196 citations · 388 across the 14 of their papers we have counts for
16 papers
Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs
Zhewei Chen, Hao Zhu, Jiaojiao Jiang +1
GNN-to-MLP distillation aims to retain the predictive accuracy of a message-passing teacher while deploying a graph-free MLP at inference. Existing methods mainly transfer node-wis…
Feature-driven anomaly flagging in obscured active galactic nucleus light curves with autoencoders
Natale De Bonis, Demetra De Cicco, Stefano Cavuoti +5
Active galactic nuclei (AGN) are among the most complex classes of astrophysical objects, displaying a wide range of variability and observational properties. Identifying unusual A…
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…
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…
AGN in massive galaxies identified via optical broadband variability: lessons from VST-COSMOS for future LSST science
B. Bichang'a, D. De Cicco, S. Kaviraj +4
We study the properties of 56 massive (M > 10 M) galaxies at that host AGN, detected via their broadband optical variability in the VST-COSMOS…
Scalable and Robust Multiband Modeling of AGN Light Curves in Rubin-LSST
Weixiang Yu, John J. Ruan, Colin J. Burke +22
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will monitor tens of millions of active galactic nuclei (AGNs) for a period of 10 years with an average caden…
Variability-selected AGN in dwarf galaxies: the incidence of AGN in dwarf and massive galaxies is similar
S. Kaviraj, D. De Cicco, I. Lazar +4
We use the VST-COSMOS survey to identify, via their optical broadband variability, 30 AGN in nearby (z<0.4) dwarf (10^8 MSun < M < 10^10 MSun) galaxies. VST-COSMOS offers a 1 deg^2…
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…
BASS. XLIV. Morphological preferences of local hard X-ray selected AGN
Miguel Parra Tello, Franz E. Bauer, Demetra De Cicco +20
We present morphological classifications for the hosts of 1189 hard X-ray selected (14-195 keV) active galactic nuclei (AGNs) from the Swift-BAT 105-month catalog as part of the BA…
The extremes of AGN variability: outbursts, deep fades, changing looks, exceptional spectral states, and semi-periodicities
S. Komossa, D. Grupe, P. Marziani +16
The extremes of Active Galactic Nuclei (AGN) variability offer valuable new insights into the drivers and physics of AGN. We discuss some of the most extreme cases of AGN variabili…
Identification of problematic epochs in astronomical time series through transfer learning
Stefano Cavuoti, Demetra De Cicco, Lars Doorenbos +4
We present a novel method for detecting outliers in astronomical time series based on the combination of a deep neural network and a k-nearest neighbor algorithm with the aim of id…
Ensemble power spectral density of SDSS quasars in UV/optical bands
Vincenzo Petrecca, Iossif Papadakis, Maurizio Paolillo +2
Context: Quasar variability has proven to be a powerful tool to constrain the properties of their inner engine and the accretion process onto supermassive black holes. Correlations…
X-ray Unveiling Events in a z~1.6 Active Galactic Nucleus in the 7 Ms Chandra Deep Field-South
Li-Ming Yu, Bin Luo, William N. Brandt +14
We investigate the extreme X-ray variability of a z = 1.608 active galactic nucleus in the 7 Ms Chandra Deep Field-South (XID 403), which showed two significant X-ray brightening e…
A random forest-based selection of optically variable AGN in the VST-COSMOS field
D. De Cicco, F. E. Bauer, M. Paolillo +6
The survey of the COSMOS field by the VLT Survey Telescope is an appealing testing ground for variability studies of active galactic nuclei (AGN). With 54 r-band visits over 3.3 yr…
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
F. Förster, G. Cabrera-Vives, E. Castillo-Navarrete +37
We introduce the Automatic Learning for the Rapid Classification of Events (ALeRCE) broker, an astronomical alert broker designed to provide a rapid and self--consistent classifica…
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier
P. Sánchez-Sáez, I. Reyes, C. Valenzuela +23
We present the first version of the ALeRCE (Automatic Learning for the Rapid Classification of Events) broker light curve classifier. ALeRCE is currently processing the Zwicky Tran…