Line positions, intensities, and Einstein A coefficients for 3–0 band of ¹²C¹⁶O: A spectroscopy learning method

【摘要】 Based on the model-and data-driven strategy, a spectroscopy learning method that can extract the novel and hidden information from the line list databases has been applied to the R branch emission spectra of 3–0 band of the ground electronic state of ¹²C¹⁶O. The labeled line lists such as line intensities and Einstein A coefficients quoted in HITRAN2020 are collected to enhance the dataset. The quantified spectroscopy-learned spectroscopic constants is beneficial for improving the extrapolative accuracy beyond the measurements. Explicit comparisons are made for line positions, line intensities,Einstein A coefficients, which demonstrate that the model-and data-driven spectroscopy learning approach is a promising and an easy-to-implement strategy.更多还原

【Abstract】 Based on the model-and data-driven strategy, a spectroscopy learning method that can extract the novel and hidden information from the line list databases has been applied to the R branch emission spectra of 3–0 band of the ground electronic state of ¹²C¹⁶O. The labeled line lists such as line intensities and Einstein A coefficients quoted in HITRAN2020 are collected to enhance the dataset. The quantified spectroscopy-learned spectroscopic constants is beneficial for improving the extrapolative accuracy beyond the measurements. Explicit comparisons are made for line positions, line intensities,Einstein A coefficients, which demonstrate that the model-and data-driven spectroscopy learning approach is a promising and an easy-to-implement strategy.更多还原