Measurement of the muon anti-neutrino double-differential cross section for quasi-elastic scattering on hydrocarbon at~$E_\nu \sim 3.5$ GeV
C. E. Patrick, L. Aliaga, A. Bashyal, L. Bellantoni, A. Bercellie, M., Betancourt, A. Bodek, A. Bravar, H. Budd, G. F. R. Caceres, M. F. Carneiro,, E. Chavarria, H. da Motta, S. A. Dytman, G. A. Diaz, J. Felix, L. Fields, R., Fine, A. M. Gago, R. Galindo, H. Gallager, A. Ghosh

TL;DR
This paper reports detailed measurements of anti-neutrino quasi-elastic scattering on hydrocarbon at around 3.5 GeV, improving previous results with enhanced reconstruction and modeling, and highlighting the importance of nuclear effects.
Contribution
It provides a comprehensive double-differential cross section measurement with updated algorithms and models, including multi-nucleon interactions and nuclear effects, advancing the understanding of anti-neutrino interactions.
Findings
Model agreement improves with a tuned nuclear model
Inclusion of multi-nucleon interactions enhances accuracy
Double-differential cross sections offer detailed kinematic insights
Abstract
We present double-differential measurements of anti-neutrino quasi-elastic scattering in the MINERvA detector. This study improves on a previous single differential measurement by using updated reconstruction algorithms and interaction models, and provides a complete description of observed muon kinematics in the form of a double-differential cross section with respect to muon transverse and longitudinal momentum. We include in our signal definition zero-meson final states arising from multi-nucleon interactions and from resonant pion production followed by pion absorption in the primary nucleus. We find that model agreement is considerably improved by a model tuned to MINERvA inclusive neutrino scattering data that incorporates nuclear effects such as weak nuclear screening and two-particle, two-hole enhancements.
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.
