Back to Search Start Over

Track Lab: extensible data acquisition software for fast pixel detectors, online analysis and automation

Authors :
Mánek, Petr
Burian, Petr
David-Bosne, Eric
Smolyanskiy, Petr
Bergmann, Benedikt
Source :
JINST 19 C01008 (2024)
Publication Year :
2023

Abstract

Fast, incremental evolution of physics instrumentation raises the question of efficient software abstraction and transferability of algorithms across similar technologies. This contribution aims to provide an answer by introducing Track Lab, a modern data acquisition program focusing on extensibility and high performance. Shipping with documented API and more than 20 standard modules, Track Lab allows complex analysis pipelines to be constructed from simple, reusable building blocks. Thanks to multi-threaded infrastructure, data can be clustered, filtered, aggregated and plotted concurrently in real-time. In addition, full hardware support for Timepix2, Timepix3 pixel detectors and embedded photomultiplier systems enables such analysis to be carried out online during data acquisition. Repetitive procedures can be automated with support for motorized stages and X-ray tubes. Freely distributed on 7 popular operating systems and 2 CPU architectures, Track Lab is a versatile tool for high energy physics research.<br />Comment: Proceedings of the 24th International Workshop on Radiation Imaging Detectors (IWORID 2023)

Details

Database :
arXiv
Journal :
JINST 19 C01008 (2024)
Publication Type :
Report
Accession number :
edsarx.2310.08974
Document Type :
Working Paper
Full Text :
https://doi.org/10.1088/1748-0221/19/01/C01008