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RIS citation export for TUPOST009: Online Correction of Laser Focal Position Using FPGA-Based ML Models

TY  - CONF
AU  - Einstein-Curtis, J.A.
AU  - Barber, S.K.
AU  - Berger, C.E.
AU  - Coleman, S.J.
AU  - Cook, N.M.
AU  - Edelen, J.P.
AU  - van Tilborg, J.
ED  - Zimmermann, Frank
ED  - Tanaka, Hitoshi
ED  - Sudmuang, Porntip
ED  - Klysubun, Prapong
ED  - Sunwong, Prapaiwan
ED  - Chanwattana, Thakonwat
ED  - Petit-Jean-Genaz, Christine
ED  - Schaa, Volker R.W.
TI  - Online Correction of Laser Focal Position Using FPGA-Based ML Models
J2  - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022
CY  - Bangkok, Thailand
T2  - International Particle Accelerator Conference
T3  - 13
LA  - english
AB  - High repetition-rate, ultrafast laser systems play a critical role in a host of modern scientific and industrial applications. We present a prototype diagnostic and correction scheme for controlling and determining laser focal position at 10 s of Hz rate by utilizing fast wavefront sensor measurements from multiple positions to train a focal position predictor. This predictor is used to determine corrections for actuators along the beamline to provide the desired correction to the focal position on millisecond timescales. Our initial proof-of-principle demonstrations leverage pre-compiled data and pre-trained networks operating ex-situ from the laser system. We then discuss the application of a high-level synthesis framework for generating a low-level hardware description of ML-based correction algorithms on FPGA hardware coupled directly to the beamline. Lastly, we consider the use of remote computing resources, such as the Sirepo scientific framework* , to actively update these correction schemes and deploy models to a production environment.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 857
EP  - 860
KW  - laser
KW  - network
KW  - FPGA
KW  - controls
KW  - electron
DA  - 2022/07
PY  - 2022
SN  - 2673-5490
SN  - 978-3-95450-227-1
DO  - doi:10.18429/JACoW-IPAC2022-TUPOST009
UR  - https://jacow.org/ipac2022/papers/tupost009.pdf
ER  -