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The Development of the NNBAR Experiment

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arxiv 2209.09011 v1 pith:AZWNX34S submitted 2022-09-19 physics.ins-det hep-exnucl-ex

F. Backman , J. Barrow , Y. Be{ss}ler , A. Bianchi , C. Bohm , G. Brooijmans , L. J. Broussard , H. Calen
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J. Cederkäll J. I. M. Damian E. Dian D. D. Di Julio K. Dunne L. Eklund M. J. Ferreira P. Fierlinger U. Friman-Gayer C. Happe M. Holl T. Johansson Y. Kamyshkov E. Klinkby R. Kolevatov A. Kupsc B. Meirose D. Milstead A. Nepomuceno T. Nilsson A. Oskarsson H. Perrey K. Ramic B. Rataj N. Rizzi V. Santoro S. Silverstein W.M. Snow A. Takibayev R. Wagner M. Wolke S.C. Yiu A. R. Young L. Zanini O. Zimmer
This is my paper · ORCID
classification physics.ins-dethep-exnucl-ex
keywords designexperimentnnbarsearchsensitivityusedwillannihilation
verification ladder T0 review T1 audit T2 compute T3 formal

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The NNBAR experiment for the European Spallation Source will search for free neutrons converting to antineutrons with a sensitivity improvement of three orders of magnitude compared to the last such search. This paper describes progress towards a conceptual design report for NNBAR. The design of a moderator, neutron reflector, beamline, shielding and annihilation detector is reported. The simulations used form part of a model which will be used for optimisation of the experiment design and quantification of its sensitivity.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fundamental Nuclear and Particle Physics At Neutron Sources

    nucl-ex 2025-06 unverdicted novelty 2.0 of 10

    A community whitepaper makes the case that ESS and neutron sources offer a competitive, complementary route to search for new physics, with proposed experiments in neutron decay, EDM, baryon number violation, neutrino...

  2. The HIBEAM Experiment

    hep-ex 2024-12 unverdicted novelty 2.0 of 10

    HIBEAM/NNBAR is a proposed ESS experiment that would search for baryon-number-violating neutron oscillations with sensitivity up to 1000 times better than previous searches.

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