196 citations · 764 across the 31 of their papers we have counts for
3 papers · 1 filter
Selection of powerful radio galaxies with machine learning
R. Carvajal, I. Matute, J. Afonso +12
We developed and trained a pipeline of three machine learning (ML) models than can predict which sources are more likely to be an AGN and to be detected in specific radio surveys.…
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernández-García +8
With the increasing volume of astronomical data generated by modern survey telescopes, automated pipelines and machine learning techniques have become crucial for analyzing and ext…
The universal power spectrum of Quasars in optical wavelengths: Break timescale scales directly with both black hole mass and accretion rate
P. Arevalo, E. Churazov, P. Lira +5
Aims: Establish the dependence of variability properties, such as characteristic timescales and variability amplitude, on basic quasar parameters such as black hole mass and accret…