Euclid


Space telescope for measuring the acceleration of the Universe to better understand dark energy and dark matter

ROLE OF THE INSTITUTE FOR DATA SCIENCE


> Data management, distribution of processing, workflow management and scheduling

> Efficient algorithms and Applied Machine Learning

Project lead at I4DS: Martin Melchior

Partners: : International consortium consisting of many academic institutions and industry partners

Funding: ESA/Prodex, SNF

Start: 2012
Status: ongoing
Launch: 2022


Keywords: big data, data management, applied machine learning, cosmology, dark energy, dark matter, Euclid

 

SUMMARY

Euclid is a space telescope for observing the acceleration of the Universe to better understand dark energy and dark matter. Data will be collected in the darkest area of the sky, free of contamination by light from our Galaxy and our Solar System. Euclid will observe about ten billions of light sources. The complete survey represents hundreds of thousands of images and several tens of Petabytes of data. The big data challenge will consist of efficiently managing and processing the vast amount of data in a distributed ground segment architecture with ten data centres distributed around the world.

PEOPLE @I4DS WHO WORK ON EUCLID

Dr. Mohamad Dia

Software engineer

Stefan Müller

PHD Student

until 2012

Cyril Halmo

Student

until 2017

Marco Soldati

Software engineer

Simon Marcin

Software engineer

Prof. Dr. Martin Melchior

Physicist, Deputy Head I4DS

STUDENT PARTICIPATION

OPEN RESOURCES AND RESULTS

VISUALS AND AUDIO

An artist’s view of the Euclid spacecraft. Credit: ESA/C. Carreau

This is how much of the sky Euclid is expected to see at once. The entire survey will cover 140 times this area. Credit: ESA/Euclid consortium

During the planned six years of mission operation, Euclid will observe these regions of the sky, looking for dark matter and investigating the expansion of the universe. Credit: ESA/Euclid consortium