Novel constraints on neutrino physics beyond the standard model from the CONUS experiment
CONUS Collaboration: H. Bonet (1), A. Bonhomme (1), C. Buck (1), K., F\"ulber (2), J. Hakenm\"uller (1), G. Heusser (1), T. Hugle (1), M. Lindner, (1), W. Maneschg (1), T. Rink (1), H. Strecker (1), R. Wink (2) ((1), Max-Planck-Institut f\"ur Kernphysik, Heidelberg, Germany, (2)

TL;DR
This paper uses data from the CONUS experiment to set new constraints on various beyond the standard model neutrino interactions and mediators, leveraging low-background measurements of CEνNS and neutrino-electron scattering.
Contribution
It provides the world's best limits on tensor NSIs and new constraints on scalar and vector mediators from reactor neutrino data, advancing the search for new physics beyond the standard model.
Findings
Set world's best limits on tensor NSIs from CEνNS.
Constrained scalar and vector mediators with coupling constants as low as 5×10⁻⁵.
Achieved stronger bounds on mediator masses below 1 MeV and 10 MeV from neutrino-electron scattering.
Abstract
The measurements of coherent elastic neutrino-nucleus scattering (CENS) experiments have opened up the possibility to constrain neutrino physics beyond the standard model of elementary particle physics. Furthermore, by considering neutrino-electron scattering in the keV-energy region, it is possible to set additional limits on new physics processes. Here, we present constraints that are derived from CONUS germanium data on beyond the standard model (BSM) processes like tensor and vector non-standard interactions (NSIs) in the neutrino-quark sector, as well as light vector and scalar mediators. Thanks to the realized low background levels in the CONUS experiment at ionization energies below 1 keV, we are able to set the world's best limits on tensor NSIs from CENS and constrain the scale of corresponding new physics to lie above 360 GeV. For vector NSIs, the derived limits…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
