Solving Schrödinger Wave Equation for the Charmonium Spectrum Using Artificial Neural Networks

Author:

Mahmood Tariq1ORCID,Darwish Jumanah Ahmed2,Hussain Talab1,Ahmed Maqsood1,Sherwani Rehan Ahmad Khan3

Affiliation:

1. Centre for High Energy Physics, University of the Punjab, Lahore, Pakistan

2. Department of Mathematics and Statistics, College of Science, University of Jeddah, Jeddah, Saudi Arabia

3. College of Statistical Sciences, University of the Punjab, Lahore, Pakistan

Abstract

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.

Publisher

Hindawi Limited

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