A comparison of source term estimators in coupled finite-volume/Monte-Carlo methods with applications to plasma edge simulations in nuclear fusion

12/16/2020
by   Bert Mortier, et al.
0

In many applications, such as plasma edge simulation of a nuclear fusion reactor, a coupled PDE/kinetic description is required, which is usually solved with a coupled finite-volume/Monte-Carlo method. Different procedures have been proposed to estimate the source terms in the finite volume part that appear from the Monte Carlo part of the simulation. In this paper, we present a systematic comparison of the variance and computational cost of a coherent set of such estimation procedures. We compare the different estimation procedures for mass in a simplified forward-backward scattering model problem, where an analytical comparison is possible, and for mass and momentum in a model problem with realistic scattering. Our results reveal a non-trivial dependence of the optimal choice of estimator on the model parameters and show that different estimation procedures prevail for different quantities of interest.

READ FULL TEXT

page 18

page 20

page 22

page 23

page 24

page 25

page 26

research
06/15/2022

A Multifidelity Monte Carlo Method for Realistic Computational Budgets

A method for the multifidelity Monte Carlo (MFMC) estimation of statisti...
research
02/03/2018

Isotropic Scattering in a Flatland Half-Space

We solve the Milne, constant-source and albedo problems for isotropic sc...
research
10/04/2017

Robust Localization of an Arbitrary Distribution of Radioactive Sources for Aerial Inspection

Radiation source detection has seen various applications in the past dec...
research
01/10/2023

Optimal randomized multilevel Monte Carlo for repeatedly nested expectations

The estimation of repeatedly nested expectations is a challenging task t...
research
09/09/2022

How many inner simulations to compute conditional expectations with least-square Monte Carlo?

The problem of computing the conditional expectation E[f (Y)|X] with lea...
research
06/09/2022

Consistent Estimation of Multiple Breakpoints in Dependence Measures

This paper proposes different methods to consistently detect multiple br...
research
06/17/2021

Optimising simulations for diphoton production at hadron colliders using amplitude neural networks

Machine learning technology has the potential to dramatically optimise e...

Please sign up or login with your details

Forgot password? Click here to reset