Assessing the theory-data tension in neutrino-induced charged pion production: the effect of final-state nucleon distortion
Alexis Nikolakopoulos, Ra\'ul Gonz\'alez-Jim\'enez, Natalie Jachowicz,, Jos\'e Manuel Ud\'ias

TL;DR
This study investigates how final-state nucleon distortion affects neutrino-induced pion production cross sections, revealing a modest reduction but not resolving discrepancies with experimental data, highlighting the need for improved axial coupling measurements.
Contribution
It introduces a microscopic quantum mechanical approach using RDWIA to assess nucleon distortion effects in neutrino pion production, providing insights into existing experimental tensions.
Findings
Nucleon distortion reduces cross sections by up to 10%.
Shape of flux-averaged cross sections remains largely unchanged.
Discrepancies at low-Q^2 are not explained by nucleon distortion alone.
Abstract
Pion production on nuclei constitutes a significant part of the total cross section in experiments involving few-GeV neutrinos. Combined analyses of data on deuterium and heavier nuclei points to tensions between the bubble chamber data and the data of the MINERA experiment, which are often ascribed to unspecified nuclear effects. To understand the origin of these tensions, a microscopic quantum mechanical framework is needed to compute nuclear matrix elements. We use the local approximation to the relativistic distorted wave impulse approximation (RDWIA) to assess the role of final-state nucleon distortion. To perform this comparison under conditions relevant to neutrino experiments, we compute cross sections for the MINERA and T2K charged pion production datasets. The inclusion of nucleon distortion leads to a reduction of the cross section up to 10\%, but to no significant…
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.
