Big Extragalactic Surveys Treated Through Innovative MEthods

Project description

New software to extract info from Cosmic Dawn Survey database

This is where astronomy meets big data mining. While new telescopes are powerful enough to capture the rarest galaxy types, it is a challenge to analyse this data. The EU-funded BESTTIME project will design machine learning software to extract information from the Cosmic Dawn Survey database. Specifically, it will conduct an advanced statistical analysis in unprecedented demographics, such as stellar mass function, of high redshift (z>3), massive (>5e10 Msol) galaxies. The findings will improve our understanding of the physical mechanisms driving star formation in such extreme galaxies, which are thought to contain most of the stellar mass in the early universe.

Fields of science

• natural sciences › computer and information sciences › databases
• natural sciences › computer and information sciences › data science › big data
• natural sciences › computer and information sciences › data science › data mining
• natural sciences › physical sciences › astronomy › astrophysics › black holes
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

KOBENHAVNS UNIVERSITET

Net EU contribution

€ 207 312,00

Address

Norregade 10
1165 Kobenhavn
Denmark

Region

Danmark › Hovedstaden › Byen København

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00