1.3k citations · 2.5k across the 15 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era
Pablo Huijse, Pablo A. Estevez, Francisco Forster +5
The Large Synoptic Survey Telescope (LSST) will produce an unprecedented amount of light curves using six optical bands. Robust and efficient methods that can aggregate data from m…
Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection
Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster +2
We introduce Deep-HiTS, a rotation invariant convolutional neural network (CNN) model for classifying images of transients candidates into artifacts or real sources for the High ca…
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases
Pablo Huijse, Pablo A. Estevez, Pavlos Protopapas +2
Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky survey…
A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set
Pavlos Protopapas, Pablo Huijse, Pablo A. Estevez +2
We present a new method to discriminate periodic from non-periodic irregularly sampled lightcurves. We introduce a periodic kernel and maximize a similarity measure derived from in…
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves
Pablo Huijse, Pablo A. Estevez, Pavlos Protopapas +2
We propose a new information theoretic metric for finding periodicities in stellar light curves. Light curves are astronomical time series of brightness over time, and are characte…