International audienceDead-time effects modify the statistical properties of point processes. For their analysis we define a point process by the intervals between successive points and we calculate their transformation by dead-time. It cannot be expressed in closed form but we show that it can be written in a recursive form. Using this recursion, various statistical properties of point processes with dead-time are analyzed. We focus on the probability distribution of the intervals between points and the coincidence function describing the second-order properties. For the rare processes where calculations are possible there is an excellent agreement between computer experiments and theory
Study of inter event time is a part of temporal point process modeling. In this study, temporal poi...
A point process (or counting process) is a type of random process for which any generic realization...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceDead-time effects modify the statistical properties of point processes. For th...
International audienceTime point processes can be analyzed in two different ways: by the number of p...
International audienceThe second order statistical properties of point processes are described by th...
This paper described a model for correcting deadtime effects in coincidence counting. The correction...
16 pagesInternational audienceA time point process can be defined either by the statistical properti...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
9 pagesInternational audienceThis paper presents an algorithmic method for measurements of relaxed s...
A point process can be fully described by its coincidence prob-abilities but the expressions giving ...
The subject of this paper is the investigation of the effect of the dead time on the statistics of t...
7 pagesInternational audienceThe point process, a sequence of random univariate random variables der...
The paper deals with the modifications in photocount distributions due to dead-time following every ...
AbstractWe consider a multivariate point process with a parametric intensity process which splits in...
Study of inter event time is a part of temporal point process modeling. In this study, temporal poi...
A point process (or counting process) is a type of random process for which any generic realization...
International audienceStationary renewal point processes are defined by the probability distribution...
International audienceDead-time effects modify the statistical properties of point processes. For th...
International audienceTime point processes can be analyzed in two different ways: by the number of p...
International audienceThe second order statistical properties of point processes are described by th...
This paper described a model for correcting deadtime effects in coincidence counting. The correction...
16 pagesInternational audienceA time point process can be defined either by the statistical properti...
A point process as the special type of a random stochastic process is a theoretical model for occurr...
9 pagesInternational audienceThis paper presents an algorithmic method for measurements of relaxed s...
A point process can be fully described by its coincidence prob-abilities but the expressions giving ...
The subject of this paper is the investigation of the effect of the dead time on the statistics of t...
7 pagesInternational audienceThe point process, a sequence of random univariate random variables der...
The paper deals with the modifications in photocount distributions due to dead-time following every ...
AbstractWe consider a multivariate point process with a parametric intensity process which splits in...
Study of inter event time is a part of temporal point process modeling. In this study, temporal poi...
A point process (or counting process) is a type of random process for which any generic realization...
International audienceStationary renewal point processes are defined by the probability distribution...