Contactless temperature measurement of an in-process silicon wafer using a spectrally shaped supercontinuum source

Non-contact temperature measurements, with high accuracy and fast acquisition speed, are necessary for advanced silicon microfabrication. Utilizing the temperature dependence of silicon's absorption in the near-infrared (NIR) region, wafer temperature can be obtained from the measured transmitted power. Accurate temperature measurements over a wide range require multiple laser sources with different wavelengths, increasing the system's complexity and reducing acquisition speed, due to the requirement of switching between multiple lasers. The system can be simplified by replacing multiple lasers with a single supercontinuum source. The measurement accuracy in the lower temperature range is poor, using a spectrally flat supercontinuum. We propose the use of a compact, cost-effective telecom fiber-based supercontinuum source whose spectrum can be tailored. We show that spectra having exponential roll-off towards longer wavelengths leads to improvement of the temperature measurement accuracy. We optimized the spectral shape to achieve enhanced measurement accuracy, with ∼1 °C accuracy from room temperature to 600 °C an improvement by a factor of > 6x compared to a flat supercontinuum source. Additionally, the elimination of the need for inline optical switches enhances acquisition speed, which is currently limited only by the detector response time of ∼ 66 ms. The proposed method can easily be scaled for simultaneous temperature measurements at multiple spatial locations, enabled by high power availability from the supercontinuum source.

Authors

Publication Details

Journal
Optics Express
Published
2025-04-07
DOI
https://doi.org/10.1364/oe.549560
Citations
1
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contactless temperature measurement of an in-process silicon wafer using a spectrally shaped supercontinuum source

V. R. Supradeepa, Sushobhan Avasthi, Sarthak Dash, Abhigyan Goswami
1 citations
Optics Express
Photonic and Optical Devices
0.73
article

Contactless temperature measurement of an in-process silicon wafer using a spectrally shaped supercontinuum source

V. R. Supradeepa, Sushobhan Avasthi, Sarthak Dash, Abhigyan Goswami
article en
1 citations

Abstract

Non-contact temperature measurements, with high accuracy and fast acquisition speed, are necessary for advanced silicon microfabrication. Utilizing the temperature dependence of silicon's absorption in the near-infrared (NIR) region, wafer temperature can be obtained from the measured transmitted power. Accurate temperature measurements over a wide range require multiple laser sources with different wavelengths, increasing the system's complexity and reducing acquisition speed, due to the requirement of switching between multiple lasers. The system can be simplified by replacing multiple lasers with a single supercontinuum source. The measurement accuracy in the lower temperature range is poor, using a spectrally flat supercontinuum. We propose the use of a compact, cost-effective telecom fiber-based supercontinuum source whose spectrum can be tailored. We show that spectra having exponential roll-off towards longer wavelengths leads to improvement of the temperature measurement accuracy. We optimized the spectral shape to achieve enhanced measurement accuracy, with ∼1 °C accuracy from room temperature to 600 °C an improvement by a factor of > 6x compared to a flat supercontinuum source. Additionally, the elimination of the need for inline optical switches enhances acquisition speed, which is currently limited only by the detector response time of ∼ 66 ms. The proposed method can easily be scaled for simultaneous temperature measurements at multiple spatial locations, enabled by high power availability from the supercontinuum source.

Optics ExpressVol. 33(9)
Affordable and clean energy
Openalex Percentile: Top 30%
Photonic and Optical Devices
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.