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Title: Knowledge-based probabilistic representations of branching ratios in chemical networks: The case of dissociative recombinations

Journal Article · · Journal of Chemical Physics
DOI:https://doi.org/10.1063/1.3479907· OSTI ID:21559922
 [1];  [2];  [1];  [3]
  1. Laboratoire de Chimie Physique, Univ Paris-Sud, UMR 8000, Orsay F-91405 (France)
  2. Laboratoire Atmospheres, Milieux, Observations Spatiales, Universite de Versailles Saint-Quentin, UMR 8190, 78280 Guancourt (France)
  3. France

Experimental data about branching ratios for the products of dissociative recombination of polyatomic ions are presently the unique information source available to modelers of natural or laboratory chemical plasmas. Yet, because of limitations in the measurement techniques, data for many ions are incomplete. In particular, the repartition of hydrogen atoms among the fragments of hydrocarbons ions is often not available. A consequence is that proper implementation of dissociative recombination processes in chemical models is difficult, and many models ignore invaluable data. We propose a novel probabilistic approach based on Dirichlet-type distributions, enabling modelers to fully account for the available information. As an application, we consider the production rate of radicals through dissociative recombination in an ionospheric chemistry model of Titan, the largest moon of Saturn. We show how the complete scheme of dissociative recombination products derived with our method dramatically affects these rates in comparison with the simplistic H-loss mechanism implemented by default in all recent models.

OSTI ID:
21559922
Journal Information:
Journal of Chemical Physics, Vol. 133, Issue 13; Other Information: DOI: 10.1063/1.3479907; (c) 2010 American Institute of Physics; ISSN 0021-9606
Country of Publication:
United States
Language:
English