Bayesian photometric redshifts with empirical training sets

Bayesian photometric redshifts with empirical training sets

Bibliográfalaš dieđut
Váldodahkki:	Wolf, C
Materiálatiipa:	Journal article
Almmustuhtton:	2009

Geahča maid

Bayesian Photometric Redshifts for Weak Lensing Applications
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CFHTLenS: Improving the quality of photometric redshifts with precision photometry
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Euclid preparation: X. The Euclid photometric-redshift challenge
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Photometric redshift of X-ray sources in the Chandra Deep Field-South
Dahkki: Zheng, W, et al.
Almmustuhtton: (2004)

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MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS
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Photometric redshifts for type Ia supernovae in the supernova legacy survey
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Photometric selection of high-redshift type Ia supernova candidates
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The FENIKS Survey: Multiwavelength Photometric Catalog in the UDS Field, and Catalogs of Photometric Redshifts and Stellar Population Properties
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A Sparse Gaussian Process Framework for Photometric Redshift Estimation
Dahkki: Almosallam, I, et al.
Almmustuhtton: (2015)

Hybrid photometric redshifts for sources in the COSMOS and XMM-LSS fields
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Analytical marginalization over photometric redshift uncertainties in cosmic shear analyses
Dahkki: Ruiz-Zapatero, J, et al.
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The Herschel Multi-tiered Extragalactic Survey: SPIRE-mm photometric redshifts
Dahkki: Roseboom, I, et al.
Almmustuhtton: (2012)

Photometric redshifts for the Kilo-Degree Survey Machine-learning analysis with artificial neural networks
Dahkki: Bilicki, M, et al.
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A Photometric Redshift of z ~ 9.4 for GRB 090429B
Dahkki: Cucchiara, A, et al.
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Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning
Dahkki: Chong De Wei, Kenny, et al.
Almmustuhtton: (2019-01-01)

Support Vector Machines for Photometric Redshift Estimation from Broadband Photometry
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Almmustuhtton: (2007-08-01)

The 2-degree Field Lensing Survey: photometric redshifts from a large new training sample to r < 19.5
Dahkki: Wolf, C, et al.
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A photometric redshift of z = 6.39 +/- 0.12 for GRB 050904.
Dahkki: Haislip, J, et al.
Almmustuhtton: (2006)

Homogeneity and isotropy in the Two Micron All Sky Survey Photometric Redshift catalogue
Dahkki: Alonso, D, et al.
Almmustuhtton: (2015)

Accuracy of the Photometric Redshifts of Brightest Cluster Galaxies Identified in the CFHTLS-W1
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Photometric Redshift Estimation of Quasars by a Cross-modal Contrast Learning Method
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A catalogue of the Chandra Deep Field South with multi-colour classification and photometric redshifts from COMBO-17
Dahkki: Wolf, C, et al.
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Photometric redshifts for the next generation of deep radio continuum surveys – I. Template fitting
Dahkki: Duncan, K, et al.
Almmustuhtton: (2017)