Speaker
Description
Optimal beam parameters in high-power lasers and accelerators require active stabilization against environmental perturbations. Typically residing in the acoustic frequency band, these perturbations are corrected via piezo actuators or magnets. Common applications include coherent laser combining, laser pointing stabilization, resonance control in superconducting radio-frequency (SRF) cavities, and beam orbit regulation in storage rings. Recent experimental demonstrations of machine-learning-based stabilization in laser pointing and coherent laser combining have validated the concept of AI-enhanced active noise control. We present the Obsidian board, a general-purpose, open-source hardware platform and FPGA carrier designed for real-time control implementation. Supporting both Micro-Research Finland (MRF) timing and White Rabbit protocols, the Obsidian board interfaces with Low-Level Radio Frequency (LLRF) controllers or Beam Position Monitors (BPMs) through dedicated timing and Gigabit transceiver links. It executes hard real-time control algorithms while bridging MHz-to-kHz sampling rates for acoustic-band I/O. Key application demonstrations include MRF Event Generator (EVG) / Event Receiver (EVR) timing nodes, synchronous Machine Vision via a GeniCam camera interface, and laser pointing and coherence stabilization via FPGA-based ML pattern recognition.
| Abstract Classification | Control Hardware Platfroms |
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