Algorithm to Obtain Inverse Potentials for α–α Scattering Using Variable Phase Approach

An algorithm has been developed with the purpose of obtaining inverse potentials, where the Riccati-type non-linear differential equation, also called phase equation, has been kept in tandem with the Variational Monte Carlo method. The optimization of Gaussian function parameters is achieved such that the experimental phase shifts are reproduced. The obtained SPS for various $$\ell $$ channels has been compared with experimental ones with mean absolute percentage error (MAPE) as a measure. The model parameters have been optimized by suitable optimization technique by looking for minimum value of MAPE. The results for $$\ell $$ = 0+, 2+, and 4+ partial waves have been obtained, to match with experimental SPS, with MAPE values of 2.9, 4.6, and 6.2, respectively, for data up to 23 MeV, while for higher states 6+, 8+, and 10+ has MAPE of 3.2, 4.5, and 5.9, respectively, for data from 53–120 MeV. On extrapolation for data in range $${{E}_{{\ell ab}}}$$ = 23–120 MeV, using the optimised parameters, the SPS are found to be in close agreement with experimental ones for the first three channels.

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Publication Details

Journal
Computational Mathematics and Mathematical Physics
Published
2024-10-01
DOI
https://doi.org/10.1134/s096554252470129x
Citations
3
Primary Topic
Nuclear physics research studies
Type
article
Field-Weighted Citation Impact
1.98
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article

Algorithm to Obtain Inverse Potentials for α–α Scattering Using Variable Phase Approach

Anil Khachi, Shikha Awasthi, O. S. K. S. Sastri, Lalit Kumar
3 citations
Computational Mathematics and Mathematical Physics
Nuclear physics research studies
1.98
article

Algorithm to Obtain Inverse Potentials for α–α Scattering Using Variable Phase Approach

Anil Khachi, Shikha Awasthi, O. S. K. S. Sastri, Lalit Kumar
article en
3 citations

Abstract

An algorithm has been developed with the purpose of obtaining inverse potentials, where the Riccati-type non-linear differential equation, also called phase equation, has been kept in tandem with the Variational Monte Carlo method. The optimization of Gaussian function parameters is achieved such that the experimental phase shifts are reproduced. The obtained SPS for various $$\ell $$ channels has been compared with experimental ones with mean absolute percentage error (MAPE) as a measure. The model parameters have been optimized by suitable optimization technique by looking for minimum value of MAPE. The results for $$\ell $$ = 0+, 2+, and 4+ partial waves have been obtained, to match with experimental SPS, with MAPE values of 2.9, 4.6, and 6.2, respectively, for data up to 23 MeV, while for higher states 6+, 8+, and 10+ has MAPE of 3.2, 4.5, and 5.9, respectively, for data from 53–120 MeV. On extrapolation for data in range $${{E}_{{\ell ab}}}$$ = 23–120 MeV, using the optimised parameters, the SPS are found to be in close agreement with experimental ones for the first three channels.

Computational Mathematics and Mathematical PhysicsVol. 64(10)
Chandigarh University (IN), Central University of Himachal Pradesh (IN), Punjab Engineering College (IN)
Openalex Percentile: Top 8%
Nuclear physics research studies
1.98
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