Estimation of the chances to find new phenomena at the LHC in a model-agnostic combinatorial analysis
S. V. Chekanov
S. V. Chekanov
Nov 2023
0被引用
0笔记
摘要原文
In this paper, we estimate the number of event topologies that have the potential to be produced in $pp$ collisions at the Large Hadron Collider (LHC) without violating kinematic and other constraints. We use numeric calculations and combinatorics, guided by the large-scale Monte Carlo simulations of the Standard Model (SM) processes. Then we set the upper limit on the probability that a new physics may escape the detection assuming a model-agnostic approach. The calculated probability is surprisingly large, and the fact that the LHC did not find a new physics up to now is not entirely surprising. We argue that the most optimal direction for maximising the chances of finding new physics is to use unsupervised machine learning for anomaly detection.
