54 citations · 216 across the 9 of their papers we have counts for
8 papers
Modelling stars with Gaussian Process Regression: Augmenting Stellar Model Grid
Tanda Li, Guy R. Davies, Alexander J. Lyttle +3
Grid-based modelling is widely used for estimating stellar parameters. However, stellar model grid is sparse because of the computational cost. This paper demonstrates an applicati…
TESS Data for Asteroseismology: Light Curve Systematics Correction
Mikkel N. Lund, Rasmus Handberg, Derek L. Buzasi +7
Data from the Transiting Exoplanet Survey Satellite (TESS) has produced of order one million light curves at cadences of 120 s and especially 1800 s for every ~27-day observing sec…
TESS Data for Asteroseismology: Photometry
Rasmus Handberg, Mikkel N. Lund, Timothy R. White +12
Over the last two decades, asteroseismology has increasingly proven to be the observational tool of choice for the study of stellar physics, aided by the high quality of data avail…
Hierarchically modelling Kepler dwarfs and subgiants to improve inference of stellar properties with asteroseismology
Alexander J. Lyttle, Guy R. Davies, Tanda Li +9
With recent advances in modelling stars using high-precision asteroseismology, the systematic effects associated with our assumptions of stellar helium abundance () and the mixi…
PBjam: A Python package for automating asteroseismology of solar-like oscillators
M. B. Nielsen, G. R. Davies, W. H. Ball +14
Asteroseismology is an exceptional tool for studying stars by using the properties of observed modes of oscillation. So far the process of performing an asteroseismic analysis of a…
Tess asteroseismology of the known planet host star Fornacis
M. B. Nielsen, W. H. Ball, M. R. Standing +22
The Transiting Exoplanet Survey Satellite (TESS) is observing bright known planet-host stars across almost the entire sky. These stars have been subject to extensive ground-based o…