30 citations · 73 across the 4 of their papers we have counts for
5 papers
A Variance-Decomposition Formula for Direct and Adjoint Monte Carlo Particle Transport Problems
Paul Rovel, Coline Larmier, Davide Mancusi +1
In fixed-source Monte Carlo particle-transport problems, obtaining an acceptable variance on the sought response is of paramount importance. Currently, the only rigorous tool to an…
Producing a complete nuclear data library for adjoint Monte Carlo simulations
Paul Rovel, Coline Larmier, Davide Mancusi +1
Radiation shielding applications related to reactor design typically involve situations where the source region (the core) is much larger than the detector region (a dosimeter). In…
Strongly constrained stochastic processes: the multi-ends Brownian bridge
Coline Larmier, Alain Mazzolo, Andrea Zoia
In a recent article, Krapivsky and Redner (J. Stat. Mech. 093208 (2018)) established that the distribution of the first hitting times for a diffusing particle subject to hitting an…
Benchmark solutions for transport in -dimensional Markov binary mixtures
Coline Larmier, F-X Hugot, Fausto Malvagi +2
Linear particle transport in stochastic media is key to such relevant applications as neutron diffusion in randomly mixed immiscible materials, light propagation through engineered…
Finite-size effects and percolation properties of Poisson geometries
Coline Larmier, Eric Dumonteil, Fausto Malvagi +2
Random tessellations of the space represent a class of prototype models of heterogeneous media, which are central in several applications in physics, engineering and life sciences.…