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• W4387117741 abstract "Abstract High-precision exoplanet eclipse light curves, like those possible with JWST, enable flux and temperature mapping of exoplanet atmospheres. These eclipse maps will have unprecedented precision, providing an opportunity to constrain current theoretical predictions of exoplanet atmospheres. However, eclipse mapping has unavoidable mathematical limitations because many map patterns are unobservable. This “null space” has implications for making comparisons between predictions from general circulation models (GCMs) and the observed planet maps and thus affects our understanding of the physical processes driving the observed maps. We describe the eclipse-mapping null space and show how GCM forward models can be transformed to their observable modes for more appropriate comparison with retrieved eclipse maps, demonstrated with applications to synthetic data of an ultrahot Jupiter and a cloudy warm Jupiter under JWST best-case and extreme-precision observing scenarios. We show that the effects of the null space can be mitigated and manipulated through observational design, and JWST exposure times are short enough to not increase the size of the null space. Furthermore, we show the mathematical connection between the null space and the “eigenmapping” method, demonstrating how eigenmaps can be used to understand the null space in a model-independent way. We leverage this connection to incorporate null-space uncertainties in retrieved maps, which increases the uncertainties to encompass the ground truth for synthetic data. The comparisons between observed maps and forward models that are enabled by this work, and the improved eclipse-mapping uncertainties, will be critical to our interpretation of multidimensional aspects of exoplanets in the JWST era." @default.
• W4387117741 created "2023-09-29" @default.
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• W4387117741 date "2023-09-28" @default.
• W4387117741 modified "2023-10-18" @default.
• W4387117741 title "The Eclipse-mapping Null Space: Comparing Theoretical Predictions with Observed Maps" @default.
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• W4387117741 doi "https://doi.org/10.3847/1538-3881/acf862" @default.
• W4387117741 hasPublicationYear "2023" @default.
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