English

Leveraging intermediate resonances to probe CP violation at colliders

High Energy Physics - Phenomenology 2025-08-06 v2 High Energy Physics - Experiment

Abstract

We explore the phenomenological impact of interference in tree-level contributions to three-body final states in 232\to 3 scattering processes. This work introduces a novel search strategy leveraging asymmetries to enable sensitivity to CP-violating effects in less well-explored regions of phase space. Analytically, we demonstrate the effectiveness of this observable in probing interference between Standard Model charged-current decays and effective left-handed vector interactions, illustrated in a toy model featuring a scalar leptoquark, S1(3,1,1/3)S_1 \sim (3, 1, -1/3). Numerically, we apply this framework to studying the process ppbτνpp\to b \tau\nu; unlike traditional high-pTp_T searches or ``bump hunts", this approach utilizes an intermediate energy regime -- where new physics is neither light enough to be produced on shell or heavy enough to justify an effective field theory treatment. A proof-of-principle analysis at parton level demonstrates a percent-level asymmetry, with sensitivity also to BSM weak-CP phase. While the specific phase sensitivity is diminished at particle level due to showering and detector effects, a machine learning classifier can recover sensitively to the presence of SM-BSM interference, significantly outperforming standard analysis methods. Notably discrimination between BSM signal and SM background could be achieved at the 2σ\sigma level for the current LHC dataset and 8σ\sigma at the High-Luminosity LHC. Moreover, this asymmetry observable as defined can also be more broadly applied to other searches for CP-violation in 232\to 3 processes in present and future collider environments.

Keywords

Cite

@article{arxiv.2411.08714,
  title  = {Leveraging intermediate resonances to probe CP violation at colliders},
  author = {Innes Bigaran and Joshua Isaacson and Taegyun Kim and Karla Tame-Narvaez},
  journal= {arXiv preprint arXiv:2411.08714},
  year   = {2025}
}

Comments

25 pages, 10 figures. Improved analysis and resultant detection prospects, achieved by incorporating use of ML classifier. Published version

R2 v1 2026-06-28T19:58:29.746Z