Bibliographic Details
| Title: |
Sensitivity of two-body non-leptonic branching fractions to theoretical mass variations in heavy–light mesons. |
| Authors: |
Parmar, Manakkumar1 (AUTHOR) mgp.physica@gmail.com, Rai, Ajay Kumar1 (AUTHOR) raiajayk@gmail.com |
| Source: |
International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics. 5/20/2026, Vol. 41 Issue 14, p1-19. 19p. |
| Subjects: |
Meson decay, Branching ratios, Wave functions, Mesons, Factorization |
| Abstract: |
This study investigates the sensitivity of two-body nonleptonic branching fractions to theoretical mass variations in heavy-light mesons (D, D s , B and B s ). Utilizing the factorization framework, we compare predictions derived from phenomenological masses evaluated with Gaussian and hydrogenic wavefunctions. For bottom meson decays, naive factorization with the number of color N = 3 aligns well with experimental data, and the N → ∞ limit offers no improvement. Furthermore, the theoretical mass variation between wavefunction models induces a pronounced, nonlinear sensitivity in the branching fractions, establishing the accurate Gaussian mass as a crucial baseline. Conversely, in the charm sector, naive factorization is inherently limited by final-state interactions due to insufficient relativistic recoil. While the N → ∞ limit partially compensates for this, the systematically lower hydrogenic mass yields more accurate rates for several color-suppressed channels. This mass underestimation acts as a necessary kinematic regulator, cleanly offsetting the inflated amplitudes inherent to charm factorization. Ultimately, combining reliable Gaussian mass predictions with factorization provides a simple formalism extendable to the decay properties of unobserved exotics, such as excited B c mesons and T b b tetraquarks. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics 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.) |
| Database: |
Engineering Source |