With a new generation of large etendue survey telescopes there is a growing need for alert processing systems. This includes real–time processing of the raw data for alert generation, real–time annotation and classification of the alerts and real–time reaction to interesting alerts using available astronomical resources. We are building a new alert classification and reaction system called ALeRCE: Automatic Learning for the Rapid Classification of Events. ALeRCE is an initiative led by an interdisciplinary and interinstitutional group of scientists from U. Austral (Inf), U. Católica, U. Chile, U. Concepción, the Millennium Institute for Astrophysics – MAS and U. Nacional Andres Bello – UNAB, and REUNA in Chile, in collaboration with international researchers from Caltech and Harvard U. and U. of Washington.
Figure 1: Field of view vs light collecting area for different large scale cameras in astronomical observatories. The product of both quantities is called etendue and is represented by the circle sizes. Etendue is a good measure of the volume of the Universe surveyed by a telescope in a single exposure.
Figure 2: The taxonomy used by the ALeRCE broker. We use a hierarchical classification scheme designed to allow for an increasingly complex taxonomy with time. In the left of the diagram we see different types of stellar explosions, in the center we see stars which present some intrinsic or extrinsic variability, and in the right we see different types of accretion disks.
Credit: Nick Hall photography
Alerce is a conifer species native to the Andes mountains of southern Chile and Argentina. They are the southern relatives of the redwoods of California. Alerces can live up to 4000 yr and reach up to 60 m
ALeRCE Machine Learning meeting @ Santiago, Chile, June 2019
ALeRCE hackathon @ La Serena, Chile, March 2019
ALeRCE hackathon @ Valdivia, Chile, November 2018
ALeRCE members in alphabetical order:
Danilo Alvares 3,2; Ismael Álvarez 2; Javier Arredondo 2; Nicolás Astorga 5,6; Franz Bauer 2; Jura Borissova 8,1; Guillermo Cabrera-Vives 8,2; Rodrigo Carrasco-Davis 5,2; Ernesto Castillo 2,1; Marcio Catelan 7,2; Andrew Connolly 10; Demetra De Cicco 2,7; Cristóbal Donoso 9,2; Felipe Elorrieta 4,2; Pablo Estévez 5,2; Susana Eyheramendy 3,2; Francisco Förster 1, 2; G. García 5,2; Mathew Graham 11; Pablo Huijse 12,2; Radostin Kurtev 8,2; Ashish Mahabal 11; Giovanni Motta 3,2; Rosario Molina 5,2; Giuliano Pignata 14,2; Pavlos Protopapas 6; Esteban Reyes 5; Ignacio Reyes 2,5; Diego Rodríguez 2; Daniela Ruz 2; Juan Sáez 2; Paula Sánchez-Sáez 2,3; Camilo Valenzuela 2; Jorge Vergara 15
1) Center for Mathematical Modeling (CMM), U. Chile; 2) Millennium Institute of Astrophyscs (MAS), Chile; 3) D. Statistics, Catholic U. Chile; 4) D. Math. & Comp. Science, U. Santiago, Chile; 5) D. Electrical Eng., U. Chile; 6) Inst. for Applied Computational Science, Harvard U. 7) D. Astronomy, Catholic U. Chile; 8) Institute of Physics and Astronomy. U. Vaparaiso 9) D. Computer Science, U. Concepción; 10) Dirac Institute, U. Washington; 11) Center for Data Driven Discovery, California Inst. of Technology; 12) Informatics Inst., Austral U. of Chile; 13) D. Physical Sc., U. Andres Bello; 14) D. Computer Science, Metropolitan Technological U.
Original frontend design (software design course CC5402):
Students: Andrea Benavides, Juan Andrés Moreno, Alejandro Quijada, Pablo Poblete, Sofía Valenzuela, Javier Zambra. Supervisors: Rosario Molina, Ignacio Reyes, Ismael Álvarez.