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Title: Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Abstract

Here, we derive cosmological constraints from the probability distribution function (PDF) of evolved large-scale matter density fluctuations. We do this by splitting lines of sight by density based on their count of tracer galaxies, and by measuring both gravitational shear around and counts-in-cells in overdense and underdense lines of sight, in Dark Energy Survey (DES) First Year and Sloan Digital Sky Survey (SDSS) data. Our analysis uses a perturbation theory model and is validated using N-body simulation realizations and log-normal mocks. It allows us to constrain cosmology, bias and stochasticity of galaxies with respect to matter density and, in addition, the skewness of the matter density field. From a Bayesian model comparison, we find that the data weakly prefer a connection of galaxies and matter that is stochastic beyond Poisson fluctuations on ≤ 20 arcmin angular smoothing scale. The two stochasticity models we fit yield DES constraints on the matter density Ω m = 0.26 +0.04 –0.03 and Ω m = 0.28 +0.05 –0.04 that are consistent with each other. These values also agree with the DES analysis of galaxy and shear two-point functions (3x2pt, DES Collaboration et al.) that only uses second moments of the PDF. Constraints on σ8more » are model dependent (σ 8 = 0.97 +0.07 –0.06 and 0.80 +0.06 –0.07 for the two stochasticity models), but consistent with each other and with the 3 x 2pt results if stochasticity is at the low end of the posterior range. As an additional test of gravity, counts and lensing in cells allow to compare the skewness S 3 of the matter density PDF to its ΛCDM prediction. We find no evidence of excess skewness in any model or data set, with better than 25 per cent relative precision in the skewness estimate from DES alone.« less

Authors:
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Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States); Brookhaven National Lab. (BNL), Upton, NY (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Org.:
[DES Collaboration]
OSTI Identifier:
1463351
Alternate Identifier(s):
OSTI ID: 1460150; OSTI ID: 1466977; OSTI ID: 1468416
Report Number(s):
[BNL-208009-2018-JAAM; arXiv:1710.05045; FERMILAB-PUB-17-444-AE]
[Journal ID: ISSN 2470-0010; PRVDAQ; TRN: US1902288]
Grant/Contract Number:  
[AC02-76SF00515; PF5-160138; NAS8-03060; AST-1138766; AST-1536171; AYA2015-71825; ESP2015-88861; FPA2015-68048; SEV-2012-0234; SEV-2016-0597; MDM-2015-0509; FP7/2007-2013; 240672; 291329; 306478; CE110001020; AC02-07CH11359; SC0012704]
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
[ Journal Volume: 98; Journal Issue: 2]; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Gruen, D., Friedrich, O., Krause, E., DeRose, J., Cawthon, R., Davis, C., Elvin-Poole, J., Rykoff, E. S., Wechsler, R. H., Alarcon, A., Bernstein, G. M., Blazek, J., Chang, C., Clampitt, J., Crocce, M., De Vicente, J., Gatti, M., Gill, M. S. S., Hartley, W. G., Hilbert, S., Hoyle, B., Jain, B., Jarvis, M., Lahav, O., MacCrann, N., McClintock, T., Prat, J., Rollins, R. P., Ross, A. J., Rozo, E., Samuroff, S., Sánchez, C., Sheldon, E., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Bridle, S. L., Brooks, D., Buckley-Geer, E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Fernandez, E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Plazas, A. A., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., Weller, J., and Zhang, Y. Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data. United States: N. p., 2018. Web. doi:10.1103/physrevd.98.023507.
Gruen, D., Friedrich, O., Krause, E., DeRose, J., Cawthon, R., Davis, C., Elvin-Poole, J., Rykoff, E. S., Wechsler, R. H., Alarcon, A., Bernstein, G. M., Blazek, J., Chang, C., Clampitt, J., Crocce, M., De Vicente, J., Gatti, M., Gill, M. S. S., Hartley, W. G., Hilbert, S., Hoyle, B., Jain, B., Jarvis, M., Lahav, O., MacCrann, N., McClintock, T., Prat, J., Rollins, R. P., Ross, A. J., Rozo, E., Samuroff, S., Sánchez, C., Sheldon, E., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Bridle, S. L., Brooks, D., Buckley-Geer, E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Fernandez, E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Plazas, A. A., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., Weller, J., & Zhang, Y. Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data. United States. doi:10.1103/physrevd.98.023507.
Gruen, D., Friedrich, O., Krause, E., DeRose, J., Cawthon, R., Davis, C., Elvin-Poole, J., Rykoff, E. S., Wechsler, R. H., Alarcon, A., Bernstein, G. M., Blazek, J., Chang, C., Clampitt, J., Crocce, M., De Vicente, J., Gatti, M., Gill, M. S. S., Hartley, W. G., Hilbert, S., Hoyle, B., Jain, B., Jarvis, M., Lahav, O., MacCrann, N., McClintock, T., Prat, J., Rollins, R. P., Ross, A. J., Rozo, E., Samuroff, S., Sánchez, C., Sheldon, E., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Bridle, S. L., Brooks, D., Buckley-Geer, E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Fernandez, E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Plazas, A. A., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., Weller, J., and Zhang, Y. Fri . "Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data". United States. doi:10.1103/physrevd.98.023507. https://www.osti.gov/servlets/purl/1463351.
@article{osti_1463351,
title = {Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data},
author = {Gruen, D. and Friedrich, O. and Krause, E. and DeRose, J. and Cawthon, R. and Davis, C. and Elvin-Poole, J. and Rykoff, E. S. and Wechsler, R. H. and Alarcon, A. and Bernstein, G. M. and Blazek, J. and Chang, C. and Clampitt, J. and Crocce, M. and De Vicente, J. and Gatti, M. and Gill, M. S. S. and Hartley, W. G. and Hilbert, S. and Hoyle, B. and Jain, B. and Jarvis, M. and Lahav, O. and MacCrann, N. and McClintock, T. and Prat, J. and Rollins, R. P. and Ross, A. J. and Rozo, E. and Samuroff, S. and Sánchez, C. and Sheldon, E. and Troxel, M. A. and Zuntz, J. and Abbott, T. M. C. and Abdalla, F. B. and Allam, S. and Annis, J. and Bechtol, K. and Benoit-Lévy, A. and Bertin, E. and Bridle, S. L. and Brooks, D. and Buckley-Geer, E. and Carnero Rosell, A. and Carrasco Kind, M. and Carretero, J. and Cunha, C. E. and D’Andrea, C. B. and da Costa, L. N. and Desai, S. and Diehl, H. T. and Dietrich, J. P. and Doel, P. and Drlica-Wagner, A. and Fernandez, E. and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Giannantonio, T. and Gruendl, R. A. and Gschwend, J. and Gutierrez, G. and Honscheid, K. and James, D. J. and Jeltema, T. and Kuehn, K. and Kuropatkin, N. and Lima, M. and March, M. and Marshall, J. L. and Martini, P. and Melchior, P. and Menanteau, F. and Miquel, R. and Mohr, J. J. and Plazas, A. A. and Roodman, A. and Sanchez, E. and Scarpine, V. and Schubnell, M. and Sevilla-Noarbe, I. and Smith, M. and Smith, R. C. and Soares-Santos, M. and Sobreira, F. and Swanson, M. E. C. and Tarle, G. and Thomas, D. and Vikram, V. and Walker, A. R. and Weller, J. and Zhang, Y.},
abstractNote = {Here, we derive cosmological constraints from the probability distribution function (PDF) of evolved large-scale matter density fluctuations. We do this by splitting lines of sight by density based on their count of tracer galaxies, and by measuring both gravitational shear around and counts-in-cells in overdense and underdense lines of sight, in Dark Energy Survey (DES) First Year and Sloan Digital Sky Survey (SDSS) data. Our analysis uses a perturbation theory model and is validated using N-body simulation realizations and log-normal mocks. It allows us to constrain cosmology, bias and stochasticity of galaxies with respect to matter density and, in addition, the skewness of the matter density field. From a Bayesian model comparison, we find that the data weakly prefer a connection of galaxies and matter that is stochastic beyond Poisson fluctuations on ≤ 20 arcmin angular smoothing scale. The two stochasticity models we fit yield DES constraints on the matter density Ωm = 0.26+0.04–0.03 and Ωm = 0.28+0.05–0.04 that are consistent with each other. These values also agree with the DES analysis of galaxy and shear two-point functions (3x2pt, DES Collaboration et al.) that only uses second moments of the PDF. Constraints on σ8 are model dependent (σ8 = 0.97+0.07–0.06 and 0.80+0.06–0.07 for the two stochasticity models), but consistent with each other and with the 3 x 2pt results if stochasticity is at the low end of the posterior range. As an additional test of gravity, counts and lensing in cells allow to compare the skewness S3 of the matter density PDF to its ΛCDM prediction. We find no evidence of excess skewness in any model or data set, with better than 25 per cent relative precision in the skewness estimate from DES alone.},
doi = {10.1103/physrevd.98.023507},
journal = {Physical Review D},
number = [2],
volume = [98],
place = {United States},
year = {2018},
month = {7}
}

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SDSS galaxy clustering: luminosity and colour dependence and stochasticity
journal, April 2008

  • Swanson, Molly E. C.; Tegmark, Max; Blanton, Michael
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Weak lensing by galaxy troughs with modified gravity
journal, February 2017

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


KiDS+GAMA: cosmology constraints from a joint analysis of cosmic shear, galaxy–galaxy lensing, and angular clustering
journal, March 2018

  • van Uitert, Edo; Joachimi, Benjamin; Joudaki, Shahab
  • Monthly Notices of the Royal Astronomical Society, Vol. 476, Issue 4
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The Deep3 Galaxy Redshift Survey: Keck/Deimos Spectroscopy in the Goods-N Field
journal, March 2011

  • Cooper, Michael C.; Aird, James A.; Coil, Alison L.
  • The Astrophysical Journal Supplement Series, Vol. 193, Issue 1
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Cosmic shear as a probe of galaxy formation physics
journal, September 2016

  • Foreman, Simon; Becker, Matthew R.; Wechsler, Risa H.
  • Monthly Notices of the Royal Astronomical Society, Vol. 463, Issue 3
  • DOI: 10.1093/mnras/stw2189

The Galaxy-Mass Correlation Function Measured from Weak Lensing in the Sloan Digital Sky Survey
journal, May 2004

  • Sheldon, Erin S.; Johnston, David E.; Frieman, Joshua A.
  • The Astronomical Journal, Vol. 127, Issue 5
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ChainConsumer
journal, August 2016


Dynamics of gravitational clustering: II. Steepest-descent method for the quasi-linear regime
journal, February 2002


Weak lensing by galaxy troughs in DES Science Verification data
journal, November 2015

  • Gruen, D.; Friedrich, O.; Amara, A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 455, Issue 3
  • DOI: 10.1093/mnras/stv2506

CFHTLenS: higher order galaxy–mass correlations probed by galaxy–galaxy–galaxy lensing
journal, February 2013

  • Simon, P.; Erben, T.; Schneider, P.
  • Monthly Notices of the Royal Astronomical Society, Vol. 430, Issue 3
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The imprint of f ( R ) gravity on weak gravitational lensing – I. Connection between observables and large-scale structure
journal, April 2016

  • Higuchi, Yuichi; Shirasaki, Masato
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On the insufficiency of arbitrarily precise covariance matrices: non-Gaussian weak-lensing likelihoods
journal, September 2017

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KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing
journal, November 2016

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  • Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 2
  • DOI: 10.1093/mnras/stw2805

Inference from the small scales of cosmic shear with current and future Dark Energy Survey data
journal, November 2016

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  • Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 3
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Exploring the non-linear density field in the Millennium Simulations with tessellations – I. The probability distribution function
journal, September 2013

  • Pandey, Biswajit; White, Simon D. M.; Springel, Volker
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Stochastic Nonlinear Galaxy Biasing
journal, July 1999

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Normalization of the Matter Power Spectrum via Higher Order Angular Correlations of Luminous Red Galaxies
journal, August 2008

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Systematic errors in weak lensing: application to SDSS galaxy-galaxy weak lensing
journal, August 2005


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


Modeling Luminosity‐dependent Galaxy Clustering through Cosmic Time
journal, August 2006

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Halo stochasticity in global clustering analysis
journal, July 2009


Encircling the dark: constraining dark energy via cosmic density in spheres
journal, May 2016

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redMaGiC: selecting luminous red galaxies from the DES Science Verification data
journal, May 2016

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    Works referencing / citing this record:

    On the dissection of degenerate cosmologies with machine learning
    journal, April 2019

    • Merten, Julian; Giocoli, Carlo; Baldi, Marco
    • Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 1
    • DOI: 10.1093/mnras/stz972