PreprintarXiv licencearXiv
Modeling of jitter correction methods for asynchronous optical sampling
Abstract
Timing jitter management is crucial in asynchronous optical sampling (ASOPS) and dual-comb spectroscopy to maintain spectral bandwidth and fidelity. However, a quantitative framework predicting jitter correction efficiency from laser phase noise has been lacking. Here, we present formulation and simulation models that evaluate jitter-suppression dynamics based on phase noise spectra. Our model quantifies the contrast between conventional triggering and software-based jitter correction. It also enables retrieval of a jitter-free spectrum by compensating for jitter-induced power degradation. This work provides a universal design framework for optimizing diverse ASOPS systems by predicting residual jitter prior to system construction.
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BibTeX
@misc{nakagawa2026modeling,
title = {{Modeling of jitter correction methods for asynchronous optical sampling}},
author = {Mayuri Nakagawa and Natsuki Kanda and Ryusuke Matsunaga},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.07042},
eprint = {2609.07042},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.07042},
}
RIS
TY - UNPB
TI - Modeling of jitter correction methods for asynchronous optical sampling
AU - Mayuri Nakagawa
AU - Natsuki Kanda
AU - Ryusuke Matsunaga
PY - 2026
DA - 2026/09/07
PB - arXiv
DO - 10.48550/arxiv.2609.07042
UR - https://arxiv.org/abs/2609.07042
AB - Timing jitter management is crucial in asynchronous optical sampling (ASOPS) and dual-comb spectroscopy to maintain spectral bandwidth and fidelity. However, a quantitative framework predicting jitter correction efficiency from laser phase noise has been lacking. Here, we present formulation and simulation models that evaluate jitter-suppression dynamics based on phase noise spectra. Our model quantifies the contrast between conventional triggering and software-based jitter correction. It also enables retrieval of a jitter-free spectrum by compensating for jitter-induced power degradation. This work provides a universal design framework for optimizing diverse ASOPS systems by predicting residual jitter prior to system construction.
ER -