Anomaly detection is a critical task in ensuring the security and safety of infrastructure and
individuals in smart environments. This paper provides a comprehensive analysis of recent …

In this work, a novel deep learning approach to unfold nuclear power reactor signals is
proposed. It includes a combination of convolutional neural networks (CNN), denoising …

Simulations of the neutron flux fluctuations, known as neutron noise, can be performed by
means of the spherical harmonics equations (SP N) approximation with higher accuracy …

The paper presents CORE SIM+, a tool developed for diffusion-based neutron noise
simulations. The simulator is based on the 3-dimensional, two-energy group neutron …

FEMFFUSION is an open source code that solves the multigroup neutron transport equation
using the diffusion and the SP N approximations. This code uses the continuous Galerkin …

Mechanical vibrations of core internals are among the main perturbations that induce
oscillations in the neutron flux field, also known as neutron noise. In this work, different …

Neutron noise equations, which are obtained by assuming small perturbations of
macroscopic cross sections around a steady-state neutron field and by subsequently taking …

Nuclear reactors are stochastic systems, in which several parameters fluctuate even during
steady-state conditions. In addition, structural components like fuel assemblies, vibrate due …

This work is a contribution towards the development of computational methods that allow
investigation and prediction of reactor noise response due to in-core perturbations such as …

The mechanical vibrations of fuel assemblies have been shown to give rise to high levels of
neutron noise, triggering in some circumstances the necessity to operate nuclear reactors at …