Bayesian Analysis of the $^{70}$Zn$(d, ^3\!\text{He}) ^{69}$Cu Transfer Reaction
C. Marshall, P. Morfouace, N. de S\'er\'eville, R. Longland

TL;DR
This paper integrates Bayesian methods with distorted wave Born approximation to quantify uncertainties in nuclear transfer reaction analysis, improving the reliability of spectroscopic factors and angular momentum assignments.
Contribution
It introduces a Bayesian framework to propagate uncertainties in transfer reaction analysis, enhancing the accuracy of spectroscopic factors and angular momentum transfer identification.
Findings
Large asymmetric uncertainties in spectroscopic factors (35-108%)
Bayesian model comparison confirms many angular momentum assignments
Data suggests reclassification of a state from ℓ=2 to ℓ=3 transfer
Abstract
Transfer reactions provide information about the single-particle nature of nuclear levels. In particular, the differential cross sections from these measurements are sensitive to the angular momentum of the transferred particle and the spectroscopic factor of the populated level. However, the process of extracting these properties is subject to uncertainties, both from experimental and theoretical sources. By integrating the distorted wave Born approximation into a Bayesian model, we propagate these uncertainties through to the spectroscopic factors and orbital angular momentum values. We use previously reported data of the proton pickup reaction ZnCu as an example. By accounting for uncertainties in the experimental data, optical model parameters, and reaction mechanism, we find that the extracted spectroscopic factors for low lying states of Cu…
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.
