A novel method for reconstruction of collision vertices at high-intensity hadron colliders

Abstract

This paper presents a novel method for the reconstruction of interaction vertices in particle collision data. The algorithm is an agglomerative clustering technique designed for high-luminosity environments in current and future proton-proton colliders. Studies are presented in benchmark scenarios reproducing the LHC data-taking conditions and showing the performance as a function of the number of interactions per bunch crossing. Particular focus will be given to the foreseen data-taking conditions at the Run 3 of the LHC. The proposed algorithm is found to significantly improve the position resolution on the hard-scatter interaction by limiting the contamination of tracks from additional interactions in the vertex fit.

arXiv comment10 pages, 5 figures

References in corpus (9)

• Description and performance of track and primary-vertex reconstruction with the CMS tracker
• Identification of b-quark jets with the CMS experiment
• First Look at the Physics Case of TLEP
• Performance of $b$-Jet Identification in the ATLAS Experiment
• Performance of the CMS missing transverse energy reconstruction in pp data at sqrt(s) = 8 TeV
• Reconstruction of primary vertices at the ATLAS experiment in Run 1 proton-proton collisions at the LHC
• Performance of algorithms that reconstruct missing transverse momentum in $\sqrt{s}=$ 8 TeV proton-proton collisions in the ATLAS detector
• FCC Based Lepton-Hadron and Photon-Hadron Colliders: Luminosity and Physics
• Vertexing and Tracking Software at Belle II