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Michael J. Thorpe

Researcher at National Institute of Standards and Technology

Publications -  43
Citations -  3270

Michael J. Thorpe is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Frequency comb & Spectroscopy. The author has an hindex of 22, co-authored 43 publications receiving 3114 citations. Previous affiliations of Michael J. Thorpe include University of Colorado Boulder.

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Broadband Cavity Ringdown Spectroscopy for Sensitive and Rapid Molecular Detection

TL;DR: A broad-bandwidth optical frequency comb is coherently coupled to a high-finesse optical cavity that acts as the sample chamber and sensitive intracavity absorption information is simultaneously available across 100 nanometers in the visible and near-infrared spectral regions.
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Phase-Coherent Frequency Combs in the Vacuum Ultraviolet via High-Harmonic Generation inside a Femtosecond Enhancement Cavity

TL;DR: Optical-heterodyne-based measurements reveal that the coherent frequency comb structure of the original laser is fully preserved in the high-harmonic generation process and permits the efficient generation of phase-coherent high-order harmonics using only a standard laser oscillator without active amplification of single pulses.
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Cavity-enhanced optical frequency comb spectroscopy: application to human breath analysis

TL;DR: This optical-frequency-comb-based breath analysis system comes with excellent performance in all criteria: high detection sensitivity, ability to identify and distinguish a large number of analytes, and simultaneous, real-time information processing.
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Phase-stabilized, 1.5-W frequency comb at 2.8 to 4.8 micron

TL;DR: In this article, a high-power optical parametric oscillator-based frequency comb was proposed for the mid-infrared wavelength region using periodically poled lithium niobate.
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Human breath analysis via cavity-enhanced optical frequency comb spectroscopy

TL;DR: This article presents human breath analysis using an optical-frequency-comb-based trace detection system with excellent performance in all criteria: detection sensitivity, ability to identify and distinguish a large number of biomarkers, and measurement time.