101 citations · 597 across the 16 of their papers we have counts for
Showing astro-ph.IMShow all
2 papers · 1 filter
astro-ph.IM2024★ 1 cited
TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results
Ehsan, Gharib-Nezhad, Natasha E. Batalha +4
We are on the verge of a revolutionary era in space exploration, thanks to advancements in telescopes such as the James Webb Space Telescope (\textit{JWST}). High-resolution, high…
astro-ph.IM2024★ 27 cited
Data availability and requirements relevant for the Ariel space mission and other exoplanet atmosphere applications
Katy L. Chubb, Séverine Robert, Clara Sousa-Silva +52
The goal of this white paper is to provide a snapshot of the data availability and data needs primarily for the Ariel space mission, but also for related atmospheric studies of exo…