Redshift Prediction with Images for Cosmology Using a Bayesian Convolutional Neural Network with Conformal Predictions

In the emerging era of big data astrophysics, large-scale extragalactic surveys will soon provide high-quality imaging for billions of celestial objects to answer major questions in astrophysics such as the nature of dark matter and dark energy. Precision cosmology with surveys requires accurate pho...

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Váldodahkkit:	Evan Jones, Tuan Do, Yun Qi Li, Kevin Alfaro, Jack Singal, Bernie Boscoe
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IOP Publishing 2024-01-01
Ráidu:	The Astrophysical Journal
Fáttát:	Convolutional neural networks Bayesian statistics Cosmology Galaxy distances Redshifted
Liŋkkat:	https://doi.org/10.3847/1538-4357/ad6d5a
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