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Countering nonlinearity in digitization for precise dual-frequency comb spectroscopy

Published

Author(s)

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

Abstract

We measure, simulate and propose solutions for removing analog to digital converter (ADC) imposed bias in dual comb spectroscopy.
Proceedings Title
Optics and Photonics for Sensing the Environment
Conference Dates
July 11-15, 2022
Conference Location
Vancouver, CA

Citation

Malarich, N. , Cossel, K. , Giorgetta, F. , Baumann, E. , Mead, G. , Herman, D. , Washburn, B. , Newbury, N. and Coddington, I. (2022), Countering nonlinearity in digitization for precise dual-frequency comb spectroscopy, Optics and Photonics for Sensing the Environment, Vancouver, CA, [online], https://doi.org/10.1364/ES.2022.EM3D.2, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934516 (Accessed June 13, 2024)

Issues

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Created July 18, 2022, Updated March 14, 2023