Validation of semi-analytical, semi-empirical covariance matrices for two-point correlation function for Early DESI data
arXiv:2306.06320 · doi:10.1093/mnras/stad2078
Abstract
We present an extended validation of semi-analytical, semi-empirical covariance matrices for the two-point correlation function (2PCF) on simulated catalogs representative of Luminous Red Galaxies (LRG) data collected during the initial two months of operations of the Stage-IV ground-based Dark Energy Spectroscopic Instrument (DESI). We run the pipeline on multiple effective Zel'dovich (EZ) mock galaxy catalogs with the corresponding cuts applied and compare the results with the mock sample covariance to assess the accuracy and its fluctuations. We propose an extension of the previously developed formalism for catalogs processed with standard reconstruction algorithms. We consider methods for comparing covariance matrices in detail, highlighting their interpretation and statistical properties caused by sample variance, in particular, nontrivial expectation values of certain metrics even when the external covariance estimate is perfect. With improved mocks and validation techniques, we confirm a good agreement between our predictions and sample covariance. This allows one to generate covariance matrices for comparable datasets without the need to create numerous mock galaxy catalogs with matching clustering, only requiring 2PCF measurements from the data itself. The code used in this paper is publicly available at https://github.com/oliverphilcox/RascalC.
arXiv comment19 pages, 1 figure. Published in MNRAS. Code available at https://github.com/oliverphilcox/RascalC, table and figure data available at https://dx.doi.org/10.5281/zenodo.7750637
References in corpus (23)
- Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies
- The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological Implications from two Decades of Spectroscopic Surveys at the Apache Point observatory
- Observational Probes of Cosmic Acceleration
- Power Spectrum Analysis of Three-Dimensional Redshift Surveys
- Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix
- Improving Cosmological Distance Measurements by Reconstruction of the Baryon Acoustic Peak
- Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument
- The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: First measurement of Baryon Acoustic Oscillations between redshift 0.8 and 2.2
- The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Observational systematics and baryon acoustic oscillations in the correlation function
- The Three-Point Correlation Function in Cosmology
- EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics
- The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release
- Galaxy Power Spectrum Multipoles Covariance in Perturbation Theory
- The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: theoretical systematics and Baryon Acoustic Oscillations in the galaxy correlation function
- Reconstruction in Fourier space
- Preliminary Target Selection for the DESI Luminous Red Galaxy (LRG) Sample
- Large Covariance Matrices: Smooth Models from the 2-Point Correlation Function
- RascalC: A Jackknife Approach to Estimating Single and Multi-Tracer Galaxy Covariance Matrices
- Creating Jackknife and Bootstrap estimates of the covariance matrix for the two-point correlation function
- Estimating the galaxy two-point correlation function using a split random catalog
- A New Statistic for Analyzing Baryon Acoustic Oscillations
- Estimating Covariance Matrices for Two- and Three-Point Correlation Function Moments in Arbitrary Survey Geometries
- Large Covariance Matrices: Accurate Models Without Mocks
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- Optimal Reconstruction of Baryon Acoustic Oscillations for DESI 2024
- Analytical and EZmock covariance validation for the DESI 2024 results
- Fiducial-Cosmology-dependent systematics for the DESI 2024 BAO Analysis
- HOD-Dependent Systematics in Emission Line Galaxies for the DESI 2024 BAO analysis
- Generating mock galaxy catalogues for flux-limited samples like the DESI Bright Galaxy Survey
- ELG Spectroscopic Systematics Analysis of the DESI Data Release 1
- HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis
- Modelling the covariance matrix for the power spectra before and after the BAO reconstruction