Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks
In this study, we solved the Schrödinger wave equation by using effective potential in an artificial neural network (ANN) for the mass spectrum of different charmonium states, including ηc, ψ2, χ2, and χ4. The ANN approach provides an efficient, more general, and continuous solution-approximating s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2024-01-01
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| Series: | Advances in High Energy Physics |
| Online Access: | http://dx.doi.org/10.1155/2024/5195790 |
| _version_ | 1797215093120827392 |
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| author | Tariq Mahmood Jumanah Ahmed Darwish Talab Hussain Maqsood Ahmed Rehan Ahmad Khan Sherwani |
| author_facet | Tariq Mahmood Jumanah Ahmed Darwish Talab Hussain Maqsood Ahmed Rehan Ahmad Khan Sherwani |
| author_sort | Tariq Mahmood |
| collection | DOAJ |
| description | In this study, we solved the Schrödinger wave equation by using effective potential in an artificial neural network (ANN) for the mass spectrum of different charmonium states, including ηc, ψ2, χ2, and χ4. The ANN approach provides an efficient, more general, and continuous solution-approximating strategy, thus eliminating the possibility of skipping any region of interest in mass spectroscopy. The close consistency of ANN results with the already-reported results from numerical and theoretical approaches and experimental ones shows the reliability and accuracy of the ANN approach. |
| first_indexed | 2024-04-24T11:24:35Z |
| format | Article |
| id | doaj.art-6da83aba4df14646b4302fcfd7d717ee |
| institution | Directory Open Access Journal |
| issn | 1687-7365 |
| language | English |
| last_indexed | 2024-04-24T11:24:35Z |
| publishDate | 2024-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Advances in High Energy Physics |
| spelling | doaj.art-6da83aba4df14646b4302fcfd7d717ee2024-04-11T00:00:03ZengHindawi LimitedAdvances in High Energy Physics1687-73652024-01-01202410.1155/2024/5195790Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural NetworksTariq Mahmood0Jumanah Ahmed Darwish1Talab Hussain2Maqsood Ahmed3Rehan Ahmad Khan Sherwani4Centre for High Energy PhysicsDepartment of Mathematics and StatisticsCentre for High Energy PhysicsCentre for High Energy PhysicsCollege of Statistical SciencesIn this study, we solved the Schrödinger wave equation by using effective potential in an artificial neural network (ANN) for the mass spectrum of different charmonium states, including ηc, ψ2, χ2, and χ4. The ANN approach provides an efficient, more general, and continuous solution-approximating strategy, thus eliminating the possibility of skipping any region of interest in mass spectroscopy. The close consistency of ANN results with the already-reported results from numerical and theoretical approaches and experimental ones shows the reliability and accuracy of the ANN approach.http://dx.doi.org/10.1155/2024/5195790 |
| spellingShingle | Tariq Mahmood Jumanah Ahmed Darwish Talab Hussain Maqsood Ahmed Rehan Ahmad Khan Sherwani Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks Advances in High Energy Physics |
| title | Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks |
| title_full | Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks |
| title_fullStr | Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks |
| title_full_unstemmed | Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks |
| title_short | Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks |
| title_sort | solving schrodinger wave equation for the charmonium spectrum using artificial neural networks |
| url | http://dx.doi.org/10.1155/2024/5195790 |
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