a first-pass assignment that 26 are ultra-short periods (<0.3 d), 313 are likely eclipsing binaries, 28 appear planet-like, and 10 are miscellaneous signals.
Funder
Simons Foundation
Alfred P. Sloan Foundation
Publisher
Oxford University Press (OUP)
Subject
Space and Planetary Science,Astronomy and Astrophysics
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献