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Title: Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition

Abstract

Weak lensing source galaxy catalogues used in estimating the masses of galaxy clusters can be heavily contaminated by cluster members, prohibiting accurate mass calibration. In this study, we test the performance of an estimator for the extent of cluster member contamination based on decomposing the photometric redshift P(z) of source galaxies into contaminating and background components. We perform a full scale mock analysis on a simulated sky survey approximately mirroring the observational properties of the Dark Energy Survey Year One observations (DES Y1), and find excellent agreement between the true number profile of contaminating cluster member galaxies in the simulation and the estimated one. We further apply the method to estimate the cluster member contamination for the DES Y1 redMaPPer cluster mass calibration analysis, and compare the results to an alternative approach based on the angular correlation of weak lensing source galaxies. We find indications that the correlation based estimates are biased by the selection of the weak lensing sources in the cluster vicinity, which does not strongly impact the P(z) decomposition method. Collectively, these benchmarks demonstrate the strength of the P(z) decomposition method in alleviating membership contamination and enabling highly accurate cluster weak lensing studies without broad exclusion ofmore » source galaxies, thereby improving the total constraining power of cluster mass calibration via weak lensing.« less

Authors:
 [1];  [2]; ORCiD logo [2]; ORCiD logo [3];  [1];  [4];  [5];  [1];  [6];  [7];  [8];  [9];  [10];  [2];  [11];  [12];  [13];  [14];  [11];  [8] more »;  [15];  [16];  [17];  [18];  [19];  [20];  [21];  [22];  [11];  [23];  [14];  [24];  [11];  [25];  [26];  [27];  [25];  [24];  [16];  [20];  [11];  [28];  [29];  [6];  [30];  [29];  [31];  [11];  [32];  [20];  [19];  [33];  [34];  [16];  [24];  [35];  [20];  [36];  [21];  [11];  [37];  [25];  [21];  [38];  [39];  [40];  [41];  [37];  [12];  [11];  [11] « less
  1. Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany, Fakultät für Physik, Universitäts-Sternwarte, Ludwig−Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
  2. Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA, Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
  3. Brookhaven National Laboratory, Bldg 510, Upton, NY 11973, USA
  4. Department of Physics, University of Arizona, Tucson, AZ 85721, USA
  5. Fakultät für Physik, Universitäts-Sternwarte, Ludwig−Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
  6. Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA, Department of Physics, The Ohio State University, Columbus, OH 43210, USA
  7. Department of Astrophysical Sciences, Princeton University, 4 Ivy Lane, Princeton, NJ 08544, USA
  8. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
  9. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA
  10. Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794, USA
  11. Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
  12. Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
  13. CNRS, UMR 7095, Institut d’Astrophysique de Paris, F-75014, Paris, France, Institut d’Astrophysique de Paris, Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, F-75014, Paris, France
  14. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
  15. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain, Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ - 20921-400, Brazil
  16. Department of Astronomy, University of Illinois at Urbana-Champaign, 1002 W. Green Street, Urbana, IL 61801, USA, National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  17. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona) Spain
  18. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
  19. Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
  20. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ - 20921-400, Brazil, Observatório Nacional, Rua Gal. José Cristino 77, Rio de Janeiro, RJ - 20921-400, Brazil
  21. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain
  22. Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
  23. Excellence Cluster Universe, Boltzmannstr. 2, D-85748 Garching, Germany, Faculty of Physics, Ludwig-Maximilians-Universität, Scheinerstr. 1, D-81679 Munich, Germany
  24. Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA, Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  25. Institut d’Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain, Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
  26. Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
  27. Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
  28. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK, Department of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 16, CH-8093 Zurich, Switzerland
  29. Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
  30. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
  31. Australian Astronomical Optics, Macquarie University, North Ryde, NSW 2113, Australia
  32. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ - 20921-400, Brazil, Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, São Paulo, SP 05314-970, Brazil
  33. George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, and Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
  34. Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
  35. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona) Spain, Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain
  36. Department of Physics and Astronomy, Pevensey Building, University of Sussex, Brighton BN1 9QH, UK
  37. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  38. School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
  39. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ - 20921-400, Brazil, Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, SP 13083-859 Campinas, Brazil
  40. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
  41. National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); National Aeronautic and Space Administration (NASA); National Science Foundation (NSF); USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Org.:
DES Collaboration
OSTI Identifier:
1560741
Alternate Identifier(s):
OSTI ID: 1490843; OSTI ID: 1606731
Report Number(s):
arXiv:1812.05116; FERMILAB-PUB-18-681-AE; DES-2018-0341
Journal ID: ISSN 0035-8711
Grant/Contract Number:  
AC02-76SF00515; SC0015975; SC0018053; AC02-05CH11231; AC02-07CH11359; AC05-00OR22725; AST-1138766; AST-1536171
Resource Type:
Journal Article: 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: 489 Journal Issue: 2; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United Kingdom
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; gravitational lensing: weak; galaxies: clusters: general; cosmology: observations

Citation Formats

Varga, T. N., DeRose, J., Gruen, D., McClintock, T., Seitz, S., Rozo, E., Costanzi, M., Hoyle, B., MacCrann, N., Plazas, A. A., Rykoff, E. S., Simet, M., von der Linden, A., Wechsler, R. H., Annis, J., Avila, S., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miller, C. J., Miquel, R., Ogando, R. L. C., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Zhang, Y., and DES Collaboration). Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition. United Kingdom: N. p., 2019. Web. doi:10.1093/mnras/stz2185.
Varga, T. N., DeRose, J., Gruen, D., McClintock, T., Seitz, S., Rozo, E., Costanzi, M., Hoyle, B., MacCrann, N., Plazas, A. A., Rykoff, E. S., Simet, M., von der Linden, A., Wechsler, R. H., Annis, J., Avila, S., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miller, C. J., Miquel, R., Ogando, R. L. C., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Zhang, Y., & DES Collaboration). Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition. United Kingdom. doi:10.1093/mnras/stz2185.
Varga, T. N., DeRose, J., Gruen, D., McClintock, T., Seitz, S., Rozo, E., Costanzi, M., Hoyle, B., MacCrann, N., Plazas, A. A., Rykoff, E. S., Simet, M., von der Linden, A., Wechsler, R. H., Annis, J., Avila, S., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miller, C. J., Miquel, R., Ogando, R. L. C., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Zhang, Y., and DES Collaboration). Thu . "Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition". United Kingdom. doi:10.1093/mnras/stz2185.
@article{osti_1560741,
title = {Dark Energy Survey Year 1 results: validation of weak lensing cluster member contamination estimates from P(z) decomposition},
author = {Varga, T. N. and DeRose, J. and Gruen, D. and McClintock, T. and Seitz, S. and Rozo, E. and Costanzi, M. and Hoyle, B. and MacCrann, N. and Plazas, A. A. and Rykoff, E. S. and Simet, M. and von der Linden, A. and Wechsler, R. H. and Annis, J. and Avila, S. and Bertin, E. and Brooks, D. and Buckley-Geer, E. and Burke, D. L. 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 De Vicente, J. and Desai, S. and Diehl, H. T. and Dietrich, J. P. and Doel, P. and Evrard, A. E. and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D. W. and Gruendl, R. A. and Gschwend, J. and Gutierrez, G. and Hartley, W. G. and Hollowood, D. L. and Honscheid, K. and James, D. J. and Jeltema, T. and Kuehn, K. and Kuropatkin, N. and Lima, M. and Maia, M. A. G. and March, M. and Marshall, J. L. and Melchior, P. and Menanteau, F. and Miller, C. J. and Miquel, R. and Ogando, R. L. C. and Romer, A. K. and Sanchez, E. and Scarpine, V. and Schubnell, M. and Serrano, S. and Sevilla-Noarbe, I. and Smith, M. and Sobreira, F. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Thomas, D. and Tucker, D. L. and Zhang, Y. and DES Collaboration)},
abstractNote = {Weak lensing source galaxy catalogues used in estimating the masses of galaxy clusters can be heavily contaminated by cluster members, prohibiting accurate mass calibration. In this study, we test the performance of an estimator for the extent of cluster member contamination based on decomposing the photometric redshift P(z) of source galaxies into contaminating and background components. We perform a full scale mock analysis on a simulated sky survey approximately mirroring the observational properties of the Dark Energy Survey Year One observations (DES Y1), and find excellent agreement between the true number profile of contaminating cluster member galaxies in the simulation and the estimated one. We further apply the method to estimate the cluster member contamination for the DES Y1 redMaPPer cluster mass calibration analysis, and compare the results to an alternative approach based on the angular correlation of weak lensing source galaxies. We find indications that the correlation based estimates are biased by the selection of the weak lensing sources in the cluster vicinity, which does not strongly impact the P(z) decomposition method. Collectively, these benchmarks demonstrate the strength of the P(z) decomposition method in alleviating membership contamination and enabling highly accurate cluster weak lensing studies without broad exclusion of source galaxies, thereby improving the total constraining power of cluster mass calibration via weak lensing.},
doi = {10.1093/mnras/stz2185},
journal = {Monthly Notices of the Royal Astronomical Society},
issn = {0035-8711},
number = 2,
volume = 489,
place = {United Kingdom},
year = {2019},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1093/mnras/stz2185

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Figures / Tables:

Figure 1 Figure 1: $(Left$ $panels$:) P(z) decomposition at three different radial ranges for the cluster sample with richness λ ∈ [30; 45) and redshift z ∈ [0.2; 0.35) in DES Y1 data. Black lines: average weighted P(z | R) of source galaxies. Red lines: P(z) of the Gaussian contamination component scaledmore » by the estimated cluster member contamination rate fcl. $Magenta$ $lines$: average P(z | field) scaled by 1 – fcl. $Blue$ $dashed$: model P(z) calculated from the sum of the magenta and red lines. The vertical dashed lines indicate the redshift range of galaxy clusters in the cluster selection. ($Right$ $panel$:) the cluster member contamination rate fcl profile calculated from the decomposition presented on the left panels: the red shaded range corresponds to the amplitudes of the Gaussian components at each radial range. The width of the shaded area indicates the 1σ uncertainty region.« less

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Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data
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Dark Energy Survey Year 1 results: the effect of intracluster light on photometric redshifts for weak gravitational lensing
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The Redmapper Galaxy Cluster Catalog from des Science Verification data
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Transients from initial conditions in cosmological simulations
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Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters
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The Deep3 Galaxy Redshift Survey: Keck/Deimos Spectroscopy in the Goods-N Field
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Sunyaev–Zel’dovich effect and X-ray scaling relations from weak lensing mass calibration of 32 South Pole Telescope selected galaxy clusters
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Cosmological Parameters from Observations of Galaxy Clusters
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Weak gravitational lensing
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Intrinsic Alignment of Cluster Galaxies: the Redshift Evolution
journal, September 2011


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Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing
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Selection biases in empirical p(z) methods for weak lensing
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    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.