The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities

<jats:title>Abstract</jats:title> <jats:p>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 detectio...

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Main Author: Vanderburg, Andrew
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:English
Published: American Astronomical Society 2022
Online Access:https://hdl.handle.net/1721.1/142258
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author Vanderburg, Andrew
author2 Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
author_facet Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Vanderburg, Andrew
author_sort Vanderburg, Andrew
collection MIT
description <jats:title>Abstract</jats:title> <jats:p>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 spectroscopic data from EXPRES. Methods derived new activity indicators, constructed models for mapping an indicator to the needed radial-velocity (RV) correction, or separated out shape- and shift-driven RV components. Since no ground truth is known when using real data, relative method performance is assessed using the total and nightly scatter of returned RVs and agreement between the results of different methods. Nearly all submitted methods return a lower RV rms than classic linear decorrelation, but no method is yet consistently reducing the RV rms to sub-meter-per-second levels. There is a concerning lack of agreement between the RVs returned by different methods. These results suggest that continued progress in this field necessitates increased interpretability of methods, high-cadence data to capture stellar signals at all timescales, and continued tests like the ESSP using consistent data sets with more advanced metrics for method performance. Future comparisons should make use of various well-characterized data sets—such as solar data or data with known injected planetary and/or stellar signals—to better understand method performance and whether planetary signals are preserved.</jats:p>
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spelling mit-1721.1/1422582023-12-08T18:21:38Z The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities Vanderburg, Andrew Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Massachusetts Institute of Technology. Department of Physics MIT Kavli Institute for Astrophysics and Space Research <jats:title>Abstract</jats:title> <jats:p>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 spectroscopic data from EXPRES. Methods derived new activity indicators, constructed models for mapping an indicator to the needed radial-velocity (RV) correction, or separated out shape- and shift-driven RV components. Since no ground truth is known when using real data, relative method performance is assessed using the total and nightly scatter of returned RVs and agreement between the results of different methods. Nearly all submitted methods return a lower RV rms than classic linear decorrelation, but no method is yet consistently reducing the RV rms to sub-meter-per-second levels. There is a concerning lack of agreement between the RVs returned by different methods. These results suggest that continued progress in this field necessitates increased interpretability of methods, high-cadence data to capture stellar signals at all timescales, and continued tests like the ESSP using consistent data sets with more advanced metrics for method performance. Future comparisons should make use of various well-characterized data sets—such as solar data or data with known injected planetary and/or stellar signals—to better understand method performance and whether planetary signals are preserved.</jats:p> 2022-05-03T18:18:54Z 2022-05-03T18:18:54Z 2022-04-01 2022-05-03T18:12:48Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/142258 Vanderburg, Andrew. 2022. "The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities." The Astronomical Journal, 163 (4). en 10.3847/1538-3881/ac5176 The Astronomical Journal Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0 application/pdf American Astronomical Society American Astronomical Society
spellingShingle Vanderburg, Andrew
The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
title The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
title_full The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
title_fullStr The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
title_full_unstemmed The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
title_short The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
title_sort expres stellar signals project ii state of the field in disentangling photospheric velocities
url https://hdl.handle.net/1721.1/142258
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