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HEДокторантска мрежа2024–2027

EDUCADO · Exploring the Deep Universe by Computational Analysis of Data from Observations

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

Период
2024-01-01 → 2027-12-31
Финансиране от ЕС
2 629 382 €
Участници
20
Схема
HORIZON-TMA-MSCA-DN

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Най-бледите джджунски галактики се анализират чрез компютърни методи и данни от телескопи. Това помага да се разберат разминанията между теоретичните модели за еволюцията на Вселената и реалните наблюдения.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Exploring the Deep Universe by Computational Analysis of Data from Observations

The formation and evolution of massive galaxies is reasonably well understood in the context of the successful standard ΛCDM formalism. Such simulations of cosmic evolution, however, lead to serious challenges in the regime of very faint galaxies, including the problems referred to as missing satellites, too big to fail, and planes of satellite galaxies. These discrepancies between what is expected from numerical modelling of the formation and evolution of galaxies, and what is observed with ground- and space-based telescopes, denote fundamental issues which call for enhanced precision and understanding on both the observational and the theoretical side. With the massive amounts of excellent data now being produced by modern astronomical surveys, we have a unique chance to solve these problems. To do this, we require innovative developments in information technology. In EDUCADO (Exploring the Deep Universe by Computational Analysis of Data from Observations), an intensive collaboration at the intersection of astronomy and computer science, we bring together experts from different disciplines and sectors. We train 11 Doctoral Candidates in the development of a variety of high-quality methods, needed to address the formation of the faintest structures. We aim to reliably and reproducibly detect unprecedented numbers of the faintest observable galaxies from new large-area surveys. We will study the morphology, populations, and distribution of large samples of various classes of dwarf galaxies and compare dwarf galaxy populations and properties across different environments. We will confront the results with cosmological models of galaxy formation and evolution. Finally, we will perform detailed, principled, and robust simulations and observations of the Milky Way and the Local Group to compare with dwarf galaxies in other environments. EDUCADO is delivering a comprehensive interdisciplinary, intersectoral, and international training programme including a secondment at one of our 11 associated partners for each DC. We are providing a fresh and sustainable way of training PhD scientists with interdisciplinary and intersectoral data science expertise, a requisite for future European competitiveness. Further information on EDUCADO can be found on the project website, https://research.iac.es/proyecto/educado/.

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

Цел на проекта

The formation and evolution of massive galaxies is reasonably well understood in the context of the successful standard ΛCDM formalism. Such simulations of cosmic evolution, however, lead to serious challenges in the regime of the very faint galaxies, including the problems referred to as missing satellites, too big to fail, and planes of satellite galaxies. With the massive amounts of excellent data being produced by astronomical surveys, and with new missions scheduled to produce more data of even better quality, we have a unique chance to solve these problems. To do this, we require innovative developments in information technology. In EDUCADO (Exploring the Deep Universe by Computational Analysis of Data from Observations), an intensive collaboration at the intersection of astronomy and computer science, we bring together experts from different disciplines and sectors. We will train 10 Doctoral Candidates in the development of a variety of high-quality methods, needed to address the formation of the faintest structures. We will reliably and reproducibly detect unprecedented numbers of the faintest observable galaxies from new large-area surveys. We will study the morphology, populations, and distribution of large samples of various classes of dwarf galaxies and compare dwarf galaxy populations and properties across different environments. We will confront the results with cosmological models of galaxy formation and evolution. Finally, we will perform detailed, principled, and robust simulations and observations of the Milky Way and the Local Group to compare with dwarf galaxies in other environments. EDUCADO will deliver a comprehensive interdisciplinary, intersectoral, and international training programme including a secondment at one of our 11 associated partners for each DC. We will provide a fresh and sustainable way of training PhD scientists with interdisciplinary and intersectoral data science expertise, a requisite for future European competitiveness.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз