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Coherent Elastic Neutrino Nucleus Scattering and Dark Matter with Spherical Proportional Counters

Project description

Investigating neutrinos, hidden particles and dark matter using advanced detection technology

Understanding the nature of neutrinos and dark matter is a major challenge in modern physics. With the support of the Marie Skłodowska-Curie Actions programme, the neutrinoSPHERE project will address this by exploiting the potential of advanced spherical proportional counters (SPCs) developed by the NEWS-G Collaboration. These ultra-sensitive, large gaseous detectors will explore phenomena like neutrino magnetic moments and boosted sub-GeV dark matter signals from cosmic rays and supernova neutrinos. A key innovation is the development of NEWS-ML – a simulation framework based on machine learning that models rare signals from dark matter, neutrinos, dark photons and axion-like particles in SPCs. The project will open new frontiers in astroparticle physics, investigating hitherto unexplored regions in physics beyond the Standard Model.

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.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNIVERSITY OF HAMBURG
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 217 965,12
Address
MITTELWEG 177
20148 Hamburg
Germany

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Region
Hamburg Hamburg Hamburg
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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