Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
(2017) In European Physical Journal C 77(7).- Abstract
- The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature... (More)
- The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS. © 2017, CERN for the benefit of the ATLAS collaboration. (Less)
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- author
- organization
- publishing date
- 2017
- type
- Contribution to journal
- publication status
- published
- subject
- in
- European Physical Journal C
- volume
- 77
- issue
- 7
- article number
- 490
- publisher
- Springer
- external identifiers
-
- scopus:85026307625
- pmid:28943797
- ISSN
- 1434-6044
- DOI
- 10.1140/epjc/s10052-017-5004-5
- language
- English
- LU publication?
- yes
- additional info
- Export Date: 5 September 2017
- id
- 061eae6b-5e9d-4adf-a47a-4d2b421de373
- date added to LUP
- 2017-09-05 09:46:54
- date last changed
- 2023-04-07 22:22:21
@article{061eae6b-5e9d-4adf-a47a-4d2b421de373, abstract = {{The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS. © 2017, CERN for the benefit of the ATLAS collaboration.}}, author = {{Aad, G and Abbott, B. and Abdallah, J and Abdinov, O and Aben, R and Åkesson, Torsten and Bocchetta, Simona and BRYNGEMARK, LENE and Doglioni, Caterina and Floderus, Anders and Hawkins, Anthony and Hedberg, Vincent and Ivarsson, Jenny and Jarlskog, Göran and Lytken, Else and Mjörnmark, Ulf and Smirnova, Oxana and Viazlo, Oleksandr}}, issn = {{1434-6044}}, language = {{eng}}, number = {{7}}, publisher = {{Springer}}, series = {{European Physical Journal C}}, title = {{Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1}}, url = {{http://dx.doi.org/10.1140/epjc/s10052-017-5004-5}}, doi = {{10.1140/epjc/s10052-017-5004-5}}, volume = {{77}}, year = {{2017}}, }