CERN Accelerating science

Published Articles
Title	Least squares approach to the alignment of the generic high precision tracking system
Author(s)	Bruckman de Renstrom, Pawel (Oxford U. ; Cracow, INP) ; Haywood, S (Rutherford)
Publication	2006
Imprint	2005-09
Number of pages	4
In:	PHYSTATOS: Statistical Problems in Particle Physics, Astrophysics and Cosmology, Oxford, UK, 12 - 15 Sep 2005, pp.64-67
DOI	10.1142/9781860948985_0015
Subject category	Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Abstract	A least squares method to solve a generic alignment problem of a high granularity tracking system is presented. The algorithm is based on an analytical linear expansion and allows for multiple nested fits, e.g. imposing a common vertex for groups of particle tracks is of particular interest. We present a consistent and complete recipe to impose constraints on either implicit or explicit parameters. The method has been applied to the full simulation of a subset of the ATLAS silicon tracking system. The ultimate goal is to determine ≈35,000 degrees of freedom (DoF's). We present a limited scale exercise exploring various aspects of the solution.
Related document	Slides ATL-SLIDE-2008-021
Copyright/License	© 2006 by Imperial College Press

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