SOURCE-LINKED INTELLIGENCE
Euclid Legacy Science Advanced analysis tools
itious goal is to push the boundaries of spectroscopic analysis to the limits, uncovering hidden details of even the faintest and rarest galaxies measured by Euclid. We will leverage state of the art machine learning to efficiently handle the high-dimensional data and reveal the underlying physical processes they encode. This will need dedicated computing resources and highly motivated researchers versed in the most advanced techniques, that will work with our team of leading experts in the field of galaxy evolution to reveal the treasures preserved in the Euclid vault. Our machine learning will be supplemented by citizen science, enormously extending the reach of ELSA’s impact. ELSA will be a forge of knowledge and advanced tools that will not be confined within the boundaries of our teams, but shared with the whole scientific community and beyond to foster new projects and unforeseen discoveries. spectroscopy, machine-learning, visualisation tools, citizen science, euclid mission, galaxy evolution
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1076873.75
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.