Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 102 tok/s
Gemini 2.5 Pro 51 tok/s Pro
GPT-5 Medium 30 tok/s
GPT-5 High 27 tok/s Pro
GPT-4o 110 tok/s
GPT OSS 120B 475 tok/s Pro
Kimi K2 203 tok/s Pro
2000 character limit reached

Neutrino Tridents at DUNE (1902.06765v2)

Published 18 Feb 2019 in hep-ph and hep-ex

Abstract: The DUNE near detector will collect an unprecedented large number of neutrino interactions, allowing the precise measurement of rare processes such as neutrino trident production, i.e. the generation of a lepton-antilepton pair through the scattering of a neutrino off a heavy nucleus. The event rate of this process is a powerful probe to a well-motivated parameter space of new physics beyond the Standard Model. In this paper, we perform a detailed sensitivity study of the DUNE near detector to neutrino tridents. We provide state-of-the-art predictions for the Standard Model cross sections and corresponding event rates at the near detector for the nu_mu -> nu_mu mu+ mu-, nu_mu -> nu_mu e+e- and nu_mu -> nu_e e+ mu- trident interactions (and the corresponding anti-neutrino modes), discussing their uncertainties. We analyze all relevant backgrounds, utilize a Geant4-based simulation of the DUNE-near detector liquid argon TPC (the official DUNE simulation at the time of writing this paper), and identify a set of selection cuts that would allow the DUNE near detector to measure the nu_mu -> nu_mu mu+ mu- cross section with a ~25% accuracy after running in neutrino and anti-neutrino modes for ~3 years each. This would lead to the most precise measurement of the trident process, surpassing the previous measurement by the CCFR collaboration. We show that this measurement would be highly sensitive to new physics, and, in particular, we find that the parameter space of models with gauged L_mu - L_tau that can explain the (g-2)_mu anomaly could be covered almost entirely. As a byproduct, a new Monte Carlo tool to generate neutrino trident events is made publicly available.

Citations (75)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.