ArXiv TLDR

Quantum and Structural Effects Captured via a Statistical Method: the SACM Applied to HCN and HNC Colliding with CO

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2605.10389

F. Tonolo, E. Quintas-Sánchez, A. Batista-Planas, R. Dawes, François Lique

astro-ph.GAastro-ph.SR

TLDR

The Statistical Adiabatic Channel Model efficiently calculates low-temperature molecular collision rates, overcoming limitations of quantum and quasi-classical methods.

Key contributions

  • Introduces SACM for efficient and accurate low-temperature (de)-excitation rate coefficients.
  • Overcomes intractability of quantum treatments and failures of quasi-classical methods for heavy projectiles.
  • Applied to HCN/HNC + CO collisions, showing quantitative agreement with full quantum results.
  • Captures essential quantum effects like near-resonant energy transfer and isomeric differences statistically.

Why it matters

This paper introduces a robust statistical method for calculating crucial molecular collision data. This data is vital for accurately modeling astrophysical environments like cometary comae, where current information is scarce.

Original Abstract

This work spotlights the Statistical Adiabatic Channel Model as an efficient and accurate method for deriving low temperature (de)-excitation rate coefficients for collisions induced by heavy projectiles. For such systems, fully quantum treatments become intractable, while quasi-classical methods fail at low temperature. Here, we demonstrate that the Statistical Adiabatic Channel Model overcomes these limitations by combining statistical sampling with an adiabatic channel representation. Its application to the HCN and HNC isomers colliding with CO yields rate coefficients in quantitative agreement with full quantum results benchmarked for the lowest total angular momentum. These systems are relevant for modeling cometary comae, where reliable molecular data remain scarce. Remarkably, this approach also reproduces near-resonant energy transfer and isomeric effects, demonstrating that essential quantum and structural features can be captured within a statistical framework.

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