Removing biases in dual frequency comb spectroscopy due to digitizer nonlinearity
Abstract
Operation of any dual-comb spectrometer requires digitization of the interference signal before further processing. Nonlinearities in the analog-to-digital conversion can alter the apparent gas concentration by multiple percent, limiting both precision and accuracy of this technique. This work describes both the measurement of digitizer nonlinearity and the development of a model that quantitatively describes observed concentration bias over a range of conditions. We present hardware methods to suppress digitizer-induced bias of concentration retrievals below 0.1%.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 15, 2023
- Source ID
- 10.1364/oe.497497
Entities
People
- Brian R. Washburn
- Fabrizio R Giorgetta
- Ian Coddington
- Jean-daniel Deschenes
- Jérôme Genest
- Kevin C. Cossel
- Nathan A. Malarich
- Nathan R. Newbury
Organizations
- Air Force Office of Scientific Research
- Laval University
- National Aeronautics and Space Administration
- National Institute of Standards and Technology
- University of Colorado Boulder