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dc.contributor.authorGonzales, Eileen C.
dc.contributor.authorBurningham, Ben
dc.contributor.authorFaherty, Jacqueline K.
dc.contributor.authorLewis, Nikole K.
dc.contributor.authorVisscher, Channon
dc.contributor.authorMarley, Mark
dc.date.accessioned2022-10-17T10:30:02Z
dc.date.available2022-10-17T10:30:02Z
dc.date.issued2022-10-13
dc.identifier.citationGonzales , E C , Burningham , B , Faherty , J K , Lewis , N K , Visscher , C & Marley , M 2022 , ' A Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Properties ' , The Astrophysical Journal , vol. 938 , no. 1 , 56 . https://doi.org/10.3847/1538-4357/ac8f2a
dc.identifier.issn0004-637X
dc.identifier.otherArXiv: http://arxiv.org/abs/2209.02754v1
dc.identifier.otherORCID: /0000-0003-4600-5627/work/121257224
dc.identifier.urihttp://hdl.handle.net/2299/25813
dc.description© 2022. The Author(s). Published by the American Astronomical Society. This is an open access article distributed under the Creative Commons Attribution License, to view a copy of the license, see: https://creativecommons.org/licenses/by/4.0/
dc.description.abstractComparisons of atmospheric retrievals can reveal powerful insights on the strengths and limitations of our data and modeling tools. In this paper, we examine a sample of 5 similar effective temperature (Teff) or spectral type L dwarfs to compare their pressure-temperature (P-T) profiles. Additionally, we explore the impact of an object's metallicity and the observations' signal-to-noise (SNR) on the parameters we can retrieve. We present the first atmospheric retrievals: 2MASS J15261405$+$2043414, 2MASS J05395200$-$0059019, 2MASS J15394189$-$0520428, and GD 165B increasing the small but growing number of L-dwarfs retrieved. When compared to atmospheric retrievals of SDSS J141624.08+134826.7, a low-metallicity d/sdL7 primary in a wide L+T binary, we find similar Teff sources have similar P-T profiles with metallicity differences impacting the relative offset between their P-T profiles in the photosphere. We also find that for near-infrared spectra, when the SNR is $\gtrsim80$ we are in a regime where model uncertainties dominate over data measurement uncertainties. As such, SNR does not play a role in the retrieval's ability to distinguish between a cloud-free and cloudless model, but may impact the confidence of the retrieved parameters. Lastly, we also discuss how to break cloud model degeneracies and the impact of extraneous gases in a retrieval model.en
dc.format.extent14
dc.format.extent832191
dc.language.isoeng
dc.relation.ispartofThe Astrophysical Journal
dc.subjectastro-ph.EP
dc.subjectastro-ph.SR
dc.titleA Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Propertiesen
dc.contributor.institutionCentre for Astrophysics Research (CAR)
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Physics, Astronomy and Mathematics
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.3847/1538-4357/ac8f2a
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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