132 citations · 2.1k across the 71 of their papers we have counts for
37 papers · 1 filter
Widespread AGN feedback in a forming brightest cluster galaxy at unveiled by JWST
Aayush Saxena, Roderik A. Overzier, Montserrat Villar-Martín +16
We present rest-frame optical spectroscopy using JWST/NIRSpec IFU for the radio galaxy TN J1338-1942 at z=4.1, one of the most luminous galaxies in the early Universe with powerful…
3D tomography of the giant Ly nebulae of 3--5 radio-loud AGN
Wuji Wang, Dominika Wylezalek, Joël Vernet +12
Ly emission nebulae are ubiquitous around high-z galaxies and are tracers of the gaseous environment on scales out to >100 kpc. High-z radio galaxies (HzRGs, type-2 radio-loud q…
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations
A. Humphrey, P. A. C. Cunha, A. Paulino-Afonso +5
In the era of huge astronomical surveys, machine learning offers promising solutions for the efficient estimation of galaxy properties. The traditional, `supervised' paradigm for t…
Optimized Spectral Energy Distribution for Seyfert Galaxies
Luc Binette, Yair Krongold, Sinhue A. R. Haro-Corzo +2
The temperature predicted by photoionization models for the Narrow Line Region of Seyfert 2 galaxies is lower than the value inferred from the observed [O III] λ4363A/λ5007A line r…
Scrutiny of a very young, metal-poor star-forming Lyα-emitter at z ~ 3.7
E. Iani, A. Zanella, J. Vernet +9
The origin of the Lyman- (Ly) emission in galaxies is a long-standing issue: despite several processes known to originate this line (e.g. AGN, star formation, cold accretion,…
Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images
Euclid Collaboration, L. Bisigello, C. J. Conselice +196
Next generation telescopes, like Euclid, Rubin/LSST, and Roman, will open new windows on the Universe, allowing us to infer physical properties for tens of millions of galaxies. Ma…