Deep neural networks are trained to recover low-order Fourier elliptical components describing overall shape and orientation from simulated transit light curves of arbitrary 2D objects.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Including tidal and centrifugal gravity corrections increases retrieved molecular abundances in transmission spectra retrievals for WASP-12b (HST) and WASP-39b (JWST).
citing papers explorer
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Beyond Spherical geometry: Unraveling complex features of objects orbiting around stars from its transit light curve using deep learning
Deep neural networks are trained to recover low-order Fourier elliptical components describing overall shape and orientation from simulated transit light curves of arbitrary 2D objects.
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Effect of tidal gravity and planetary rotation on the retrieved atmospheric abundances of close-in exoplanets
Including tidal and centrifugal gravity corrections increases retrieved molecular abundances in transmission spectra retrievals for WASP-12b (HST) and WASP-39b (JWST).