2022
DOI: 10.3847/1538-3881/ac5176
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The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities

Abstract: Measured spectral shifts due to intrinsic stellar variability (e.g., pulsations, granulation) and activity (e.g., spots, plages) are the largest source of error for extreme-precision radial-velocity (EPRV) exoplanet detection. Several methods are designed to disentangle stellar signals from true center-of-mass shifts due to planets. The Extreme-precision Spectrograph (EXPRES) Stellar Signals Project (ESSP) presents a self-consistent comparison of 22 different methods tested on the same extreme-precision spectr… Show more

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Cited by 34 publications
(12 citation statements)
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“…Efforts to mitigate the impact of stellar RV variations on exoplanet detection have found success by leveraging our understanding (albeit incomplete) of the underlying physical processes to model these signals rather than naïvely treating them as white noise. It has become commonplace, for example, to use Gaussian processes (GPs) to model stellar activity signals and disentangle them from exoplanet-induced Doppler shifts (e.g., Haywood et al 2014;Rajpaul et al 2015;Foreman-Mackey et al 2017;Gilbertson et al 2020;Langellier et al 2021;Zhao et al 2022). But this strategy is only applicable when it is feasible to obtain many observations on the timescale over which the stellar signals remain correlated.…”
Section: Introductionmentioning
confidence: 99%
“…Efforts to mitigate the impact of stellar RV variations on exoplanet detection have found success by leveraging our understanding (albeit incomplete) of the underlying physical processes to model these signals rather than naïvely treating them as white noise. It has become commonplace, for example, to use Gaussian processes (GPs) to model stellar activity signals and disentangle them from exoplanet-induced Doppler shifts (e.g., Haywood et al 2014;Rajpaul et al 2015;Foreman-Mackey et al 2017;Gilbertson et al 2020;Langellier et al 2021;Zhao et al 2022). But this strategy is only applicable when it is feasible to obtain many observations on the timescale over which the stellar signals remain correlated.…”
Section: Introductionmentioning
confidence: 99%
“…The difficulty of measuring stellar radial velocities is dependent on spectral type. For most stars of type F and later, cross-correlation of a star's spectrum with a suitable radial velocity template is a standard technique, utilizing many dozens of spectral features (Tonry & Davis 1979), with precisions now reaching tens of centimeters per second employed to find extra-solar planets (see, e.g., Wright 2018;Zhao et al 2022). Main-sequence stars of earlier types have fewer, and broader, lines, and traditionally lines are measured one by one and the results averaged (see, e.g., Niemela & Gamen 2004;Morrell et al 2014) although sometimes also by cross-correlation techniques (e.g., Gies et al 2008).…”
Section: Methodsmentioning
confidence: 99%
“…A large number of methods has been compared, to quantify detection performance [44,58] or residuals after correction without injecting planets [59]. In addition, efforts have been devoted to improve the determination of the false alarm level [37,[60][61][62][63].…”
Section: Approachesmentioning
confidence: 99%