학술논문
Observation of Coherent Elastic Neutrino-Nucleus Scattering
Document Type
Working Paper
Author
Akimov, D.; Albert, J. B.; An, P.; Awe, C.; Barbeau, P. S.; Becker, B.; Belov, V.; Brown, A.; Bolozdynya, A.; Cabrera-Palmer, B.; Cervantes, M.; Collar, J. I.; Cooper, R. J.; Cooper, R. L.; Cuesta, C.; Dean, D. J.; Detwiler, J. A.; Eberhardt, A.; Efremenko, Y.; Elliott, S. R.; Erkela, E. M.; Fabris, L.; Febbraro, M.; Fields, N. E.; Fox, W.; Fu, Z.; Galindo-Uribarri, A.; Green, M. P.; Hai, M.; Heath, M. R.; Hedges, S.; Hornback, D.; Hossbach, T. W.; Iverson, E. B.; Kaufman, L. J.; Ki, S.; Klein, S. R.; Khromov, A.; Konovalov, A.; Kremer, M.; Kumpan, A.; Leadbetter, C.; Li, L.; Lu, W.; Mann, K.; Markoff, D. M.; Miller, K.; Moreno, H.; Mueller, P. E.; Newby, J.; Orrell, J. L.; Overman, C. T.; Parno, D. S.; Penttila, S.; Perumpilly, G.; Ray, H.; Raybern, J.; Reyna, D.; Rich, G. C.; Rimal, D.; Rudik, D.; Scholberg, K.; Scholz, B. J.; Sinev, G.; Snow, W. M.; Sosnovtsev, V.; Shakirov, A.; Suchyta, S.; Suh, B.; Tayloe, R.; Thornton, R. T.; Tolstukhin, I.; Vanderwerp, J.; Varner, R. L.; Virtue, C. J.; Wan, Z.; Yoo, J.; Yu, C. -H.; Zawada, A.; Zettlemoyer, J.; Zderic, A. M.
Source
Subject
Language
Abstract
The coherent elastic scattering of neutrinos off nuclei has eluded detection for four decades, even though its predicted cross-section is the largest by far of all low-energy neutrino couplings. This mode of interaction provides new opportunities to study neutrino properties, and leads to a miniaturization of detector size, with potential technological applications. We observe this process at a 6.7-sigma confidence level, using a low-background, 14.6-kg CsI[Na] scintillator exposed to the neutrino emissions from the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory. Characteristic signatures in energy and time, predicted by the Standard Model for this process, are observed in high signal-to-background conditions. Improved constraints on non-standard neutrino interactions with quarks are derived from this initial dataset.