16 citations · 23 across the 6 of their papers we have counts for
6 papers
The incidence of eROSITA X-ray AGN in the local Universe: from dwarf to massive galaxies
Z. Igo, A. Merloni, A. Georgakakis +22
Combining deep, wide-area X-ray surveys with multi-wavelength catalogues provides insights into rare, highly-accreting AGN and low-mass galaxies at low redshift, the latter potenti…
Changing-Look Active Galactic Nuclei in SDSS-V: Host-Galaxy Properties and Black-Hole Scaling Relations
Grisha Zeltyn, Benny Trakhtenbrot, Michael Eracleous +23
Changing-look active galactic nuclei (CL-AGNs) exhibit dramatic spectral variability on unexpectedly short timescales, challenging standard accretion flow models. Despite growing s…
SDSS-V Black Hole Mapper: The Index Diagram as a tool to disentangle the influence of the Host Galaxy in Quasar spectra
C. A. Negrete, R. Sandoval-Orozco, H. Ibarra-Medel +32
We revisit the Quasar Main Sequence (QMS) by investigating the impact of the stellar component from the host galaxy (HG) on the emission line spectra of the active galactic nuclei…
Automated quasar continuum estimation using neural networks: a comparative study of deep-learning architectures
Francesco Pistis, Michele Fumagalli, Matteo Fossati +13
Context. Ongoing and upcoming large spectroscopic surveys are drastically increasing the number of observed quasar spectra, requiring the development of fast and accurate automated…
CircleZ: Reliable Photometric redshifts for AGN computed using only photometry from Legacy Survey Imaging for DESI
A. Saxena, M. Salvato, W. Roster +25
(abridged)Photometric redshifts for AGN (galaxies hosting an accreting supermassive black hole in their center) are notoriously challenging and currently better computed via SED fi…
The miniJPAS survey quasar selection IV: Classification and redshift estimation with SQUEzE
Ignasi Pérez-Ràfols, L. Raul Abramo, Ginés Martínez-Solaeche +24
We present a list of quasar candidates including photometric redshift estimates from the miniJPAS Data Release constructed using SQUEzE. This work is based on machine-learning clas…