@article{74a217f4bf8b4cc9ba0226da14df7434,
title = "Removing aliases in time-series photometry",
abstract = "Ground-based, all-sky astronomical surveys are imposed with an inevitable day–night cadence that can introduce aliases in period-finding methods. We examined four different methods — three from the literature and a new one that we developed — that remove aliases to improve the accuracy of period-finding algorithms. We investigate the effectiveness of these methods in decreasing the fraction of aliased period solutions by applying them to the ZTF and the SSPDB asteroid datasets. We find that the VanderPlas method had the worst accuracy for each survey. The mask and our newly proposed window method yields the highest accuracy when averaged across both datasets. However, the Monte Carlo method had the highest accuracy for the ZTF dataset, while for SSPDB, it had lower accuracy than the baseline where none of these methods are applied. Where possible, detailed de-aliasing studies should be carried out for every survey with a unique cadence.",
keywords = "Aliasing, LSST, Light curves, Lomb–Scargle, Time series, ZTF",
author = "D. Kramer and M. Gowanlock and D. Trilling and A. McNeill and N. Erasmus",
note = "Funding Information: ZTF is a public–private partnership, with equal support from the ZTF Partnership and from the U.S. National Science Foundation through the Mid-Scale Innovations Program (MSIP). The ZTF partnership is a consortium of the following universities and institutions (listed in descending longitude): TANGO Consortium of Taiwan; Weizmann Institute of Sciences, Israel; Oskar Klein Center, Stockholm University, Sweden; Deutsches Elektronen-Synchrotron & Humboldt University, Germany; Ruhr University, Germany; Institut national de physique nucl{\'e}aire et de physique des particules, France; University of Warwick, UK; Trinity College, Dublin, Ireland; University of Maryland, College Park, USA; Northwestern University, Evanston, USA; University of Wisconsin, Milwaukee, USA; Lawrence Livermore National Laboratory, USA; IPAC, Caltech, USA; Caltech, USA. We thank the anonymous reviewer for their insightful comments and helpful feedback on our manuscript. Funding Information: We acknowledge many useful conversations with Nat Butler and John Kececioglu and with Tom Matheson and the ANTARES team. This work has significantly benefited from all of their expertise. This work has been supported in part by the Arizona Board of Regents, Regents{\textquoteright} Innovation Fund., ZTF is a public–private partnership, with equal support from the ZTF Partnership and from the U.S. National Science Foundation through the Mid-Scale Innovations Program (MSIP). The ZTF partnership is a consortium of the following universities and institutions (listed in descending longitude): TANGO Consortium of Taiwan; Weizmann Institute of Sciences, Israel; Oskar Klein Center, Stockholm University, Sweden; Deutsches Elektronen-Synchrotron & Humboldt University, Germany; Ruhr University, Germany; Institut national de physique nucl{\'e}aire et de physique des particules, France; University of Warwick, UK; Trinity College, Dublin, Ireland; University of Maryland, College Park, USA; Northwestern University, Evanston, USA; University of Wisconsin, Milwaukee, USA; Lawrence Livermore National Laboratory, USA; IPAC, Caltech, USA; Caltech, USA. We thank the anonymous reviewer for their insightful comments and helpful feedback on our manuscript. Funding Information: This work has been supported in part by the Arizona Board of Regents, Regents{\textquoteright} Innovation Fund. Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2023",
month = jul,
doi = "10.1016/j.ascom.2023.100711",
language = "English (US)",
volume = "44",
journal = "Astronomy and Computing",
issn = "2213-1337",
publisher = "Elsevier BV",
}