PoS - Proceedings of Science
Volume 314 - The European Physical Society Conference on High Energy Physics (EPS-HEP2017) - Detector R&D and Data Handling (Poster Session). Scientific Secretary: Luciano Canton.
Hadronic triggers and trigger object-level analysis at ATLAS
D.R. Zaripovas*  on behalf of the ATLAS Collaboration
Full text: pdf
Pre-published on: November 26, 2017
Published on: March 20, 2018
Abstract
Hadronic signatures are critical to the high energy physics analysis program at the Large Hadron Collider (LHC), and are broadly used for both Standard Model measurements and searches for new physics. These signatures include generic quark and gluon jets, as well as jets originating from $b$-quarks or the decay of massive particles (such as electroweak bosons or top quarks). Additionally missing transverse momentum from non-interacting particles provides an interesting probe in the search for new physics beyond the Standard Model. Developing trigger selections that target these events is a huge challenge at the LHC due to the enormous event rates associated with these signatures. This challenge is exacerbated by the amount of pileup activity, which continues to grow. In order to address these challenges, several new techniques have been developed during the past year in order to significantly improve the potential of the 2017 dataset and overcome the limiting factors, such as storage and computing requirements for the analysis of this data.
This article presents an overview of how hadronic signatures are triggered at the ATLAS experiment, outlining the challenges of hadronic object triggering and describing the improvements performed over the course of the Run 2 LHC data-taking program, such as analysis of a compact data stream involving trigger-level objects, recorded at a higher rate than is possible for full event data. The performance in Run 2 data will be shown, including demonstrations of the new techniques being used in 2017. We also discuss further critical developments envisaged for the rest of Run 2.
DOI: https://doi.org/10.22323/1.314.0808
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