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pro vyhledávání: '"JONES, EVAN"'
We present a dataset built for machine learning applications consisting of galaxy photometry, images, spectroscopic redshifts, and structural properties. This dataset comprises 286,401 galaxy images and photometry from the Hyper-Suprime-Cam Survey PD
Externí odkaz:
http://arxiv.org/abs/2410.00271
Generative models producing images have enormous potential to advance discoveries across scientific fields and require metrics capable of quantifying the high dimensional output. We propose that astrophysics data, such as galaxy images, can test gene
Externí odkaz:
http://arxiv.org/abs/2407.07229
We present results exploring the role that probabilistic deep learning models can play in cosmology from large-scale astronomical surveys through photometric redshift (photo-z) estimation. Photo-z uncertainty estimates are critical for the science go
Externí odkaz:
http://arxiv.org/abs/2306.13179
Autor:
JONES, EVAN1
Publikováno v:
Notes. Sep2024, Vol. 81 Issue 1, p202-207. 6p.