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Title: Large covariance matrices: accurate models without mocks

Authors:
 [1];  [2]
  1. McWilliams Center for Cosmology, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA
  2. Harvard-Smithsonian Center for Astrophysics, 60 Garden St., Cambridge, MA 02138, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1526095
Grant/Contract Number:  
SC0013718
Resource Type:
Published Article
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 487 Journal Issue: 2; Journal ID: ISSN 0035-8711
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English

Citation Formats

O’Connell, Ross, and Eisenstein, Daniel J. Large covariance matrices: accurate models without mocks. United Kingdom: N. p., 2019. Web. doi:10.1093/mnras/stz1359.
O’Connell, Ross, & Eisenstein, Daniel J. Large covariance matrices: accurate models without mocks. United Kingdom. doi:10.1093/mnras/stz1359.
O’Connell, Ross, and Eisenstein, Daniel J. Tue . "Large covariance matrices: accurate models without mocks". United Kingdom. doi:10.1093/mnras/stz1359.
@article{osti_1526095,
title = {Large covariance matrices: accurate models without mocks},
author = {O’Connell, Ross and Eisenstein, Daniel J.},
abstractNote = {},
doi = {10.1093/mnras/stz1359},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 2,
volume = 487,
place = {United Kingdom},
year = {2019},
month = {5}
}

Journal Article:
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Works referenced in this record:

The Baryon Oscillation Spectroscopic Survey of Sdss-Iii
journal, December 2012

  • Dawson, Kyle S.; Schlegel, David J.; Ahn, Christopher P.
  • The Astronomical Journal, Vol. 145, Issue 1
  • DOI: 10.1088/0004-6256/145/1/10

A Valid and Fast Spatial Bootstrap for Correlation Functions
journal, July 2008

  • Loh, Ji Meng
  • The Astrophysical Journal, Vol. 681, Issue 1
  • DOI: 10.1086/588631

Notes on bias in Estimation
journal, January 1956


Performance of internal covariance estimators for cosmic shear correlation functions
journal, December 2015

  • Friedrich, O.; Seitz, S.; Eifler, T. F.
  • Monthly Notices of the Royal Astronomical Society, Vol. 456, Issue 3
  • DOI: 10.1093/mnras/stv2833

The clustering of theSDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: measuring the anisotropic baryon acoustic oscillations with redshift weights
journal, July 2018

  • Zhu, Fangzhou; Padmanabhan, Nikhil; Ross, Ashley J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 480, Issue 1
  • DOI: 10.1093/mnras/sty1955

Mock galaxy catalogues using the quick particle mesh method
journal, November 2013

  • White, Martin; Tinker, Jeremy L.; McBride, Cameron K.
  • Monthly Notices of the Royal Astronomical Society, Vol. 437, Issue 3
  • DOI: 10.1093/mnras/stt2071

nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
journal, July 2015

  • Chuang, Chia-Hsun; Zhao, Cheng; Prada, Francisco
  • Monthly Notices of the Royal Astronomical Society, Vol. 452, Issue 1
  • DOI: 10.1093/mnras/stv1289

Galaxy two-point covariance matrix estimation for next generation surveys
journal, September 2017

  • Howlett, Cullan; Percival, Will J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 472, Issue 4
  • DOI: 10.1093/mnras/stx2342

Dark matter statistics for large galaxy catalogues: power spectra and covariance matrices
journal, June 2018

  • Klypin, Anatoly; Prada, Francisco
  • Monthly Notices of the Royal Astronomical Society, Vol. 478, Issue 4
  • DOI: 10.1093/mnras/sty1340

Comparing approximate methods for mock catalogues and covariance matrices – I. Correlation function
journal, October 2018

  • Lippich, Martha; Sánchez, Ariel G.; Colavincenzo, Manuel
  • Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 2
  • DOI: 10.1093/mnras/sty2757

HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere
journal, April 2005

  • Gorski, K. M.; Hivon, E.; Banday, A. J.
  • The Astrophysical Journal, Vol. 622, Issue 2
  • DOI: 10.1086/427976

The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: theoretical systematics and Baryon Acoustic Oscillations in the galaxy correlation function
journal, March 2018

  • Vargas-Magaña, Mariana; Ho, Shirley; Cuesta, Antonio J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 477, Issue 1
  • DOI: 10.1093/mnras/sty571

The effect of covariance estimator error on cosmological parameter constraints
journal, September 2013


Accurate cosmic shear errors: do we need ensembles of simulations?
journal, October 2018

  • Barreira, Alexandre; Krause, Elisabeth; Schmidt, Fabian
  • Journal of Cosmology and Astroparticle Physics, Vol. 2018, Issue 10
  • DOI: 10.1088/1475-7516/2018/10/053

Power spectrum super-sample covariance
journal, June 2013


The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Cosmological implications of the configuration-space clustering wedges
journal, September 2016

  • Sánchez, Ariel G.; Scoccimarro, Román; Crocce, Martín
  • Monthly Notices of the Royal Astronomical Society, Vol. 464, Issue 2
  • DOI: 10.1093/mnras/stw2443

Statistical analysis of galaxy surveys - I. Robust error estimation for two-point clustering statistics
journal, June 2009


The clustering of Galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: including covariance matrix errors
journal, February 2014

  • Percival, Will J.; Ross, Ashley J.; Sánchez, Ariel G.
  • Monthly Notices of the Royal Astronomical Society, Vol. 439, Issue 3
  • DOI: 10.1093/mnras/stu112

The variance of correlation function estimates
journal, March 1994

  • Bernstein, Gary M.
  • The Astrophysical Journal, Vol. 424
  • DOI: 10.1086/173915

Why your model parameter confidences might be too optimistic. Unbiased estimation of the inverse covariance matrix
journal, December 2006


Large covariance matrices: smooth models from the two-point correlation function
journal, July 2016

  • O'Connell, Ross; Eisenstein, Daniel; Vargas, Mariana
  • Monthly Notices of the Royal Astronomical Society, Vol. 462, Issue 3
  • DOI: 10.1093/mnras/stw1821

Non-linear shrinkage estimation of large-scale structure covariance
journal, November 2016

  • Joachimi, Benjamin
  • Monthly Notices of the Royal Astronomical Society: Letters, Vol. 466, Issue 1
  • DOI: 10.1093/mnrasl/slw240

Estimating sparse precision matrices
journal, May 2016

  • Padmanabhan, Nikhil; White, Martin; Zhou, Harrison H.
  • Monthly Notices of the Royal Astronomical Society, Vol. 460, Issue 2
  • DOI: 10.1093/mnras/stw1042

The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: observational systematics and baryon acoustic oscillations in the correlation function
journal, September 2016

  • Ross, Ashley J.; Beutler, Florian; Chuang, Chia-Hsun
  • Monthly Notices of the Royal Astronomical Society, Vol. 464, Issue 1
  • DOI: 10.1093/mnras/stw2372

Gaussian covariance matrices for anisotropic galaxy clustering measurements
journal, February 2016

  • Grieb, Jan Niklas; Sánchez, Ariel G.; Salazar-Albornoz, Salvador
  • Monthly Notices of the Royal Astronomical Society, Vol. 457, Issue 2
  • DOI: 10.1093/mnras/stw065

Estimating the power spectrum covariance matrix with fewer mock samples
journal, January 2016

  • Pearson, David W.; Samushia, Lado
  • Monthly Notices of the Royal Astronomical Society, Vol. 457, Issue 1
  • DOI: 10.1093/mnras/stw062

Putting the precision in precision cosmology: How accurate should your data covariance matrix be?
journal, May 2013

  • Taylor, A.; Joachimi, B.; Kitching, T.
  • Monthly Notices of the Royal Astronomical Society, Vol. 432, Issue 3
  • DOI: 10.1093/mnras/stt270