title: Efficient time-sampling method in Coulomb-corrected strong-field approximation.
abstract: One of the main goals of strong-field physics is to understand the complex structures formed in the momentum plane of the photoelectron. For this purpose, different semiclassical methods have been developed to seek an intuitive picture of the underlying mechanism. The most popular ones are the quantum trajectory Monte Carlo (QTMC) method and the Coulomb-corrected strong-field approximation (CCSFA), both of which take the classical action into consideration and can describe the interference effect. The CCSFA is more widely applicable in a large range of laser parameters due to its nonadiabatic nature in treating the initial tunneling dynamics. However, the CCSFA is much more time consuming than the QTMC method because of the numerical solution to the saddle-point equations. In the present work, we present a time-sampling method to overcome this disadvantage. Our method is as efficient as the fast QTMC method and as accurate as the original treatment in CCSFA. The performance of our method is verified by comparing the results of these methods with that of the exact solution to the time-dependent Schrödinger equation.
authors.affiliation: State Key Laboratory for Mesoscopic Physics and School of Physics, Peking University, Beijing 100871, China.
authors.forename: Xiang-Ru
authors.initials: XR
authors.lastname: Xiao
authors.affiliation: State Key Laboratory for Mesoscopic Physics and School of Physics, Peking University, Beijing 100871, China.
authors.forename: Mu-Xue
authors.initials: MX
authors.lastname: Wang
authors.affiliation: State Key Laboratory for Mesoscopic Physics and School of Physics, Peking University, Beijing 100871, China.
authors.forename: Wei-Hao
authors.initials: WH
authors.lastname: Xiong
authors.affiliation: State Key Laboratory for Mesoscopic Physics and School of Physics, Peking University, Beijing 100871, China.|Collaborative Innovation Center of Quantum Matter, Beijing 100871, China.
authors.forename: Liang-You
authors.initials: LY
authors.lastname: Peng