Erlangen 2026 – scientific programme
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T: Fachverband Teilchenphysik
T 30: Silicon Detectors III
T 30.2: Talk
Tuesday, March 17, 2026, 16:30–16:45, KH 01.012
The Production Database of the High-Granularity Timing Detector for the ATLAS Phase-II Upgrade — •Annika Stein1, Luca Cadamuro2, Martin Christiansen1, Frederic Fischer1, Jessica Höfner1, Yun-Ju Lu3, Lucia Masetti1, Yuan-Yen Peng4, Hendrik Smitmanns1, and Song-Ming Wang3 — 1Institut für Physik, Johannes Gutenberg-Universität Mainz — 2IJCLab, Frankreich — 3Academia Sinica, Taiwan — 4NTHU, Taiwan
The High-Granularity Timing Detector is being built as part of the Phase-II upgrade of ATLAS. It is based on Low-Gain-Avalanche-Detector sensors and provides the time of tracks in the forward region. Assembly and testing sites use the Production Database (ProdDB) to track components and their properties like measurements and part-to-part relations. To leverage dynamic updates of the ProdDB and local data, a python API client has been developed that ensures proper data structure and minimizes backend server load by running consistency checks on the client side before uploading. With the new user interface, we model the module assembly, module loading onto support units, and detector assembly processes. The tools integrate seamlessly into existing frameworks for quality control of modules (consisting of module PCB and two hybrids) as well as flexible PCB cables (flex tails). Applying module hybrid clustering algorithms on current-voltage curves to find matching components is possible. Furthermore, by running automated continuous integration pipelines, we also perform nightly reporting of part yields. In this presentation, the DB infrastructure, focusing on novel interface methods, will be explained.
Keywords: ATLAS detector; HGTD; Production Database; HL-LHC Upgrade; Detector Assembly