Document type

Article

Version

Published version

Publication date

Publication license

cc-by (c) Hoferichter , M. et al., 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/174911

Coherent elastic neutrino-nucleus scattering: EFT analysis and nuclear responses

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

The cross section for coherent elastic neutrino-nucleus scattering (CEνNS) depends on the response of the target nucleus to the external current, in the Standard Model (SM) mediated by the exchange of a Z boson. This is typically subsumed into an object called the weak form factor of the nucleus. Here, we provide results for this form factor calculated using the large-scale nuclear shell model for a wide range of nuclei of relevance for current CEνNS experiments, including cesium, iodine, argon, fluorine, sodium, germanium, and xenon. In addition, we provide the responses needed to capture the axial-vector part of the cross section, which does not scale coherently with the number of neutrons, but may become relevant for the SM prediction of CEνNS on target nuclei with nonzero spin. We then generalize the formalism allowing for contributions beyond the SM. In particular, we stress that in this case, even for vector and axial-vector operators, the standard weak form factor does not apply anymore, but needs to be replaced by the appropriate combination of the underlying nuclear structure factors. We provide the corresponding expressions for vector, axial-vector, but also (pseudo)scalar, tensor, and dipole effective operators, including two-body-current effects as predicted from chiral effective field theory (EFT). Finally, we update the spin-dependent structure factors for dark matter scattering off nuclei according to our improved treatment of the axial-vector responses.

Citation

Citation

HOFERICHTER, Martin, SCHWENK, Achim and MENÉNDEZ SÁNCHEZ, Javier. Coherent elastic neutrino-nucleus scattering: EFT analysis and nuclear responses. Physical Review D. 2020. Vol. 102, num. 7, pags. 074018. ISSN 1550-7998. [consulted: 15 of June of 2026]. Available at: https://hdl.handle.net/2445/174911

Export metadata

JSON - METS

Share record