Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2
Univ Mohamed Premier, Fac Sci, Oujda, Morocco.;LPTPM, Oujda, Morocco..
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.ORCID iD: 0000-0002-1253-8583
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Show others and affiliations
Number of Authors: 28662017 (English)In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 10, article id 673Article in journal (Refereed) Published
Abstract [en]

With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of high-energy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb(-1) of data collected by the ATLAS experiment and simulation of proton-proton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 TeV. The impact of charged-particle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 GeV is quantified using a novel, data-driven, method. The method uses the energy loss, dE/dx, to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, themeasured fraction that fail to be reconstructed is 0.061 +/- 0.006 (stat.) +/- 0.014 (syst.) and 0.093 +/- 0.017 (stat.) +/- 0.021 (syst.) for jet transverse momenta of 200-400 GeV and 1400-1600 GeV, respectively.

Place, publisher, year, edition, pages
SPRINGER , 2017. Vol. 77, no 10, article id 673
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-351779DOI: 10.1140/epjc/s10052-017-5225-7ISI: 000429045200001PubMedID: 29081711OAI: oai:DiVA.org:uu-351779DiVA, id: diva2:1213367
Funder
Swedish Research CouncilWallenberg FoundationsEU, European Research CouncilEU, FP7, Seventh Framework ProgrammeEU, Horizon 2020
Note

For complete list of authors see http://dx.doi.org/10.1140/epjc/s10052-017-5225-7

Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-06-04Bibliographically approved

Open Access in DiVA

fulltext(2480 kB)44 downloads
File information
File name FULLTEXT01.pdfFile size 2480 kBChecksum SHA-512
0f6ca84c687fabce16203e44cc91223597aefe9fddb0f3714f24b7028080e01ac35d0476f8fd7cf5ec76b47857206e8757ce4b2f5d8a42c371d894c04b8f5fd7
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Bergeås Kuutmann, ElinBokan, PetarBrenner, RichardEkelöf, TordEllert, MattiasIsacson, MaxMårtensson, MikaelÖhman, HenrikSales De Bruin, Pedro
By organisation
High Energy Physics
In the same journal
European Physical Journal C
Subatomic Physics

Search outside of DiVA

GoogleGoogle Scholar
Total: 44 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 111 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf