Photometric Redshifts for Next-Generation Surveys
arXiv:2206.13633 · doi:10.1146/annurev-astro-032122-014611
Abstract
Photometric redshifts are essential in studies of both galaxy evolution and cosmology, as they enable analyses of objects too numerous or faint for spectroscopy. The Rubin Observatory, Euclid, and Roman Space Telescope will soon provide a new generation of imaging surveys with unprecedented area coverage, wavelength range, and depth. To take full advantage of these datasets, further progress in photometric redshift methods is needed. In this review, we focus on the greatest common challenges and prospects for improvement in applications of photo-'s to the next generation of surveys: - Gains in -- i.e., the precision of redshift estimates for individual galaxies -- could greatly enhance studies of galaxy evolution and some probes of cosmology. - Improvements in -- i.e., the accurate recovery of redshift of galaxies in the presence of uncertainty on individual redshifts -- are urgently needed for cosmological measurements with next-generation surveys. - To achieve both of these goals, improvements in the scope and treatment of the samples of spectroscopic redshifts which make high-fidelity photo-'s possible will also be needed. For the full potential of the next generation of surveys to be reached, the characterization of redshift distributions will need to improve by roughly an order of magnitude compared to the current state of the art, requiring progress on a wide variety of fronts. We conclude by presenting a speculative evaluation of how photometric redshift methods and the collection of the necessary spectroscopic samples may improve by the time near-future surveys are completed.
arXiv commentPosted with permission from the Annual Review of Astronomy and Astrophysics, Volume 60, copyright 2022 Annual Reviews, http://www.annualreviews.org/
References in corpus (119)
- Stellar population synthesis at the resolution of 2003
- LSST: from Science Drivers to Reference Design and Anticipated Data Products
- MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics
- CANDELS: The Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey
- EAZY: A Fast, Public Photometric Redshift Code
- Accurate photometric redshifts for the CFHT Legacy Survey calibrated using the VIMOS VLT Deep Survey
- Bayesian photometric redshift estimation
- Cosmological Parameters from Observations of Galaxy Clusters
- The propagation of uncertainties in stellar population synthesis modeling III: model calibration, comparison, and evaluation
- The COSMOS2015 Catalog: Exploring the 1<z<6 Universe with half a million galaxies
- The Hyper Suprime-Cam SSP Survey: Overview and Survey Design
- The Dark Energy Survey: more than dark energy - an overview
- KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing
- zCOSMOS: A Large VLT/VIMOS redshift survey covering 0 < z < 3 in the COSMOS field
- Measuring and Modelling the Redshift Evolution of Clustering: the Hubble Deep Field North
- Modeling the Panchromatic Spectral Energy Distributions of Galaxies
- Inferring the star-formation histories of massive quiescent galaxies with BAGPIPES: Evidence for multiple quenching mechanisms
- The DEEP2 Galaxy Redshift Survey: Design, Observations, Data Reduction, and Redshifts
- The 3D-HST Survey: Hubble Space Telescope WFC3/G141 grism spectra, redshifts, and emission line measurements for galaxies
- The Evolution of the Galaxy Rest-Frame Ultraviolet Luminosity Function Over the First Two Billion Years
- Extragalactic Science, Cosmology and Galactic Archaeology with the Subaru Prime Focus Spectrograph (PFS)
- Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data
- Improved Estimates of the Milky Way's Stellar Mass and Star Formation Rate from Hierarchical Bayesian Meta-Analysis
- ANNz: estimating photometric redshifts using artificial neural networks
- Strong Lensing by Galaxies
- The COMBO-17 Survey: Evolution of the Galaxy Luminosity Function from 25,000 Galaxies with 0.2<z<1.2
- Power Spectrum Tomography with Weak Lensing
- Modelling and interpreting spectral energy distributions of galaxies with BEAGLE
- The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35016 galaxies and AGN out to z~6.7 selected with 17.5<=i_{AB}<=24.7
- Weak lensing for precision cosmology
- Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data
- A Critical Assessment of Photometric Redshift Methods: A CANDELS Investigation
- The Clustering of Luminous Red Galaxies in the Sloan Digital Sky Survey Imaging Data
- KiDS+VIKING-450: Cosmic shear tomography with optical+infrared data
- The VIMOS Public Extragalactic Redshift Survey (VIPERS). An unprecedented view of galaxies and large-scale structure at 0.5<z<1.2
- Photometric Redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1
- The PRIsm MUlti-Object Survey (PRIMUS) I: Survey Overview and Characteristics
- The overdensities of galaxy environments as a function of luminosity and color
- Galaxy Masses
- Calibrating Redshift Distributions Beyond Spectroscopic Limits with Cross-Correlations
- Stellar masses from the CANDELS survey: the GOODS-South and UDS fields
- The Zurich Extragalactic Bayesian Redshift Analyzer (ZEBRA) and its first application: COSMOS
- TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests
- Fast Automated Analysis of Strong Gravitational Lenses with Convolutional Neural Networks
- The DEEP2 Galaxy Redshift Survey: The Relationship Between Galaxy Properties and Environment at z ~ 1
- The SAGA Survey: I. Satellite Galaxy Populations Around Eight Milky Way Analogs
- Mapping the Galaxy Color-Redshift Relation: Optimal Photometric Redshift Calibration Strategies for Cosmology Surveys
- Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies
- ANNz2 - photometric redshift and probability distribution function estimation using machine learning
- Spectral Classification of Galaxies: An Orthogonal Approach
- The Clustering of DESI-like Luminous Red Galaxies Using Photometric Redshifts
- Photometric redshifts from SDSS images using a Convolutional Neural Network
- Photometric redshifts for the SDSS Data Release 12
- The SAGA Survey. II. Building a Statistical Sample of Satellite Systems around Milky Way-like Galaxies
- Photometric redshift analysis in the Dark Energy Survey Science Verification data
- Dark Energy Survey Year 3 Results: Redshift Calibration of the Weak Lensing Source Galaxies
- KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear
- KiDS-1000 catalogue: Redshift distributions and their calibration
- Measuring Galaxy Environments with Deep Redshift Surveys
- Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing
- An algorithm for the direct reconstruction of the dark matter correlation function from weak lensing and galaxy clustering
- The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Analysis and Data Release 2
- DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting
- On using angular cross-correlations to determine source redshift distributions
- Catastrophic photometric redshift errors: weak lensing survey requirements
- Acoustic scale from the angular power spectra of SDSS-III DR8 photometric luminous galaxies
- Euclid preparation: X. The Euclid photometric-redshift challenge
- GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts
- The ALHAMBRA Survey: Bayesian Photometric Redshifts with 23 bands for 3 squared degrees
- Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
- Characterization and Photometric Performance of the Hyper Suprime-Cam Software Pipeline
- Spectroscopic Needs for Imaging Dark Energy Experiments: Photometric Redshift Training and Calibration
- Recovering Redshift Distributions with Cross-Correlations: Pushing The Boundaries
- Structural Evolution of Early-type Galaxies to z=2.5 in CANDELS
- SED fitting with Markov Chain Monte Carlo: Methodology and Application to z=3.1 Lyman Alpha Emitting Galaxies
- Tracing The Sound Horizon Scale With Photometric Redshift Surveys
- Reconstructing Redshift Distributions with Cross-Correlations: Tests and an Optimized Recipe
- A systematic search for very massive galaxies at z > 4
- A General Study of the Influence of Catastrophic Photometric Redshift Errors on Cosmology with Cosmic Shear Tomography
- Photometric Redshifts with the LSST: Evaluating Survey Observing Strategies
- KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps
- Precise photometric redshifts with a narrow-band filter set: The PAU Survey at the William Herschel Telescope
- Clustering-based Redshift Estimation: Comparison to Spectroscopic Redshifts
- Redshift inference from the combination of galaxy colors and clustering in a hierarchical Bayesian model
- Mitigating Shear-dependent Object Detection Biases with Metacalibration
- The PAU Survey: An improved photo- sample in the COSMOS field
- Testing KiDS cross-correlation redshifts with simulations
- Clustering of Photometric Luminous Red Galaxies II: Cosmological Implications from the Baryon Acoustic Scale
- Hierarchical Bayesian inference of galaxy redshift distributions from photometric surveys
- Selection biases in empirical p(z) methods for weak lensing
- Quantifying Photometric Redshift Errors in the Absence of Spectroscopic Redshifts
- Sample variance in photometric redshift calibration: cosmological biases and survey requirements
- The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys
- To use or not to use synthetic stellar spectra in population synthesis models?
- Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
- Redshift inference from the combination of galaxy colors and clustering in a hierarchical Bayesian model Application to realistic -body simulations
- Size of spectroscopic calibration samples for cosmic shear photometric redshifts
- A Unified Framework for Photometric Redshifts
- The MUSE Hubble Ultra Deep Field Survey: III. Testing photometric redshifts to 30th magnitude
- The redshift distribution of cosmological samples: a forward modeling approach
- Photo-z outlier self-calibration in weak lensing surveys
- On the Shapes and Structures of High-Redshift Compact Galaxies
- Photometric redshifts with machine learning, lights and shadows on a complex data science use case
- Approximating photo- PDFs for large surveys
- A new method to improve photometric redshift reconstruction. Applications to the Large Synoptic Survey Telescope
- Hierarchical modeling and statistical calibration for photometric redshifts
- Multi-Wavelength Study of a Complete IRAC 3.6micron-Selected Galaxy Sample: a Fair Census of Red and Blue Populations at Redshifts 0.4-1
- The Stripe 82 Massive Galaxy Project III: A Lack of Growth Among Massive Galaxies
- A Cepheid Distance to NGC 4603 in Centaurus
- On estimating redshift and luminosity distributions in photometric redshift surveys
- Searching for comets on the World Wide Web: The orbit of 17P/Holmes from the behavior of photographers
- Photometric Redshifts with Surface Brightness Priors
- Sparse Representation of Photometric Redshift PDFs: Preparing for Petascale Astronomy
- Deep ugrizY Imaging and DEEP2/3 Spectroscopy: A Photometric Redshift Testbed for LSST and Public Release of Data from the DEEP3 Galaxy Redshift Survey
- How not to obtain the redshift distribution from probabilistic redshift estimates: Under what conditions is it not inappropriate to estimate the redshift distribution N(z) by stacking photo-z PDFs?
- Spectro-Imaging Forward Model of Red and Blue Galaxies
- Photometric Supernovae Redshift Systematics Requirements
- Learning Spectral Templates for Photometric Redshift Estimation from Broadband Photometry
- SUBARU prime focus spectrograph: integration, testing and performance for the first spectrograph
Cited by in corpus (55)
- Euclid. I. Overview of the Euclid mission
- The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
- Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST
- The UNCOVER Survey: A First-look HST+JWST Catalog of Galaxy Redshifts and Stellar Population Properties Spanning
- Optimized Photometric Redshifts for the Cosmic Assembly Near-Infrared Deep Extragalactic Legacy Survey (CANDELS)
- Growth of Cosmic Structure
- Weak Lensing Tomographic Redshift Distribution Inference for the Hyper Suprime-Cam Subaru Strategic Program three-year shape catalogue
- Machine Learning for Observational Cosmology
- SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications
- Forward modeling of galaxy populations for cosmological redshift distribution inference
- Hierarchical Bayesian inference of photometric redshifts with stellar population synthesis models
- Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows
- pop-cosmos: A comprehensive picture of the galaxy population from COSMOS data
- Using angular two-point correlations to self-calibrate the photometric redshift distributions of DECaLS DR9
- KiDS-1000: cross-correlation with Planck cosmic microwave background lensing and intrinsic alignment removal with self-calibration
- Cosmological Probes of Structure Growth and Tests of Gravity
- PopSED: Population-Level Inference for Galaxy Properties from Broadband Photometry with Neural Density Estimation
- CircleZ: Reliable Photometric redshifts for AGN computed using only photometry from Legacy Survey Imaging for DESI
- Photometric Objects Around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. III. Accurate Measurement of Galaxy Stellar Mass Function with the Aid of Cosmological Redshift Surveys
- The Impact of Anisotropic Redshift Distributions on Angular Clustering
- Simulating image coaddition with the Nancy Grace Roman Space Telescope: I. Simulation methodology and general results
- Simulation-based inference of deep fields: galaxy population model and redshift distributions
- Impact of stellar population synthesis choices on forward modelling-based redshift distribution estimates
- pop-cosmos: Scaleable inference of galaxy properties and redshifts with a data-driven population model
- DESI Complete Calibration of the Color-Redshift Relation (DC3R2): Results from early DESI data
- PICZL: Image-based Photometric Redshifts for AGN
- PAC in DESI. I. Galaxy Stellar Mass Function into the Frontier
- Using LSST late-time photometry to constrain Type Ibc supernovae and their progenitors
- Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
- Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
- Test of Cosmic Web-feeding Model for Star Formation in Galaxy Clusters in the COSMOS Field
- Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI
- Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
- Augmenting photometric redshift estimates using spectroscopic nearest neighbours
- The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation
- CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation
- Informed total-error-minimizing priors: Interpretable cosmological parameter constraints despite complex nuisance effects
- pop-cosmos: Insights from generative modeling of a deep, infrared-selected galaxy population
- Optimizing Redshift Distribution Inference through Joint Self-Calibration and Clustering-Redshift Synergy
- Mapping Variations of Redshift Distributions with Probability Integral Transforms
- The Moving Lens Effect: Simulations, Forecasts and Foreground Mitigation
- 6x2pt: Forecasting gains from joint weak lensing and galaxy clustering analyses with spectroscopic-photometric galaxy cross-correlations
- Impact of redshift distribution uncertainties on Lyman-break galaxy cosmological parameter inference
- Reconstructing redshift distributions with photometric galaxy clustering
- Flexible Simulation Based Inference for Galaxy Photometric Fitting with Synthesizer
- Improving Photometric Redshifts by Merging Probability Density Functions from Template-Based and Machine Learning Algorithms
- Environmental Invariance of the Galaxy Size-Mass Relation
- Photometric Redshift Estimation Using Scaled Ensemble Learning
- GalSBI-SPS: a stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications
- TOPz: Photometric redshifts using template fitting applied to the GAMA survey
- Improving Optical Photo-z Constraints for Dusty Star-forming Galaxies Using Submillimeter-based Priors
- Euclid: Early Release Observations. Weak gravitational lensing analysis of Abell 2390
- Simulation-based inference with the integrated 3PCF
- The Redshifts from 122 Bands: Comparative Redshift Forecast for Low-Resolution Spectra from SPHEREx and 7-Dimensional Sky Survey (7DS)
- GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference