12 citations · 31 across the 9 of their papers we have counts for
9 papers
Molecular Mobility of Extraterrestrial Ices: Surface Diffusion in Astrochemistry and Planetary Science
N. F. W. Ligterink, C. Walsh, H. M. Cuppen +12
Molecules are ubiquitous in space. They are necessary component in the creation of habitable planetary systems and can provide the basic building blocks of life. Solid-state proces…
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning
Gijs Vermariën, Serena Viti, Johannes Heyl +1
Context. The outer Milky Way has a lower metallicity than our solar neighbourhood, but still many molecules are detected in the region. Molecular line ratios can serve as probes to…
Disentangling Multiple Emitting Components in Molecular Observations with Non-negative Matrix Factorization
Damien de Mijolla, Jonathan Holdship, Serena Viti +1
Molecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially r…
Understanding Molecular Abundances in Star-Forming Regions Using Interpretable Machine Learning
Johannes Heyl, Joshua Butterworth, Serena Viti
Astrochemical modelling of the interstellar medium typically makes use of complex computational codes with parameters whose values can be varied. It is not always clear what the ex…
A statistical and machine learning approach to the study of astrochemistry
Johannes Heyl, Serena Viti, Gijs Vermariën
In order to obtain a good understanding of astrochemistry, it is crucial to better understand the key parameters that govern grain-surface chemistry. For many chemical networks, th…
Investigating the impact of reactions of C and CH with molecular hydrogen on a glycine gas-grain network
Johannes Heyl, Thanja Lamberts, Serena Viti +1
The impact of including the reactions of C and CH with molecular hydrogen in a gas-grain network is assessed via a sensitivity analysis. To this end, we vary 3 parameters, namely,…
Identifying the most constraining ice observations to infer molecular binding energies
Johannes Heyl, Elena Sellentin, Jonathan Holdship +1
In order to understand grain-surface chemistry, one must have a good understanding of the reaction rate parameters. For diffusion-based reactions, these parameters are binding ener…
Using Statistical Emulation and Knowledge of Grain-Surface Diffusion for Bayesian Inference of Reaction Rate Parameters: An Application to a Glycine Network
Johannes Heyl, Jonathan Holdship, Serena Viti
There exists much uncertainty surrounding interstellar grain-surface chemistry. One of the major reaction mechanisms is grain-surface diffusion for which the the binding energy par…
Exploiting Network Topology for Accelerated Bayesian Inference of Grain Surface Reaction Networks
Johannes Heyl, Serena Viti, Jonathan Holdship +1
In the study of grain-surface chemistry in the interstellar medium, there exists much uncertainty regarding the reaction mechanisms with few constraints on the abundances of grain-…