BOLT: beamline operations and learning testbed for EPICS and Bluesky integration

WEMR014
24 Sept 2025, 15:33
3m
Red Lacquer Room (Palmer House Hilton Chicago)

Red Lacquer Room

Palmer House Hilton Chicago

17 East Monroe Street Chicago, IL 60603, United States of America
Poster Presentation with Mini Oral MC14: Digital Twins & Simulation WEMR Mini-Orals (MC13, MC14, MC15)

Speaker

Johannes Mahl (Lawrence Berkeley National Laboratory)

Description

The Beamline Operations and Learning Testbed (BOLT) is a portable, cost-effective platform developed at the Advanced Light Source, inspired by a similar device developed at Diamond Light Source, to test experimental control systems without disrupting user operations. BOLT simulates a beamline endstation with minimal hardware (two motors, one detector) while implementing the complete EPICS/ Bluesky software stack. This testbed serves two purposes: firstly, developers can prototype new control software, user interfaces, and infrastructure layouts, e.g. virtualizing beamline computers, and secondly, beamline scientists and users can safely explore new developments and provide feedback before production deployment. This approach is intended to improve usability and accelerate adoption. To help lower the barrier of entry for facilities interested in adoption, we will open-source CAD models, wiring diagrams, and bill of materials. In terms of experimental technique, BOLT implements photogrammetry (3D reconstruction from images), conceptually similar to tomography but using reflected rather than transmitted signals. We demonstrate the system running on a terminal-based EPICS/ Bluesky integration, a browser-based interface developed in-house and presented in a separate contribution, as well as the traditional LabVIEW-based ALS controls system. By creating a safe learning environment, BOLT aims to accelerate the adoption of open-source controls tools across the synchrotron community.

Author

Johannes Mahl (Lawrence Berkeley National Laboratory)

Co-authors

Seij De Leon (Lawrence Berkeley National Laboratory) Manuel Garces (Lawrence Berkeley National Laboratory) Lee Yang (Lawrence Berkeley National Laboratory) Martin Keller (Lawrence Berkeley National Laboratory) Krzysztof Lazarski (Lawrence Berkeley National Laboratory) Damon English (Lawrence Berkeley National Laboratory) Alex Hexemer (Lawrence Berkeley National Laboratory) Dylan McReynolds (Lawrence Berkeley National Laboratory)

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