Challenges in double charge exchange measurements for neutrino physics
NUMEN Collaboration. (2019). Challenges in double charge exchange measurements for neutrino physics. In F. Cerutti, A. Ferrari, T. Kawano, F. Salvat-Pujol, & P. Talou (Eds.), NRM 2018 : Proceedings of the 15th International Conference on Nuclear Reaction Mechanisms (pp. 233-238). CERN - the European Organization for Nuclear Research. CERN Proceedings, 1. http://cds.cern.ch/record/2669349
Published inCERN Proceedings
© 2019 The Authors
The neutrinoless double beta (0νββ) decay, if observed, has important implications on particle physics, cosmology and fundamental physics. In particular it can give access to the effective neutrino mass. In order to extract such information from the 0νββ-decay half-life measurement, the knowledge of the Nuclear Matrix Elements (NME) is of utmost importance. In this context the NUMEN and the NURE projects aim to extract information on the NME by measuring the Double Charge Exchange (DCE) reaction cross section in selected systems of interest for the 0νββ-decay. The experimental difficulties that have to be faced are the measurements at very forward-angle, the very low cross section of the process to be measured, the requirement of a high energy resolution and, eventually, the unambiguous identification of the DCE reaction from other competing processes. The large-acceptance spectrometer MAGNEX, present at INFN-LNS, Catania fulfills all the requirement above mentioned.
PublisherCERN - the European Organization for Nuclear Research
Parent publication ISBN978-92-9083-519-6
ConferenceInternational Conference on Nuclear Reaction Mechanisms
Is part of publicationNRM 2018 : Proceedings of the 15th International Conference on Nuclear Reaction Mechanisms
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Research post as Academy Research Fellow, AoF; Research costs of Academy Research Fellow, AoF
Additional information about fundingThis project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 714625).
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