Properties from random matrix theory allow us to uncover naturally embedded signals from different data sets. While there are many parameters that can be changed, including the probability ...
In December 2019, the COVID-19 pandemic began, which has claimed the lives of millions of people around the world. This article presents a regional analysis of COVID-19 in Mexico. Due to comorbidities ...
Scientists analyzed each element of the neutrino mass matrix belonging to leptons and showed theoretically that the intergenerational mixing of lepton flavors is large. Furthermore, by using the ...
Probability distributions of different neutrino mass models. The horizontal axis shows the ordinary logarithm of the neutrino mass squared difference ratio, while the vertical axis shows their ...
1 Mathematics Department, Universidad de Guadalajara, CUCEI, Guadalajara, México. 2 Physics Department, Universidad de Guadalajara, CUCEI, Guadalajara, México. The main purpose of this work is to ...
In this project, we explore Random Matrix Theory and its unique mathematical physics. We demonstrate the universal statistical behavior of eigenvalues in random matrices. Sampling from 50,000 random ...
Scientists have used random matrix theory to theoretically show that neutrino mass hierarchy can be mathematically explained. Random matrix theory helps explain neutrino mass differences, supporting ...
Abstract: Random matrix theory has found many applications in physics, statistics and engineering since its inception. Although early developments were motivated by practical experimental problems, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback