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 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 ...

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 ...

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 ...

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 ...

Random Matrix Theory (RMT) has emerged as a potent framework to characterise the statistical properties of eigenvalues in large complex systems, bridging disciplines from quantum physics to number ...

Abstract: We make use of recent results from random matrix theory to identify a derived threshold, for isolating noise from image features. The procedure assumes the existence of a set of noisy images ...

What are Quantum Chaos and Random Matrix Theory? Experimental, computational, and conceptual challenges are prevalent in the field of quantum chaos. The mathematical questions that have a direct ...

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, ...

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 ...