Using a nested anomaly detection machine learning algorithm to study the neutral triple gauge couplings at an e+e? collider

Anomaly detection algorithms have been proved to be useful in the search of new physics beyond Standard Model. However, a prerequisite for using an anomaly algorithm is that signal sought indeed anomalous. This does not always hold true, example when interference between and Model becomes important. In this case, no longer detection. To overcome difficulty, we propose nested algorithm, which appears study neutral triple gauge couplings at CEPC, ILC FCC-ee. Our approach inherits advantages nested, while same time, it algorithm. As complement algorithms, can achieve better results on problems are