Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/129824
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Type: Journal article
Title: Alignment of the ATLAS Inner Detector in Run 2
Author: Aad, G.
Abbott, B.
Abbott, D.C.
Abud, A.A.
Abeling, K.
Abhayasinghe, D.K.
Abidi, S.H.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Acharya, B.S.
Achkar, B.
Adam, L.
Bourdarios, C.A.
Adamczyk, L.
Adamek, L.
Adelman, J.
Adersberger, M.
et al.
Citation: European Physical Journal C: Particles and Fields, 2020; 80(12):1-41
Publisher: Springer
Issue Date: 2020
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
G. Aad, B. Abbott, D. C. Abbott, A. Abed Abud, K. Abeling, D. K. Abhayasinghe ... et al.
Abstract: The performance of the ATLAS Inner Detector alignment has been studied using pp collision data at s√=13TeV 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 ∼0.1 TeV−1 and 0.9×10−3, respectively. Impact parameter biases are also evaluated using tracks within jets.
Description: Published: 24 December 2020
Rights: © CERN for the benefit of the ATLAS collaboration 2020, corrected publication 2020. This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecomm ons.org/licenses/by/4.0/. Funded by SCOAP3.
DOI: 10.1140/epjc/s10052-020-08700-6
Published version: http://dx.doi.org/10.1140/epjc/s10052-020-08700-6
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