3 papers
astro-ph.IM2026
DeepVoid: A Deep Learning Void Detector
Sam Kumagai, Michael S. Vogeley, Miguel A. Aragon-Calvo +3
We present DeepVoid, an application of deep learning trained on a physical definition of cosmic voids to detect voids in density fields and galaxy distributions. By semantically se…
astro-ph.GA2025
Chemodynamic evidence of pristine gas accretion in the void galaxy VGS 12
Evgeniya Egorova, Kathryn Kreckel, Oleg Egorov +5
Accretion of metal-poor gas is expected to be an important channel of gas replenishment in galaxy evolution studies. However, observational evidence of this process is still relati…
astro-ph.GA2025
Hierarchical structure of the cosmic web and galaxy properties
Mariana Jaber, Marius Peper, Wojciech A. Hellwing +2
Voids possess a very complex internal structure and dynamics. Using -body simulations we study the hierarchical nature of sub-structures present in the cosmic web (CW). We use t…