LEADER 02866nam 22006255 450 001 9911009336803321 005 20250609142453.0 010 $a3-031-88083-8 024 7 $a10.1007/978-3-031-88083-4 035 $a(CKB)39239700600041 035 $a(MiAaPQ)EBC32151016 035 $a(Au-PeEL)EBL32151016 035 $a(DE-He213)978-3-031-88083-4 035 $a(OCoLC)1524419952 035 $a(EXLCZ)9939239700600041 100 $a20250609d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning Based Optimization of Laser-Plasma Accelerators /$fby Sören Jalas 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (210 pages) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5061 311 08$a3-031-88082-X 327 $aPrinciples of Laser-Plasma Acceleration -- Bayesian Optimization -- Bayesian Optimization of Plasma Accelerator Simulations -- Experimental Setup: The LUX Laser-Plasma Accelerator -- Bayesian Optimization of a Laser-Plasma Accelerator -- Tuning Curves for a Laser-Plasma Accelerator -- Conclusion. 330 $aThis book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian optimization to fine tune the parameters of the lux accelerator, encompassing simulations and real-time experimentation. In combination, the methods presented in this book provide valuable tools for effectively managing the inherent complexity of LPAs, spanning from the design phase in simulations to real-time operation, potentially paving the way for LPAs to cater to a wide array of applications with diverse demands. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5061 606 $aPlasma accelerators 606 $aMachine learning 606 $aParticle accelerators 606 $aMathematical optimization 606 $aPlasma-based Accelerators 606 $aMachine Learning 606 $aAccelerator Physics 606 $aOptimization 615 0$aPlasma accelerators. 615 0$aMachine learning. 615 0$aParticle accelerators. 615 0$aMathematical optimization. 615 14$aPlasma-based Accelerators. 615 24$aMachine Learning. 615 24$aAccelerator Physics. 615 24$aOptimization. 676 $a530.44 700 $aJalas$b Sören$01827863 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911009336803321 996 $aMachine Learning Based Optimization of Laser-Plasma Accelerators$94395988 997 $aUNINA