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3D Realistic Modeling of Solar-Type Stars to Characterize the Stellar Jitter

Published online by Cambridge University Press:  20 January 2023

Irina Kitiashvili Open the ORCID record for Irina Kitiashvili [Opens in a new window] ,
Samuel Granovsky Open the ORCID record for Samuel Granovsky [Opens in a new window]  and
Alan Wray
Irina Kitiashvili
Affiliation:
NASA Ames Research Center Moffett Field, MS 258-6, Mountain View, CA, USA email: irina.n.kitiashvili@nasa.gov, alan.a.wray@nasa.gov
Samuel Granovsky
Affiliation:
NASA Ames Research Center Moffett Field, MS 258-6, Mountain View, CA, USA email: irina.n.kitiashvili@nasa.gov, alan.a.wray@nasa.gov New Jersey Institute of Technology 323 Dr Martin Luther King Jr Blvd, Newark, NJ, USA email: sg2249@njit.edu Universities Space Research Association 7178 Columbia Gateway Drive, Columbia, MD, USA
Alan Wray
Affiliation:
NASA Ames Research Center Moffett Field, MS 258-6, Mountain View, CA, USA email: irina.n.kitiashvili@nasa.gov, alan.a.wray@nasa.gov
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Abstract

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Detection of Earth-mass planets with the radial velocity method requires a precision of about 10cm/s to identify a signal caused by such a planet. At the same time, noise originating in the photospheric and subphotospheric layers of the parent star is of the order of meters per second. Understanding the physical nature of the photospheric noise (so-called stellar jitter) and characterizing it are critical for developing techniques to filter out these unwanted signals. We take advantage of current computational and technological capabilities to create 3D realistic models of stellar subsurface convection and atmospheres to characterize the photospheric jitter. We present 3D radiative hydrodynamic models of several solar-type target stars of various masses and metallicities, discuss how the turbulent surface dynamics and spectral line characteristics depend on stellar properties, and provide stellar jitter estimates for these stars.

Keywords

stars: individual (HD209458)line: profilestechniques: radial velocitiesspectroscopicmethods: numerical
Type
Contributed Paper
Information
Proceedings of the International Astronomical Union , Volume 16 , Symposium S362: The Predictive Power of Computational Astrophysics as a Discovery Tool , June 2020 , pp. 324 - 329
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
To the extent this is a work of the US Government, it is not subject to copyright protection within the United States.
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© National Aeronautics and Space Administration, 2023. Published by Cambridge University Press on behalf of International Astronomical Union

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