Guidelines for non-LTE modelling of cyanopolyynes

Cyanopolyynes are abundant and widespread in cold molecular clouds. Their abundances are typically determined under the assumption of local thermodynamic equilibrium (LTE) or through non-LTE analysis based on approximate collisional rate coefficients. Here, we present the first quantum mechanical scattering data for HC 5 N and HC 7 N in collisions with helium. We used both close-coupling (CC) and coupled-states (CS) methods to compute excitation cross-sections. We then derived rate coefficients for the first energy levels of HC 5 N and HC 7 N. A comparative analysis between the CC and CS results reveals an agreement better than a factor of two for high-magnitude rate coefficients. However, we found that the derivation of approximate HC5N and HC7N rate coefficients from those of HCN and HC 3 N using a size proportionality relationship, as has been previously done in the literature, leads to an overestimation of the collisional data by up to two orders of magnitude. To assess the sensitivity of cyanopolyyne line intensities to collisional rate coefficients, we compared LTE predictions with various non-LTE models using different rate coefficients. Under the typical physical conditions of cold molecular clouds, the LTE assumption and radiative transfer calculations based on approximate collisional rate coefficients strongly overestimate high-frequency line intensities, while the non-LTE models based on the HC 3 N collisional rate coefficients as a proxy for HC 5 N and HC7N remain accurate within 10%. We therefore recommend revisiting the abundance estimates for HC 5 N and HC 7 N using the new rate coefficients. For HC 9 N and HC 11 N, adopting HC 7 N collisional data in line modelling is expected to be highly accurate.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-02-21
DOI
https://doi.org/10.1051/0004-6361/202553698
Citations
4
Primary Topic
Fiber-reinforced polymer composites
Type
article
Field-Weighted Citation Impact
2.85

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article

Guidelines for non-LTE modelling of cyanopolyynes

François Lique, Cheikh T Bop
4 citations
Astronomy and Astrophysics
Fiber-reinforced polymer composites
2.85
article

Guidelines for non-LTE modelling of cyanopolyynes

François Lique, Cheikh T Bop
article en
4 citations

Abstract

Cyanopolyynes are abundant and widespread in cold molecular clouds. Their abundances are typically determined under the assumption of local thermodynamic equilibrium (LTE) or through non-LTE analysis based on approximate collisional rate coefficients. Here, we present the first quantum mechanical scattering data for HC 5 N and HC 7 N in collisions with helium. We used both close-coupling (CC) and coupled-states (CS) methods to compute excitation cross-sections. We then derived rate coefficients for the first energy levels of HC 5 N and HC 7 N. A comparative analysis between the CC and CS results reveals an agreement better than a factor of two for high-magnitude rate coefficients. However, we found that the derivation of approximate HC5N and HC7N rate coefficients from those of HCN and HC 3 N using a size proportionality relationship, as has been previously done in the literature, leads to an overestimation of the collisional data by up to two orders of magnitude. To assess the sensitivity of cyanopolyyne line intensities to collisional rate coefficients, we compared LTE predictions with various non-LTE models using different rate coefficients. Under the typical physical conditions of cold molecular clouds, the LTE assumption and radiative transfer calculations based on approximate collisional rate coefficients strongly overestimate high-frequency line intensities, while the non-LTE models based on the HC 3 N collisional rate coefficients as a proxy for HC 5 N and HC7N remain accurate within 10%. We therefore recommend revisiting the abundance estimates for HC 5 N and HC 7 N using the new rate coefficients. For HC 9 N and HC 11 N, adopting HC 7 N collisional data in line modelling is expected to be highly accurate.

Astronomy and AstrophysicsVol. 695
Centre National de la Recherche Scientifique (FR), Institut de Physique de Rennes (FR), Chimie et Interdisciplinarité, Synthèse, Analyse, Modélisation (FR), Université de Rennes (FR), Nantes Université (FR)
Centre National d’Etudes Spatiales, Centre National de la Recherche Scientifique, Institut Universitaire de France, Grand Équipement National De Calcul Intensif, Institut national des sciences de l'Univers
Openalex Percentile: Top 11%
Fiber-reinforced polymer composites
2.85
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