Performance of the online track reconstruction and impact on hadronic triggers at the CMS High Level Trigger

TL;DR

This paper evaluates the performance of online track and vertex reconstruction algorithms in the CMS High Level Trigger, highlighting their impact on hadronic triggers and overall physics capabilities during high-luminosity LHC runs.

Contribution

It presents the performance assessment of online tracking algorithms and their influence on trigger efficiency and physics analysis in the CMS experiment.

Findings

Online tracking algorithms perform effectively under high pileup conditions.

Impact of tracking on b-tagging and jet reconstruction enhances trigger performance.

Proposed improvements aim to optimize trigger efficiency for Run II data taking.

Abstract

The trigger systems of the LHC detectors play a crucial role in determining the physics capabilities of the experiments. A reduction of several orders of magnitude of the event rate is needed to reach values compatible with the detector readout, offline storage and analysis capabilities. The CMS experiment has been designed with a two-level trigger system: the Level 1 (L1) Trigger, implemented on custom-designed electronics, and the High Level Trigger (HLT), a streamlined version of the CMS reconstruction and analysis software running on a computer farm. The software-base HLT requires a trade-off between the complexity of the algorithms, the sustainable output rate, and the selection efficiency. This is going to be even more challenging during Run II, with a higher centre-of-mass energy, a higher instantaneous luminosity and pileup, and the impact of out-of-time pileup due to the 25 ns bunch spacing. The online algorithms need to be optimised for such a complex environment in order to keep the output rate under control without impacting the physics efficiency of the online selection. Tracking, for instance, will play an even more important role in the event reconstruction. In this poster we will present the performance of the online track and vertex reconstruction algorithms, and their impact on the hadronic triggers that make use of b-tagging and of jets reconstructed with the Particle Flow technique. We will show the impact of these triggers on physics performance of the experiment, and the latest plans for improvements in view of the Run II data taking in 2015.