arXiv subjects

Alibordi Muhammad

Publications and source records attributed to Alibordi Muhammad.

3 recordsLinked to original sources

arXiv2026

Diffeomorphism Invariant Formulation of CP Violation

We identify a fundamental tension between the standard formulation of CP violation and diffeomorphism invariance in general relativity. The effective Hamiltonian approach, while phenomenologically successful, relies on a preferred time foliation that is incompatible with general covariance. The CP-violating phases are scalars along the worldline of the decaying parent particle; however, the definition of masses and phases presupposes a local covariant structure, which becomes ill-defined near the origin where curvature is large and metric fluctuations become significant. We propose an information-geometric framework based on relative entropy, exploiting pure quantum states in particle and antiparticle Hilbert spaces. We show how the Sakharov conditions could be reinterpreted in terms of information-geometric quantities, although a fully rigorous phenomenological implementation remains to be developed.

gr-qc↗

arXiv2025

Curvature-Aware Deep Learning for Vector Boson Fusion: Differential Geometry, Physics-Inspired Features, and Quantum Method Limitations

Particle physics classification often assumes flat geometry, ignoring the curved statistical structure of collision data. We present a geometric framework for Vector Boson Fusion Higgs classification that combines physics-inspired observables with product manifold neural networks. The method unifies Euclidean, hyperbolic, and spherical representations to capture nonlinear correlations among kinematic features. Geometric embedding yields measurable improvements over flat baselines, demonstrating that curvature-aware architectures recover information lost in standard approaches. The study highlights how incorporating geometric structure enhances discrimination power in high-energy collision data.

hep-ph↗

arXiv2025

High Luminosity LHC data collected by CMS experiment -- an excellent ground for the search of Rare Radiative $B_s^0$ meson decays: A Review

The High-Luminosity Large Hadron Collider (HL-LHC) provides unprecedented opportunities to study rare radiative decays in the flavor sector, particularly with the CMS experiment. This review focuses on the search for the challenging decay $B_s^0 \to \mu^+ \mu^- \gamma$, a flavor-changing neutral current process forbidden at tree level in the Standard Model. These decays probe Wilson coefficients C7, C9, and C10, which connect short-distance electroweak dynamics with long-distance hadronic effects. The main experimental difficulty is reconstructing low-pT photons (2-20 GeV) under extreme pile-up conditions ( ~ 60). We argue that collider data naturally live on curved statistical manifolds shaped by conservation laws, detector geometry, and kinematic constraints. The Fisher-Rao information metric captures this structure, suggesting that curvature-aware analysis methods may enhance sensitivity beyond traditional approaches. We outline a framework that links collider data hierarchies, information geometry, and quantum machine learning as a pathway for future searches for rare radiative B_s^0 decays at the HL-LHC.

hep-ex↗