The La Serena School for Data Science: Applied Tools for Astronomy es el nombre de la primera actividad de este tipo que se realizará entre el 12 y 16 de agosto de 2013, en el Campus de AURA, en la ciudad de La Serena. La fecha límite de inscripción es el 15 de julio.
Se invita a estudiantes de distintas disciplinas vinculadas a la Data Science, como astronomía, informática, estadística o matemáticas, a participar en este encuentro. No hay costos por matrícula, pero sí deberán cubrir sus gastos de viaje y alojamiento. Hay una cantidad limitada de becas que estará disponible para estos gastos y se distribuirá entre los inscritos.
Son parte del Comité Organizador: Observatorio AURA, Universidad de La Serena, CMM-Universidad de Chile, REUNA y CONICYT.
Abstract:
The volume and complexity of astronomical data continues to grow as the current generation of surveys come online (PanSTARRS, Dark Energy Survey, VISTA). Astronomers will need to work with giga, tera and even petabytes of data in real time (LSST). This poses the challenges of developing and using new tools for data discovery, access, and analysis. At the same time, there are new opportunities for interdisciplinary research in applied mathematics, statistics, machine learning, crowd-sourcing, etc. Astronomy provides a sand-box where scientists can come together from diverse fields to address common challenges within the “Big Data” paradigm.
The LA SERENA SCHOOL FOR DATA SCIENCE: Applied Tools for Astronomy is an intensive week of interdisciplinary lectures focused on applied tools for handling big astronomical data. Participants will be instructed in how astronomical data are processed, accessed and analyzed, including reduction pipelines, databases, and scientific programming. The School will be taught by an international and interdisciplinary group of professors who will use real data and examples. Participants will work on team-based projects and be provided training and access to the National Laboratory for High Performance Computing located at the University of Chile’s Center for Mathematical Modeling.
Lecture topics include:
– Astronomical Data Aquisition
– Processing pipelines
– Astronomical Databases
– Virtual Observatory
– High Performance Computing
– Statistical tools applied to Astronomy
Para más información ingrese a http://aurao.ctio.noao.edu/winter_school/
