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SUMMARY:LIGHT Seminar: Dr Kevin O’Keeffe\, Swansea University
DESCRIPTION:Advancing adaptive optics towards machine learning for laser-dr
 iven experiments\n \nShaping the field of a driving laser offers a powerf
 ul route to controlling highly nonlinear processes\, such as high harmonic
  generation (HHG)\, and lies at the heart of coherent control techniques.
   Adaptive optics elements\, such as deformable mirrors (DMs) or spatial 
 light modulators (SLMs)\, together with optimization routines are often us
 ed to control the properties of laser fields.  However\, the large parame
 ter space associated with these devices often makes conventional optimizat
 ion methods slow to converge.   \nFuture applications increasingly deman
 d the rapid generation and characterization of laser beams with complex sp
 atial and temporal profiles. As a result\, there has been growing interest
  in applying machine learning techniques to adaptive optics [1]. \nIn this
  talk\, I will first discuss experiments to control the brightness of a HH
 G source using spatially shaped pulses [2].   I will then present our re
 cent work combining adaptive optics with machine learning approaches\, inc
 luding neural networks and vision transformers\, for image-based wavefront
  sensing [3].\n\n[1] Guo et al. “Adaptive optics based on machine learni
 ng: a review” Opto-Electron Adv\, 5\, 200082 (2022)\n[2] Treacher et al.
   “Increasing the brightness of harmonic XUV radiation with spatially-t
 ailored driver beams”.  J. Opt. 23\, 015502 (2021)\n[3] O’Rourke and 
 O’Keeffe. “Dual-plane wavefront sensing using a vision transformer” 
 Opt. Express\, 34\, 6456\, (2026)
URL:https://www.imperial.ac.uk/events/206593/light-seminar-kevin-okeeffe-sw
 ansea/
DTSTART;TZID=Europe/London:20260304T150000
DTEND;TZID=Europe/London:20260304T160000
LOCATION:Level 6\, room 630\, Blackett Building\, South Kensington Campus\,
  Imperial College London\, London\, SW7 2AZ\, United Kingdom
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