Improved primary vertex finding for collider detectors

TL;DR

This paper explores advanced clustering techniques to enhance the accuracy and efficiency of primary vertex detection in collider experiments, crucial for particle physics analysis.

Contribution

It introduces improved clustering methods, including agglomerative clustering with fast search and Gaussian mixture models, for better primary vertex finding.

Findings

Enhanced vertex detection accuracy

Reduced computational time

Improved clustering robustness

Abstract

Primary vertex finding for collider experiments is studied. The efficiency and precision of finding interaction vertices can be improved by advanced clustering and classification methods, such as agglomerative clustering with fast pairwise nearest neighbor search, followed by Gaussian mixture model or k-means clustering.