In this paper we describe a hybrid deterministic/Monte Carlo algorithm for neutron transport simulation. The algorithm is based on nonlinear accelerators for source iteration, using Monte Carlo methods for the purely absorbing high-order problem and a Jacobian-free Newton– Krylov iteration for the low-order problem. We couple the Monte Carlo solution with the low-order problem using filtering t...

Abstract Generative adversarial networks (GANs) have shown promising results when applied on partial differential equations and financial time series generation. We investigate if GANs can also be used to approximate one-dimensional It $$\hat{\text {o}}$$ o ^ st...

Abstract Silicon photomultipliers (SiPMs) replace photomultiplier tubes (PMTs) for the detection of light in many applications, particularly high energy physics and medical imaging. We describe a flexible implementation SiPM model GATE Monte Carlo simulation platform, which is based on noise description proposed by Rosado Hidalgo, an easy effective method to determine instantiate with simple me...