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Weather forecasting plays a vital role in today's society, from agriculture and logistics to predicting the output of renewable energies, and preparing for extreme weather events. Deep learning weather forecasting models trained with the next state p

Externí odkaz: http://arxiv.org/abs/2412.12971

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Latent Space Characterization of Autoencoder Variants

Autor: Shrivastava, Anika, Rameshan, Renu, Agnihotri, Samar

Understanding the latent spaces learned by deep learning models is crucial in exploring how they represent and generate complex data. Autoencoders (AEs) have played a key role in the area of representation learning, with numerous regularization techn

Externí odkaz: http://arxiv.org/abs/2412.04755

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A substellar flyby that shaped the orbits of the giant planets

Autor: Brown, Garett, Malhotra, Renu, Rein, Hanno

The modestly eccentric and non-coplanar orbits of the giant planets pose a challenge to solar system formation theories which generally indicate that the giant planets emerged from the protoplanetary disk in nearly perfectly circular and coplanar orb

Externí odkaz: http://arxiv.org/abs/2412.04583

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Imaging of the Vega Debris System using JWST/MIRI

Autor: Su, Kate Y. L., Gaspar, Andras, Rieke, George H., Malhotra, Renu, Matra, Luca, Wolff, Schuyler Grace, Leisenring, Jarron M., Beichman, Charles, Ygouf, Marie

We present images of the Vega planetary debris disk obtained at 15.5, 23, and 25.5 microns with the Mid-Infrared Instrument (MIRI) on JWST. The debris system is remarkably symmetric and smooth, and centered accurately on the star. There is a broad Ku

Externí odkaz: http://arxiv.org/abs/2410.23636

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