PvaPy streaming framework

PvaPy streaming framework enables real-time data processing and analysis for large-scale scientific facilities through a Python API built on the EPICS pvAccess protocol.

Key Features:

• Streaming data movement: Transfers data quickly from detectors to local or remote computing resources.
• Real-time processing: Analyzes and reconstructs data on demand to support dynamic experiment execution and modification.
• Performance optimization: Achieves high data-processing rates for various detector image sizes.
• EPICS pvAccess protocol integration: Leverages the EPICS pvAccess protocol for communication in scientific environments.

Scientific Applications:

• X-ray beamline data analysis: Processes increasing amounts of data collected at X-ray beamlines requiring real-time analysis.
• Dynamic experiment modification: Enables on-the-fly adjustments to experiments based on streaming data analysis results.
• Large-scale scientific facility integration: Supports real-time workflows at user facilities with advanced detector capabilities and new measurement techniques.

Methodology:

The framework is built on top of PvaPy, a Python API for the EPICS pvAccess protocol, with an architecture that moves data from detectors to computing resources, processes the data, and returns results to users.