Search for anomalous quartic gauge couplings in the process $\mu^+\mu^-\to \bar{\nu}\nu\gamma\gamma$ with a nested local outlier factor
Ke-Xin Chen, Yu-Chen Guo, Ji-Chong Yang
SciPost Phys. Core 8, 091 (2025) · published 11 December 2025
- doi: 10.21468/SciPostPhysCore.8.4.091
- Submissions/Reports
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Abstract
In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future new physics (NP) phenomenological research. To improve efficiency, machine learning algorithms have been introduced into the field of high-energy physics. As a machine learning algorithm, the local outlier factor (LOF), and the nested LOF (NLOF) are potential tools for NP phenomenological studies. In this work, the possibility of searching for the signals of anomalous quartic gauge couplings (aQGCs) at muon colliders using the NLOF is investigated. Taking the process $\mu^+\mu^-\to \nu\bar{\nu}\gamma\gamma$ as an example, the signals of dimension-8 aQGCs are studied, expected coefficient constraints are presented. The event selection strategy uses unsupervised anomaly scores, with supervised optimization for EFT sensitivity. The NLOF algorithm is shown to outperform the k-means based anomaly detection methods, and a traditional counterpart.
Supplementary Information
External links to supplemental resources; opens in a new tab.
Authors / Affiliation: mappings to Contributors and Organizations
See all Organizations.- 1 Ke-Xin Chen,
- 1 Yu-Chen Guo,
- 1 Ji-Chong Yang
- National Key Research and Development Program of China (through Organization: Ministry of Science and Technology of the People's Republic of China [MOST])
- National Natural Science Foundation of China [NSFC]
