A blind test of photometric redshifts on ground-based data

A blind test of photometric redshifts on ground-based data

Bibliografiska uppgifter
Huvudupphovsmän:	Hildebrandt, H, Wolf, C, Benitez, N
Materialtyp:	Journal article
Språk:	English
Publicerad:	2008

Liknande verk

Bayesian photometric redshifts with empirical training sets
av: Wolf, C
Publicerad: (2009)

CFHTLenS: Improving the quality of photometric redshifts with precision photometry
av: Hildebrandt, H, et al.
Publicerad: (2011)

CFHTLenS: Improving the quality of photometric redshifts with precision photometry
av: Hildebrandt, H, et al.
Publicerad: (2012)

Cosmology with photometric redshifts
av: Gomes, Z
Publicerad: (2019)

Bayesian Photometric Redshifts for Weak Lensing Applications
av: Edmondson, E, et al.
Publicerad: (2006)

Photometric redshifts for galaxies in the GOODS southern field
av: Mobasher, B, et al.
Publicerad: (2004)

Photometric redshift estimation using Gaussian processes
av: Bonfield, D, et al.
Publicerad: (2010)

MAPPING THE GALAXY COLOR–REDSHIFT RELATION: OPTIMAL PHOTOMETRIC REDSHIFT CALIBRATION STRATEGIES FOR COSMOLOGY SURVEYS
av: Masters, Daniel, et al.
Publicerad: (2016)

Calibrating photometric redshifts with intensity mapping observations
av: Alonso, D, et al.
Publicerad: (2017)

Measuring the transition to homogeneity with photometric redshift surveys
av: Alonso, D, et al.
Publicerad: (2014)

Photometric redshifts for the Kilo-Degree Survey Machine-learning analysis with artificial neural networks
av: Bilicki, M, et al.
Publicerad: (2018)

Euclid preparation: X. The Euclid photometric-redshift challenge
av: Desprez, G, et al.
Publicerad: (2020)

Improving Photometric Redshift Estimates with Training Sample Augmentation
av: Irene Moskowitz, et al.
Publicerad: (2024-01-01)

Photometric redshift of X-ray sources in the Chandra Deep Field-South
av: Zheng, W, et al.
Publicerad: (2004)

Augmenting machine learning photometric redshifts with Gaussian mixture models
av: Hatfield, PW, et al.
Publicerad: (2020)

UVCANDELS: Catalogs of Photometric Redshifts and Galaxy Physical Properties
av: Vihang Mehta, et al.
Publicerad: (2024-01-01)

Tracing the sound horizon scale with photometric redshift surveys
av: Sánchez, E, et al.
Publicerad: (2011)

Photometric selection of high-redshift type Ia supernova candidates
av: Sullivan, M, et al.
Publicerad: (2006)

Photometric selection of high-redshift type Ia supernova candidates
av: Sullivan, M, et al.
Publicerad: (2006)

Photometric redshifts for type Ia supernovae in the supernova legacy survey
av: Palanque-Delabrouille, N, et al.
Publicerad: (2010)

Photometric redshifts for type Ia supernovae in the supernova legacy survey
av: Palanque-Delabrouille, N, et al.
Publicerad: (2010)

Hybrid photometric redshifts for sources in the COSMOS and XMM-LSS fields
av: Hatfield, PW, et al.
Publicerad: (2022)

A Sparse Gaussian Process Framework for Photometric Redshift Estimation
av: Almosallam, I, et al.
Publicerad: (2015)

COSMOS2015 photometric redshifts probe the impact of filaments on galaxy properties
av: Laigle, C, et al.
Publicerad: (2017)

The FENIKS Survey: Multiwavelength Photometric Catalog in the UDS Field, and Catalogs of Photometric Redshifts and Stellar Population Properties
av: Kumail Zaidi, et al.
Publicerad: (2024-01-01)

PHOTOMETRY AND PHOTOMETRIC REDSHIFT CATALOGS FOR THE LOCKMAN HOLE DEEP FIELD
av: Fotopoulou, S, et al.
Publicerad: (2012)

The Herschel Multi-tiered Extragalactic Survey: SPIRE-mm photometric redshifts
av: Roseboom, I, et al.
Publicerad: (2012)

A Photometric Redshift of z ~ 9.4 for GRB 090429B
av: Cucchiara, A, et al.
Publicerad: (2011)

Analytical marginalization over photometric redshift uncertainties in cosmic shear analyses
av: Ruiz-Zapatero, J, et al.
Publicerad: (2023)

A photometric redshift of z = 6.39 +/- 0.12 for GRB 050904.
av: Haislip, J, et al.
Publicerad: (2006)

Photometric Redshifts With Machine Learning, Lights and Shadows on a Complex Data Science Use Case
av: Massimo Brescia, et al.
Publicerad: (2021-06-01)

The 2-degree Field Lensing Survey: photometric redshifts from a large new training sample to r < 19.5
av: Wolf, C, et al.
Publicerad: (2016)

Hierarchical Bayesian Inference of Photometric Redshifts with Stellar Population Synthesis Models
av: Boris Leistedt, et al.
Publicerad: (2023-01-01)

Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning
av: Chong De Wei, Kenny, et al.
Publicerad: (2019-01-01)

Support Vector Machines for Photometric Redshift Estimation from Broadband Photometry
av: Dan Wang, et al.
Publicerad: (2007-08-01)

Photometric Redshift Estimation of Quasars by a Cross-modal Contrast Learning Method
av: Chen Zhang, et al.
Publicerad: (2024-01-01)

A catalogue of the Chandra Deep Field South with multi-colour classification and photometric redshifts from COMBO-17
av: Wolf, C, et al.
Publicerad: (2004)

Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST
av: Bingjie Wang, et al.
Publicerad: (2023-01-01)

Accuracy of the Photometric Redshifts of Brightest Cluster Galaxies Identified in the CFHTLS-W1
av: Sinan Aliş
Publicerad: (2024-12-01)

Improving Photometric Redshift Estimation for Cosmology with LSST Using Bayesian Neural Networks
av: Evan Jones, et al.
Publicerad: (2024-01-01)