Showing posts with label Monte Carlo methods. Show all posts
Showing posts with label Monte Carlo methods. Show all posts

Monday, 11 August 2025

Fundamental Mathematical Methods and Concepts | Chapter 1 | The Paradigm of Complex Probability and Markov Chains, Edition 1

 

In the current manuscript, we will apply to the well-known and established theory of Markov Chains my groundbreaking and novel Complex Probability Paradigm (or CPP) which will lead to a completely and perfectly deterministic expression of these stochastic processes in the universe of probabilities C = R + M. Consequently, it is important before “probing the depths” of Markov Chains, that we define in this chapter some essential mathematical concepts and fundamental tools and theorems that will be extensively used in the whole manuscript algorithms and C++ programs.

 

Author(s) Details

Abdo Abou Jaoudé
Department of Mathematics and Statistics, Faculty of Natural and Applied Sciences, Notre Dame University-Louaizé, Lebanon.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-48006-18-9/CH1

Thursday, 2 March 2023

Semiconductor Detectors for Dose Rate Measurement of Fission Products Mixture: A Recent Study | Chapter 10 | Recent Progress in Science and Technology Vol. 5

 The military dosimetric ploy DP-86 probe's experimental verification and computations for energy and angular reliance are presented in this place chapter. This device was forged to measure the gamma radiation dose rate of basic weapons fall out, that resources the fission products combination. Similarly, a rough estimate of the testing emission can be created. The device's time-reliant sensitivity to nuclear weapon radioactivity was calculated established these findings. Two theories were secondhand for the energy dependence forethoughts: Tabata´s and Moliére´s theory. The experimental proof used the 60Co, 137Cs and six screening X-indications mean values. The results were used according Gusev group´s theory to the splitting product mixture of 235U.

Author(s) Details:

Vladislav Pisa,
Faculty of Mechanical Engineering, Czech Technical University in Prague, Technicka 4, CZ-166 36 Prague, Czech Republic.

Bruno Sopko,
Faculty of Nuclear Science, Czech Technical University in Prague, Brehova 7, CZ-115 19 Prague, Czech Republic.

Vit Sopko,
Faculty of Nuclear Science, Czech Technical University in Prague, Brehova 7, CZ-115 19 Prague, Czech Republic.

Please see the link here: https://stm.bookpi.org/RPST-V5/article/view/9750