Galaxy cluster mass estimation from stacked spectroscopic analysis
We use simulated galaxy surveys to study: (i) how galaxy membership in redMaPPer clusters maps to the underlying halo population, and (ii) the accuracy of a mean dynamical cluster mass, M-sigma(lambda), derived from stacked pairwise spectroscopy of clusters with richness lambda. Using similar to 130...
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OXFORD UNIV PRESS
2016
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6214262016-11-30T03:00:31Z Galaxy cluster mass estimation from stacked spectroscopic analysis Farahi, Arya Evrard, August E. Rozo, Eduardo Rykoff, Eli S. Wechsler, Risa H. Univ Arizona, Dept Phys methods: statistical galaxies: clusters: general galaxies: haloes We use simulated galaxy surveys to study: (i) how galaxy membership in redMaPPer clusters maps to the underlying halo population, and (ii) the accuracy of a mean dynamical cluster mass, M-sigma(lambda), derived from stacked pairwise spectroscopy of clusters with richness lambda. Using similar to 130 000 galaxy pairs patterned after the Sloan Digital Sky Survey (SDSS) redMaPPer cluster sample study of Rozo et al., we show that the pairwise velocity probability density function of central-satellite pairs with m(i) < 19 in the simulation matches the form seen in Rozo et al. Through joint membership matching, we deconstruct the main Gaussian velocity component into its halo contributions, finding that the top-ranked halo contributes similar to 60 per cent of the stacked signal. The halo mass scale inferred by applying the virial scaling of Evrard et al. to the velocity normalization matches, to within a few per cent, the log-mean halo mass derived through galaxy membership matching. We apply this approach, along with miscentring and galaxy velocity bias corrections, to estimate the log-mean matched halo mass at z = 0.2 of SDSS redMaPPer clusters. Employing the velocity bias constraints of Guo et al., we find aEuroln (M-200c)|lambda aEuro parts per thousand = ln (< M-30) + alpha(m) ln (lambda/30) with M-30 = 1.56 +/- 0.35 x 10(14) M-aS (TM) and alpha(m) = 1.31 +/- 0.06(stat) +/- 0.13(sys). Systematic uncertainty in the velocity bias of satellite galaxies overwhelmingly dominates the error budget. 2016-08-21 Article Galaxy cluster mass estimation from stacked spectroscopic analysis 2016, 460 (4):3900 Monthly Notices of the Royal Astronomical Society 0035-8711 1365-2966 10.1093/mnras/stw1143 http://hdl.handle.net/10150/621426 http://arizona.openrepository.com/arizona/handle/10150/621426 Monthly Notices of the Royal Astronomical Society en http://mnras.oxfordjournals.org/lookup/doi/10.1093/mnras/stw1143 © 2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society OXFORD UNIV PRESS |
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methods: statistical galaxies: clusters: general galaxies: haloes |
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methods: statistical galaxies: clusters: general galaxies: haloes Farahi, Arya Evrard, August E. Rozo, Eduardo Rykoff, Eli S. Wechsler, Risa H. Galaxy cluster mass estimation from stacked spectroscopic analysis |
description |
We use simulated galaxy surveys to study: (i) how galaxy membership in redMaPPer clusters maps to the underlying halo population, and (ii) the accuracy of a mean dynamical cluster mass, M-sigma(lambda), derived from stacked pairwise spectroscopy of clusters with richness lambda. Using similar to 130 000 galaxy pairs patterned after the Sloan Digital Sky Survey (SDSS) redMaPPer cluster sample study of Rozo et al., we show that the pairwise velocity probability density function of central-satellite pairs with m(i) < 19 in the simulation matches the form seen in Rozo et al. Through joint membership matching, we deconstruct the main Gaussian velocity component into its halo contributions, finding that the top-ranked halo contributes similar to 60 per cent of the stacked signal. The halo mass scale inferred by applying the virial scaling of Evrard et al. to the velocity normalization matches, to within a few per cent, the log-mean halo mass derived through galaxy membership matching. We apply this approach, along with miscentring and galaxy velocity bias corrections, to estimate the log-mean matched halo mass at z = 0.2 of SDSS redMaPPer clusters. Employing the velocity bias constraints of Guo et al., we find aEuroln (M-200c)|lambda aEuro parts per thousand = ln (< M-30) + alpha(m) ln (lambda/30) with M-30 = 1.56 +/- 0.35 x 10(14) M-aS (TM) and alpha(m) = 1.31 +/- 0.06(stat) +/- 0.13(sys). Systematic uncertainty in the velocity bias of satellite galaxies overwhelmingly dominates the error budget. |
author2 |
Univ Arizona, Dept Phys |
author_facet |
Univ Arizona, Dept Phys Farahi, Arya Evrard, August E. Rozo, Eduardo Rykoff, Eli S. Wechsler, Risa H. |
author |
Farahi, Arya Evrard, August E. Rozo, Eduardo Rykoff, Eli S. Wechsler, Risa H. |
author_sort |
Farahi, Arya |
title |
Galaxy cluster mass estimation from stacked spectroscopic analysis |
title_short |
Galaxy cluster mass estimation from stacked spectroscopic analysis |
title_full |
Galaxy cluster mass estimation from stacked spectroscopic analysis |
title_fullStr |
Galaxy cluster mass estimation from stacked spectroscopic analysis |
title_full_unstemmed |
Galaxy cluster mass estimation from stacked spectroscopic analysis |
title_sort |
galaxy cluster mass estimation from stacked spectroscopic analysis |
publisher |
OXFORD UNIV PRESS |
publishDate |
2016 |
url |
http://hdl.handle.net/10150/621426 http://arizona.openrepository.com/arizona/handle/10150/621426 |
work_keys_str_mv |
AT farahiarya galaxyclustermassestimationfromstackedspectroscopicanalysis AT evrardauguste galaxyclustermassestimationfromstackedspectroscopicanalysis AT rozoeduardo galaxyclustermassestimationfromstackedspectroscopicanalysis AT rykoffelis galaxyclustermassestimationfromstackedspectroscopicanalysis AT wechslerrisah galaxyclustermassestimationfromstackedspectroscopicanalysis |
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1718398577951113216 |