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dc.contributor.authorKohn, C
dc.contributor.authorHelling, C
dc.contributor.authorEnghoff, M. Bødker
dc.contributor.authorHaynes, K
dc.contributor.authorSindel, JP
dc.contributor.authorKrog, D
dc.contributor.authorGobrecht, D
dc.date.accessioned2021-11-08T16:30:08Z
dc.date.available2021-11-08T16:30:08Z
dc.date.issued2021-10
dc.identifier276565841
dc.identifierd6a0d830-41e8-4670-83f9-20ece79fee2c
dc.identifier000709517900007
dc.identifier85118126844
dc.identifier.citationKohn , C , Helling , C , Enghoff , M B , Haynes , K , Sindel , JP , Krog , D & Gobrecht , D 2021 , ' Dust in brown dwarfs and extra-solar planets : VIII. TiO 2 seed formation: 3D Monte Carlo versus kinetic approach ' , Astronomy & Astrophysics , vol. 654 , A120 . https://doi.org/10.1051/0004-6361/202140378en
dc.identifier.issn0004-6361
dc.identifier.otherRIS: urn:DE5C3336E2FE71FD33AE42E73B3F78BD
dc.identifier.urihttps://hdl.handle.net/10023/24287
dc.descriptionCh.H and M.B.E. acknowledge funding from the European Union H2020-MSCA-ITN-2019 under grant agreement no. 860 470 (CHAMELEON), J.-P.S. acknowledges funding from the St Andrews St Leonard College international scholarship. D.G. acknowledges support from the ERC consolidator grant 646758 AEROSOL.en
dc.description.abstractContext. Modelling the formation of cloud condensation nuclei (CCNs) is key for predicting cloud properties in planet and brown dwarf atmospheres. The large diversity of exoplanets (rocky planets, mini-Neptunes, giant gas planets) requires a fundamental approach to cloud formation modelling in order to allow a full analysis of observational data contributing to exoplanet characterisation. Aims. We aim to understand the onset of cloud formation and study the formation of TiO2-CCNs. The formation of (TiO2)N clusters as precursors to extrasolar cloud formation is modelled by two different methods in order to understand their potential, identify underlying shortcomings, and to validate our methods. We propose potential spectral tracers for TiO2-CCN formation. Methods. We applied three-dimensional Monte Carlo (3D MC) simulations to model the collision-induced growth of TiO2-molecules to (TiO2)N-clusters in the free molecular flow regime of an atmospheric gas. We derived individual, time-dependent (TiO2)N cluster number densities. For T = 1000 K, the results are compared to a kinetic approach that utilises thermodynamic data for individual (TiO2)N clusters. Results. The (TiO2)N cluster size distribution is temperature dependent and evolves in time until a steady state is reached. For T = 1000 K, the 3D MC and the kinetic approach agree well regarding the cluster number densities for N = 1 horizontal ellipsis 10, the vivid onset of cluster formation, and the long transition into a steady state. Collision-induced growth and evaporation simulated using a 3D MC approach enables a faster onset of cluster growth through nucleation bursts. Different size distributions develop for monomer-cluster and for cluster-cluster growth, with the largest clusters appearing for cluster-cluster growth. Conclusions. The (TiO2)N cluster growth efficiency has a sweet-spot temperature at approximate to 1000 K at which CCN formation is triggered. The combination of local thermodynamic conditions and chemical processes therefore determines CCN formation efficiency. The onset of cloud formation may be observable through the (TiO2)4, (TiO2)5, and (TiO2)6 vibrational lines, which may be detectable with the Mid-Infrared Instrument on the James Webb Space Telescope or the Extremely Large Telescope's mid-IR imager, but more complete line-list data are desirable.
dc.format.extent16
dc.format.extent4326538
dc.language.isoeng
dc.relation.ispartofAstronomy & Astrophysicsen
dc.subjectPlanets and satellites: atmospheresen
dc.subjectPlanets and satellites: compositionen
dc.subjectPlanets and satellites: gaseous planetsen
dc.subjectOpacityen
dc.subjectMolecular processesen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subject3rd-DASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleDust in brown dwarfs and extra-solar planets : VIII. TiO2 seed formation: 3D Monte Carlo versus kinetic approachen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Commissionen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews. St Andrews Centre for Exoplanet Scienceen
dc.identifier.doi10.1051/0004-6361/202140378
dc.description.statusPeer revieweden
dc.identifier.grantnumber860470en


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