A MIDAS-based Data Acquisition System for Gaseous Detectors
Yuanchun Liu, Tao Li, Yu Chen, Ke Han, Leyan Li, Shaobo Wang, and Wei Wang

TL;DR
This paper introduces a MIDAS-based DAQ software tailored for gaseous detectors, enabling comprehensive data handling, real-time monitoring, and visualization, validated in the PandaX-III experiment.
Contribution
It develops a unified, web-enabled DAQ system for gaseous detectors, integrating configuration, data acquisition, decoding, storage, and real-time analysis functionalities.
Findings
Successfully deployed in PandaX-III experiment
Validated performance across different electronics setups
Enabled real-time visualization of signals and spectra
Abstract
We present a data acquisition~(DAQ) software based on the MIDAS framework, specifically for gaseous detectors to support the detector deployments and applications. It implements a comprehensive suite of functions, including parameter configuration, data acquisition, decoding, and storage, alongside web-based operation and real-time monitoring capabilities. We establish a fully unified workflow spanning data acquisition to offline analysis, enabling real-time visualization of signal waveforms and energy spectra. The system has been successfully deployed in the PandaX-III experiment, which utilized a high-pressure gaseous detector to search for neutrinoless double beta decay. Its performance and stability have been validated through tests involving two distinct electronics setups and joint commissioning with the detector.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
