ASTROSTAT-II · Development of Novel Statistical Tools for the Analysis of Astronomical Data
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2020-03-01 → 2025-08-31
- EU contribution
- €556,600
- Participants
- 8
- Scheme
- MSCA-RISE
Lines connect the coordinator with its partners.
Results in brief
Development of Novel Statistical Tools for the Analysis of Astronomical Data
The goal of this project is to develop new methods for the analysis of complex astrophysical data. This way we can maximize the scientific output of state-of-the-art research facilities such as ground-based telescopes and space observatories probing the Universe over the entire electromagnetic spectrum. In addition through the activities of this program young researchers are trained in novel and emerging methodologies, obtaining additional career enabling skills in areas such as statistics and artificial intelligence. The overall objectives of the project are: a) To develop new methods that will address existing challenges in astrophysics research related to the following areas: -- Detection and characterization of sources -- Analysis of images (including multi-dimensional data such as event lists or data cubes) with special focus on low photon-count data -- Population studies, including a broad array of problems related to fitting distributions and inferring model parameters for individual sources or their populations -- Analysis of time-domain data including the detection of transients, characterization of sources and measurement of variability parameters. b) Train young researchers to new methodologies and provide them with career enabling skills. c) Strengthen the collaboration between the participating institutes and enhance the cross-disciplinary transfer of knowledge between the fields of statistics and Astrophysics.
Data: CORDIS, © European Union
Project 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), andStatistics (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 ofdark energy and dark matter, the populations of accreting binary stars in galaxies and their evolution, the morphologicaland 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.
Original text from CORDIS.
Participants
- IDRYMA TECHNOLOGIAS KAI EREVNAS · IRAKLEIOCoordinatorGreece
- CALIFORNIA INSTITUTE OF TECHNOLOGYCORP · PasadenaUnited States
- IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE · LondonUnited Kingdom
- NORTHWESTERN UNIVERSITY CORPORATION · EVANSTONUnited States
- SMITHSONIAN INSTITUTION · Washington DcUnited States
- Simon Fraser University · BurnabyCanada
- THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE · CAMBRIDGEUnited Kingdom
- UNIVERSITE DE GENEVE · GeneveSwitzerland
Links
Data: CORDIS, © European Union