Speaker
Description
R&D on novel gaseous detector (GD) technologies is coordinated within the recently established DRD1 collaboration. As part of these efforts, the collaboration organises joint test-beam (TB) campaigns at a semi-permanent facility on the H4 beamline of CERN’s Super Proton Synchrotron (SPS). For these TBs, a common infrastructure is provided, including beam telescopes equipped with GD and SRS (Scalable Readout System) electronics for data acquisition.
In this contribution, we present a dedicated extension to the Corryvreckan reconstruction framework to support GD-based TBs. A new Event Loader module has been developed to enable VMM-based Micro-Pattern GD (MPGD) data analysis with Corryvreckan. The module provides the required interface between MPGD-specific data formats (specifically SRS/VMM3a) and Corryvreckan’s event-based processing, allowing the use of existing tools for alignment, online and offline tracking, data quality assurance, and monitoring. The module was validated using simulated datasets and subsequently deployed during real-time data-taking, where it provided essential feedback for detector operation and TB optimisation. The results obtained with this Event Loader show good agreement with those from an independent analysis approach.
Furthermore, this work complements parallel efforts within DRD1, integrating various technologies – including MPGDs, wire chambers, and RPCs – as well as other electronics, such as the APV25, highlighting the flexibility of Corryvreckan in effectively processing data from different ASICs.
By introducing a single, modular extension, nearly the full functionality of Corryvreckan is made available to gaseous detector TBs without modifying the core framework. This development demonstrates that Corryvreckan can be efficiently adapted to the requirements of GD-based telescopes, providing a unified and flexible solution for data analysis, online monitoring, and precision tracking in current and future DRD1 TB campaigns.