7 citations · 8 across the 9 of their papers we have counts for
7 papers · 1 filter
Prevalence of radio Active Galactic Nuclei in galaxy groups since z=3.5 in the COSMOS-Web field
F. Ubertosi, I. Delvecchio, I. Prandoni +30
Radio active galactic nuclei (AGN) are key tracers of kinetic feedback from supermassive black holes. Although the dependence of their triggering on host stellar mass is well known…
COSMOS-Web: does halo mass alone shape the clustering of star-forming and quiescent galaxies?
Louise Paquereau, Clotilde Laigle, Henry Joy McCracken +29
While stellar mass correlates strongly with halo mass, it remains unclear whether halo mass alone governs galaxy star-formation activity, or whether secondary halo properties and e…
Reducing the Dimensions of AGN Lightcurve Manifolds
Shoubaneh Hemmati, Jessica Krick, Daniel Stern +10
The Active Galactic Nuclei (AGN) glossary is vast and complex. Depending on selection method, observing wavelength, and brightness, AGNs are assigned distinct labels, yet the relat…
COSMOS-Web: Estimating Physical Parameters of Galaxies Using Self-Organizing Maps
Fatemeh Abedini, Ghassem Gozaliasl, Akram Hasani Zonoozi +38
The COSMOS-Web survey, with its unparalleled combination of multiband data, notably, near-infrared imaging from JWST's NIRCam (F115W, F150W, F277W, and F444W), provides a transform…
Selection of Dwarf Galaxies Hosting AGNs: A Measure of Bias and Contamination using Unsupervised Machine Learning Techniques
Sogol Sanjaripour, Archana Aravindan, Gabriela Canalizo +4
Identifying AGNs in dwarf galaxies is critical for understanding black hole formation but remains challenging due to their low luminosities, low metallicities, and star formation-d…
Searching for Quiescent Galaxies over in JWST Surveys Using Manifold Learning
Alexander de la Vega, Mitchell D. Babcock, Bahram Mobasher +5
Quiescent galaxies over are rare and puzzling. They formed and quenched within two billion years and simulations routinely struggle to predict their observed abundances. De…
Application of Manifold Learning to Selection of Different Galaxy Populations and Scaling Relation Analysis
Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher +8
The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional dat…