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Software . 2020
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VlaPy: A Python Package for 1D-1V Vlasov-Fokker-Planck Simulations

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Sep 2020Publisher:Zenodo
Authors: Joglekar, A. S; Levy, M. C;
Code repository: https://github.com/joglekara/VlaPy/tree/v0.1.0

doi: 10.5281/zenodo.4026769 , 10.5281/zenodo.4026770

VlaPy: A Python Package for 1D-1V Vlasov-Fokker-Planck Simulations

Abstract

VlaPy v0.1 VlaPy is a pseudo-spectral 1D-1V Vlasov-Fokker-Planck code for modeling plasma physics. In addition to other schemes that have been implemented, VlaPy uses a sixth-order time-stepper and exponential integrators in Fourier space for the Vlasov equation, and a fast tridiagonal matrix solver to solve approximations of the Fokker-Planck equation. There are unit tests for the collision operators as well as integrated tests that verify VlaPy's calculations against kinetic plasma physics phenomenon. It leverages xarray for data storage and MLFlow for experimental management. The framework is constructed in such a way that solvers can be swapped in and out readily. More details can be found in the README.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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