24–29 Oct 2022
Hoam Faculty House at Seoul National University, Seoul, KOREA
Asia/Seoul timezone

Direct Measurement of Nuclear Effects in QE-like Neutrino Scattering at MINERvA

26 Oct 2022, 09:45
25m
Convention Center (Hoam Faculty House at Seoul National University, Seoul, KOREA)

Convention Center

Hoam Faculty House at Seoul National University, Seoul, KOREA

Seoul National University Hoam Faculty House 1 Gwanak-ro, Gwanak-Gu, Seoul, Korea

Speakers

Dr Jeffrey Kleykamp (University of Mississippi)Prof. Steven Manly (University of Rochester)

Description

The MINERvA experiment at Fermilab presents results from several analyses of quasielastic-like (QE-like) $\nu_{\mu}$ interactions on a variety of nuclear targets in the NuMI neutrino beams. In the low energy ($<$E$_{\nu}>\sim$3 GeV) beam, components of the muon-proton momentum imbalance, \tkidptx ~and \tkidpty, are used to probe Fermi motion, binding energy, and non-QE contributions in scintillator. In the medium energy ($<$E$_{\nu}>\sim$6 GeV) beam, the statistical power of the sample is apparent as QE-like 2-d cross section results on C, CH, H$_{2}$O, Fe, and Pb targets are presented in bins of muon longitudinal and transverse momentum. Cross section ratios of each target relative to scintillator are also shown. In a subset of these medium energy events where protons are cleanly reconstructed, cross section and cross section ratio results on each of the five nuclear targets are presented as a function of muon, proton, and transverse kinematic imbalance variables. The results from each of the three presented analyses are sensitive to nuclear effects. All of the presented observations are compared to predictions from a series of widely used neutrino event generators with different options and tunes. Qualitatively, the spread of simulated results tends to cover the data. However, none of the simulations consistently describe the data. While some of the trends and comparisons will be discussed, an important aim of this talk is to demonstrate for the neutrino community the breadth of these results and their potential utility for constraining models.

Co-author

Prof. Steven Manly (University of Rochester)

Presentation materials