Exploiting high-energy electron beams colliding into high-intensity laser pulses brings an opportunity to reach high values of the dimensionless rest-frame acceleration χ and thereby invoke processes described by str...Exploiting high-energy electron beams colliding into high-intensity laser pulses brings an opportunity to reach high values of the dimensionless rest-frame acceleration χ and thereby invoke processes described by strong-field quantum electrodynamics(SFQED).Measuring deviations from the results of Furry-picture perturbation theory in SFQED at high χ can be valuable for testing existing predictions,as well as for guiding further theoretical developments.Nevertheless,such experimental measurements are challenging due to the probabilistic nature of the interaction processes,dominating signals of low-χ interactions and limited capabilities to control and measure the alignment and synchronization in such collision experiments.Here we elaborate a methodology of using approximate Bayesian computations for drawing statistical inferences based on the results of many repeated experiments despite partially unknown collision parameters that vary between experiments.As a proof-of-principle,we consider the problem of inferring the effective mass change due to coupling with the strong-field environment.展开更多
基金support from the Swedish Research Council(Grant No.2017-05148 and No.201902376)provided by the National Academic Infrastructure for Supercomputing in Sweden(NAISS)at Tetralithpartially funded by the Swedish Research Council through grant agreement No.2022-06725
文摘Exploiting high-energy electron beams colliding into high-intensity laser pulses brings an opportunity to reach high values of the dimensionless rest-frame acceleration χ and thereby invoke processes described by strong-field quantum electrodynamics(SFQED).Measuring deviations from the results of Furry-picture perturbation theory in SFQED at high χ can be valuable for testing existing predictions,as well as for guiding further theoretical developments.Nevertheless,such experimental measurements are challenging due to the probabilistic nature of the interaction processes,dominating signals of low-χ interactions and limited capabilities to control and measure the alignment and synchronization in such collision experiments.Here we elaborate a methodology of using approximate Bayesian computations for drawing statistical inferences based on the results of many repeated experiments despite partially unknown collision parameters that vary between experiments.As a proof-of-principle,we consider the problem of inferring the effective mass change due to coupling with the strong-field environment.
