Interdisciplinary endeavors and data challenges in 21st century astronomy — the rise of Astrostatistics and Astroinformatics
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Data: 06/07/2017 (quinta-feira)
Horário: 14h
Local: B-144
Horário: 14h
Local: B-144
Palestrante: Dr. Rafael S. de Souza
Visiting Professor IAG/University of Sao Paulo
Researcher Eötvös Loránd University
Title: Interdisciplinary endeavors and data challenges in 21st century astronomy — the rise of Astrostatistics and Astroinformatics
Abstract: Astronomical development has always been connected with, and sometimes
dependent on, technological innovation. The technological difficulties associated with
the observational process lead the field to evolve around the study of a few, well observed,
objects. This paradigm has shifted completely in the last two or three decades with the
advent of large scale surveys. In this new scenario, traditional approaches to data analysis
in a case by case basis are no longer feasible. Astronomy is reinventing itself through
interdisciplinary collaborations with computer science and statistics leading the emergency
of the new fields of Astrostatistics and Astroinformatics.
dependent on, technological innovation. The technological difficulties associated with
the observational process lead the field to evolve around the study of a few, well observed,
objects. This paradigm has shifted completely in the last two or three decades with the
advent of large scale surveys. In this new scenario, traditional approaches to data analysis
in a case by case basis are no longer feasible. Astronomy is reinventing itself through
interdisciplinary collaborations with computer science and statistics leading the emergency
of the new fields of Astrostatistics and Astroinformatics.
I will briefly describe one example of how this partnership developed. Using the
Cosmostatistics Initiative (COIN) and the scientific challenges involving some of our projects,
such as classification of astronomical transients via supervised and unsupervised learning,
modeling of galaxy properties via generalized linear models and extensions, and
likelihood-free estimate of cosmological parameters via approximate Bayesian computation.
Cosmostatistics Initiative (COIN) and the scientific challenges involving some of our projects,
such as classification of astronomical transients via supervised and unsupervised learning,
modeling of galaxy properties via generalized linear models and extensions, and
likelihood-free estimate of cosmological parameters via approximate Bayesian computation.
Sobre o palestrante:
Dr. Rafael S. de Souza
Data-Scientist and Astrostatistician
Vice-President International Astrostatistics Association
Visiting Professor University of Sao Paulo
Researcher Eötvös Loránd University