Cosmologie

Project ACE aims to implement new techniques from machine learning (ML) and artificial intelligence (AI) to detect galaxy clusters in upcoming astronomical surveys.  Convolutional neural networks offer the possibility to vastly improve cluster detection and the construction of cluster catalogs, improvements that will be critical to reach the full scientific potential of ESA’s Euclid space mission, the Rubin Observatory LSST survey, and the Simons Observatory (SO).  These experiments are dedicated to dark energy research and study of large-scale cosmic str
Context. One of the main questions of modern cosmology and physics concerns the origin of the Universe as we know it today. Thanks to the tremendous progress made in the last decade, in big part driven by the Europe-led satellite mission Planck, the stage has been set to start addressing this question for the first time in a meaningful way. Our most promising observational probe in this context is cosmic microwave background (CMB) - the primordial light generated in the very early Universe - and in particular observations of its polarization properties.

The study of the cold Universe allows us to go back to the origins of our solar system with the observation of star embryos and the origins of the Universe with the measurement of the polarization of the Cosmic Microwave Background. The astronomical instruments in the sub-millimetre and millimetre domains require the use of superconducting detectors cooled down to 100mK. This makes these experiments particularly complex to implement, especially at the system level. A simplification of cryogenic systems would be a major asset for future instruments.

The study of the cold Universe allows us to go back to the origins of our solar system with the observation of star embryos and the origins of the Universe with the measurement of the polarization of the Cosmic Microwave Background. The astronomical instruments in the sub-millimetre and millimetre domains require the use of superconducting detectors cooled down to 100mK. This makes these experiments particularly complex to implement, especially at the system level. A simplification of cryogenic systems would be a major asset for future instruments.