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Variation of electronic transition moment versus internuclear distance for NO (A^2∑→X^2Ⅱ) transition
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作者 张连水 张贵银 +2 位作者 杨晓冬 赵晓辉 李裔 《Chinese Optics Letters》 SCIE EI CAS CSCD 2003年第8期438-440,共3页
Two-photon laser-induced fluorescence spectrum (TP-LIF) of NO is obtained with a Nd:YAG pumped optical parametric generator and amplifier as radiation source. Spectral intensity distribution shows that the electronic ... Two-photon laser-induced fluorescence spectrum (TP-LIF) of NO is obtained with a Nd:YAG pumped optical parametric generator and amplifier as radiation source. Spectral intensity distribution shows that the electronic transition moment for NO (A2 X2II) transition varies significantly with inter-nuclear distance. The variation relationship of the electronic transition moment versus inter-nuclear distance is deduced with polyminal fit procedure. The spontaneous radiative coefficients for NO (A2X2II) transition from v' = 0,1 are obtained by combing this transition moment variation with the measurements of spontaneous radiative lifetime. 展开更多
关键词 of for Variation of electronic transition moment versus internuclear distance for NO A~2 X~2 TRANSITION
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Approximation for Counts of 2-runs in a Two State Markov Chain
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作者 Hui CHEN Mei ZHANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2013年第10期1907-1916,共10页
We consider a Markov chain X = {Xi, i = 1, 2,...} with the state space {0, 1}, and define W = ∑1=1^x XiXi+1, which is the number of 2-runs in X before time n + 1. In this paper, we prove that the negative binomial ... We consider a Markov chain X = {Xi, i = 1, 2,...} with the state space {0, 1}, and define W = ∑1=1^x XiXi+1, which is the number of 2-runs in X before time n + 1. In this paper, we prove that the negative binomial distribution is an appropriate approximation for LW when VarW is greater than EW. The error estimate obtained herein improves the corresponding result in previous literatures. 展开更多
关键词 Negative binomial distribution head run Stein's method total variation distance cou-pling
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Approximation for counts of head runs
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作者 ZHANG Mei 《Science China Mathematics》 SCIE 2011年第2期311-324,共14页
In this paper, we study the count of head runs up to a fixed time in a two-state stationary Markov chain. We prove that in total variance distance, the negative binomial, Poisson and binomial distributions are appropr... In this paper, we study the count of head runs up to a fixed time in a two-state stationary Markov chain. We prove that in total variance distance, the negative binomial, Poisson and binomial distributions are appropriate approximations according to the relation of the variance and mean of the count, generalizing earlier results in previous literatures. The proof is based on Stein's method and coupling. 展开更多
关键词 head run negative binomial distribution Poisson distribution binomial distribution Stein's method total variation distance coupling
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