SDSS-RASS: Next Generation of Cluster-Finding Algorithms

Nichol, R.; Miller, Christopher J.; Connolly, Andrew J.; Chong, S.; Genovese, Christopher R.; Moore, Anna; Reichart, D.; Schneider, Jeff; Wasserman, Larry; Annis, James; Brinkman, J.; Böhringer, H.; Castander, F. J.; Kim, R.; McKay, T.; Postman, Marc; Sheldon, E.; Szapudi, István; Romer, Kathy; Voges, W.

doi:10.1007/10849171_81

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…In order to compute accurate GCVFs down to the lowest possible circular velocities, we used the nearest clusters. Miller et al, 2002 (in prep) have identified 62 clusters in the Equatorial Stripes of the SDSS using the C4 algorithm (Nichol et al 2001;Gomez et al 2002). This algorithm uses the observed phenomenon that galaxies in clusters have similar colors as well as locations.…”

Section: Cluster Samplementioning

confidence: 99%

The cluster galaxy circular velocity function

Desai

Dalcanton

Mayer

et al. 2004

Monthly Notices of the Royal Astronomical Society

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We present galaxy circular velocity functions (GCVFs) for 34 low-redshift (z 0.15) clusters identified in the Sloan Digital Sky Survey (SDSS), for 15 clusters drawn from dark matter simulations of hierarchical structure growth in a CDM cosmology, and for ∼22 000 SDSS field galaxies. We find that the simulations successfully reproduce the shape, amplitude and scatter in the observed distribution of cluster galaxy circular velocities. The power-law slope of the observed cluster GCVF is ∼ −2.4, independent of cluster velocity dispersion. The average slope of the simulated GCVFs is somewhat steeper, although formally consistent given the errors. We find that the effects of baryons on galaxy rotation curves is to flatten the simulated cluster GCVF into better agreement with observations. The cumulative GCVFs of the simulated clusters are very similar across a wide range of cluster masses, provided individual subhalo circular velocities are scaled by the circular velocities of the parent cluster. The scatter is consistent with that measured in the cumulative, scaled observed cluster GCVF. Finally, the observed field GCVF deviates significantly from a power law, being flatter than the cluster GCVF at circular velocities less than 200 km s −1 .

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Section: Cluster Samplementioning

confidence: 99%

The cluster galaxy circular velocity function

Desai

Dalcanton

Mayer

et al. 2004

Monthly Notices of the Royal Astronomical Society

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Constraining the Matter Power Spectrum Normalization Using the Sloan Digital Sky Survey/[ITAL]ROSAT[/ITAL] All-Sky Survey and REFLEX Cluster Surveys

Viana

Nichol

Liddle

2002

The Astrophysical Journal

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We describe a new approach to constrain the amplitude of the power spectrum of matter perturbations in the Universe, parametrized by σ 8 as a function of the matter density Ω 0 . We compare the galaxy cluster X-ray luminosity function of the REFLEX survey with the theoretical mass function of Jenkins et al. (2001), using the mass-luminosity relationship obtained from weak lensing data for a sample of galaxy clusters identified in Sloan Digital Sky Survey commissioning data and confirmed through cross-correlation with the ROSAT all-sky survey. We find σ 8 = 0.38 Ω −0.48+0.27Ω0 0 , which is significantly different from most previous results derived from comparable calculations that used the X-ray temperature function. We discuss possible sources of systematic error that may cause such a discrepancy, and in the process uncover a possible inconsistency between the REFLEX luminosity function and the relation between cluster X-ray luminosity and mass obtained by .

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SDSS-RASS: Next Generation of Cluster-Finding Algorithms

Abstract: Abstract. We outline here the next generation of cluster-finding algorithms. We show how advances

Cited by 2 publications

References 17 publications

The cluster galaxy circular velocity function

The cluster galaxy circular velocity function

Constraining the Matter Power Spectrum Normalization Using the Sloan Digital Sky Survey/[ITAL]ROSAT[/ITAL] All-Sky Survey and REFLEX Cluster Surveys

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