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DESY and Imperial College London collaborate to improve control of powerful plasma accelerators with AI
AI for controlling next generation accelerators improves potential for applications in research, medicine and industry.
An international team of accelerator experts with participation of researchers from DESY has successfully demonstrated that an algorithm was able to tune the complex parameters involved in controlling the next generation of plasma accelerators. The algorithm was able to optimize the accelerator much more quickly than a human operator. The experiments led by Imperial College London researchers were conducted at the Central Laser Facility at the STFC Rutherford Appleton Laboratory, UK. The results are published today in Nature Communications.
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Artificial intelligence improves control of powerful plasma accelerators
Researchers have used AI to control beams for the next generation of smaller, cheaper accelerators for research, medical and industrial applications.
Experiments led by Imperial College London researchers, using the Science and Technology Facilities Council s Central Laser Facility (CLF), showed that an algorithm was able to tune the complex parameters involved in controlling the next generation of plasma-based particle accelerators.
The algorithm was able to optimize the accelerator much more quickly than a human operator, and could even outperform experiments on similar laser systems.
These accelerators focus the energy of the world s most powerful lasers down to a spot the size of a skin cell, producing electrons and x-rays with equipment a fraction of the size of conventional accelerators.
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The plasma source for the accelerator
Researchers have used AI to control beams for the next generation of smaller, cheaper accelerators for research, medical and industrial applications.
Experiments led by Imperial College London researchers, using the Science and Technology Facilities Council’s Central Laser Facility (CLF), showed that an algorithm was able to tune the complex parameters involved in controlling the next generation of plasma-based particle accelerators.
The techniques we have developed will be instrumental in getting the most out of a new generation of advanced plasma accelerator facilities under construction within the UK and worldwide. Dr Rob Shalloo
The algorithm was able to optimize the accelerator much more quickly than a human operator, and could even outperform experiments on similar laser systems.
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