Automated Spectrometer Alignment via Machine Learning
The GE-VAC 1024 256 BI UV1 CCD camera from greateyes made a significant impact in cutting-edge research on automated spectrometer alignment using machine learning at the BESSY II Light Source at Helmholtz-Zentrum Berlin.
As part of an innovative project developing a soft X-ray spectrometer for fluorescence-detected absorption spectroscopy, the GE-VAC CCD camera is empowering researchers to capture ultra-clear, high-resolution images of metal L-edges, a critical step in advancing fields like catalysis and material science.
Boasting a resolution of 1024 × 256, a pixel size of 26 µm × 26 µm, and a 16-bit dynamic range, the GE-VAC delivers outstanding precision, even for the faintest fluorescence signals in complex, high-stakes experiments.
The paper discussing this research is entitled, “Automated spectrometer alignment via machine learning.”
Here is the Abstract of the paper:
During beam time at a research facility, alignment and optimization of instrumentation, such as spectrometers, is a time-intensive task and often needs to be performed multiple times throughout the operation of an experiment. Despite the motorization of individual components, automated alignment solutions are not always available. In this study, a novel approach that combines optimisers with neural network surrogate models to significantly reduce the alignment overhead for a mobile soft X-ray spectrometer is proposed. Neural networks were trained exclusively using simulated ray-tracing data, and the disparity between experiment and simulation was obtained through parameter optimization. Real-time validation of this process was performed using experimental data collected at the beamline. The results demonstrate the ability to reduce alignment time from one hour to approximately five minutes. This method can also be generalized beyond spectrometers, for example, towards the alignment of optical elements at beamlines, making it applicable to a broad spectrum of research facilities.
Features and benefits of GE-VAC In-Vacuum Cameras include:
- Compact size
With single flange for electrical and water cooling feedthroughs - Deep cooling down to -80°C
Low dark current for better detection limit - UHV compatibility
Housing fabricated in stainless steel or aluminum - GigE data interface
Local or remote network operation – your choice! - Flexible binning and crop modes
Achieved with scientific CCD sensors with ultra-low noise electronics - Flexible software options
Camera software and SDK’s available
To request more information or a quotation for greateyes products, contact IL Photonics.