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 ...
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 ...
Abstract: The performance of regularized least-squares estimation in noisy compressed sensing is analyzed in the limit when the dimensions of the measurement matrix grow large. The sensing matrix is ...
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 ...
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 ...
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 ...
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 ...
This code reproduces the data used in Random matrix theory of polarized light scattering in disordered media, N. Byrnes and M.R. Foreman, 2022. This code requires the ...
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 ...
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