activity
20172025
most citedThe Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker

196 citations · 1.1k across the 19 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

astro-ph.HE2018★ 166 cited

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★ 22 cited

The High Cadence Transient Survey (HITS): Compilation and characterization of light-curve catalogs

Jorge Martínez-Palomera, Francisco Förster, Pavlos Protopapas +12

The High Cadence Transient Survey (HiTS) aims to discover and study transient objects with characteristic timescales between hours and days, such as pulsating, eclipsing and explod…

astro-ph.IM2018★ 10 cited

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★ 47 cited

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…

astro-ph.EP2018★ 6 cited

Asteroids in the High cadence Transient Survey

J. Peña, C. Fuentes, F. Förster +11

We report on the serendipitous observations of Solar System objects imaged during the High cadence Transient Survey (HiTS) 2014 observation campaign. Data from this high cadence, w…