#galaxy clusters
17 papers match
Multi-branch classification of diffuse cluster radio emission
Markus Bredberg, Emma Tolley
The paper investigates machine‑learning methods, specifically scattering‑transform encoders and squeeze‑excitation attention in multi‑branch neural networks, to improve detection o…
A study of the large-scale formation in the environment of A3266: Infalling groups, filaments, and a premerger cold front
J. Dietl, A. Veronica, T. H. Reiprich +7
The paper uses eROSITA X‑ray data to map the outskirts of the galaxy cluster Abell 3266, revealing a hot X‑ray filament linking the cluster to a nearby group and showing how the cl…
HI Depletion Begins Well Beyond the Virial Radius: A FAST Stacking Study of 36 Galaxy Clusters to 5R200
Cheng Cheng, Chuan-Peng Zhang, Edo Ibar +10
The paper uses FAST and DESI data to stack HI spectra of galaxies in 36 nearby clusters, showing that neutral hydrogen content is already depleted out to five times the virial radi…
Identifying backsplash galaxies using machine learning
Roan Haggar, Elizaveta Sazonova, Cameron R. Morgan +5
The paper presents a machine‑learning model trained on The Three Hundred cluster simulations that can identify backsplash galaxies in observations, achieving about 70% purity/compl…
Supermagnified Stars in Lensing Clusters and Small-Scale Structure in the Dark Matter
Gabriel Torralba, Jordi Miralda-Escudé
The paper describes how super‑magnified stars behind galaxy‑cluster lenses can be monitored for microlensing events, providing a sensitive probe of small‑scale dark‑matter structur…
Measuring satellite galaxy subhalo masses in redMaPPer clusters with UNIONS weak lensing data
Roman Akhmetshyn, Jack Elvin-Poole, Michael J. Hudson +13
The paper measures the weak gravitational lensing signal of satellite galaxies in rich clusters using UNIONS data to estimate their subhalo masses and study tidal stripping effects…