| Issue |
A&A
Volume 709, May 2026
|
|
|---|---|---|
| Article Number | A190 | |
| Number of page(s) | 8 | |
| Section | Atomic, molecular, and nuclear data | |
| DOI | https://doi.org/10.1051/0004-6361/202658840 | |
| Published online | 19 May 2026 | |
Photoionisation cross-sections of HCN, HNC, and HNO
School of Physics, Henan Normal University,
Xinxiang
453007,
PR China
★ Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
1
January
2026
Accepted:
13
April
2026
Abstract
Aims. The primary aim of this work is to provide accurate photoionisation data for HCN, HNC, and HNO, including absolute total photoionisation cross sections and state-resolved partial cross sections. In addition, near-threshold structures in the photoionisation spectra are resolved with high precision.
Methods. In our calculations we employed a multichannel wavefunction constructed within the R-matrix framework, using configuration interaction to account for electronic correlation. The continuum is represented by a set of B-spline orbitals, enabling a highly accurate description of the scattering electron. This approach yields a more precise treatment of both the bound and continuum states compared with previous studies.
Results. We present total photoionisation cross sections from the ground states of HCN, HNC, and HNO, along with the partial cross sections that lead to various excited states of ions for photon energies from the ionisation thresholds up to 50 eV. A rich set of resonance features - absent in earlier calculations - is revealed near the ionisation thresholds for all three molecules. The resulting cross-section dataset is expected to be sufficiently accurate and comprehensive for most current modelling applications involving photon-molecule scattering for these systems.
Key words: ISM: molecules / photon-dominated region (PDR)
© The Authors 2026
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. This email address is being protected from spambots. You need JavaScript enabled to view it. 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.