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1)  scaled factorial moment
标度阶乘矩
1.
The scaled factorial moments of slow particles produced in 16O-Em at 3.
7AGeV16O-Em作用产生的慢粒子标度阶乘矩分布进行研究,得出间歇指数随矩阶数的增加而增加,随靶核质量的增加而减小:反常分形维数随q的增加而增加:对于每一个q值,dq随平均多重数的增加而减小,表明在3。
2.
7 A GeV 16O induced nuclear emulsion reaction is studied by using the scaled factorial moments methods.
本文利用标度阶乘矩方法,研究了3。
3.
The analytic results of one and two-dimensional scaled factorial moments indicate that the intermittent effect is stronger for two-dimensional analysis.
一维和二维标度阶乘矩的分析结果表明两维时的间歇效应较强,这与“喷注形”多粒子产生机制是不矛盾的。
2)  factorial moments order
阶乘矩序
1.
This paper investigated the relations among increasing convex[concave] order,Laplace transform order,moments generating function order,factorial moments order and moments order,in the end,takes the two point functions as an example to prove these relations.
主要讨论了增加凸(凹)序、拉普拉斯变换序、矩母函数序、阶乘矩序以及矩序之间的关系,最后以两点分布为例简单证明了这种关系。
3)  factorial moments
阶乘矩
1.
The effectiveness of factorial moments to identify processes under different control rules is investigated in this paper to present tools for identifying coded area.
探讨阶乘矩识别不同规律控制下过程的可行性,以期为DNA编码识别等提供可能的工具。
2.
By means of Factorial Moments (FM),the long range co relations embed in gait are investigated.
作为实例 ,采用阶乘矩研究步态涨落问题 。
3.
By means of the concept of factorial moments DNA sequences from yeast to identify coding and non coding regions were examined.
探讨阶乘矩识别不同规律控制下的过程的可行性 ,为 DNA分子编码区和非编码区的识别等提供可能的工
4)  factorial moment
阶乘矩
1.
It is studyed that factorial moment of high energy collisions multiparticle production in the phase spase of two dimension.
在二维相空间对高能强子 -强子碰撞末态粒子的阶乘矩进行了研究 ,验证了高能粒子碰撞末态粒子相空间二维自仿射分形的性质 ,测定了其分形指
2.
The method of removing statistics fluctuation with factorial moment was introduce and the cumulant variable able to even for distribution of multiparticle production was proved.
本文介绍了用阶乘矩能够消除统计起伏,证明引入累积变量后可使粒子数的分布变得均匀;给出了消除粒子间关联效应的方
3.
Deing the factorial moment analysis with non-integer partition M of phace space, the influence of the unflat distribution of two or more particle correlations has to be considered.
在对相空间用非整数分割作阶乘矩分析时,由二粒子或多粒子关联所引起的非均匀因素的影响必须加以认真考虑。
5)  factorial correlator
阶乘关联矩
6)  vertical factorial moment
横向阶乘矩
1.
The difference in the horizontal and vertical factorial moments is compared and studied using Monte-Carlo simulation.
用蒙特-卡洛模拟方法对纵向阶乘矩和横向阶乘矩进行了比较和研究。
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1.楷模。
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