Improving Photometric Redshift Estimation using GPz: size information, post processing and improved photometry
The next generation of large scale imaging surveys (such as those conducted with the Large Synoptic Survey Telescope and Euclid) will require accurate photometric redshifts in order to optimally extract cosmological information. Gaussian Processes for photometric redshift estimation (GPz) is a promi...
المؤلفون الرئيسيون: | Gomes, Z, Jarvis, M, Almosallam, I, Roberts, S |
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التنسيق: | Journal article |
منشور في: |
Oxford University Press
2017
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مواد مشابهة
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GPz: non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts
حسب: Almosallam, I, وآخرون
منشور في: (2016) -
GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts
حسب: Almosallam, I, وآخرون
منشور في: (2016) -
A Sparse Gaussian Process Framework for Photometric Redshift Estimation
حسب: Almosallam, I, وآخرون
منشور في: (2015) -
CFHTLenS: Improving the quality of photometric redshifts with precision photometry
حسب: Hildebrandt, H, وآخرون
منشور في: (2012) -
CFHTLenS: Improving the quality of photometric redshifts with precision
photometry
حسب: Hildebrandt, H, وآخرون
منشور في: (2011)