activity
20182026
most citedThe Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker

196 citations · 764 across the 31 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

astro-ph.GA2026

CLAS+: A large catalog of Changing-Look AGN candidates selected through S-PLUS narrow-band photometry

L. Nakazono, L. L. Oliveira, R. R. Valença +11

Changing-look active galactic nuclei (CLAGN) exhibit rapid spectral transitions on timescales of months to years, challenging standard AGN unification models and providing unique i…

astro-ph.GA2026

The Intermediate-Mass Black Hole Reverberation Mapping Project: Scientific Overview and Sample Characteristics

Hengxiao Guo, Jiancheng Wu, Wenwen Zuo +38

Recent discoveries with the James Webb Space Telescope of massive black holes at high redshift have highlighted fundamental questions about black hole seed formation and the coevol…

astro-ph.HE2026

Relativistic outflows power a quasi-periodic eruption: constraints on energetics, mass loss, and emission mechanisms

Joheen Chakraborty, Erin Kara, Wenbin Lu +17

Quasi-periodic eruptions (QPEs) are recurring bursts of X-ray radiation originating from supermassive black holes (SMBHs). They are an unprecedented type of structured, high-amplit…

astro-ph.GA2026

The X-ray-Weak Tail of the Quasar Population: Physical Properties and Redshift Evolution of Variability-Selected AGN in eFEDS

P. Arévalo, J. Buchner, M. Salvato +10

(abridged) Aims: To characterize variability-selected AGN candidates within the eROSITA Final Equatorial-Depth Survey (eFEDS), leveraging the synergy between optical variability an…

astro-ph.GA2026

AGNFormer I: Reconstruction of AGN spectra using a probabilistic transformer model

Benedict L. Rouse, Franz E. Bauer, Tomasz Różański +8

We explore how an uncertainty-aware transformer-based architecture can leverage information embedded across the entire observed optical spectra of AGN, focusing on the algorithm's…

astro-ph.GA2026

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…

astro-ph.GA2026

Seeing through the dust: Unraveling near-infrared variability in type 2 active galactic nuclei

J. Cerón-Meneses, P. Arévalo, P. Sánchez-Sáez +3

Near-infrared (NIR) variability studies of active galactic nuclei (AGNs) are still limited, as long-term multiepoch monitoring in the NIR is observationally challenging. The depth,…