7 papers
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…
LoVoCCS. III. Third Generation Pipeline & The Hercules Supercluster
Anthony M. Englert, Shenming Fu, Ian Dell'Antonio +29
The Local Volume Complete Cluster Survey (LoVoCCS) is a volume-complete survey of over one-hundred nearby (), X-ray luminous ($L_{500} > 10^{44} \text{ erg s}^{-1}…
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…
The Importance of Being Adaptable: An Exploration of the Power and Limitations of Domain Adaptation for Simulation-Based Inference with Galaxy Clusters
Michelle Ntampaka, A. Ciprijanovic, Ana Maria Delgado +4
The application of deep machine learning methods in astronomy has exploded in the last decade, with new models showing remarkably improved performance on benchmark tasks. Not nearl…
Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling
Alan Hsu, Matthew Ho, Joyce Lin +4
We present a novel approach to reconstruct gas and dark matter projected density maps of galaxy clusters using score-based generative modeling. Our diffusion model takes in mock SZ…
Galaxy cluster characterization with machine learning techniques
Maria Sadikov, Julie Hlavacek-Larrondo, Laurence Perreault Levasseur +4
We present an analysis of the X-ray properties of the galaxy cluster population in the z=0 snapshot of the IllustrisTNG simulations, utilizing machine learning techniques to perfor…