activity
20222024
most citedSulphur dioxide in the mid-infrared transmission spectrum of WASP-39b

96 citations · 102 across the 3 of their papers we have counts for

collaborators

6 papers

astro-ph.EP2024

ExoMol line lists -- LX. Molecular line list for the ammonia isotopologue NH

Sergei N. Yurchenko, Charles A. Bowesman, Ryan P. Brady +10

A theoretical line list for NH CoYuTe-15 is presented based on the empirical potential energy and ab initio dipole moments surfaces developed and used for the production…

astro-ph.EP202496 cited

Sulphur dioxide in the mid-infrared transmission spectrum of WASP-39b

Diana Powell, Adina D. Feinstein, Elspeth K. H. Lee +70

The recent inference of sulphur dioxide (SO) in the atmosphere of the hot (1100 K), Saturn-mass exoplanet WASP-39b from near-infrared JWST observations suggests that phot…

astro-ph.GA2024

The 2024 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres

Jonathan Tennyson, Sergei N. Yurchenko, Jingxin Zhang +27

The ExoMol database (www.exomol.com) provides molecular data for spectroscopic studies of hot atmospheres. These data are widely used to model atmospheres of exoplanets, cool stars…

physics.ao-ph2023

Collisional broadening of molecular rovibronic lines

Jeanna Buldyreva, Ryan P. Brady, Sergei N. Yurchenko +1

To meet burning needs of high-resolution pressure-induced line-shape parameters in the UV/visible regions for hot-temperature industrial and atmospheric applications as well as cur…

astro-ph.EP2023

ExoMol line lists -- LVI: The SO line list, MARVEL analysis of experimental transition data and refinement of the spectroscopic model

Ryan P. Brady, Sergei N. Yurchenko, Jonathan Tennyson +1

A semi-empirical IR/Vis line list, SOLIS, for the sulphur monoxide molecule SO is presented. SOLIS includes accurate empirical rovibrational energy levels, uncertaint…

cs.CV20226 cited

Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding

Guofeng Mei, Cristiano Saltori, Fabio Poiesi +4

Unsupervised learning on 3D point clouds has undergone a rapid evolution, especially thanks to data augmentation-based contrastive methods. However, data augmentation is not ideal…