Abstract: Euclid is an ESA space telescope launching in July 2023, designed to understand the nature of dark energy and dark matter. To achieve this, Euclid will observe over a third of the sky with high resolution imaging and spectroscopy, which will establish “the” reference map of the extra-galactic celestial sphere for decades to come. The giant archive produced will be a goldmine to study the history of the formation and growth of galaxies over the age of the Universe, driving answers to many fundamental science questions on the coevolution of galaxies and supermassive black holes, the interaction between stars, gas, and galactic nuclei in galaxies at cosmic noon, and excelling in the discovery of rare objects including gravitational lenses. However, the richest gold veins are also the most difficult to exploit: the tools developed for Euclid’s primary science will not be enough to open the rich legacy for the astronomical community. We therefore propose ELSA to explore new methodologies and create cutting-edge pipelines, tools and algorithms. Our ambitious 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.

ELSA has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No 101135203.

Dettagli tecnici

PI: Viola Allevato

Struttura INAF: OA Capodimonte

Bando: HORIZON-CL4-2023-SPACE-01-71

Riferimento contratto n. 101135203.

Inizio: 01/01/2024

Durata: 36 mesi

Coordinamento: UNIBO (IT)

Partner: