An observational correlation between stellar brightness variations and surface gravity
Fabienne A. Bastien (1), Keivan G. Stassun (1,2), Gibor Basri (3),, Joshua Pepper (4,1), ((1) Vanderbilt University, (2) Fisk University, (3) UC, Berkeley, (4) Lehigh University)

TL;DR
This study finds a correlation between stellar brightness variations and surface gravity, enabling gravity estimation with high precision using photometric data for a large sample of stars.
Contribution
It demonstrates that brightness variations on timescales of hours can be used to estimate stellar surface gravity with less than 25% uncertainty, leveraging archival photometric data.
Findings
Brightness variations correlate with surface gravity.
Gravity can be estimated with <25% precision from brightness data.
Applicable to stars with specific temperature and gravity ranges.
Abstract
Surface gravity is one of a star's basic properties, but it is difficult to measure accurately, with typical uncertainties of 25-50 per cent if measured spectroscopically and 90-150 per cent photometrically. Asteroseismology measures gravity with an uncertainty of about two per cent but is restricted to relatively small samples of bright stars, most of which are giants. The availability of high-precision measurements of brightness variations for >150,000 stars provides an opportunity to investigate whether the variations can be used to determine surface gravities. The Fourier power of granulation on a star's surface correlates physically with surface gravity; if brightness variations on timescales of hours arise from granulation, then such variations should correlate with surface gravity. Here we report an analysis of archival data that reveals an observational correlation between…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
