Published May 15, 2024 | Version v1

Assembly, Testing and Performance Studies of Silicon Strip Modules for CMS Tracker Phase II Upgrade

Authors/Creators

  • 1. QuaidiAzam U

Contributors

Supervisor:

  • 1. QuaidiAzam U

Description

The Large Hadron Collider (LHC) is gearing up for an upgrade to transform into the High Luminosity LHC (HL-LHC) by 2028. This upgrade will create a more intense radiation environment within the detection systems. To cope with this, the CMS detector, a key part of the LHC, will undergo the Phase-2 upgrade which includes replacing the current Tracker with a new Silicon tracking system, split into two parts: the Outer Tracker and the Inner Tracker. The Outer Tracker will feature two types of modules, 2S (Strip-Strip) and PS (Pixel-Strip), which are based on a novel transverse momentum (pT) discrimination concept. The thesis work aims to establish assembly sites from scratch for producing 2S modules for the Outer Tracker. The development of assembly setups demonstrates positive outcomes in module assembly, from mechanical modules to functional silicon modules. The sensor-to-sensor mechanical tolerance limits are achieved well within 400~$\mu$rad rotationally, and 50~$\mu$m and 100~$\mu$m translationally, perpendicular and parallel to the strip direction, respectively. Additionally, successful development of IV and noise measurement setups for testing the modules' functionality post-assembly is achieved. Testing of functional prototype modules using these setups confirms the effectiveness of the assembly processes. Furthermore, the performance of a 2S module in a beam environment is evaluated by reconstructing and analyzing data from a DESY test beam using the Corryvreckan, an offline reconstruction framework. The study explores the potential of the user-friendly Corryvreckan framework for future test beam analysis, focusing on hit detection efficiency and stub efficiency for 2S modules. The obtained results show agreement within 1\% with previously established results using the EUTelescope offline reconstruction framework.

Files

CERN-THESIS-2024-148.pdf

Files (17.4 MB)

Name Size Download all
md5:349585ea2e851b30099ffdf2b78c87a8
17.4 MB Preview Download

Additional details

Identifiers

CDS
2910034
CDS Report Number
CERN-THESIS-2024-148

Related works

Is variant form of
Other: 2830173 (Inspire)

CERN

Linked records