J. Genest
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Articles (17)
Year:
2025
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2025
Year:
2024
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2024
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2024
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2024
Year:
2023
Optimizing the signal-to-noise ratio (SNR) is critical to achieve high sensitivities across broad spectral ranges in dual-comb interferometry. Sensitivity can be improved through time-averaging, but only at the cost of reduced temporal resolution. We show that it is instead possible to use high-bandwidth detection combined with frequency-domain averaging of multiple copies of the dual-comb beat note. By controlling the signal and noise stationarity properties, one can even reduce the fundamental shot noise contribution compared to the normal, single copy, dual-comb operation where integration time is matched to, or larger than the repetition period. In principle, the use of Na aliased frequency-domain copies will improve SNR by up to Na, or equivalently, reduce acquisition time by a factor of Na. We demonstrate dual-comb interferometry using Na = 5 aliases, achieving the predicted fivefold reduction in shot noise power density at low frequencies. Over the full spectrum, unaveraged relative intensity noise limits the SNR, but we measure a 1.65× fold improvement in detection of CO2, corresponding to a 2.7× reduction in acquisition time for a given precision.
Year:
2023
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2023
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2023
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2022
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2022
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2022
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2021
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2021
Year:
2021
Year:
2021
Collaborators (6)
Scott Diddams
Professor & Robert H. Davis Chair in Discovery Learning
University of Colorado Boulder
Luca Moretti
Junior Assistant Professor
Politecnico di Milano
Francesco Poletti
Prof. at Faculty of Engineering and Physical Sciences
University of Southampton
Sonia Martin-Lopez
Profesora Titular de Universidad
Universidad de Alcalá
FABRIZIO GIORGETTA
University of Colorado Boulder
Peter Horak
Dr at Faculty of Engineering and Physical Sciences
University of Southampton
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