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Favio César Neira Diaz

Cette personne a quitté l’EPFL

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Publications associées (4)

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Predicting High-magnification Events in Microlensed Quasars in the Era of LSST Using Recurrent Neural Networks

Eric Gérard Guy Paic, Favio César Neira Diaz

Upcoming wide-field surveys, such as the Rubin Observatory's Legacy Survey of Space and Time (LSST), will monitor thousands of strongly lensed quasars over a 10 yr period. Many of these monitored quasars will undergo high-magnification events (HMEs) throug ...

IOP Publishing Ltd2025

Nine lensed quasars and quasar pairs discovered through spatially extended variability in Pan-STARRS

Frédéric Courbin, Cameron Alexander Campbell Lemon, Aymeric Alexandre Galan, Frédéric Dux, Favio César Neira Diaz

We present the proof of concept of a method for finding strongly lensed quasars using their spatially extended photometric variability through difference imaging in cadenced imaging survey data. We applied the method to Pan-STARRS, starting with an initial ...

Edp Sciences S A2024

Tdcosmo Xvii. New Time Delays in 22 Lensed Quasars From Optical Monitoring with the Eso-vst 2.6m and Mpg 2.2m Telescopes

Frédéric Courbin, Vivien François Bonvin, Cameron Alexander Campbell Lemon, Aymeric Alexandre Galan, Eric Gérard Guy Paic, Frédéric Dux, Favio César Neira Diaz

We present new time delays, the main ingredient of time delay cosmography, for 22 lensed quasars resulting from high-cadence r-band monitoring on the 2.6 m ESO VLT Survey Telescope and Max-Planck-Gesellschaft 2.2 m telescope. Each lensed quasar was typical ...

EDP Sciences SA2025

PS J2107-1611: A new wide-separation, quadruply imaged lensed quasar with flux ratio anomalies

Frédéric Courbin, Cameron Alexander Campbell Lemon, Frédéric Dux, Favio César Neira Diaz

We report the discovery of PS J2107-1611, a fold-configuration 4.3 ''-separation quadruply lensed quasar with a bright lensed arc. It was discovered using a convolutional neural network on Pan-STARRS gri images of pre-selected quasar candidates with multip ...

Edp Sciences S A2023