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Comparing and Automatically Optimizing the Performance of Systematic Error Correctors for TESS Light CurvesAccurate and precise removal of systematic errors from TESS light curves (lcs) is critical for exoplanet, stellar, and asteroseismology studies•Various approaches exist to correct for systematics while preserving intrinsic stellar variability (Luger et al. 2016, 2018; Hedges et al. 2021; Smith et al. 2012; Stumpe et al. 2014; Aigrain et al. 2017)•However, no comprehensive analyseshave been carried out to properly compare these approaches and determine their validity on different target types in both an individual and statistical manner•Current correctors have been usually demonstrated on their own and on limited sets of hand-picked targets•To apply these corrections more generally, it is important to compare multiple correctors on larger samples•We are particularly interested in the ability to remove scattered light contaminationfrom the Earth and the Moon, which is a key systematic for TESS
Document ID
20240009393
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
David Rapetti
(UNIVERSITIES SPACE RESEARCH ASSN)
Jon Jenkins
(Ames Research Center Mountain View, United States)
Joseph Twicken
(Search for Extraterrestrial Intelligence Mountain View, United States)
Douglas Caldwell
(Search for Extraterrestrial Intelligence Mountain View, United States)
Date Acquired
July 23, 2024
Subject Category
Astrophysics
Meeting Information
Meeting: TESS Science Conference III
Location: Cambridge MA
Country: US
Start Date: July 29, 2024
End Date: August 2, 2024
Sponsors: Massachusetts Institute of Technology
Funding Number(s)
OTHER: NNA16BD14C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
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