Speaker
Description
High-intensity laser experiments require tight integration between camera acquisition, shot diagnostics, analysis, metadata capture, archiving, and experiment-control workflows. At Helmholtz Institute Jena, the POLARIS laser environment historically relied on standalone LabVIEW-based vision applications and manual operational workflows. In cooperation with S2Innovation, this software was migrated toward a modular, open-source, Python-based Tango Controls architecture designed for reproducible diagnostics and experiment orchestration.
This contribution presents HIJ-pyVision, a modular software stack for real-time GenICam / GenTL camera integration in laser laboratories. The stack includes a universal Tango camera device server for frame acquisition and HDF5 storage, an event-driven metrics device server, Taurus/Qt widgets for live image display and ROI editing, a searchable GenICam settings tree, and Sardana integration for scan-based acquisition.
Analysis components are implemented through an expandable plugin pattern, enabling metrics to be computed from image data and published as Tango events with the original image timestamp. Sardana scan output and SciCat-compatible shot metadata can form a reproducible experiment-data workflow. A dedicated Sardana controller integrates the camera device server into scans, while a data-collector device server captures configurable Tango attributes for each experimental shot.
The design is relevant to facilities seeking interoperable patterns between Tango, Sardana, Bluesky-like orchestration concepts, HDF5/NeXus data handling, and FAIR scientific metadata workflows.
