Elements of the Theory of Markov Processes and Their ApplicationsGraduate-level text and reference in probability, with numerous scientific applications. Nonmeasure-theoretic introduction to theory of Markov processes and to mathematical models based on the theory. Appendixes. Bibliographies. 1960 edition. |
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Page 235
... photon has an energy greater than twice the rest energy of an electron , for in this case the photon can create a pair of electrons , one positive and one negative . This process is termed pair formation . The pair of electrons , if its ...
... photon has an energy greater than twice the rest energy of an electron , for in this case the photon can create a pair of electrons , one positive and one negative . This process is termed pair formation . The pair of electrons , if its ...
Page 236
... photons , could be interpreted in terms of such cascades . e e = electron p = photon e P ! IP 10 e e e \ P e e e e A e Figure 5.1 Schematic representation of an electron - photon cascade . In Sec . 5.2 we develop the theory of electron - ...
... photons , could be interpreted in terms of such cascades . e e = electron p = photon e P ! IP 10 e e e \ P e e e e A e Figure 5.1 Schematic representation of an electron - photon cascade . In Sec . 5.2 we develop the theory of electron - ...
Page 238
... Photon Cascades A. Introduction . In this section we consider the stochastic theory of electron - photon cascades . The first problem we consider is that of determining the mean number of electrons and photons produced in a given ...
... Photon Cascades A. Introduction . In this section we consider the stochastic theory of electron - photon cascades . The first problem we consider is that of determining the mean number of electrons and photons produced in a given ...
Other editions - View all
Elements of the Theory of Markov Processes and Their Applications A. T. Bharucha-Reid Limited preview - 2012 |
Elements of the Theory of Markov Processes and Their Applications Albert T. Bharucha-Reid Limited preview - 1997 |
Common terms and phrases
absorber Acad applications assume assumptions asymptotic birth process birth-and-death process boundary branching processes cascade process cascade theory coefficients collision consider counter defined denote the number denote the probability derive deterministic differential equation diffusion equations diffusion processes distribution function E₁ electron-photon cascades epidemic expression Feller finite fluctuation problem functional equation given Hence initial condition integral equation interval 0,t ionization Jánossy Kolmogorov equations Laplace transform Let the random machine Markov chain Markov processes Math mathematical matrix Mellin transform Messel method Monte Carlo methods neutron nucleon nucleon cascades number of individuals o(At obtain P₁ photon Phys Poisson process population probability distribution Proc queueing process queueing system r₁ r₂ radiation Ramakrishnan random variable random variable X(t recurrent satisfies Statist stochastic model Stochastic Processes t₁ t₂ Takács Theorem tion transition probabilities X₁ zero дх