Data and analysis

Data path

Experiment runs publish typed data and image streams over ZeroMQ. Data clients subscribe to the channels they need; the Data Manager accumulates runs, writes HDF5 files and exposes live series to the GUI and web console. The message and property Hubs provide the same data to every client, so a plot, a notebook and a remote browser see one coherent experiment.

HDF5 structure

A run is archived with:

• the experiment and task identifiers;
• parameter values and scan definition;
• DAC/TTL settings and sequence metadata;
• scalar data series and image data;
• save-acknowledgement status and error information.

The file is self-describing: a run can be reconstructed and compared without the original GUI session.

Analysis modules

Quatm includes reusable analyses for common quantum-physics measurements:

• absorption imaging and optical density;
• ion / bright-spot detection;
• 1D and 2D Gaussian fits;
• skewed-Gaussian and multi-peak fits;
• ROI and line-profile extraction;
• averaging and histogram utilities.

Analysis can run from the Data Manager, from Python scripts, or on the analysis machine while acquisition continues. The same modules are used in the desktop GUI and in the web console.

Live monitoring

The Stream Monitor and image viewers follow data as it arrives. The history viewer, timeline and live plots are read-only clients: they cannot alter the experiment state. This makes them safe to open during operation and on remote machines.

Export

Data and fit results can be exported to CSV, images or publication-quality PDF. Export runs off the GUI thread, so large datasets do not freeze the interface.