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- Particularly interesting is sensitivity to assumption of which
are chosen to be Poisson.
- Note the Poisson distribution with mean (number of
objects) , and where each object counts four units
(telephone calls, etc.), is much broader than ordinary Poisson of mean
, where each object gives a single unit.
- This is of importance in particle physics where
- We believe that ``clusters'' are produced
independently in a high energy collision.
- These clusters are (assumed to be) Poissonly distributed and
decay into final particles.
- One can show that if particles were produced in a Poisson
fashion singly, then
- mean for final particles is zero.
- However, in cluster model where one can assume are
distributed Gaussianly with the mean. is
always >0.
- Experimentally, one finds except when perturbed by
kinematic constraints.
- i.e., cluster model and experiment is broader than naive
Poisson.
Geoffrey Fox, Northeast Parallel Architectures Center at Syracuse University, gcf@npac.syr.edu