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A data- and model-driven strategy for the evaluation of the experimental transition lines: Theoretical prediction for the ground state of 12C16O.
Fan, Zhixiang; He, JieJie; Ni, Zhizhang; Fan, Qunchao; Fu, Jia; Xu, Yonggen; Li, Huidong; Ma, Jie; Xie, Feng.
Afiliação
  • Fan Z; School of Science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China.
  • He J; School of Science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China.
  • Ni Z; School of Science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China.
  • Fan Q; School of Science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China. Electronic address: fanqunchao@mail.xhu.edu.cn.
  • Fu J; School of Science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China. Electronic address: fujiayouxiang@126.com.
  • Xu Y; School of Science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China.
  • Li H; School of Science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China.
  • Ma J; State Key Laboratory of Quantum Optics and Quantum Optics Devices, Laser Spectroscopy Laboratory, College of Physics and Electronics Engineering, Shanxi University, Taiyuan 030006, China.
  • Xie F; Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China.
Spectrochim Acta A Mol Biomol Spectrosc ; 264: 120278, 2022 Jan 05.
Article em En | MEDLINE | ID: mdl-34438116
ABSTRACT
An analytical formula that relates the molecular constants of the Herzberg expression and experimental transition lines is developed herein with a difference algebraic approach (DAA) model. Based on the data-driven strategy, the DAA model is able to deal with the tiny uncertainties that exhibit behind the experimental transition lines, which is applied to the P branch emission spectra of some first overtone bands of the ground electronic state of 12C16O. The relationship can be used to generate transition lines with sufficient accuracy, as evident from the high J of agreement with the HITRAN database, Velichko data, Goorvitch data and quantum-mechanical data. In addition, line intensities, absorption oscillator strengths and Einstein A coefficients of these lines, which are introduced to enhance the dataset and are in good agreement with those of other authors, are also reported to validate our results. These various comparative results show that the proposed data-driven strategy based on the DAA model is expecting to be a good algorithm that relies on relatively limited data for training.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article