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Development of an Automated Assembly Line, DAQ Test Systems, and In-Beam Characterization of 2S Silicon Modules for the CMS Phase-2 Tracker Upgrade at the HL-LHC

par Khalilzadeh, Ali
Président du jury Toscano, Simona
Promoteur Vanlaer, Pascal
Co-Promoteur De Lentdecker, Gilles
Publication Non publié, 2025-10-14

Thèse de doctorat

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Résumé :

This thesis contributes to the preparation of the Phase-2 Upgrade of the CMS charged particle tracker for the High-Luminosity LHC (HL-LHC), which is expected to start operations in 2030.The work specifically focuses on the assembly and quality assurance testing of the so-called 2S modules. These modules consist of two silicon strip sensors (each measuring 10 cm × 10 cm) separated by a few millimeters, designed to provide input to the first-level trigger of CMS by correlating hit information from the two sensors. This thesis presents three main contributions.One of the main contributions is the development of a high-precision measurement system to allow the mechanical assembly of the modules to be made with high precision. This system enables the measurement of the positions of the module components relative to the assembly jigs in the X, Y, and Z directions with micrometer precision. Two different measurement methods were developed, tested, and compared. The most effective method has been adopted for use in the module production line in Brussels.The first fully assembled 2S module prototype produced in Brussels was tested in a high-rate particle beam at CERN. The beam test was conducted under atypical conditions, specifically using an asynchronous beam that does not replicate the synchronous environment of the LHC. The analysis of the module's performance under these conditions revealed behaviors that are particularly relevant for the MUonE experiment, which will also employ 2S tracker modules.Another contribution involves the development of a monitoring system that enables real-time measurement of the optical power transmitted by the 2S module within the module test setups. This system enhances the diagnostic capabilities and reliability of the quality assurance process during module testing.