Prospects for measuring C P violation in B s 0 → ϕ μ + μ − via a time-dependent angular analysis
Year: 2025
Type: article
Abstract: This work investigates the prospects for performing a time-dependent angular analysis of B s 0 → ϕ μ + μ − decays at hadron colliders, and introduces new optimized angular observables associated with B s 0 -mixing in the decay rate. The time-dependent normalized decay rate and corresponding probability density function is presented both for when the flavor of the B s 0 meson at production is tagged and when it is untagged. The normalized angular terms linked to B s 0 -mixing in the tagged (untagged) case are denoted Z i ( H i ), and their optimized counterparts as Q i ( M i ). The expected sensitivities of these observables at the end of Run 3, Run 4, and Run 5 of the LHC are determined using pseudoexperiments generated with a decay-time resolution, background level, and signal yield similar to those reported by the LHCb Collaboration. It is found that all observables can be extracted with Run 3 statistics, and that the H i and Z i observables have similar sensitivity, despite the former being suppressed by mixing terms. Moreover, the angular observables only accessible via flavor tagging, such as the equivalent of P 5 ′ in the B s 0 system, are found to exhibit sensitivities comparable to current measurements in B 0 → K * 0 μ + μ − decays once Run 5 datasets are available. Fits to the observables to extract the Wilson coefficients show a significant increase in precision when either the observables accessible via time-dependent analysis, or flavor tagging, are included. A marked increase in sensitivity to C P -violating short-distance effects is observed for a subset of the new optimized M i and Q i observables.
DOI: 10.1103/4wpp-rrxk
Authors: Sebastian Schmitt, Amr Elmarassy, Michele Atzeni, Eluned Smith
Institution: Massachusetts Institute of Technology
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Funder: National Science Foundation
OpenAlex ID: W4415966285
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