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Data from: Fluid-kinetic model of a propulsive magnetic nozzle

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Description

# Data from: Fluid-kinetic model of a propulsive magnetic nozzle - Authors: Mario Merino, Judit Nuez, Eduardo Ahedo - Contact email: mario.merino@uc3m.es - Date: 2021-10-08 - Keywords: magnetic nozzle, plasma propulsion, electrodeless plasma thrusters, kinetic model, collisionless electron cooling, magnetic thrust - Version: 1.0.0 - Digital Object Identifier (DOI): 10.5281/zenodo.5557592 - License: This dataset is made available under the Open Data Commons Attribution License ##

Abstract

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This dataset contains the magnetic nozzle fluid-kinetic simulation results used to prepare: _Mario Merino, Judit Nuez, Eduardo Ahedo, "Fluid-kinetic model of a propulsive magnetic nozzle", Plasma Sources Science and Technology._ ## Dataset description The simulations have been prepared combining two open source codes: [Akiles](10.5281/zenodo.1098432) and [Fumagno](10.5281/zenodo.593787).

The model and the simulation cases are explained in the accompanying paper (doi.org/10.1088/1361-6595/ac2a0b). ## Data files The datafiles are in standard Matlab .mat format. A recent version of Matlab (2018a or newer) is needed to read these files . Datafiles are subdivided into two groups (1D and 2D).

In the 1D group, simulations for the first part of the paper are contained. These are simulations along a single (1D) magnetic line. There are 7 files: 1. line_J0.mat 2. line_phiinfty5.mat 3. line_phiinfty6.mat 4. line_phiinfty7.mat 5. line_phiinfty8.mat 6. line_phiinfty9.mat 7. line_phiinfty10.mat Each of these files has an identical structure, with the following Matlab variables in them.

All variables are normalized as explained in the paper:

  • h: a vector containing the value of B (magnetic field strength) at each point in the magnetic line
  • phi: a vector containing the value of phi (electric potential) at each point in the magnetic line
  • electrons: a structure with all the moments and all the properties of the electrons
  • ions: a structure with all the moments and all the properties of the ions In the 2D group, simulations for the second part of the paper are contained. These are 2D simulations. A total of 5 files exist, corresponding to each simulation case in the paper: 1. F.mat 2. PHID.mat 3. PHII.mat 4. TD.mat 5. TI.mat Each of these files has an identical structure, with the following Matlab variables in them. All variables are normalized as explained in the paper:
  • Z,R: position of points
  • B,ALPHA,KAPPA: magnetic field strength, angle, and curvature. B_B0 is B normalized with the upstream value on each line.
  • PHI, EZ, ER: electric potential and field components
  • J, J0: current density, and the integral current in the magnetic nozzle
  • N, N1, N2, N4: density of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)
  • TE, TE1, TE2, TE4: average temperature of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)
  • TPARE, TPARE1, TPARE2, TPARE4: parallel temperature of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)
  • TPERE, TPERE1, TPERE2, TPERE4: perpendicular temperature of the full electron population and subpopulations 1 (free), 2 (reflected), 4 (doubly-trapped)
  • UE, UE1, UI: velocity of electrons, free electrons, ions ##

Citation

Works using this dataset or any part of it in any form shall cite it as follows. The preferred means of citation is to reference the publication associated to this dataset, of DOI 10.1088/1361-6595/ac2a0b. Optionally, the dataset may be cited directly by referencing the DOI: 10.5281/zenodo.5557592. ## Acknowledgments This dataset was created by the ERC-ZARATHUSTRA project.

The ERC-ZARATHUSTRA project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 950466). | {"references": ["Mario Merino, Judit Nuez, Eduardo Ahedo, \"Fluid-kinetic model of a propulsive magnetic nozzle\", Plasma Sources Science and Technology (doi.org/10.1088/1361-6595/ac2a0b)."]}

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Physics
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Nuclear and plasma physics 70% · Simulation 75%
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