학술논문
Measurement of the Multi-Neutron $\bar{\nu}_{\mu}$ Charged Current Differential Cross Section at Low Available Energy on Hydrocarbon
Document Type
Working Paper
Author
Olivier, A.; Cai, T.; Akhter, S.; Dar, Z. Ahmad; Ansari, V.; Ascencio, M. V.; Athar, M. Sajjad; Bashyal, A.; Bercellie, A.; Betancourt, M.; Bonilla, J. L.; Bravar, A.; Budd, H.; Caceres, G.; Díaz, G. A.; Felix, J.; Fields, L.; Filkins, A.; Fine, R.; Gago, A. M.; Gaur, P. K.; Gilligan, S. M.; Gran, R.; Granados, E.; Harris, D. A.; Hart, A. L.; Jena, D.; Jena, S.; Kleykamp, J.; Klustová, A.; Kordosky, M.; Last, D.; Lozano, A.; Lu, X. -G.; Manly, S.; Mann, W. A.; Mauger, C.; McFarland, K. S.; Messerly, B.; Moreno, O.; Morfín, J. G.; Naples, D.; Nelson, J. K.; Nguyen, C.; Paolone, V.; Perdue, G. N.; Pernas, C.; Plows, K. -J.; Ramírez, M. A.; Ray, H.; Roy, N.; Ruterbories, D.; Schellman, H.; Salinas, C. J. Solano; Sultana, M.; Syrotenko, V. S.; Valencia, E.; Vaughan, N. H.; Waldron, A. V.; Yaeggy, B.; Zazueta, L.
Source
Subject
Language
Abstract
Neutron production in antineutrino interactions can lead to bias in energy reconstruction in neutrino oscillation experiments, but these interactions have rarely been studied. MINERvA previously studied neutron production at an average antineutrino energy of ~3 GeV in 2016 and found deficiencies in leading models. In this paper, the MINERvA 6 GeV average antineutrino energy data set is shown to have similar disagreements. A measurement of the cross section for an antineutrino to produce two or more neutrons and have low visible energy is presented as an experiment-independent way to explore neutron production modeling. This cross section disagrees with several leading models' predictions. Neutron modeling techniques from nuclear physics are used to quantify neutron detection uncertainties on this result.
Comment: 25 pages, 11 figures; Added ancillary files with cross section values as .csv Matches preprint accepted by publisher
Comment: 25 pages, 11 figures; Added ancillary files with cross section values as .csv Matches preprint accepted by publisher