From the 1 of 9 linked papers with an AI index.
9 papers
Early Exploration of the Scientific Discovery Space for the Habitable Worlds Observatory
Courtney D. Dressing, Danica Adams, Evelyne Alecian +324
The paper summarizes 70 science cases for the proposed NASA Habitable Worlds Observatory, outlining the observational needs across four scientific pillars and detailing required ca…
How to Craft the Right Language AI Policy For Your Research Group (Some Assembly Required)
Michelle Ntampaka, S. Burke-Spolaor, Ioana CiucÄ +14
Language AI is rapidly becoming part of the astronomy research ecosystem, prompting research teams to develop policies governing its use. But resources and advice for AI adoption a…
Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning
Ana Maria Delgado, Michelle Ntampaka, Sownak Bose +7
Properties of massive galaxy clusters, such as mass abundance and concentration, are sensitive to cosmology, making cluster statistics a powerful tool for cosmological studies. How…
A Path to an All-Sky Survey with Roman
Jiwon Jesse Han, Anirudh Chiti, Kai-Feng Chen +93
A deep, space-based, all-sky near-infrared survey carried out with the Nancy Grace Roman Space Telescope would constitute a foundational astronomical infrastructure for decades to…
amc: The Automated Mission Classifier for Telescope Bibliographies
John F. Wu, Joshua E. G. Peek, Sophie J. Miller +3
Telescope bibliographies record the pulse of astronomy research by capturing publication statistics and citation metrics for telescope facilities. Robust and scalable bibliographie…
Re-envisioning Euclid Galaxy Morphology: Identifying and Interpreting Features with Sparse Autoencoders
John F. Wu, Michael Walmsley
Sparse Autoencoders (SAEs) can efficiently identify candidate monosemantic features from pretrained neural networks for galaxy morphology. We demonstrate this on Euclid Q1 images u…