Vertexing Algorithms with the ATLAS Detector for the HL-LHC Upgrade

ORAL

Abstract

We evaluate and report on the performance of the standard vertexing algorithms used in the LHC Run 1 analyses for the ATLAS Experiment. In particular, we study the suitability of the Run 1 event categories in the high pile-up regime ($\langle\mu\rangle\sim 200$) and compare the current algorithms in terms of key metrics such as position resolution and track-vertex association. In this talk, we will discuss major features of the approaches to vertex reconstruction and their implications for vertexing in the HL-LHC upgrade, which will begin operation in mid-2026.

*This work was supported in part by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) under the Science Undergraduate Laboratory Internship (SULI) program.

Authors

  • Ian Lim

    • Lawrence Berkeley Natl Lab
  • Ben Nachman

    • Lawrence Berkeley Natl Lab
  • Maurice Garcia-Sciveres

    • Lawrence Berkeley Natl Lab