Improved superscaling description of electron and charged-current neutrino quasielastic scattering using effective mass dynamics
V.L. Martinez-Consentino, P.R. Casale, J.E. Amaro

TL;DR
This paper introduces SuSAM-v2, an improved model for quasielastic electron and neutrino scattering that refines the scaling functions by fitting to experimental data and accounts for momentum transfer dependence, enhancing predictive accuracy.
Contribution
The paper develops SuSAM-v2, a refined superscaling model that separately fits longitudinal and transverse responses and incorporates momentum transfer dependence for better scattering predictions.
Findings
Accurately describes inclusive quasielastic electron scattering cross sections.
Improves neutrino-nucleus scattering predictions over previous models.
Requires explicit q-dependence in the transverse scaling function.
Abstract
We present an improved version of the Superscaling Analysis with Relativistic Effective Mass, denoted as SuSAM-v2. In the original SuSAM model, a universal scaling function was fitted to a selected set of quasielastic electron scattering (e,e') cross section data, using a phenomenological ansatz inspired by the Relativistic Mean Field model of nuclear matter. In this work, we refine the procedure by first fitting a longitudinal scaling function directly to experimental longitudinal response data. Subsequently, a separate transverse scaling function is extracted from purely transverse data, after subtracting the longitudinal contribution already determined. We find that the resulting transverse scaling function must exhibit an explicit dependence on the momentum transfer q in order to reproduce all kinematics consistently. The resulting SuSAM-v2 model simultaneously describes inclusive…
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.
