Day 1 :
The Universidad de Guadalajara, México
Keynote: Analytic α-Expressions for the proton charge radius, the proton to electron mass ratio and the elementary particles Wirkungsquantum
Time : 14:00-14:30
Emmanuel Saucedo Flores is a professor-researcher at the Universidad de Guadalajara, Jalisco, México and is involved in a Material Science doctoral program. He has over 20 years’ professional experience in the discrete semiconductors field at Motorola-On Semiconductor. He obtained his PhD title in Solid-State Physics at the CINVESTAV-IPN in Mexico City.
New expressions in terms of the proton charge radius are derived for the Sommerfeld or fine-structure constant, the proton to electron mass ratio and the Wirkungsquantum for both elementary particles. An ad hoc, small uncertainty numeric value for the proton charge radius was derived based on the currently accepted, high uncertainty value for which a small correction factor was found to be required during the derivation of the sought expressions. A quasi-exact match to the Planck constant quantum of action h was used as criteria to heuristically fine tune the numerical value of the proposed “new” proton charge radius. Definitions of the electron Wirkungsquantum and the proton Wirkungs quantum are disclosed.
Kazan Federal University, Russia
Keynote: The BK System: Soliton Dynamics in Media with Wave Field Stochastic Fluctuations (theory and applications)
Time : 14:30-15:00
Vasily Yu. Belashov, PhD (Radiophysics), DSci (Physics and Mathematics). He is Chief Scientist and Professor at the Kazan Federal University. He is author of 368 publications including 8 monographs.
The soliton dynamics in complex continuous media with the wave field's stochastic fluctuations which is described by the generalized equations of the Belashov-Karpman (BK) system including the Kadomtsev-Petviashvili (GKP) and the nonlinear Schrodinger (GNLS) classes of equations is studied analytically and numerically. In our investigations we take into account the generalizations relevant to various complex physical media including space plasma, atmosphere, hydrosphere, optical fibers and waveguides and other complex dispersive media, where the stochastic fluctuations of wave field takes place always, on a level with the high-order dispersion effects, influence of dissipation and instabilities of different types. The results on influence of Gaussian noise on structure, stability and interaction dynamics of the multidimensional nonlinear waves and solitons, when the waves and solitons are deformed during the propagation, acquiring oscillating structure are presented. The analysis of stability of solutions is based on study of transformational properties of the Hamiltonian of the corresponding system. The structure of possible multidimensional solutions and their collisional interaction is studied numerically. This is consistent representation of the both earlier known and new original results obtained by authors and also some generalizations in theory of the nonlinear waves and solitons in complex dispersive media with presence of stochastic fluctuations of the wave field. Some applications of obtained results in real physical media are presented.
Instituto Politécnico Nacional, México
Time : 15:00-15:30
Raul has completed his Master degree at the age of 25 years, currently he is studying his PhD from Centro de Investigación en computación of IPN. He is a teacher and he has published some papers.
Human curiosity towards astronomy in recent decades has allowed the development of great technological advances, which has helped to deepen the knowledge of celestial bodies. Unfortunately, there are still certain inconsistencies in the terminology and classification, therefore this paper proposes the possibility of an intelligent classification based on the features of celestial bodies instead of calculating their electromagnetic fields. Physical criteria are proposed obtained from the data bank of the Digital Sky Survey which was modified in the Kaggle data repository for discrimination between different body classes. The classification obtained has some advantages, especially in the reduction of time and lower computational cost on KNN (K Neighbors Classifier), SVM, Naive Bayes Classifier, Decision Tree Classifier and Random Forest Classifier.