Slicing Through Multicolor Space: Galaxy Redshifts From Broadband Photometry
arXiv:astro-ph/9508100 · doi:10.1086/117720
Abstract
As a means of better understanding the evolution of optically selected galaxies we consider the distribution of galaxies within the multicolor space , , and . We find that they form an almost planar distribution out to and . The position of a galaxy within this plane is dependent on its redshift, luminosity and spectral type. While in the original , , and space these properties are highly correlated we can define an optimal rotation of the photometric axes that makes much of this information orthogonal. Fitting the observed spectroscopic redshifts with a quadratic function of the four magnitudes we show that redshifts for galaxies can be estimated to an accuracy better than . This dispersion is due to the photometric uncertainties within the photographic data. Assuming no galaxy evolution we derive a set of simulated galaxy fluxes in the U, J, F and N passbands. Using these data we investigate how the redshift is encoded within the broadband magnitudes and the intrinsic dispersion of the photometric-redshift relation. We find that the signal that defines a galaxy's photometric redshift is not related to specific absorption or emission lines but comes from the break in the overall shape of the galaxy continuum at around 4000 Å. Using high signal-to-noise photometric data we estimate that it is possible to achieve an intrinsic dispersion of less than .
arXiv comment20 Pages, 6 figures; uuencoded, compressed, postscript files. Accepted for publication in AJ. Figure 1 (color JPEG file) and paper are available on http://tarkus.pha.jhu.edu/~ajc/
Cited by in corpus (234)
- The Sloan Digital Sky Survey: Technical Summary
- Weak Gravitational Lensing
- Accurate photometric redshifts for the CFHT Legacy Survey calibrated using the VIMOS VLT Deep Survey
- Bayesian photometric redshift estimation
- Spectroscopic Target Selection for the Sloan Digital Sky Survey: The Luminous Red Galaxy Sample
- Measuring and Modelling the Redshift Evolution of Clustering: the Hubble Deep Field North
- Spitzer view on the evolution of star-forming galaxies from z=0 to z~3
- ANNz: estimating photometric redshifts using artificial neural networks
- Probing the Universe with Weak Lensing
- Subaru Deep Survey V. A Census of Lyman Break Galaxies at z=4 and 5 in the Subaru Deep Fields: Photometric Properties
- The Evolution of the Global Star Formation History as Measured from the Hubble Deep Field
- A catalogue of the Chandra Deep Field South with multi-colour classification and photometric redshifts from COMBO-17
- Keck Spectroscopy of Redshift z~3 Galaxies in the Hubble Deep Field
- A new catalog of photometric redshifts in the Hubble Deep Field
- Data Mining and Machine Learning in Astronomy
- Weak Lensing and Cosmology
- A Critical Assessment of Photometric Redshift Methods: A CANDELS Investigation
- Efficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: II. ~1,000,000 Quasars from Data Release Six
- The Hubble Deep Field North SCUBA Super-map IV - Characterizing submillimetre galaxies using deep Spitzer imaging
- Fitting the integrated Spectral Energy Distributions of Galaxies
- Optical and Infrared Properties of the 2 Ms Chandra Deep Field-North X-ray Sources
- Cosmological Model Predictions for Weak Lensing: Linear and Nonlinear Regimes
- CFHTLenS: Improving the quality of photometric redshifts with precision photometry
- The Intrinsic Alignment of Galaxies and its Impact on Weak Gravitational Lensing in an Era of Precision Cosmology
- Faint Blue Galaxies
- TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests
- Clustering of Galaxies in a Hierarchical Universe: II. Evolution to High Redshift
- PHAT: PHoto-z Accuracy Testing
- Subaru Deep Survey II. Luminosity Functions and Clustering Properties of Lya Emitters at z=4.86 in the Subaru Deep Field
- Baryonic Signatures in Large-Scale Structure
- An Atlas of Galaxy Spectral Energy Distributions from the Ultraviolet to the Mid-Infrared
- The Evolution of Population Gradients in Galaxy Clusters: the Butcher-Oemler Effect and Cluster Infall
- The Angular Clustering of Lyman-Break Galaxies at Redshift z=3
- The CNOC2 Field Galaxy Luminosity Function I: A Description of Luminosity Function Evolution
- 2MASS Photometric Redshift catalog: a comprehensive three-dimensional census of the whole sky
- Photometric Redshifts for the SDSS Early Data Release
- Efficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: 100,000 z<3 Quasars from Data Release One
- Inferring the eccentricity distribution
- ANNz2 - photometric redshift and probability distribution function estimation using machine learning
- Estimating photometric redshifts with artificial neural networks
- Weak Lensing with SDSS Commissioning Data: The Galaxy-Mass Correlation Function To 1/h Mpc
- The ALHAMBRA Project: A large area multi medium-band optical and NIR photometric survey
- A Galaxy Photometric Redshift Catalog for the Sloan Digital Sky Survey Data Release 6
- Photometric Redshift with Bayesian Priors on Physical Properties of Galaxies
- Photometric redshifts from evolutionary synthesis with PEGASE: the code ZPEG and the z=0 age constraint
- Photometric Redshifts in the IRAC Shallow Survey
- Virial masses and the baryon fraction in galaxies
- The 3D Power Spectrum from Angular Clustering of Galaxies in Early SDSS Data
- Photometric redshifts and quasar probabilities from a single, data-driven generative model
- Angular Clustering with Photometric Redshifts in the Sloan Digital Sky Survey: Bimodality in the Clustering Properties of Galaxies
- The 1.6um Bump as a Photometric Redshift Indicator
- An Automated Cluster Finder: the Adaptive Matched Filter
- ArborZ: Photometric Redshifts Using Boosted Decision Trees
- Photometric redshifts with the Multilayer Perceptron Neural Network: application to the HDF-S and SDSS
- Estimating Photometric Redshifts Using Support Vector Machines
- Cosmology with photometric redshift surveys
- DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting
- The Nature of Damped Ly-alpha Absorbing Galaxies at z<=1--A Photometric Redshift Survey of Damped Ly-alpha Absorbers
- Euclid preparation: X. The Euclid photometric-redshift challenge
- The Redshift Distribution and Luminosity Functions of Galaxies in the Hubble Deep Field
- The CFHT Large Area U-band Deep Survey (CLAUDS)
- A blind test of photometric redshift prediction
- Discovery of a Galaxy Cluster via Weak Lensing
- Creating Spectral Templates from Multicolor Redshift Surveys
- Spectral Templates from Multicolor Redshift Surveys
- A Comparison of Six Photometric Redshift Methods Applied to 1.5 Million Luminous Red Galaxies
- Photometric Redshifts of Quasars
- MegaZ-LRG: A photometric redshift catalogue of one million SDSS Luminous Red Galaxies
- The CNOC2 Field Galaxy Redshift Survey I: The Survey and the Catalog for the Patch CNOC 0223+00
- Recovering Redshift Distributions with Cross-Correlations: Pushing The Boundaries
- Using Galaxy Two-point Correlation Functions to Determine the Redshift Distributions of Galaxies Binned by Photometric Redshift
- A Catalog of Compact Groups of Galaxies in the SDSS Commissioning Data
- Weak Lensing Reconstruction and Power Spectrum Estimation: Minimum Variance Methods
- Optimal filter systems for photometric redshift estimation
- A K-band Selected Photometric Redshift Catalog in the HDF-S: Sampling the Rest-Frame V-Band to z=3
- The Las Campanas Infrared Survey. IV. The Photometric Redshift Survey and the Rest-frame R-band Galaxy Luminosity Function at 0.5 <= z <= 1.5
- A Bayesian Classifier for Photometric Redshifts: Identification of high redshift clusters
- Reconstructing Redshift Distributions with Cross-Correlations: Tests and an Optimized Recipe
- Self-Supervised Representation Learning for Astronomical Images
- Shedding Light on the Galaxy Luminosity Function
- A Catalog of Color-based Redshift Estimates for z <~ 4 Galaxies in the Hubble Deep Field
- Novel Methods for Predicting Photometric Redshifts from Broad Band Photometry using Virtual Sensors
- The Near-Infrared Number Counts and Luminosity Functions of Local Galaxies
- KL Estimation of the Power Spectrum Parameters from the Angular Distribution of Galaxies in Early SDSS Data
- Using neural networks to estimate redshift distributions. An application to CFHTLenS
- Eight-Dimensional Mid-Infrared/Optical Bayesian Quasar Selection
- METAPHOR: A machine learning based method for the probability density estimation of photometric redshifts
- Photometric redshifts from reconstructed QSO templates
- On the compared accuracy and reliability of spectroscopic and photometric redshift measurements
- Reconstructing Galaxy Spectral Energy Distributions from Broadband Photometry
- The Photometric Redshift Distribution and Evolutionary Properties of Galaxies up to z= 4.5 in the Field of the Quasar BR1202-0725
- Low Resolution Spectral Templates For Galaxies From 0.2 -- 10 microns
- A blind test of photometric redshifts on ground-based data
- Estimating Luminosities and Stellar Masses of Galaxies Photometrically without Determining Redshifts
- Photometric redshifts for GRB afterglows from GROND and Swift/UVOT
- A catalogue of photometric redshifts for the SDSS-DR9 galaxies
- A Photometric Redshift Galaxy Catalog from the Red-Sequence Cluster Survey
- Quantitative analysis of galaxy-galaxy lensing
- Feature importance for machine learning redshifts applied to SDSS galaxies
- The Ultraviolet Luminosity Function of GALEX Galaxies at Photometric Redshifts Between 0.07 and 0.25
- Neural Networks and Photometric Redshifts
- Search Techniques for Distant Galaxies
- Exhausting the Information: Novel Bayesian Combination of Photometric Redshift PDFs
- Evolution of the Angular Correlation Function
- Photometric Redshifts for the Dark Energy Survey and VISTA and Implications for Large Scale Structure
- LSST: a Complementary Probe of Dark Energy
- Photometric Properties of 47 Clusters of Galaxies: I. The Butcher-Oemler Effect
- Bayesian inference from photometric redshift surveys
- Selection biases in empirical p(z) methods for weak lensing
- Photometric Redshift Probability Distributions for Galaxies in the SDSS DR8
- Baryon Oscillations and Consistency Tests for Photometrically-Determined Redshifts of Very Faint Galaxies
- Mining the SDSS archive. I. Photometric redshifts in the nearby universe
- Machine Learning based photometric redshifts for the KiDS ESO DR2 galaxies
- Improving Photometric Redshift Estimation using GPz: size information, post processing and improved photometry
- Sample variance in photometric redshift calibration: cosmological biases and survey requirements
- A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
- Spatially Resolved Galaxy Star Formation and its Environmental Dependence I
- New Improved Photometric Redshifts of Galaxies in the HDF
- What Lies Beneath: Using p(z) to Reduce Systematic Photometric Redshift Errors
- Cluster Mass Profiles from Weak Lensing II
- Caltech Faint Galaxy Redshift Survey VIII: Analysis for the Field J0053+1234
- A review of unsupervised learning in astronomy
- Astroinformatics of galaxies and quasars: a new general method for photometric redshifts estimation
- Bayesian photometric redshifts with empirical training sets
- Photometric redshift estimation based on data mining with PhotoRApToR
- Energetics of Gamma Ray Bursts
- Photometric redshifts and K-corrections for Sloan Digital Sky Survey Seven Data Release
- Galaxy Counts on the CMB Cold Spot
- Finding Galaxy Groups In Photometric Redshift Space: the Probability Friends-of-Friends (pFoF) Algorithm
- Luminosity Functions of Elliptical Galaxies at z < 1.2
- The SDSS Coadd: A Galaxy Photometric Redshift Catalog
- A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data
- Clustering-based redshift estimation: application to VIPERS/CFHTLS
- Photometric Redshift Estimation Using Spectral Connectivity Analysis
- Empirical Photometric Redshifts of Luminous Red Galaxies and Clusters in SDSS
- Variable Extended Objects in SA 57
- A Unified Framework for Photometric Redshifts
- Recovering galaxy stellar population properties from broad-band spectral energy distribution fitting II. The case with unknown redshift
- Superclustering at Redshift Z=0.54
- Astrometric Redshifts for Quasars
- Photometric Redshifts in the Hawaii-Hubble Deep Field-North (H-HDF-N)
- Photometric Redshifts from SDSS Images with an Interpretable Deep Capsule Network
- A Principal Component Analysis of the 3B Gamma-Ray Burst Data
- The HST Medium Deep Survey Cluster Sample: Methodology and Data
- A VLT/FORS2 spectroscopic survey in the HDF-S
- The clustering of galaxies around three damped Ly-alpha absorbers at Redshift Three
- Keck Deep Fields. I. Observations, Reductions, and the Selection of Faint Star-Forming Galaxies at Redshifts z~4, 3, and 2
- Measuring large-scale structure with quasars in narrow-band filter surveys
- The Evolution of Radio Galaxies at Intermediate Redshift
- The Overlooked Potential of Generalized Linear Models in Astronomy-II: Gamma regression and photometric redshifts
- Extended Photometry for the DEEP2 Galaxy Redshift Survey: A Testbed for Photometric Redshift Experiments
- Clustering Properties of restframe UV selected galaxies II: Migration of Star Formation sites with cosmic time from GALEX and CFHTLS
- Improving the reliability of photometric redshift with machine learning
- Early-type Galaxies in the Hubble Deep Field. The <mu_e>-r_e relation and the lack of large galaxies at high redshift
- Hierarchical probabilistic inference of cosmic shear
- A new method to improve photometric redshift reconstruction. Applications to the Large Synoptic Survey Telescope
- Photometric redshifts with machine learning, lights and shadows on a complex data science use case
- Assessing the photometric redshift precision of the S-PLUS survey: the Stripe-82 as a test-case
- The first analytical expression to estimate photometric redshifts suggested by a machine
- Gamma photometric redshifts for long gamma-ray bursts
- A new (2+1)D cluster finding algorithm based on photometric redshifts: large scale structure in the Chandra Deep Field South
- Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies
- Classification and redshift estimation by principal component analysis
- Testing the accuracy of clustering redshift with simulations
- The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch
- Characterizing and Propagating Modeling Uncertainties in Photometrically-Derived Redshift Distributions
- Evolution in the Clustering of Galaxies for Z < 1
- On estimating redshift and luminosity distributions in photometric redshift surveys
- A Model-Independent Photometric Redshift Estimator for Type Ia Supernovae
- Evolution of environment dependent galaxy properties in the Sloan Digital Sky Survey
- Kernel Regression For Determining Photometric Redshifts From Sloan Broadband Photometry
- Using the 1.6um Bump to Study Rest-frame NIR Selected Galaxies at Redshift 2
- Two novel approaches for photometric redshift estimation based on SDSS and 2MASS databases
- A New Technique for Galaxy Photometric Redshifts in the Sloan Digital Sky Survey
- Improving Correlation Function Fitting with Ridge Regression: Application to Cross-Correlation Reconstruction
- Photometric Redshifts with Surface Brightness Priors
- New "Einstein Cross" Gravitational Lens Candidates in HST WFPC2 Survey Images
- The Palomar Abell Cluster Optical Survey I: Photometric Redshifts for 431 Abell Clusters
- Photometric Redshift Determination with the BATC Multicolor System
- Calibrating photometric redshift measurements with the Multi-channel Imager (MCI) of the China Space Station Telescope (CSST)
- Mock galaxy redshift catalogues from simulations: implications for Pan-STARRS1
- Photometric Redshifts and Signal-to-Noise
- Galaxy morphoto-Z with neural Networks (GaZNets). I. Optimized accuracy and outlier fraction from Imaging and Photometry
- Color Tomography
- The Phoenix Deep Survey: Optical and near infrared imaging catalogs
- Groups and protocluster candidates in the CLAUDS and HSC-SSP joint deep surveys
- Clustering Properties of restframe UV selected galaxies I: the correlation length derived from GALEX data in the local Universe
- Photometric redshift estimation of galaxies in the DESI Legacy Imaging Surveys
- The Faint End Slopes Of Galaxy Luminosity Functions In The COSMOS 2-Square Degree Field
- Photometric Redshift Estimation with Galaxy Morphology using Self-Organizing Maps
- Luminosity Functions And Evolution Of Blue Galaxies In A Deep Multicolor CCD Field Survey
- The Clustering of AGN and Galaxies at Intermediate Redshift
- Compact galaxies and the size-mass galaxy distribution from a colour-selected sample at 0.04 < z < 0.15 supplemented by ugrizYJHK photometric redshifts
- Galaxy Tagging: photometric redshift refinement and group richness enhancement
- Effect of Inclination of Galaxies on Photometric Redshift
- Optimal multihump filter for photometric redshifts
- Of Genes and Machines: application of a combination of machine learning tools to astronomy datasets
- Morphology Classification and Photometric Redshift Measurement of Galaxies
- Spectroscopy of Luminous Compact Blue Galaxies in Distant Clusters I. Spectroscopic Data
- Automated measurement of redshift from mid-infrared low resolution spectroscopy
- Recovering the real-space correlation function from photometric redshift surveys
- Toward High-Precision Measures of Large-Scale Structure
- Cross-Correlating Cosmic Microwave Background Radiation Fluctuations with Redshift Surveys: Detecting the Signature of Gravitational Lensing
- Selection of high-z supernovae candidates
- PICZL: Image-based Photometric Redshifts for AGN
- Unsupervised spectral decomposition of X-ray binaries with application to GX 339-4
- Photo-z-SQL: integrated, flexible photometric redshift computation in a database
- Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case
- Photometric Redshifts and Photometry Errors
- Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data
- Compact Nuclei in Galaxies at Moderate Redshift: I. Imaging and Spectroscopy
- An Optical Multicolor System For Measuring Galaxy Redshifts And Spectral Types
- Bayesian Photometric Redshifts for Weak Lensing Applications
- Cross-Roads in Studies of Galaxy Evolution
- Improved Photometric Redshifts with Surface Luminosity Priors
- Estimating Galactic Distances From Images Using Self-supervised Representation Learning
- Learning Spectral Templates for Photometric Redshift Estimation from Broadband Photometry
- The Galaxy Population of Cl1601+42 at z=0.54
- Rejection criteria based on outliers in the KiDS photometric redshifts and PDF distributions derived by machine learning
- Applying Information Theory to Design Optimal Filters for Photometric Redshifts
- The Luminosity Function for L>L* Galaxies at z > 3
- Galaxy Redshifts from Discrete Optimization of Correlation Functions
- Machine learning applications in astrophysics: Photometric redshift estimation
- Analysis of interacting and isolated quasars
- Photo-Met: a non-parametric method for estimating stellar metallicity from photometric observations
- Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy
- Contaminating Electromagnetic Transients in LISA Gravitational Wave Localization Volumes. I: The Intrinsic Rates
- Probability density estimation of photometric redshifts based on machine learning
- Lower bounds on photometric redshift errors from Type Ia supernovae templates
- Improving Photometric Redshifts by Merging Probability Density Functions from Template-Based and Machine Learning Algorithms
- Hybrid-z: Enhancing Kilo-Degree Survey bright galaxy sample photometric redshifts with deep learning
- Low X-Ray Luminosity Galaxy Clusters: Main goals, sample selection, photometric and spectroscopic observations
- Machine learning analysis of Photometric data from the Dark Energy Survey
- Photometric Redshift Estimation Using Scaled Ensemble Learning