Objective
neutrinoSPHERE, following a multidisciplinary synergic approach, will comprehensively investigate the wider aspects of astroparticle physics. It will exploit the potential of Spherical Proportional Counters (SPC) developed by NEWS-G Collaboration and will develop novel tools based on Machine-Learning (ML) techniques to conclusively respond to long-standing puzzles in particle physics such as the nature of neutrinos and the existence of dark matter (DM). The ultra low-threshold capabilities of SPCs are ideal to explore neutrino magnetic moments through coherent elastic neutrino-nucleus scattering (CEvNS), and sub-GeV boosted-DM signatures induced by: cosmic rays, Diffuse Supernova Neutrino Background and solar reflection. Furthermore, neutrinoSPHERE will open new directions expanding the scientific programme and physics reach of NEWS-G to additional components of the dark sector via the dark boson portal: dark photons, dark scalars, and axion-like particles.
To address these challenges, neutrinoSPHERE will develop NEWS-ML, a novel simulation framework based on ML, offering rapid and fully validated state-of-the-art simulations of CEvNS, DM and hidden sector signals in SPCs. The performance of NEWS-ML will be accelerated with GPU technology and MPI-parallelisation, facilitating statistical inference and accurate constraints extraction. neutrinoSPHERE offers the ideal template to achieve the required breakthroughs in astroparticle physics by investigating previously-unexplored regions of BSM scenarios, in which existing rare-event searches have limited sensitivity, thus complementing them.
The research team has diverse expertise, ranging from instrumentation and detector R&D to beyond the Standard Model phenomenology. The scientific results will be disseminated in different target groups through journal publications, conference announcements, public talks, outreach activities and social media.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencesphysical sciencestheoretical physicsparticle physicsneutrinos
- natural sciencesphysical sciencestheoretical physicsparticle physicsphotons
- natural sciencesphysical sciencesastronomystellar astronomysupernova
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
20148 Hamburg
Germany