Unsigned magnetic flux as a proxy for radial-velocity variations in sun-like stars

This is the final version. Available from IOP Publishing via the DOI in this record. The research data supporting this publication (data products derived from SDO/HMI images, S-index data from Mount Wilson Observatory and HARPS-N, and TSI data from SORCE) are openly available from the University of Exeter’s institutional repository at https://doi.org/10.24378/exe.4086. The underlying SDO/HMI data are available publicly at http://hmi.stanford.eduA major obstacle to detecting and characterizing long-period, low-mass exoplanets is the intrinsic radial-velocity (RV) variability of host stars. To better understand RV variability, we estimate disk-averaged RV variations of the Sun over its magnetic cycle, from the Fe i line observed by SDO/HMI, using a physical model for rotationally modulated magnetic activity that was previously validated against HARPS-N solar observations. We estimate the unsigned magnetic flux and show that a linear fit to it reduces the rms of RV variations by 62%, i.e., a factor of 2.6. We additionally apply the FF? method, which predicts RV variations based on a star's photometric variations. At cycle maximum, we find that additional processes must be at play beyond suppression of convective blueshift and velocity imbalances resulting from brightness inhomogeneities, in agreement with recent studies of RV variations. By modeling RV variations over the magnetic cycle using a linear fit to the unsigned magnetic flux, we recover injected planets at a period of ?300 days with RV semi-amplitudes down to 0.3 m s-1. To reach 0.1 m s-1, we will need to identify and model additional phenomena that are not well traced by Bobsl or FF. This study motivates ongoing and future efforts to develop observation and analysis techniques to measure the unsigned magnetic flux at high precision in slowly rotating, relatively inactive stars like the Sun. We conclude that the unsigned magnetic flux is an excellent proxy for rotationally modulated, activity-induced RV variations, and could become key to confirming and characterizing Earth analogs.NASAScience and Technology Facilities CouncilNASAScience and Technology Facilities CouncilNASASmithsonian InstitutionKavli Institut