Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 01017 | |
Number of page(s) | 7 | |
Section | T1 - Online computing | |
DOI | https://doi.org/10.1051/epjconf/201921401017 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921401017
Triggering On Hadronic Signatures In The Atlas Experiment-Developments For 2017 And 2018
LIP, Departamento de Física, Universidade do Minho,
4710-057 Braga,
Portugal
* e-mail: e.gouveia@cern.ch
** From ATL-DAQ-PROC-2018-040. Published with permission by CERN.
Published online: 17 September 2019
Hadronic signatures are critical to the ATLAS physics program, and are used extensively for both the StandardModel 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 hugechallenge at the LHC due to the enormous rates associated with hadronic signatures. This challenge is exacerbated by the amount of pile-up activity, which continues to grow. In order to address these challenges, several new techniques were developed to significantly improve the potential of the 2017 dataset. An overview of how we triggeron hadronic signatures at the ATLAS experiment is presented, outlining the challenges of hadronic object triggering and describing the improvements performed over the course of the Run 2 LHC data-taking program. The performance in Run 2 data is shown, including demonstrations of the new techniques being used in 2017. We also discuss further critical developments implemented for the rest of Run 2 and their performance in early 2018 data.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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