DOI: 10.5281/zenodo.13758358
title: Data from: Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster

description: - Data from: Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster

- Authors: Davide Maddaloni, Borja Bayón-Buján, Jaume Navarro-Cavallé, Mario Merino, Filippo Terragni

- Contact email: dmaddalo@ing.uc3m.es

- Date: 2024-09-13

- Version: 1.0.0

- License: This dataset is made available under the Creative Commons Attribution 4.0 International

Abstract

This dataset contains the postprocessed experimental data used in:

Davide Maddaloni, Borja Bayón-Buján, Jaume Navarro-Cavallé, Mario Merino, Filippo Terragni, "Low-frequency oscillations in the magnetic nozzle of a Helicon Plasma Thruster", Plasma Sources Science and Technology

Which is currently submitted.

Dataset description

The experimental data is gathered by means of three distinct floating Langmuir Probes (LPs).

For the time-resolved analysis, the original floating potential data is postprocessed according to the description provided in the corresponding journal article (Section 3). For the time-averaged analysis, sweeping of the LPs is performed and the I-V curves are postprocessed according to the routine illustrated in Lobbia et al.

Please refer to the relative article for further details regarding any of the parameters and/or configurations.

Data files

The data files are in standard Matlab .mat format. A recent version of Matlab is recommended.

For the time-resolved results, data is subdivided according to the spatial position inspected and the xenon injected mass flow rate. The nomenclature of the files is the tfollowing: "Output_[injected mass flow rate]_[axial position]_[angular position]". Currently, all the arrays collect frequencies until 200 kHz. In a future update, frequencies until 1 MHz will be included.

 Each file consists of several subfields, as follows:



Fmsc: gridmat containing the frequencies (in Hz)



az: for the azimuthal direction

ax: for the parallel direction



Kmsc: gridmat containing the wavenumbers (in rad)



az: for the azimuthal direction

ax: for the parallel direction



SSmsc: matrix containing the results of the Two-Power Spectral Density (PSD2P) technique. Each element collects the value of the real-valued mean squared coherence for each corresponding frequency and wavenumber



az: for the azimuthal direction

ax: for the parallel direction



stats: general statistics



az: for the azimuthal direction



meanphase: mean of the phase difference between the two probe signals (in rad)

stdphase: standard deviation of the phase difference between the two probe signals (in rad)

fRFTbin: frequency array (in Hz)

coherence: real-valued mean squared coherence for the two signals



ax: for the axial direction



meanphase: mean of the phase difference between the two probe signals (in rad)

stdphase: standard deviation of the phase difference between the two probe signals (in rad)

fRFTbin: frequency array (in Hz)

coherence: real-valued mean squared coherence for the two signals



psd: averaged out Power Spectral Densities (PSDs) for each LP (refer to the journal article for the corresponding nomenclatures of the probes)



for probe 1 (in V^2/HZ)

for probe 2 (in V^2/HZ)

for probe 3 (in V^2/HZ)






The results of the time-resolved analysis, including plasma potential and plasma density for the two mass flow rates inspected, will be added in a future update. 

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, as soon as it is available.

Optionally, the dataset may be cited directly by referencing the corresponding DOI: 10.5281/zenodo.13758358.

Acknowledgments

This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (project ERC-STG ZARATHUSTRA, grant agreement No 950466). Additionally, F. Terragni was also supported by the FEDER / Ministerio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación (grant agreement No PID2020-112796RB-C22), while B. Bayón-Buján enjoyed a grant from the Consejería de Educación, Universidades, Ciencia y Portavocía of the Community of Madrid (grant PEJ-2021-AI/TIC-23158).