Arc detection algorithm using Photo Multiplier Tubes

This paper presents an advanced algorithmic framework for enhanced detection of high-voltage discharge events (arcs) through photomultiplier tube (PMT) signal analysis, demonstrating substantial improvements in critical arc event classification and yield preservation. Arc detection accuracy is paramount for process control and equipment integrity in plasma-based semiconductor manufacturing. This optimization is especially critical as feature densities increase and critical dimensions decrease in advanced node semiconductor fabrication.