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    Validation of selection function, sample contamination and mass calibration in galaxy cluster samples

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    Author
    Grandis, S
    Klein, M
    Mohr, J J
    Bocquet, S
    Paulus, M
    Abbott, T M C
    Aguena, M
    Allam, S
    Annis, J
    Benson, B A
    Bertin, E
    Bhargava, S
    Brooks, D
    Burke, D L
    Carnero Rosell, A
    Carrasco Kind, M
    Carretero, J
    Capasso, R
    Costanzi, M
    da Costa, L N
    De Vicente, J
    Desai, S
    Dietrich, J P
    Doel, P
    Eifler, T F
    Evrard, A E
    Flaugher, B
    Fosalba, P
    Frieman, J
    García-Bellido, J
    Gaztanaga, E
    Gerdes, D W
    Gruen, D
    Gruendl, R A
    Gschwend, J
    Gutierrez, G
    Hartley, W G
    Hinton, S R
    Hollowood, D L
    Honscheid, K
    James, D J
    Jeltema, T
    Kuehn, K
    Kuropatkin, N
    Lima, M
    Maia, M A G
    Marshall, J L
    Melchior, P
    Menanteau, F
    Miquel, R
    Ogando, R L C
    Palmese, A
    Paz-Chinchón, F
    Plazas, A A
    Romer, A K
    Roodman, A
    Sanchez, E
    Saro, A
    Scarpine, V
    Schubnell, M
    Serrano, S
    Sheldon, E
    Smith, M
    Stark, A A
    Suchyta, E
    Swanson, M E C
    Tarle, G
    Thomas, D
    Tucker, D L
    Varga, T N
    Weller, J
    Wilkinson, R
    Show allShow less
    Affiliation
    Univ Arizona, Dept Astron, Steward Observ
    Issue Date
    2020-08-11
    Keywords
    methods: statistical
    galaxies: clusters: general
    large-scale structure of Universe
    X-rays: galaxies: clusters
    
    Metadata
    Show full item record
    Publisher
    OXFORD UNIV PRESS
    Citation
    Grandis, S., Klein, M., Mohr, J. J., Bocquet, S., Paulus, M., Abbott, T. M. C., ... & Wilkinson, R. (2020). Validation of selection function, sample contamination and mass calibration in galaxy cluster samples. Monthly Notices of the Royal Astronomical Society, 498(1), 771-798.
    Journal
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
    Rights
    © 2020 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We construct and validate the selection function of the MARD-Y3 galaxy cluster sample. This sample was selected through optical follow-up of the 2nd ROSAT faint source catalogue with Dark Energy Survey year 3 data. The selection function is modelled by combining an empirically constructed X-ray selection function with an incompleteness model for the optical follow-up. We validate the joint selection function by testing the consistency of the constraints on the X-ray flux-mass and richness-mass scaling relation parameters derived from different sources of mass information: (1) cross-calibration using South Pole Telescope Sunyaev-Zel'dovich (SPT-SZ) clusters, (2) calibration using number counts in X-ray, in optical and in both X-ray and optical while marginalizing over cosmological parameters, and (3) other published analyses. We find that the constraints on the scaling relation from the number counts and SPT-SZ cross-calibration agree, indicating that our modelling of the selection function is adequate. Furthermore, we apply a largely cosmology independent method to validate selection functions via the computation of the probability of finding each cluster in the SPT-SZ sample in the MARD-Y3 sample and vice versa. This test reveals no clear evidence for MARD-Y3 contamination, SPT-SZ incompleteness or outlier fraction. Finally, we discuss the prospects of the techniques presented here to limit systematic selection effects in future cluster cosmological studies.
    ISSN
    0035-8711
    EISSN
    1365-2966
    DOI
    10.1093/mnras/staa2333
    Version
    Final published version
    Sponsors
    U.S. Department of Energy
    ae974a485f413a2113503eed53cd6c53
    10.1093/mnras/staa2333
    Scopus Count
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    UA Faculty Publications

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