Alignment of the ALICE Inner Tracking System with cosmic-ray tracks
ALICE Collaboration

TL;DR
This paper details the alignment process of the ALICE Inner Tracking System using cosmic-ray tracks, achieving high precision in sensor positioning crucial for accurate particle detection at the LHC.
Contribution
It introduces a comprehensive alignment procedure combining survey data and track-based methods, including the Millepede approach, for the complex ITS detector.
Findings
Achieved alignment precision below 10 microns in some detector layers.
Successfully aligned 2198 sensor modules using cosmic-ray tracks.
Developed and validated an iterative local alignment method.
Abstract
ALICE (A Large Ion Collider Experiment) is the LHC (Large Hadron Collider) experiment devoted to investigating the strongly interacting matter created in nucleus-nucleus collisions at the LHC energies. The ALICE ITS, Inner Tracking System, consists of six cylindrical layers of silicon detectors with three different technologies; in the outward direction: two layers of pixel detectors, two layers each of drift, and strip detectors. The number of parameters to be determined in the spatial alignment of the 2198 sensor modules of the ITS is about 13,000. The target alignment precision is well below 10 micron in some cases (pixels). The sources of alignment information include survey measurements, and the reconstructed tracks from cosmic rays and from proton-proton collisions. The main track-based alignment method uses the Millepede global approach. An iterative local method was developed…
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