The 2014 KIDA network for interstellar chemistry

TL;DR

This paper introduces an updated interstellar chemical network, kida.uva.2014, improving predictions of molecular abundances in cold dense clouds by refining reaction data and rates used in astrochemical models.

Contribution

The paper presents a new version of the KIDA chemical network with extensive updates and demonstrates its impact on molecular abundance predictions in interstellar environments.

Findings

Updated reaction network improves molecular abundance predictions.

Significant changes in predicted chemical compositions for cold dense clouds.

Enhanced data compilation leads to more accurate astrochemical modeling.

Abstract

Chemical models used to study the chemical composition of the gas and the ices in the interstellar medium are based on a network of chemical reactions and associated rate coefficients. These reactions and rate coefficients are partially compiled from data in the literature, when available. We present in this paper kida.uva.2014, a new updated version of the kida.uva public gas-phase network first released in 2012. In addition to a description of the many specific updates, we illustrate changes in the predicted abundances of molecules for cold dense cloud conditions as compared with the results of the previous version of our network, kida.uva.2011.