Non-invasive monitoring of process-relevant plasma parameters by Fiber PROES in capacitively coupled Ar/CF 4 plasmas

Abstract Monitoring changes of process-relevant plasma parameters, such as the electron density and ion flux to the wafer, is essential for the development and control of plasma processes. However, invasive plasma diagnostics, such as probe measurements, typically cannot be applied to commercial reactors. At the example of a low pressure capacitive radio frequency discharge operated in different mixtures of CF 4 and Ar, we demonstrate that changes of such plasma parameters can be monitored non-invasively by phase-resolved optical emission spectroscopy via optical fibers (Fiber PROES), for which the ports are usually available at industrial plasma sources. In this way, the spatio-temporally resolved dynamics of energetic electrons are tracked by observing a selected emission line. By measuring the electron density and ion flux directly via probe and retarding field energy analyzer diagnostics as a function of driving voltage and pressure, changes of these plasma parameters, including hysteresis effects, are found to be correlated with transitions of the electron power absorption mode revealed by Fiber PROES. Such mode transitions cause the electron energy distribution function (EEDF) to change and, thus, affect such plasma parameters. Based on these findings, Fiber PROES can be used as a non-invasive diagnostic for the monitoring and knowledge-based development of plasma processes.

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Publication Details

Journal
Measurement Science and Technology
Published
2026-11-06
DOI
https://doi.org/10.1088/1361-6501/aebeed
Primary Topic
Low-Pressure Plasma Processing and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

Non-invasive monitoring of process-relevant plasma parameters by Fiber PROES in capacitively coupled Ar/CF 4 plasmas

Julian Schulze, Florian Beckfeld, Ihor Korolov, Constantin Neuroth et al.
1 links
Measurement Science and Technology
Low-Pressure Plasma Processing and Diagnostics
article

Non-invasive monitoring of process-relevant plasma parameters by Fiber PROES in capacitively coupled Ar/CF 4 plasmas

Julian Schulze, Florian Beckfeld, Ihor Korolov, Constantin Neuroth, Maximilian Ryppa, Li Wang
article en

Abstract

Abstract Monitoring changes of process-relevant plasma parameters, such as the electron density and ion flux to the wafer, is essential for the development and control of plasma processes. However, invasive plasma diagnostics, such as probe measurements, typically cannot be applied to commercial reactors. At the example of a low pressure capacitive radio frequency discharge operated in different mixtures of CF 4 and Ar, we demonstrate that changes of such plasma parameters can be monitored non-invasively by phase-resolved optical emission spectroscopy via optical fibers (Fiber PROES), for which the ports are usually available at industrial plasma sources. In this way, the spatio-temporally resolved dynamics of energetic electrons are tracked by observing a selected emission line. By measuring the electron density and ion flux directly via probe and retarding field energy analyzer diagnostics as a function of driving voltage and pressure, changes of these plasma parameters, including hysteresis effects, are found to be correlated with transitions of the electron power absorption mode revealed by Fiber PROES. Such mode transitions cause the electron energy distribution function (EEDF) to change and, thus, affect such plasma parameters. Based on these findings, Fiber PROES can be used as a non-invasive diagnostic for the monitoring and knowledge-based development of plasma processes.

Measurement Science and Technology
Ruhr University Bochum (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 61%
Low-Pressure Plasma Processing and Diagnostics
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Non-invasive monitoring of process-relevant plasma parameters by Fiber PROES in capacitively coupled Ar/CF 4 plasmas — Julian Schulze, Florian Beckfeld, et al. · Measurement Science and Technology (2026) | TGRS Research Map | TGRS