高精度吸収分光観測では、連続光の不確定性が微細構造定数の変動測定に重要な影響を及ぼすことが示された。
Proposing the Sim2Real framework for spectral signal reconstruction in reconstructive spectroscopy, focusing on efficient data sampling and fast inference time.
Autoencoders are developed for hyperspectral unmixing in Raman spectroscopy, providing improved accuracy, robustness, and efficiency compared to conventional methods.
The author showcases a novel photon-counting approach in near-ultraviolet dual-comb spectroscopy, enabling high-resolution frequency calibration and signal-to-noise ratio at the quantum limit.
The author showcases a photon-counting approach in dual-comb spectroscopy to extend its advantages into the ultraviolet regions efficiently.