Testing the accuracy of clustering redshift with simulations

Abstract

We explore the accuracy of the clustering-based redshift inference within the MICE2 simulation. This method uses the spatial clustering of galaxies between a spectroscopic reference sample and an unknown sample. The goal of this study is to give a preview of the redshift accuracy one can reach with this method. To do so, we first highlight the requirements of this technique in term of number of objects in both the reference and unknown samples. We also confirm that this method does not require a representative spectroscopic sample for calibration. We estimate that a density of spectroscopic objects of $10^{-5}$ arcmin${}^{-2}$ per redshift bin of width $\delta z=0.01$ over $9000{\text{deg}}^2$ allows to reach 0.1 \% accuracy in the mean redshift for a galaxy density compatible with next generation of cosmological surveys. This number is compatible with the density of the Quasi Stellar Objects in BOSS. Second we demonstrate our ability to measure individual redshifts for galaxies independently from the photometric redshifts procedure. The resulting individual clustering redshifts have a bias=$-0.001$, an outlier fraction of $\eta =3.57\%$ and a scatter of $\sigma =0.027$ to $i<25$. The advantage of this procedure is threefold: i) it allows the use of clustering redshifts for any field in astronomy, ii) it allows the possibility to combine photometric and clustering based redshifts to get an improved redshift estimation, iii) it allows the use of cluster-$z$ to define tomographic bins for weak lensing. Finally we explore this last option and build 5 clustering redshift selected tomographic bins from redshift 0.2 to 1. We found a bias on the mean redshift estimate of $0.002$ per bin.

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• Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts - Methods and Systematics Characterization
• unWISE tomography of Planck CMB lensing
• Testing KiDS cross-correlation redshifts with simulations
• Imaging Systematics and Clustering of DESI Main Targets
• Cross-Correlation of Planck CMB Lensing with DESI-Like LRGs
• Cross-Correlation Redshift Calibration Without Spectroscopic Calibration Samples in DES Science Verification Data
• Producing a BOSS-CMASS sample with DES imaging
• Mass Functions, Luminosity Functions, and Completeness Measurements from Clustering Redshifts
• Dark Energy Survey Year 3 Results: Redshift Calibration of the MagLim Lens Sample from the combination of SOMPZ and clustering and its impact on Cosmology
• Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations
• Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample
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• Euclid: Photometric redshift calibration with the clustering redshifts technique
• CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation
• Forecasts for Broadband Intensity Mapping of the Ultraviolet-Optical Background with CASTOR and SPHEREx
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• Galaxy Correlation Function and Local Density from Photometric Redshifts Using the Stochastic Order Redshift Technique (SORT)