JOURNAL ARTICLE

Simulation of the Stark/Zeeman-hyperfine-rotational spectra of 79BrF molecule within its vibronic ground state.

  • Published In: International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2025, v. 39, n. 8. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ouyang, Qi; Chen, Run; Shao, Xu-Ping; Huang, Yun-Xia; Yang, Xiao-Hua 3 of 3

Abstract

Transition dipole moments of Stark/Zeeman-hyperfine-rotational spectra of J = 1 ← 0 within the vibronic ground state of BrF molecule are deduced, and thus, the transition selection rules are summarized. Unlike the nearly equal linewidth in the other spectral region, the hyperfine-rotational spectral linewidth strongly depends on its transition probability due to the only natural broadening acts. Thereafter, the Stark/Zeeman-hyperfine-rotational spectra are simulated, which could help to assign the experimental spectra. In addition, the quadratic dependence of the Stark spectral shift on the applied electric field is fitted with the fitting correlation of 0.9999, which may be applied in the mapping of a complex electrostatic field. Our results are helpful for the investigations of the field-controlled cold molecular collision, the cold molecular manipulation, the cold molecular further cooling, and other related aspects as well. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 2025/03, Vol. 39, Issue 8, p1
  • Document Type:Article
  • Subject Area:Physics
  • Publication Date:2025
  • ISSN:0217-9792
  • DOI:10.1142/S0217979225500614
  • Accession Number:183486021
  • Copyright Statement:Copyright of International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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