%0 Generic
%A Wang, Shih-Chi
%A van der Horst, Ruud
%A van Kampen, Maarten
%A Morgan, Thomas
%D 2022
%T Data underlying the publication Application of a dual-thermopile radical probe to expanding hydrogen plasmas
%U https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Application_of_a_dual-thermopile_radical_probe_to_high-flux_expanding_hydrogen_plasmas/16566141/2
%R 10.4121/16566141.v2
%K Plasma Source
%K heat flux sensors
%K hydrogen plasma reaction
%K Plasma materials processing
%K Radical probe experiments
%X <p>Publication information:<br>
Title: Data underlying the publication Application of a dual-thermopile radical probe to expanding hydrogen plasmas<br>
Authors: Shih-Chi Wang, Ruud van der Horst, Maarten van Kampen, and Thomas W. Morgan<br>
Corresponding author: Shih-Chi Wang<br>
Corresponding ORCID: 0000-0002-1892-5285<br>
Corresponding email address: s.c.wang@differ.nl<br>
Organizations: DIFFER - Dutch Institute for Fundamental Energy Research and ASML<br>
Journal: Plasma Sources Science and Technology<br>
Keywords: cascaded arc source, heat flux sensor, hydrogen plasma, plasma-material processing, radical probe<br>
Resource title: Application of a dual-thermopile radical probe to expanding hydrogen plasmas<br>
Resource DOI: <a href="https://doi.org/10.1088/1361-6595/ac71c3" target="_blank">https://doi.org/10.1088/1361-6595/ac71c3</a><br>
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Description: This publication concerns experimental work on plasma diagnostics, and the research objective is to measure hydrogen radical flux using a dual-thermopile radical probe. The data collection was carried out by a Keithley 2410 SourceMeter and a GraphTec midi logger GL200A connected to a PC. The collected data is series of numbers and is plotted in the multiple figures of the publication. This replication package contains multiple folders, each of which corresponds to a figure in the publication.<br>
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Creation date: 07-Sep-2021<br>
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Access right: open access<br>
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File formats: text file (.txt), common separated data file (.csv), excel sheet (.xlsx), portable network graphics (.png), and python script (.py).<br>
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Software version: Anaconda3-2019.10<br>
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Hardware version: Intel(R) Core(TM) i7-8650U CPU, RAM 8.0 GB<br>
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</p>
%I 4TU.ResearchData