Real Time Data Analysis With the ATLAS Trigger at the LHC in Run-2

Beauchemin, Pierre-Hugues

doi:10.1109/tns.2020.2967761

Title: Real Time Data Analysis With the ATLAS Trigger at the LHC in Run-2

Abstract

The trigger selection capabilities of the ATLAS detector have been significantly enhanced for the LHC Run- 2 in order to cope with the higher event rates and with the large number of simultaneous interactions (pile-up) per protonproton bunch crossing. A new hardware system, designed to analyse real time event-topologies at Level-1 came to full use in 2017. A hardware-based track reconstruction system, expected to be used real-time in 2018, is designed to provide track information to the high-level software trigger at its full input rate. The high-level trigger selections are largely relying on offline-like reconstruction techniques, and in some cases multivariate analysis methods. Despite the sudden change in LHC operations during the second half of 2017, which caused an increase in pile-up and therefore also in CPU usage of the trigger algorithms, the set of triggers (so called trigger menu) running online has undergone only minor modifications thanks to the robustness and redundancy of the trigger system, and the use of a levelling luminosity scheme in agreement with LHC and other experiments. Here, this presentation gives a brief yet comprehensive review of the real-time performance of the ATLAS trigger system in 2017. Considerations will be presented on the most relevantmore »« less

Authors:

^[1]

Tufts Univ., Medford, MA (United States)

Publication Date:: Mon Jan 20 00:00:00 EST 2020

Research Org.:: Tufts Univ., Medford, MA (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

OSTI Identifier:: 1784626

Grant/Contract Number:: SC0001781

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Nuclear Science

Additional Journal Information:: Journal Volume: 67; Journal Issue: 9; Journal ID: ISSN 0018-9499

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; trigger; ATLAS; detector; performance; large hadron collider (LHC); run-2; upgrade

Citation Formats


                    Beauchemin, Pierre-Hugues. Real Time Data Analysis With the ATLAS Trigger at the LHC in Run-2.  United States: N. p., 2020. 
Web.  doi:10.1109/tns.2020.2967761.

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                    Beauchemin, Pierre-Hugues. Real Time Data Analysis With the ATLAS Trigger at the LHC in Run-2.  United States.  https://doi.org/10.1109/tns.2020.2967761

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                    Beauchemin, Pierre-Hugues. Mon .  
"Real Time Data Analysis With the ATLAS Trigger at the LHC in Run-2".  United States.  https://doi.org/10.1109/tns.2020.2967761.  https://www.osti.gov/servlets/purl/1784626.

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@article{osti_1784626,

  title        = {Real Time Data Analysis With the ATLAS Trigger at the LHC in Run-2},

  author       = {Beauchemin, Pierre-Hugues},

  abstractNote = {The trigger selection capabilities of the ATLAS detector have been significantly enhanced for the LHC Run- 2 in order to cope with the higher event rates and with the large number of simultaneous interactions (pile-up) per protonproton bunch crossing. A new hardware system, designed to analyse real time event-topologies at Level-1 came to full use in 2017. A hardware-based track reconstruction system, expected to be used real-time in 2018, is designed to provide track information to the high-level software trigger at its full input rate. The high-level trigger selections are largely relying on offline-like reconstruction techniques, and in some cases multivariate analysis methods. Despite the sudden change in LHC operations during the second half of 2017, which caused an increase in pile-up and therefore also in CPU usage of the trigger algorithms, the set of triggers (so called trigger menu) running online has undergone only minor modifications thanks to the robustness and redundancy of the trigger system, and the use of a levelling luminosity scheme in agreement with LHC and other experiments. Here, this presentation gives a brief yet comprehensive review of the real-time performance of the ATLAS trigger system in 2017. Considerations will be presented on the most relevant parameters of the trigger (efficiency to collect signal and output data rate) as well as details on some aspects of the algorithms which are run real-time on the High Level Trigger CPU farm.},

  doi          = {10.1109/tns.2020.2967761},

  journal      = {IEEE Transactions on Nuclear Science},

  number       = 9,

  volume       = 67,

  place        = {United States},

  year         = {Mon Jan 20 00:00:00 EST 2020},

  month        = {Mon Jan 20 00:00:00 EST 2020}

}

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Works referenced in this record:

Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
journal, July 2017

Aad, G.; Abbott, B.; Abdallah, J.
The European Physical Journal C, Vol. 77, Issue 7
DOI: 10.1140/epjc/s10052-017-5004-5

Jet trimming
journal, February 2010

Krohn, David; Thaler, Jesse; Wang, Lian-Tao
Journal of High Energy Physics, Vol. 2010, Issue 2
DOI: 10.1007/JHEP02(2010)084

Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data
journal, March 2012

Aad, G.; Abbott, B.; Abdallah, J.
The European Physical Journal C, Vol. 72, Issue 3
DOI: 10.1140/epjc/s10052-012-1909-1

Measurement of the W-boson mass in pp collisions at $$\sqrt{s}=7\, \hbox {TeV}$$ s = 7 TeV with the ATLAS detector
journal, February 2018

Aaboud, M.; Aad, G.; Abbott, B.
The European Physical Journal C, Vol. 78, Issue 2
DOI: 10.1140/epjc/s10052-017-5475-4

Performance of the ATLAS trigger system in 2015
journal, May 2017

Aaboud, M.; Aad, G.; Abbott, B.
The European Physical Journal C, Vol. 77, Issue 5
DOI: 10.1140/epjc/s10052-017-4852-3

The performance of the jet trigger for the ATLAS detector during 2011 data taking
journal, September 2016

Aad, G.; Abbott, B.; Abdallah, J.
The European Physical Journal C, Vol. 76, Issue 10
DOI: 10.1140/epjc/s10052-016-4325-0

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Title: Real Time Data Analysis With the ATLAS Trigger at the LHC in Run-2

Abstract

Citation Formats

Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 journal, July 2017

Jet trimming journal, February 2010

Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data journal, March 2012

Measurement of the W-boson mass in pp collisions at $$\sqrt{s}=7\, \hbox {TeV}$$ s = 7 TeV with the ATLAS detector journal, February 2018

Performance of the ATLAS trigger system in 2015 journal, May 2017

The performance of the jet trigger for the ATLAS detector during 2011 data taking journal, September 2016

Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
journal, July 2017

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Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data
journal, March 2012

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journal, February 2018

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journal, May 2017

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journal, September 2016