Bayesian Inference of Nuclear-Matter Density from Proton Scattering
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866915400681259008 |
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| author | Zamora, J. C. |
| author_facet | Zamora, J. C. |
| contents | Background: Proton elastic scattering at intermediate energy is widely employed as a tool for determining the matter radius of atomic nuclei. The sensitivity of the approach relies on high-resolution measurements at small scattering angles and low-momentum transfer. Under these conditions, the Glauber multiple scattering theory accurately describes the proton-nucleus elastic cross section.
Purpose: Investigate the sensitivity of the Glauber multiple scattering theory to uncertainties associated with input parameters such as the nuclear-matter density distribution and nucleon-nucleon data.
Method: A joint Bayesian inference was performed using 12 angular distributions of elastic scattering at different energies on ${}^{58}$Ni, ${}^{90}$Zr, and ${}^{208}$Pb targets. A Metropolis-Hastings algorithm was implemented to make an uncertainty quantification analysis for the input parameters used in the Glauber multiple scattering theory.
Results: The experimental cross sections were fitted simultaneously using a joint Bayesian inference approach. Posterior probability density distributions of 42 input parameters were obtained from the analysis. A moderate correlation between the nuclear density parameters and the nucleon-nucleon cross sections was found. This correlation impacts the extraction of the nuclear-matter radius.
Conclusions: The present analysis provided a consistent method for extracting the nuclear-matter density distribution of ${}^{58}$Ni, ${}^{90}$Zr, and ${}^{208}$Pb from data across different incident energies. Due to the correlation of the nucleon-nucleon cross sections with the other input parameters, a constrained Bayesian inference using free nucleon-nucleon cross section data was performed. The nuclear-matter radii obtained from the analysis are in good agreement with multiple results reported in the literature |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2507_14402 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bayesian Inference of Nuclear-Matter Density from Proton Scattering Zamora, J. C. Nuclear Theory Nuclear Experiment Background: Proton elastic scattering at intermediate energy is widely employed as a tool for determining the matter radius of atomic nuclei. The sensitivity of the approach relies on high-resolution measurements at small scattering angles and low-momentum transfer. Under these conditions, the Glauber multiple scattering theory accurately describes the proton-nucleus elastic cross section. Purpose: Investigate the sensitivity of the Glauber multiple scattering theory to uncertainties associated with input parameters such as the nuclear-matter density distribution and nucleon-nucleon data. Method: A joint Bayesian inference was performed using 12 angular distributions of elastic scattering at different energies on ${}^{58}$Ni, ${}^{90}$Zr, and ${}^{208}$Pb targets. A Metropolis-Hastings algorithm was implemented to make an uncertainty quantification analysis for the input parameters used in the Glauber multiple scattering theory. Results: The experimental cross sections were fitted simultaneously using a joint Bayesian inference approach. Posterior probability density distributions of 42 input parameters were obtained from the analysis. A moderate correlation between the nuclear density parameters and the nucleon-nucleon cross sections was found. This correlation impacts the extraction of the nuclear-matter radius. Conclusions: The present analysis provided a consistent method for extracting the nuclear-matter density distribution of ${}^{58}$Ni, ${}^{90}$Zr, and ${}^{208}$Pb from data across different incident energies. Due to the correlation of the nucleon-nucleon cross sections with the other input parameters, a constrained Bayesian inference using free nucleon-nucleon cross section data was performed. The nuclear-matter radii obtained from the analysis are in good agreement with multiple results reported in the literature |
| title | Bayesian Inference of Nuclear-Matter Density from Proton Scattering |
| topic | Nuclear Theory Nuclear Experiment |
| url | https://arxiv.org/abs/2507.14402 |