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The EXPRES Stellar Signals Project II. State of the field in disentangling photospheric velocities

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Date
01/04/2022
Author
Zhao, Lily L.
Fischer, Debra A.
Ford, Eric B.
Wise, Alex
Cretignier, Michaël
Aigrain, Suzanne
Barragan, Oscar
Bedell, Megan
Buchhave, Lars A.
Camacho, João D.
Cegla, Heather M.
Cisewski-Kehe, Jessi
Collier Cameron, Andrew
de Beurs, Zoe L.
Dodson-Robinson, Sally
Dumusque, Xavier
Faria, João P.
Gilbertson, Christian
Haley, Charlotte
Harrell, Justin
Hogg, David W.
Holzer, Parker
John, Ancy Anna
Klein, Baptiste
Lafarga, Marina
Lienhard, Florian
Maguire-Rajpaul, Vinesh
Mortier, Annelies
Nicholson, Belinda
Palumbo, Michael L.
Ramirez Delgado, Victor
Shallue, Christopher J.
Vanderburg, Andrew
Viana, Pedro T. P.
Zhao, Jinglin
Zicher, Norbert
Cabot, Samuel H. C.
Henry, Gregory W.
Roettenbacher, Rachael M.
Brewer, John M.
Llama, Joe
Petersburg, Ryan R.
Szymkowiak, Andrew E.
Funder
Science & Technology Facilities Council
Grant ID
ST/R003203/1
Keywords
QC Physics
QB Astronomy
3rd-DAS
MCP
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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 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.
Citation
Zhao , L L , Fischer , D A , Ford , E B , Wise , A , Cretignier , M , Aigrain , S , Barragan , O , Bedell , M , Buchhave , L A , Camacho , J D , Cegla , H M , Cisewski-Kehe , J , Collier Cameron , A , de Beurs , Z L , Dodson-Robinson , S , Dumusque , X , Faria , J P , Gilbertson , C , Haley , C , Harrell , J , Hogg , D W , Holzer , P , John , A A , Klein , B , Lafarga , M , Lienhard , F , Maguire-Rajpaul , V , Mortier , A , Nicholson , B , Palumbo , M L , Ramirez Delgado , V , Shallue , C J , Vanderburg , A , Viana , P T P , Zhao , J , Zicher , N , Cabot , S H C , Henry , G W , Roettenbacher , R M , Brewer , J M , Llama , J , Petersburg , R R & Szymkowiak , A E 2022 , ' The EXPRES Stellar Signals Project II. State of the field in disentangling photospheric velocities ' , Astronomical Journal , vol. 163 , no. 4 , 171 . https://doi.org/10.3847/1538-3881/ac5176
Publication
Astronomical Journal
Status
Peer reviewed
DOI
https://doi.org/10.3847/1538-3881/ac5176
ISSN
0004-6256
Type
Journal article
Rights
Copyright © 2022. The Author(s). Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Description
A.C.C. acknowledges support from the Science and Technology Facilities Council (STFC) consolidated grant number ST/R000824/1 and UKSA grant ST/R003203/1.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/25087

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