Simulation of temporal second-order correlation function based on Monte Carlo algorithm

  • Yongsheng Hu
  • , Tengfei Ma
  • , Danqun Mao
  • , Zhenyu Wang
  • , Weihang Zhou*
  • , Hongxing Xu
  • , Hongxing Dong
  • , Wei Xie*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The second-order correlation function of photons is the primary means to quantitatively describe the second-order coherence of a light field. In contrast to the stationary second-order correlation function, the temporal second-order correlation function can be used to study the second-order coherence of a transient light field. Based on the Monte Carlo algorithm, we carried out theoretical simulation on the temporal second-order correlation function from the perspective of photon statistics. By introducing experimental factors into the simulation, such as intensity jitter of the light field and time resolution of the instruments, the effects of imperfect experimental conditions on the measurement of second-order correlation function have also been elucidated. Our results provide theoretical guidance and analysis methods for experimental measurements on the second-order coherence of light fields.

Original languageEnglish
Article number034204
JournalFrontiers of Physics
Volume20
Issue number3
DOIs
StatePublished - 2025

Keywords

  • Monte Carlo algorithm
  • autocorrelation
  • cross-correlation
  • temporal second-order correlation function

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