GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

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The next generation of cosmology experiments will be required to use photometric redshifts rather than spectroscopic redshifts. Obtaining accurate and well-characterized photometric redshift distributions is therefore critical for Euclid, the Large Synoptic Survey Telescope and the Square Kilometre...

書誌詳細
主要な著者:	Almosallam, I, Jarvis, M, Roberts, S
フォーマット:	Journal article
出版事項:	Oxford University Press 2016

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