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dc.contributor.authorWelbanks, L
dc.contributor.authorMadhusudhan, N
dc.date.accessioned2022-07-05T20:00:14Z
dc.date.available2022-07-05T20:00:14Z
dc.date.issued2022
dc.date.submitted2021-12-16
dc.identifier.citationThe Astrophysical Journal, volume 933, issue 1, article-number 79
dc.identifier.issn0004-637X
dc.identifier.otherapjac6df1
dc.identifier.otherac6df1
dc.identifier.otheraas36653
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338821
dc.description.abstractThe complexity of atmospheric retrieval models is largely data-driven and one-dimensional models have generally been considered adequate with current data quality. However, recent studies have suggested that using 1D models in retrievals can result in anomalously cool terminator temperatures and biased abundance estimates even with existing transmission spectra of hot Jupiters. Motivated by these claims and upcoming high-quality transmission spectra we systematically explore the limitations of 1D models using synthetic and current observations. We use 1D models of varying complexity, both analytic and numerical, to revisit claims of biases when interpreting transmission spectra of hot Jupiters with inhomogeneous terminator compositions. Overall, we find the reported biases to be resulting from specific model assumptions rather than intrinsic limitations of 1D atmospheric models in retrieving current observations of asymmetric terminators. Additionally, we revise atmospheric retrievals of the hot Jupiter WASP-43b ($T_{\rm eq}=1440$ K) and the ultra-hot Jupiter WASP-103b ($T_{\rm eq}=2484$ K ) for which previous studies inferred abnormally cool atmospheric temperatures. We retrieve temperatures consistent with expectations. We note, however, that in the limit of extreme terminator inhomogeneities and high data quality some atmospheric inferences may conceivably be biased, although to a lesser extent than previously claimed. To address such cases, we implement a 2D retrieval framework for transmission spectra which allows accurate constraints on average atmospheric properties and provides insights into the spectral ranges where the imprints of atmospheric inhomogeneities are strongest. Our study highlights the need for careful considerations of model assumptions and data quality before attributing biases in retrieved estimates to unaccounted atmospheric inhomogeneities.
dc.languageen
dc.publisherAmerican Astronomical Society
dc.subject350
dc.subjectThe Solar System, Exoplanets, and Astrobiology
dc.titleOn Atmospheric Retrievals of Exoplanets with Inhomogeneous Terminators
dc.typeArticle
dc.date.updated2022-07-05T20:00:14Z
prism.publicationNameAstrophysical Journal
dc.identifier.doi10.17863/CAM.86228
dcterms.dateAccepted2022-05-03
rioxxterms.versionofrecord10.3847/1538-4357/ac6df1
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidWelbanks, L [0000-0003-0156-4564]
dc.contributor.orcidMadhusudhan, N [0000-0002-4869-000X]
dc.identifier.eissn1538-4357
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/P020259/1)
cam.issuedOnline2022-07-05


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