New insights on the accuracy of photometric redshift measurements
arXiv:astro-ph/0110292 · doi:10.1051/0004-6361:20011409
Abstract
We use the deepest and most complete redshift catalog currently available (the Hubble Deep Field (HDF) North supplemented by new HDF South redshift data) to minimize residuals between photometric and spectroscopic redshift estimates. The good agreement at z_spec < 1.5 shows that model libraries provide a good description of the galaxy population. At z_spec > 2.0, the systematic shift between photometric and spectroscopic redshifts decreases when the modeling of the absorption by the interstellar and intergalactic media is refined. As a result, in the entire redshift range 0 < z < 6, residuals between photometric and spectroscopic redshifts are roughly halved. For objects fainter than the spectroscopic limit, the main source of uncertainty in photometric redshifts is related to photometric errors, and can be assessed with Monte Carlo simulations.
18 pages, 9 encapsulated postscript figures, LateX, accepted for publication in A&A
References in corpus (30)
- Maps of Dust IR Emission for Use in Estimation of Reddening and CMBR Foregrounds
- Starburst99: Synthesis Models for Galaxies with Active Star Formation
- High Redshift Galaxies in the Hubble Deep Field. Color Selection and Star Formation History to z=4
- Dust Absorption And The Ultraviolet Luminosity Density At z \approx 3 As Calibrated By Local Starburst Galaxies
- The Hubble Deep Field: Observations, Data Reduction, and Galaxy Photometry
- Measuring and Modelling the Redshift Evolution of Clustering: the Hubble Deep Field North
- The Evolution of the Global Star Formation History as Measured from the Hubble Deep Field
- Keck Spectroscopy of Redshift z~3 Galaxies in the Hubble Deep Field
- A new catalog of photometric redshifts in the Hubble Deep Field
- Caltech Faint Galaxy Redshift Survey X: A Redshift Survey in the Region of the Hubble Deep Field North
- The infrared side of galaxy formation. I. The local universe in the semi-analytical framework
- The Discovery of a Luminous z=5.80 Quasar from the Sloan Digital Sky Survey
- The Panchromatic Starburst Intensity Limit At Low And High Redshift
- Evolution of the Galaxy Population Based on Photometric Redshifts in the Hubble Deep Field
- Dust in Starburst Galaxies
- Optical-IR Spectral Energy Distributions of z>2 Lyman Break Galaxies
- Photometric redshifts and selection of high redshift galaxies in the NTT and Hubble Deep Fields
- The Hubble Deep Fields
- Early-Type Galaxies in the Hubble Deep Field: The Star Formation History
- Serendipitously Detected Galaxies in the Hubble Deep Field
- A z=5.34 Galaxy Pair in the Hubble Deep Field
- Properties of High-Redshift Lyman Alpha Clouds I. Statistical Analysis of the SSG Quasars
- The Ultraviolet Luminosity Density of the Universe from Photometric Redshifts of Galaxies in the Hubble Deep Field
- On the compared accuracy and reliability of spectroscopic and photometric redshift measurements
- Caltech Faint Galaxy Redshift Survey XIII: Spectral Energy Distributions for Galaxies in the Region of the Hubble Deep Field North
- Evolution of the Angular Correlation Function
- Deep HST imaging surveys and the formation of spheroidal galaxies
- A critical appraisal of the SED fitting method to estimate photometric redshifts
- A Uniform Analysis of the Ly-alpha forest at z = 0 - 5: I. The sample and distribution of clouds at z > 1.7
- Galaxy Clustering at z ~ 2 and Halo Radii
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- Photometric redshifts from evolutionary synthesis with PEGASE: the code ZPEG and the z=0 age constraint
- Photometric redshifts with the Multilayer Perceptron Neural Network: application to the HDF-S and SDSS
- The Las Campanas IR Survey. II. Photometric redshifts, comparison with models and clustering evolution
- Radiative Transfer Model of Dust Attenuation Curves in Clumpy, Galactic Environments
- Shedding Light on the Galaxy Luminosity Function
- The colour distribution of galaxies at redshift five
- Neural Networks and Photometric Redshifts
- The Dust in Lyman Break Galaxies
- Ultraviolet Properties of Primeval Galaxies: Theoretical Models from Stellar Population Synthesis
- Error analysis of the photometric redshift tecnique
- On the Invariant Distribution of Galaxies in the re--mie plane out to z = 0.64
- SPLASH-SXDF Multi-wavelength Photometric Catalog
- Mining the SDSS archive. I. Photometric redshifts in the nearby universe
- Optical - Near-Infrared catalogue for the AKARI North Ecliptic Pole Deep Field
- A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data
- Photometric redshifts with Quasi Newton Algorithm (MLPQNA). Results in the PHAT1 contest
- Probing galaxy evolution through the internal colour gradients, the Kormendy relations and the Photometric Plane of cluster galaxies at z~0.2
- The clustering of galaxies around three damped Ly-alpha absorbers at Redshift Three
- A multi-wavelength analysis of a collection of short-duration GRBs observed between 2012-2015
- Photometric Redshift Determination with the BATC Multicolor System
- Optical (VRI) Photometry in the Field of the Galaxy Cluster AC 118 at z=0.31
- The Clowes-Campusano Large Quasar Group Survey: I. GALEX selected sample of LBGs at z1
- Photometric Properties of Galaxy Population in the Cluster EIS 0048-2942 at z~0.64
- Recovered SN Ia rate from simulated LSST images
- Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
- Global Properties of the Rich Cluster ABCG 209 at z~0.2. Spectroscopic and Photometric Catalogue
- Machine learning analysis of Photometric data from the Dark Energy Survey