Estimating photometric redshifts with artificial neural networks
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TheXMMCluster Survey: the halo occupation number of BOSS galaxies in X-ray clustersThe build-up of the colour-magnitude relation in galaxy clusters since z 0.8The evolution of the luminosity functions in the FORS Deep Field from low to high redshiftImpact of redshift information on cosmological applications with next-generation radio surveysRecovering galaxy stellar population properties from broad-band spectral energy distribution fitting - II. The case with unknown redshiftAccurate photometric redshift probability density estimation – method comparison and applicationPhotometric redshifts with the Multilayer Perceptron Neural Network: Application to the HDF-S and SDSSThe 2-degree Field Lensing Survey: photometric redshifts from a large new training sample tor < 19.5
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P2860
Estimating photometric redshifts with artificial neural networks
description
article
@en
im März 2003 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в березні 2003
@uk
name
Estimating photometric redshifts with artificial neural networks
@en
Estimating photometric redshifts with artificial neural networks
@nl
type
label
Estimating photometric redshifts with artificial neural networks
@en
Estimating photometric redshifts with artificial neural networks
@nl
prefLabel
Estimating photometric redshifts with artificial neural networks
@en
Estimating photometric redshifts with artificial neural networks
@nl
P2860
P1476
Estimating photometric redshifts with artificial neural networks
@en
P2093
Ofer Lahav
P2860
P304
P356
10.1046/J.1365-8711.2003.06271.X
P407
P577
2003-03-01T00:00:00Z
P818
astro-ph/0203250
P819
2003MNRAS.339.1195F