Issue |
A&A
Volume 687, July 2024
|
|
---|---|---|
Article Number | A3 | |
Number of page(s) | 9 | |
Section | Atomic, molecular, and nuclear data | |
DOI | https://doi.org/10.1051/0004-6361/202449361 | |
Published online | 24 June 2024 |
Theoretical study of the electron-induced vibrational excitation of H2O
1
Université Paris-Saclay, CentraleSupélec, Laboratoire de Génie des Procédés et Matériaux,
91190
Gif-sur-Yvette, France
e-mail: mehdi.ayouz@centralesupelec.fr
2
Université Grenoble Alpes, CNRS, IPAG,
38000
Grenoble, France
3
Department of Physics, University of Central Florida,
Florida
32816, USA
Received:
26
January
2024
Accepted:
12
April
2024
This study presents calculations for cross sections of the vibrational excitation of H2O(X1A1) via electron impact. The theoretical approach employed here is based on first principles only, combining electron-scattering calculations performed using the UK R-matrix codes for several geometries of the target molecule, three-dimensional (3D) vibrational states of H2O, and 3D vibrational frame transformation. The aim is to represent the scattering matrix for the electron incident of the molecule. The vibrational wave functions were obtained numerically, without the normal-mode approximation, so that the interactions and transitions between vibrational states assigned to different normal modes could be accounted for. The thermally averaged rate coefficients were derived from the calculated cross sections for temperatures in the 10–10 000 K interval and analytical fits for rate coefficients were also provided. We assessed the uncertainty estimations of the obtained data for subsequent applications of the rate coefficients in modelling the non-local thermal equilibrium (non-LTE) spectra of water in various astrophysical environments.
Key words: molecular data / molecular processes / methods: numerical / astronomical databases: miscellaneous
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.