Paper detail

Conservative DG Method for the Micro-Macro Decomposition of the Vlasov-Poisson-Lenard-Bernstein Model

The micro-macro (mM) decomposition approach is considered for the numerical solution of the Vlasov--Poisson--Lenard--Bernstein (VPLB) system, which is relevant for plasma physics applications. In the mM approach, the kinetic distribution function is decomposed as $f=\mathcal{E}[\boldsymbolρ_{f}]+g$, where $\mathcal{E}$ is a local equilibrium distribution, depending on the macroscopic moments $\boldsymbolρ_{f}=\int_{\mathbb{R}}\boldsymbol{e} fdv=\langle\boldsymbol{e} f\rangle_{\mathbb{R}}$, where $\boldsymbol{e}=(1,v,\frac{1}{2}v^{2})^{\rm{T}}$, and $g$, the microscopic distribution, is defined such that $\langle\boldsymbol{e} g\rangle_{\mathbb{R}}=0$. We aim to design numerical methods for the mM decomposition of the VPLB system, which consists of coupled equations for $\boldsymbolρ_{f}$ and $g$. To this end, we use the discontinuous Galerkin (DG) method for phase-space discretization, and implicit-explicit (IMEX) time integration, where the phase-space advection terms are integrated explicitly and the collision operator is integrated implicitly. We give special consideration to ensure that the resulting mM method maintains the $\langle\boldsymbol{e} g\rangle_{\mathbb{R}}=0$ constraint, which may be necessary for obtaining (i) satisfactory results in the collision dominated regime with coarse velocity resolution, and (ii) unambiguous conservation properties. The constraint-preserving property is achieved through a consistent discretization of the equations governing the micro and macro components. We present numerical results that demonstrate the performance of the mM method. The mM method is also compared against a corresponding DG-IMEX method solving directly for $f$.

preprint2021arXivOpen access

Signal facts

What is known right now

Open access2 authors3 topics

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.