Software alignment for tracking detectors
By V. Blobel. 2006
183 citations recorded by the source corpus.
Subfields: Nuclear and High Energy Physics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/98838bd8cd6376ae8d3b3d72cc75b0004bc8d54e
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In Nuclear and High Energy Physics
- Cms Collaboration
- N. Serra
- J. Dreyling-Eschweiler
- C. Delaere
- V. Lemaitre
- Andrea Giammanco
- M. Pohl
- Alice Collaboration
In Statistical and Nonlinear Physics
Citations in the corpus
- Search for the lepton flavour violating decay μ+→e+γ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu ^+ \rightarrow (2016, unknown): “Millepede algorithm [29] and uses cosmic-rays reconstructed without magnetic field.”
- Identification of b-quark jets with the CMS experiment (2012, background): “minimum bias collisions [35, 36], and is regularly monitored.”
- Performance of the EUDET-type beam telescopes (2016, methodology): “In addition, precise offline detector alignment can be performed by minimising track residuals using the EUTelescope alignment processor which utilises the Millepede-II algorithm [25].”
- Identification of b-quark jets with the CMS experiment (2013, methodology): “The alignment of the CMS tracker is performed using a mixture of tracks from cosmic rays and minimum bias collisions [33, 34], and is regularly monitored.”
- Technical design of the phase I Mu3e experiment (2020, methodology): “There are efficient algorithms for the inversion of such gigantic sparse matrices, one of which is implemented in the Millepede II programme [123], which we are using.”