Countering nonlinearity in digitization for precise dual-frequency comb spectroscopy.

Nathan A. Malarich; Kevin Cossel; Fabrizio Giorgetta; Fabrizio Giorgetta; Esther Baumann; Esther Baumann; Griffin Mead; Daniel I. Herman; Daniel I. Herman; Brian R. Washburn; Brian R. Washburn; Nathan Newbury; Ian Coddington; Ian Coddington

doi:10.1364/ES.2022.EM3D.2

Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)
Technical Digest Series (Optica Publishing Group, 2022),
paper EM3D.2
•https://doi.org/10.1364/ES.2022.EM3D.2

Countering nonlinearity in digitization for precise dual-frequency comb spectroscopy.

Nathan A. Malarich, Kevin Cossel, Fabrizio Giorgetta, Esther Baumann, Griffin Mead, Daniel I. Herman, Brian R. Washburn, Nathan Newbury, and Ian Coddington

Optics and Photonics for Sensing the Environment 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-10-4

From the session
Dual Frequency Comb Spectroscopy (Joint Theme ES and LACSEA on Combs) (EM3D)

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N. A. Malarich, K. Cossel, F. Giorgetta, E. Baumann, G. Mead, D. I. Herman, B. R. Washburn, N. Newbury, and I. Coddington, "Countering nonlinearity in digitization for precise dual-frequency comb spectroscopy.," in Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2022), paper EM3D.2.

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Abstract

In order to measure gas concentrations with sub-percent accuracy, we measure, simulate and propose solutions for removing analog to digital converter (ADC) imposed bias on the recorded interferograms in dual comb spectroscopy.

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