JOURNAL ARTICLE

Quark model study of doubly heavy Ξ and Ω baryons via deep neural network and hybrid optimization.

  • Published In: Modern Physics Letters A, 2025, v. 40, n. 19/20. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ghalenovi, Zahra; Sorkhi, Masoumeh Moazzen; Sovizi, Amir Hossein 3 of 3

Abstract

In this work, we investigate the mass spectrum and semileptonic decays of double charm and bottom baryon states using the hypercentral quark model. We solve the six-dimensional Schrödinger equation via deep learning and particle swarm optimization techniques to improve the speed and accuracy. Then, we predict the masses of the ground and excited states of single and doubly heavy baryons. Working close to the zero recoil point, we also study the semileptonic decay widths and branching ratios of doubly heavy Ξ and Ω baryons for the b → c transitions. A comparison between our results and the evaluations of other theoretical models is also presented. Our predictions of mass spectrum and decay widths provide valuable information for the experiment searching for undiscovered heavy baryon states. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Modern Physics Letters A. 2025/06, Vol. 40, Issue 19/20, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:0217-7323
  • DOI:10.1142/S0217732325500610
  • Accession Number:185308936
  • Copyright Statement:Copyright of Modern Physics Letters A is the property of World Scientific Publishing Company 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.