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Alignment of the ATLAS Inner Detector in Run 2

dc.contributor.authorMore than 100 authorsen_US
dc.date.accessioned2022-08-10T17:00:17Z
dc.date.available2022-08-10T17:00:17Z
dc.date.issued2020-12-24
dc.identifier.citationThe European Physical Journal C. 2020 Dec 24;80(12):1194
dc.identifier.urihttps://doi.org/10.1140/epjc/s10052-020-08700-6
dc.identifier.urihttps://hdl.handle.net/2027.42/173204en
dc.descriptionFor a complete list of authors, please look at article.en_US
dc.description.abstractAbstract The performance of the ATLAS Inner Detector alignment has been studied using pp collision data at $$\sqrt{s} = 13\,\hbox {TeV}$$ s = 13 TeV collected by the ATLAS experiment during Run 2 (2015–2018) of the Large Hadron Collider (LHC). The goal of the detector alignment is to determine the detector geometry as accurately as possible and correct for time-dependent movements. The Inner Detector alignment is based on the minimization of track-hit residuals in a sequence of hierarchical levels, from global mechanical assembly structures to local sensors. Subsequent levels have increasing numbers of degrees of freedom; in total there are almost 750,000. The alignment determines detector geometry on both short and long timescales, where short timescales describe movements within an LHC fill. The performance and possible track parameter biases originating from systematic detector deformations are evaluated. Momentum biases are studied using resonances decaying to muons or to electrons. The residual sagitta bias and momentum scale bias after alignment are reduced to less than $$\sim 0.1\hbox { TeV}^{-1}$$ ∼ 0.1 TeV - 1 and $$0.9\times 10^{-3}$$ 0.9 × 10 - 3 , respectively. Impact parameter biases are also evaluated using tracks within jets.
dc.titleAlignment of the ATLAS Inner Detector in Run 2
dc.typeJournal Article
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173204/1/10052_2020_Article_8700.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/4935
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dc.date.updated2022-08-10T17:00:13Z
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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