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Removing Bias in Dual-Comb Spectroscopy from Pipeline Analog to Digital Converter Conversion

Published

Author(s)

Nathan Malarich, Fabrizio Giorgetta, Kevin Cossel, Brian Washburn, Jerome Genest, Nathan Newbury, Ian Coddington

Abstract

We quantify the percent-level bias in dual-comb spectroscopy due to nonlinearities from the analog-to-digital conversion and demonstrate a compensation method to enable gas concentration measurements with 0.2% accuracy.
Proceedings Title
Optica Sensing Congress
Conference Dates
July 30-August 3, 2023
Conference Location
Munich, DE

Citation

Malarich, N. , Giorgetta, F. , Cossel, K. , Washburn, B. , Genest, J. , Newbury, N. and Coddington, I. (2023), Removing Bias in Dual-Comb Spectroscopy from Pipeline Analog to Digital Converter Conversion, Optica Sensing Congress, Munich, DE, [online], https://doi.org/10.1364/AIS.2023.JW2A.22, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936643 (Accessed June 19, 2024)

Issues

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Created August 3, 2023, Updated December 2, 2023