基于光子统计测量的单分子判别

Identifying single molecule based on the photon statistics

基于标准的Hanbury-Brown-Twiss探测方式下,研究了具有Poisson统计背景的实际单分子光子源与理想双分子系统的光子统计特性,通过比较分析二者在具有相同平均光子数n—时的Mandel参数,研究给出一种利用双光子的统计概率P(2)判别单分子的方法为P(2)<12(2-4-2n—)2.同时研究了单分子光子源的信号/背景比对分析结果的影响.

We theoretically study the photon counting statistics characterizations of the real single molecular photon source with a Poisson statistics background and that of an ideal double molecular system based on the standard HBT detection. Mandel parameter Q of each source with the same mean photons n^- was analyzed. We have obtained an efficient method to identify single by the two-photon statistics probability P（2）, which shows the relation P（2）〈1/2（2-√4-2n^-）^2. Additionally, we molecule studied the effect of single-to-background ratio of the single molecular photon source on the criterion.