Niamh O’Sullivan
@niamhk12.bsky.social
DPhil student at the University of Oxford. A stellar physicist pretending to be an exoplanet finder 🌟🪐🌟
So how long does it take to detect and characterise the supergranulation signal? Using the Fisher information content we show that in 23 nights we can characterise the supergranulation timescale in 10 stars, if we switch randomly between stars every 5 minutes!
July 1, 2025 at 8:14 AM
So how long does it take to detect and characterise the supergranulation signal? Using the Fisher information content we show that in 23 nights we can characterise the supergranulation timescale in 10 stars, if we switch randomly between stars every 5 minutes!
We find that the supergranulation timescale is anti-correlated with the Sun’s activity cycle. When the Sun is at solar minimum, the supergranules have a larger timescale! This means that we can’t treat supergranulation as static over the timescales of long baseline RV surveys!
July 1, 2025 at 8:12 AM
We find that the supergranulation timescale is anti-correlated with the Sun’s activity cycle. When the Sun is at solar minimum, the supergranules have a larger timescale! This means that we can’t treat supergranulation as static over the timescales of long baseline RV surveys!
We look at the HARPS-N quiet Sun RVs, derived using both SDO data and YARARA. We model the range quiet Sun RVs with a GP kernel with 2 aperiodic SHO terms and a white noise term.
July 1, 2025 at 8:10 AM
We look at the HARPS-N quiet Sun RVs, derived using both SDO data and YARARA. We model the range quiet Sun RVs with a GP kernel with 2 aperiodic SHO terms and a white noise term.