Menu
MapConnectionsTopicsBulgariaThe Night (K-TRIO)Marie Skłodowska-CurieFor studentsFor teachersMethodologySurprise me
HEDoctoral network2024–2027

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

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2024-01-01 → 2027-12-31
EU contribution
€2,629,382
Participants
20
Scheme
HORIZON-TMA-MSCA-DN

Lines connect the coordinator with its partners. CORDIS does not always give exact coordinates for projects before 2014. These points are placed at city or country level.

Results in brief

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/.

Data: CORDIS, © European Union

Project objective

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.

Original text from CORDIS.

Participants

  • INSTITUTO DE ASTROFISICA DE CANARIAS · SAN CRISTOBAL DE LA LAGUNACoordinatorSpain
  • ADCIS · Saint-ContestFrance
  • AVS ADDED VALUE INDUSTRIAL ENGINEERING SOLUTIONS SLU · ElgoibarSpain
  • Adtac B.V. · GroningenCity levelNetherlands
  • C.I.R.A. CENTRO ITALIANO RICERCHE AEROSPAZIALI SCPA · CapuaItaly
  • DiRAC Institute · SeattleUnited States
  • FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH · Donostia San SebastianSpain
  • HITS GGMBH · HeidelbergGermany
  • ISTITUTO NAZIONALE DI ASTROFISICA · ROMAItaly
  • NEW YORK UNIVERSITY · NEW YORKUnited States
  • Pervasive Technologies S.L. · BarcelonaCity levelSpain
  • RIJKSUNIVERSITEIT GRONINGEN · GroningenNetherlands
  • Spheer AI B.V. · GroningenNetherlands
  • THE UNIVERSITY OF BIRMINGHAM · BirminghamUnited Kingdom
  • UNIVERSIDAD DE LA LAGUNA · San Cristobal de La LagunaSpain
  • UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II · NapoliItaly
  • UNIVERSITA DEGLI STUDI DI PADOVA · PadovaItaly
  • UNIVERSITAT DE BARCELONA · BarcelonaSpain
  • UNIVERSITE GUSTAVE EIFFEL · MARNE-LA-VALLEEFrance
  • UNIVERSITEIT GENT · GentBelgium

Links

Data: CORDIS, © European Union