Numerical Construction of Parametrized Potentials for Nucleon-Alpha Inverse Scattering Using Variational Monte Carlo and Phase Function Method.
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| Title: | Numerical Construction of Parametrized Potentials for Nucleon-Alpha Inverse Scattering Using Variational Monte Carlo and Phase Function Method. |
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| Authors: | Kumar, Lalit1 (AUTHOR) lalitbijj409@gmail.com, Khachi, Anil2 (AUTHOR), Sastri, O. S. K. S.1 (AUTHOR) |
| Source: | Computational Mathematics & Mathematical Physics. Jun2025, Vol. 65 Issue 6, p1314-1327. 14p. |
| Subjects: | Potential functions, Nuclear cross sections, Nucleon-nucleon scattering, Iterative methods (Mathematics), Bound states, Monte Carlo method, Inverse scattering transform |
| Abstract: | Neutron and proton scattering with stable alpha particles can be represented as a two-particle system. In this work, we present a numerical algorithm developed to obtain parametric potentials of the inverse scattering problem by solving the Riccati-type non-linear differential equation, known as the phase equation, alongside the Variational Monte Carlo method. Local interaction potentials for the resonant and channels are constructed using the Morse potential, derived from scattering phase shift (SPS) data for neutron-alpha and proton-alpha scattering. The non-local interaction potential in the system is modeled using a screened Coulomb potential. The phase equation for the and channels is solved numerically using the fifth-order Runge–Kutta method. The parameters of the Morse function are optimized by minimizing the mean absolute percentage error (MAPE) between the calculated and experimental phase shifts, through an iterative process involving Monte Carlo sampling and variational techniques. This ensures the accurate reproduction of experimental SPS data. Resonance energies, obtained (experimental) from partial cross-section plots for the and states in the system, are 4.10 (4 ± 1) MeV and 0.93 (0.89) MeV, respectively, while for the system, they are 5.31 (5 ± 2) MeV and 1.97 (1.96) MeV. The total cross-section for the system is in agreement with values found in the literature. This study demonstrates the effectiveness of the proposed numerical algorithm for constructing parametric potentials and shows its ability to accurately reproduce phase shifts and cross-sections in line with experimental data. [ABSTRACT FROM AUTHOR] |
| Copyright of Computational Mathematics & Mathematical Physics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Numerical Construction of Parametrized Potentials for Nucleon-Alpha Inverse Scattering Using Variational Monte Carlo and Phase Function Method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kumar%2C+Lalit%22">Kumar, Lalit</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lalitbijj409@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Khachi%2C+Anil%22">Khachi, Anil</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sastri%2C+O%2E+S%2E+K%2E+S%2E%22">Sastri, O. S. K. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computational+Mathematics+%26+Mathematical+Physics%22">Computational Mathematics & Mathematical Physics</searchLink>. Jun2025, Vol. 65 Issue 6, p1314-1327. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Potential+functions%22">Potential functions</searchLink><br /><searchLink fieldCode="DE" term="%22Nuclear+cross+sections%22">Nuclear cross sections</searchLink><br /><searchLink fieldCode="DE" term="%22Nucleon-nucleon+scattering%22">Nucleon-nucleon scattering</searchLink><br /><searchLink fieldCode="DE" term="%22Iterative+methods+%28Mathematics%29%22">Iterative methods (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Bound+states%22">Bound states</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Inverse+scattering+transform%22">Inverse scattering transform</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Neutron and proton scattering with stable alpha particles can be represented as a two-particle system. In this work, we present a numerical algorithm developed to obtain parametric potentials of the inverse scattering problem by solving the Riccati-type non-linear differential equation, known as the phase equation, alongside the Variational Monte Carlo method. Local interaction potentials for the resonant and channels are constructed using the Morse potential, derived from scattering phase shift (SPS) data for neutron-alpha and proton-alpha scattering. The non-local interaction potential in the system is modeled using a screened Coulomb potential. The phase equation for the and channels is solved numerically using the fifth-order Runge–Kutta method. The parameters of the Morse function are optimized by minimizing the mean absolute percentage error (MAPE) between the calculated and experimental phase shifts, through an iterative process involving Monte Carlo sampling and variational techniques. This ensures the accurate reproduction of experimental SPS data. Resonance energies, obtained (experimental) from partial cross-section plots for the and states in the system, are 4.10 (4 ± 1) MeV and 0.93 (0.89) MeV, respectively, while for the system, they are 5.31 (5 ± 2) MeV and 1.97 (1.96) MeV. The total cross-section for the system is in agreement with values found in the literature. This study demonstrates the effectiveness of the proposed numerical algorithm for constructing parametric potentials and shows its ability to accurately reproduce phase shifts and cross-sections in line with experimental data. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computational Mathematics & Mathematical Physics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1134/S0965542525700563 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1314 Subjects: – SubjectFull: Potential functions Type: general – SubjectFull: Nuclear cross sections Type: general – SubjectFull: Nucleon-nucleon scattering Type: general – SubjectFull: Iterative methods (Mathematics) Type: general – SubjectFull: Bound states Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Inverse scattering transform Type: general Titles: – TitleFull: Numerical Construction of Parametrized Potentials for Nucleon-Alpha Inverse Scattering Using Variational Monte Carlo and Phase Function Method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, Lalit – PersonEntity: Name: NameFull: Khachi, Anil – PersonEntity: Name: NameFull: Sastri, O. S. K. S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09655425 Numbering: – Type: volume Value: 65 – Type: issue Value: 6 Titles: – TitleFull: Computational Mathematics & Mathematical Physics Type: main |
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