The design and performance of the ATLAS Inner Detector trigger for Run 2 LHC Collisions at √s=13 TeV. / Kilby, Callum.

Journal of Physics: Conference Series. Vol. 762 2016. p. 1-5 (Journal of Physics: Conference Series).

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Abstract

The design and performance of the ATLAS Inner Detector trigger algorithms running online on the High Level Trigger processor farm with the LHC Run 2 data with collisions at both 50 ns and 25 ns are discussed. The HLT Inner Detector tracking algorithms are essential for the identification of nearly all physics signatures in the ATLAS trigger system. In order to deal with the expected higher rates for LHC Run 2, the Inner Detector trigger was redesigned during the 2013-15 long shutdown to satisfy the demands of the higher energy LHC operation. The detailed performance of the tracking algorithms with the Run 2 data taken in 2015 for the different trigger signatures in terms of both efficiency, and resolution is presented. The online processing times for running trigger tracking for the different trigger signatures are discussed in detail. Where appropriate, comparisons are made between the new strategies for Run 2, and the strategies adopted previously in Run 1. These comparisons demonstrate successful application and superior performance of the strategies adopted for Run 2.
Original languageEnglish
Title of host publication Journal of Physics: Conference Series
Pages1-5
Number of pages5
Volume762
DOIs
Publication statusE-pub ahead of print - 21 Nov 2016
Event17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research - UTFSM, Valparaíso, Chile
Duration: 18 Jan 201622 Jan 2016
Conference number: 17
https://indico.cern.ch/event/397113/

Publication series

NameJournal of Physics: Conference Series
PublisherIOP Publishing
ISSN (Print)1742-6588
ISSN (Electronic)1742-6596

Conference

Conference17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research
Abbreviated titleACAT 2017
CountryChile
CityValparaíso
Period18/01/1622/01/16
Internet address
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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