41 research outputs found
The clustering of galaxies at z~0.5 in the SDSS-III Data Release 9 BOSS-CMASS sample: a test for the LCDM cosmology
We present results on the clustering of 282,068 galaxies in the Baryon
Oscillation Spectroscopic Survey (BOSS) sample of massive galaxies with
redshifts 0.4<z<0.7 which is part of the Sloan Digital Sky Survey III project.
Our results cover a large range of scales from ~0.5 to ~90 Mpc/h. We compare
these estimates with the expectations of the flat LCDM cosmological model with
parameters compatible with WMAP7 data. We use the MultiDark cosmological
simulation together with a simple halo abundance matching technique, to
estimate galaxy correlation functions, power spectra, abundance of subhaloes
and galaxy biases. We find that the LCDM model gives a reasonable description
to the observed correlation functions at z~0.5, which is a remarkably good
agreement considering that the model, once matched to the observed abundance of
BOSS galaxies, does not have any free parameters. However, we find a deviation
(>~10%) in the correlation functions for scales less than ~1 Mpc/h and ~10-40
Mpc/h. A more realistic abundance matching model and better statistics from
upcoming observations are needed to clarify the situation. We also estimate
that about 12% of the "galaxies" in the abundance-matched sample are satellites
inhabiting central haloes with mass M>~1e14 M_sun/h. Using the MultiDark
simulation we also study the real space halo bias b(r) of the matched catalogue
finding that b=2.00+/-0.07 at large scales, consistent with the one obtained
using the measured BOSS projected correlation function. Furthermore, the linear
large-scale bias depends on the number density n of the abundance-matched
sample as b=-0.048-(0.594+/-0.02)*log(n/(h/Mpc)^3). Extrapolating these results
to BAO scales we measure a scale-dependent damping of the acoustic signal
produced by non-linear evolution that leads to ~2-4% dips at ~3 sigma level for
wavenumbers k>~0.1 h/Mpc in the linear large-scale bias.Comment: Replaced to match published version. Typos corrected; 25 pages, 17
figures, 9 tables. To appear in MNRAS. Correlation functions (projected and
redshift-space) and correlation matrices of CMASS presented in Appendix B.
Correlation and covariance data for the combined CMASS sample can be
downloaded from http://www.sdss3.org/science/boss_publications.ph
An Investigation of the Music Education Curriculum at Member Institutions of the Council for Christian Colleges and Universities
178 p.Thesis (Ed.D.)--University of Illinois at Urbana-Champaign, 2006.Consistent with the findings of this study and numerous studies on this topic is the great variability in curriculum and organization of the music unit. The data collected in this study may help to guide music educators in the process of program review. It may also suggest a variety of configurations for curriculum and resources.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
An Investigation of the Music Education Curriculum at Member Institutions of the Council for Christian Colleges and Universities
178 p.Thesis (Ed.D.)--University of Illinois at Urbana-Champaign, 2006.Consistent with the findings of this study and numerous studies on this topic is the great variability in curriculum and organization of the music unit. The data collected in this study may help to guide music educators in the process of program review. It may also suggest a variety of configurations for curriculum and resources.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD