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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Обмен на изследователи2020–2025

ASTROSTAT-II · Development of Novel Statistical Tools for the Analysis of Astronomical Data

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2020-03-01 → 2025-08-31
Финансиране от ЕС
556 600 €
Участници
8
Схема
MSCA-RISE

Линиите свързват координатора с партньорите.

Накратко на български

Нови статистически методи се разработват за анализ на сложни астрономически данни, като например откриването на обекти при нисък брой фотони. Те помагат за по-ефективно използване на телескопите и обсерваториите, за да се извлече повече научна информация от наблюдението на Вселената.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

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.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз