collaborators

5 papers

astro-ph.IM2020

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…

astro-ph.EP2020

Asteroids' Size Distribution and Colors from HiTS

J. Peña, C. Fuentes, F. Förster +8

We report the observations of solar system objects during the 2015 campaign of the High cadence Transient Survey (HiTS). We found 5740 bodies (mostly Main Belt asteroids), 1203 of…

astro-ph.HE2018

The delay of shock breakout due to circumstellar material seen in most Type II Supernovae

F. Förster, T. J. Moriya, J. C. Maureira +35

Type II supernovae (SNe) originate from the explosion of hydrogen-rich supergiant massive stars. Their first electromagnetic signature is the shock breakout, a short-lived phenomen…

astro-ph.IM2018

Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection

Esteban Reyes, Pablo A. Estévez, Ignacio Reyes +4

In this paper, we propose an enhanced CNN model for detecting supernovae (SNe). This is done by applying a new method for obtaining rotational invariance that exploits cyclic symme…

astro-ph.IM2018

Deep Learning for Image Sequence Classification of Astronomical Events

Rodrigo Carrasco-Davis, Guillermo Cabrera-Vives, Francisco Förster +6

We propose a new sequential classification model for astronomical objects based on a recurrent convolutional neural network (RCNN) which uses sequences of images as inputs. This ap…