Extracting neutron skin from elastic proton-nucleus scattering with deep neural network
Based on the relativistic impulse approximation of proton-nucleus elastic scattering theory, the neutron density distribution and neutron skin thickness of 48Ca are estimated via the deep learning method. The neural-network-generated neutron densities are mainly compressed to be higher inside the nu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Physics Letters B |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0370269325000619 |
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| author | G.H. Yang Y. Kuang Z.X. Yang Z.P. Li |
| author_facet | G.H. Yang Y. Kuang Z.X. Yang Z.P. Li |
| author_sort | G.H. Yang |
| collection | DOAJ |
| description | Based on the relativistic impulse approximation of proton-nucleus elastic scattering theory, the neutron density distribution and neutron skin thickness of 48Ca are estimated via the deep learning method. The neural-network-generated neutron densities are mainly compressed to be higher inside the nucleus compared with the results from the relativistic PC-PK1 density functional, resulting in a significant improvement on the large-angle scattering observables, both for the differential cross section and analyzing power. The neutron skin thickness of 48Ca is captured to be 0.199(17) fm. The relatively thicker neutron skin is deemed reasonable from the perspective of density functional analysis. |
| format | Article |
| id | doaj-art-a4570c68b5dc46a5b1a17e2c4d94642b |
| institution | Kabale University |
| issn | 0370-2693 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Physics Letters B |
| spelling | doaj-art-a4570c68b5dc46a5b1a17e2c4d94642b2025-02-09T04:59:39ZengElsevierPhysics Letters B0370-26932025-03-01862139301Extracting neutron skin from elastic proton-nucleus scattering with deep neural networkG.H. Yang0Y. Kuang1Z.X. Yang2Z.P. Li3School of Physical Science and Technology, Southwest University, Chongqing 400715, ChinaSchool of Physical Science and Technology, Southwest University, Chongqing 400715, ChinaRIKEN Nishina Center, Wako 351-0198, Japan; School of Physical Science and Technology, Southwest University, Chongqing 400715, China; Corresponding author.School of Physical Science and Technology, Southwest University, Chongqing 400715, China; Corresponding author.Based on the relativistic impulse approximation of proton-nucleus elastic scattering theory, the neutron density distribution and neutron skin thickness of 48Ca are estimated via the deep learning method. The neural-network-generated neutron densities are mainly compressed to be higher inside the nucleus compared with the results from the relativistic PC-PK1 density functional, resulting in a significant improvement on the large-angle scattering observables, both for the differential cross section and analyzing power. The neutron skin thickness of 48Ca is captured to be 0.199(17) fm. The relatively thicker neutron skin is deemed reasonable from the perspective of density functional analysis.http://www.sciencedirect.com/science/article/pii/S0370269325000619 |
| spellingShingle | G.H. Yang Y. Kuang Z.X. Yang Z.P. Li Extracting neutron skin from elastic proton-nucleus scattering with deep neural network Physics Letters B |
| title | Extracting neutron skin from elastic proton-nucleus scattering with deep neural network |
| title_full | Extracting neutron skin from elastic proton-nucleus scattering with deep neural network |
| title_fullStr | Extracting neutron skin from elastic proton-nucleus scattering with deep neural network |
| title_full_unstemmed | Extracting neutron skin from elastic proton-nucleus scattering with deep neural network |
| title_short | Extracting neutron skin from elastic proton-nucleus scattering with deep neural network |
| title_sort | extracting neutron skin from elastic proton nucleus scattering with deep neural network |
| url | http://www.sciencedirect.com/science/article/pii/S0370269325000619 |
| work_keys_str_mv | AT ghyang extractingneutronskinfromelasticprotonnucleusscatteringwithdeepneuralnetwork AT ykuang extractingneutronskinfromelasticprotonnucleusscatteringwithdeepneuralnetwork AT zxyang extractingneutronskinfromelasticprotonnucleusscatteringwithdeepneuralnetwork AT zpli extractingneutronskinfromelasticprotonnucleusscatteringwithdeepneuralnetwork |