Earths within Reach: Evaluation of Strategies for Mitigating Solar Variability using 3.5 years of NEID Sun-as-a-Star Observations
Eric B. Ford, Chad F. Bender, Cullen H. Blake, Arvind F. Gupta,, Shubham Kanodia, Andrea S.J. Lin, Sarah E. Logsdon, Jacob K. Luhn, Suvrath, Mahadevan, Michael L. Palumbo III, Ryan C. Terrien, Jason T. Wright, Jinglin, Zhao, Samuel Halverson, Emily Hunting, Paul Robertson

TL;DR
This study uses 3.5 years of NEID Sun-as-a-Star data to evaluate strategies for mitigating solar variability, demonstrating that advanced algorithms can significantly improve radial velocity measurements and aid in detecting Earth-like exoplanets.
Contribution
It provides a comprehensive assessment of solar variability mitigation methods using NEID data, highlighting the effectiveness of the Scalpels algorithm for improving RV precision.
Findings
NEID achieved RV stability better than 0.37 m/s over 3.5 years.
The Scalpels algorithm reduced solar RV RMS from over 2 m/s to 0.277 m/s.
Current instruments can detect Earth-mass planets with sufficient observing time.
Abstract
We present the results of Sun-as-a-star observations by the NEID Solar Telescope at WIYN Observatory, spanning January 1, 2021 through June 30, 2024. We identify 117,060 observations which are unlikely to be significantly affected by weather, hardware or major calibration issues. We describe several high-level data products being made available to the community to aid in the interpretation and inter comparisons of NEID solar observations. Solar observations demonstrate excellent performance of NEID, including radial velocity (RV) accuracy and long-term stability of better than m s over years, even though NEID was not originally designed or optimized for daytime observations of the Sun. Currently, intrinsic stellar variability is the primary barrier to detecting Earth-analog planets for most nearby, Sun-like stars. We present a comparison of the…
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Taxonomy
TopicsSolar and Space Plasma Dynamics
