3 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
Identifying Exoplanets with Deep Learning VI. Enhancing neural network mitigation of stellar activity RV signals with additional metrics
Naomi McWilliam, Zoë L. de Beurs, Andrew Vanderburg +12
The measurement of exoplanet masses using the radial velocity (RV) technique is currently limited by stellar activity, which introduces quasiperiodic variability signals that must…
A Machine-Learning Compositional Study of Exoplanetary Material Accreted Onto Five Helium-Atmosphere White Dwarfs with
Mariona Badenas-Agusti, Siyi Xu, Andrew Vanderburg +8
We present the first application of the Machine Learning (ML) pipeline to determine the physical parameters and photospheric composition of five metal-polluted H…
Absence of a Correlation between White Dwarf Planetary Accretion and Primordial Stellar Metallicity
Sydney Jenkins, Andrew Vanderburg, Allyson Bieryla +8
Over a quarter of white dwarfs have photospheric metal pollution, which is evidence for recent accretion of exoplanetary material. While a wide range of mechanisms have been propos…
Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows
Mayeul Aubin, Carolina Cuesta-Lazaro, Ethan Tregidga +9
Advancements in space telescopes have opened new avenues for gathering vast amounts of data on exoplanet atmosphere spectra. However, accurately extracting chemical and physical pr…