8 papers
VAR-PZnn: A machine-learning framework for AGN photometric redshifts using color and variability-based features
S. Satheesh-Sheeba, P. Sánchez-Sáez, R. J. Assef +39
Photometric redshift estimation for active galactic nuclei (AGNs) remains a fundamental challenge for current and upcoming large-scale photometric surveys. Traditional spectral ene…
4MOST ChANGES: Catalog of high-redshift quasar candidates (4.5 < < 7) selected with SED fitting
T. Mkrtchyan, C. Mazzucchelli, R. J. Assef +12
The identification of high-redshift quasars () is critical for studying the early Universe, supermassive black hole growth, and cosmic reionization. Most known high-redshi…
VAR-PZ: Constraining the Photometric Redshifts of Quasars using Variability
S. Satheesh-Sheeba, R. J. Assef, T. Anguita +33
The Vera C. Rubin Observatory LSST is expected to discover tens of millions of new Active Galactic Nuclei (AGNs). The survey's exceptional cadence and sensitivity will enable UV/op…
AGILE: an end-to-end Rubin-LSST simulation of AGNs, galaxies, and stars I. Software description and first data release
A. Viitanen, A. Bongiorno, I. Saccheo +37
Contemporary large-scale surveys such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) and Euclid present an unprecedented discovery potential for studying A…
The evolution of obscured AGN across cosmic time -- A large quasar survey for the 2040s
Tanya Urrutia, Darshan Kakkad, Paula Sánchez-Sáez +21
We propose a large quasar demographic optical multi-object spectroscopic (MOS) survey targeting over 50 million AGN candidates up to the highest redshifts possible in the optical (…
Spectroscopic Alerts for the Time-Domain Era
Alejandra Melo, Paula Sanchez-Saez, Valentin D. Ivanov +13
Time-domain astronomy is entering an era of unprecedented discovery driven by wide-field, high-cadence surveys such as LSST, Roman, Euclid, SKA, and PLATO. While some of these faci…