Speaker
Description
Bluesky is a mini-ecosystem of co-developed but individually useful Python libraries for experiment control and data acquisition, management, and access. The project is developed and maintained by a multi-facility collaboration. The core includes a high-level hardware abstraction above EPICS, an experiment orchestration engine, a formally-defined schema for streaming data and metadata, and data access tools integrated with the open source scientific Python stack.
This talk will focus on recent developments building on that core, with an emphasis on new tools to support remote experiments---a topic of urgent current interest for obvious reasons. These developments include a bluesky web service and associated browser-based data acquisition interface; nascent web- and desktop-based UIs for data browsing; a component library integrating bluesky with popular existing applications; and leveraging Bluesky's first-class support for adaptive experiment logic to build smarter automation.
