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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | Advances in High Energy Physics |
| Online Access: | http://dx.doi.org/10.1155/2024/5195790 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850222859767513088 |
|---|---|
| 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. |
| format | Article |
| id | doaj-art-6da83aba4df14646b4302fcfd7d717ee |
| institution | OA Journals |
| issn | 1687-7365 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in High Energy Physics |
| spelling | doaj-art-6da83aba4df14646b4302fcfd7d717ee2025-08-20T02:06:12ZengWileyAdvances 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 |
| work_keys_str_mv | AT tariqmahmood solvingschrodingerwaveequationforthecharmoniumspectrumusingartificialneuralnetworks AT jumanahahmeddarwish solvingschrodingerwaveequationforthecharmoniumspectrumusingartificialneuralnetworks AT talabhussain solvingschrodingerwaveequationforthecharmoniumspectrumusingartificialneuralnetworks AT maqsoodahmed solvingschrodingerwaveequationforthecharmoniumspectrumusingartificialneuralnetworks AT rehanahmadkhansherwani solvingschrodingerwaveequationforthecharmoniumspectrumusingartificialneuralnetworks |