90 citations · 103 across the 10 of their papers we have counts for
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Automated Assignment and Prediction of Molecules in Astronomical Line Surveys Using Machine-Learning-Based Chemical Embeddings
Zachary T. P. Fried, Ryan A. Loomis, Jes K. Jørgensen +6
Modern radio telescopes generate vast amounts of observational data, offering valuable insights into the molecular composition of interstellar sources. Identifying the molecules wi…
Exploring the Limits of Spectral Line Stacking in Spectral Line Data and Application Toward the Detection of Bulk C Enrichment of Aromatics in TMC-1
Miya Duffy, Ryan A. Loomis, Martin S. Holdren +9
The formation history of polycyclic aromatic hydrocarbons (PAHs) in the interstellar medium remains a topic of active debate, with proposed mechanisms ranging from high-temperature…
Detection of the Polycyclic Aromatic Hydrocarbon Phenalene (CH) in the Very Low Luminosity Object (VeLLO) MC27/L1521F
Gabi Wenzel, Thomas H. Speak, Ci Xue +12
To date, 14 polycyclic aromatic hydrocarbons (PAHs) ranging in size from two to seven (including five- and six-membered) carbon rings have been detected in the starless dense core…