CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
The project aims to develop machine learning tools to analyze large datasets from high redshift astronomy, specifically focusing on the demographics of massive galaxies. This research seeks to uncover the physical processes driving star formation in the early universe.
An epoch of “big data” mining just started for high redshift astronomy.
State-of-the-art photometric surveys observed millions of objects on sky, and next-generation telescopes will provide statistically significant samples even for the rarest galaxy types.
However, standard techniques (e.g., methods to fit galaxies' spectral energy distribution) are not optimal to analyse this data, preventing a true scientific breakthrough.
Indeed some of the most urgent questions in this research field, conce…
KOBENHAVNS UNIVERSITET
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
