Speaker
Description
SLAC’s upgraded Linac Coherent Light Source (LCLS-II) promises transformative 1 MHz attosecond X-ray pulse generation. To meet the demands of high-rate attosecond characterization across multiple operational modes at LCLS-II, we showcase the data processing chain for the Multi-Resolution COokiebox (MRCO) detector--a circular array of 16 multichannel plate time-of-flight spectrometers optimized through independently controlled electron flight lenses and dedicated amplifiers for precise electron signal capture. MRCO’s data processing chain integrates analog and digital co-design with targeted edge-machine learning (ML) approaches. Traditional FPGA-friendly algorithms, such as the convolution-based and discrete cosine transform-based peak-finding methods, enable real-time spectral feature extraction. Additionally, ML techniques enable denoising, sub-spike identification, and temporal profile reconstruction, advancing single-shot diagnostics and attosecond resolution. This work lays the foundation for online diagnostics, shot rejection, and feedback to XFEL controls, with implications for time-resolved studies such as X-ray pump X-ray probe experiments.
Funding Agency
DOE under Contract No. DE-AC02-76SF00515 (LCLS), DE-SC0022559, DE-SC002246, and FWP 100498; NSF under Contract No. 2231334; DOD AFOSR under FA9550-23-1-0409; and DOD under ONR NDSEG Fellowship.
| Region represented | America |
|---|---|
| Paper preparation format | LaTeX |
