TESS Data for Asteroseismology:Light-curve Systematics Correction
| Autor: | Timothy Van Reeth, Rasmus Handberg, Derek Buzasi, Mikkel N. Lund, Oliver J. Hall, Filipe Pereira, Daniel Huber, Lindsey Carboneau, Daniel R. Hey |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Pipeline (computing)
KEPLER FOS: Physical sciences Astronomy & Astrophysics 01 natural sciences Asteroseismology HOT JUPITER ASTROPY 0103 physical sciences Range (statistics) TRANSITING EXOPLANETS 010303 astronomy & astrophysics Instrumentation and Methods for Astrophysics (astro-ph.IM) Solar and Stellar Astrophysics (astro-ph.SR) Physics Earth and Planetary Astrophysics (astro-ph.EP) Science & Technology 010308 nuclear & particles physics Astronomy Astronomy and Astrophysics Light curve Exoplanet Noise VARIABILITY Amplitude Astrophysics - Solar and Stellar Astrophysics Space and Planetary Science Physical Sciences Satellite Astrophysics - Instrumentation and Methods for Astrophysics COROT SPACE MISSION Astrophysics - Earth and Planetary Astrophysics |
| Zdroj: | Lund, M N, Handberg, R, Buzasi, D L, Carboneau, L, Hall, O J, Pereira, F, Huber, D, Hey, D, Van Reeth, T & The T'DA Collaboration 2021, ' TESS Data for Asteroseismology : Light-curve Systematics Correction ', Astrophysical Journal, Supplement Series, vol. 257, no. 2, 53 . https://doi.org/10.3847/1538-4365/ac214a |
| DOI: | 10.3847/1538-4365/ac214a |
| Popis: | Data from the Transiting Exoplanet Survey Satellite (TESS) has produced of order one million light curves at cadences of 120 s and especially 1800 s for every ~27-day observing sector during its two-year nominal mission. These data constitute a treasure trove for the study of stellar variability and exoplanets. However, to fully utilize the data in such studies a proper removal of systematic noise sources must be performed before any analysis. The TESS Data for Asteroseismology (T'DA) group is tasked with providing analysis-ready data for the TESS Asteroseismic Science Consortium, which covers the full spectrum of stellar variability types, including stellar oscillations and pulsations, spanning a wide range of variability timescales and amplitudes. We present here the two current implementations for co-trending of raw photometric light curves from TESS, which cover different regimes of variability to serve the entire seismic community. We find performance in terms of commonly used noise statistics to meet expectations and to be applicable to a wide range of different intrinsic variability types. Further, we find that the correction of light curves from a full sector of data can be completed well within a few days, meaning that when running in steady-state our routines are able to process one sector before data from the next arrives. Our pipeline is open-source and all processed data will be made available on TASOC and MAST. 27 pages, 15 figures, accepted for publication in The Astrophysical Journal Supplement Series |
| Databáze: | OpenAIRE |
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