Project description
Developing novel statistical tools for observing space
Despite the great advances made in astrophysical knowledge, space still holds many secrets. Aiming to unravel some of these secrets related to dark energy, dark matter, binary stars and galaxies, the EU-funded ASTROSTAT-II project aims to establish an interdisciplinary collaboration network to share statistical and astrophysical expertise from different institutions in Europe and North America. The project will use state-of-the-art observations and theoretical models, and will develop novel, principled tools for statistical analysis. The methods developed in this project will have lasting value and applications beyond the field of astrophysics.
Objective
We propose an interdisciplinary collaboration network involving leading groups in Astrophysics (Astrophysics Group in Crete,
Geneva Observatory, University of Cambridge, Smithsonian Astrophysical Observatory, Caltech, and Nortwestern University), and
Statistics (Imperial College, University of Cambridge, Simon Fraser University). The goal of this project is to share expertise between the different fields and geographical areas in order to tackle key questions in observational Astrophysics, related to the nature of
dark energy and dark matter, the populations of accreting binary stars in galaxies and their evolution, the morphological
and activity classification of galaxies, and the identification and characterization of fast evolving, or transient, sources. To address each of these questions we will use state-of-the-art observations and theoretical models, and we will develop novel, principled tools for statistical analysis in the domains of source classification, structure detection, and fitting. The methods developed under this program will have lasting value and applications beyond the field of Astrophysics.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Keywords
Programme(s)
Coordinator
70013 Irakleio
Greece