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La Serena School for Data Science: multidisciplinary hands-on education in the era of big data
(Cambridge University Press, 2021)
La Serena School for Data Science is a multidisciplinary program with six editions so far and a constant format: during 10-14 days, a group of ∼30 students (15 from the US, 15 from Chile and 1-3 from Caribbean countries) ...
Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines
(Elsevier Science, 2017-07)
Data processing pipelines represent an important slice of the astronomical software library that include chains of processes that transform raw data into valuable information via data reduction and analysis. In this work ...
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning
(Elsevier, 2018-10)
Machine learning algorithms are highly useful for the classification of time series data in astronomy in this era of peta-scale public survey data releases. These methods can facilitate the discovery of new unknown events ...
Astroinformática y prospección de la astronomía chilena: Sub-disciplina en el escenario global y desarrollo científico localAstroinformatics and the prospection of astronomy in Chile: A sub-discipline in the global scenario, and a local scientific development
(Ediciones Universidad Católica de Temuco, 2019)
Alert classification for the alerce broker system: the real-time stamp classifier
(IOP, 2021)
We present a real-time stamp classifier of astronomical events for the Automatic Learning for the Rapid
Classification of Events broker, ALeRCE. The classifier is based on a convolutional neural network, trained on
alerts ...
The Automatic Learning for the Rapid Classification of Events (ALeRCE) Alert Broker
(American Astronomical Society (Aas), 2021)
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 classification of large etendue telescope alert ...
Hierarchical Storage Management System For Big Data Astronomical Research.
(2017)
We proposed to purchase and install a new hierarchical storage system to be used by the Astroinformatics Laboratory (AstroLab) at the Center for Mathematical Modeling (CMM) of the University of Chile (UChile). The AstroLab ...