Abstract:

PyAcq is a Python-based data acquisition and visualization plaAorm developed for the BioXASImaging beamline at the Canadian Light Source. The beamline is dedicated to X-ray fluorescence microscopy and micro-X-ray absorption spectroscopy. The PyAcq plaAorm consists of several components. A Python-based EPICS-aware server fetches queued scans, executes them, and writes collected data to HDF5 files. Native EPICS applications provide the server with SSCAN records for step scans, hardware-driven fly scans, and a beamline configuration wrapper. A Python-based client (GUI), decoupled from EPICS, connects to the server. The client configures scans, queues them, and visualizes results. Users can dynamically adjust the region of interest in the X-ray fluorescence spectra to visualize specific elements in a sample and input mathematical functions to modify displayed images. These modifications can be applied and visualized on both running and completed scans. Finally, the client can operate in stand-alone mode to visualize and
inspect completed scans.