The Shape of the Sloan Digital Sky Survey Data Release 5 Galaxy Power Spectrum
By Will J. Percival, Robert Nichol, Daniel J. Eisenstein, Joshua A. Frieman, M. Fukugita, J. Loveday, Adrian Pope, D. Schneider, A. Szalay, Max Tegmark and 7 more. 2007
211 citations recorded by the source corpus.
Subfields: Astronomy and Astrophysics, Instrumentation
View Paper: https://www.semanticscholar.org/paper/9c8a81fabaf80fcc7db4ea56f5390dff49be9231
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
- D. Schneider
- Simon D. M. White
- F. V. D. Bosch
- Daniel J. Eisenstein
- L. Hernquist
- P. Hopkins
- J. Brinkmann
- Will J. Percival
In Instrumentation
- D. Schneider
- F. V. D. Bosch
- Simon D. M. White
- C. Conroy
- M. Blanton
- J. Brinkmann
- L. Hernquist
- P. Hopkins
Citations in the corpus
- Cosmological Constraints from a Combination of Galaxy Clustering and Lensing -- III. Application to SDSS Data (2012, methodology): “…(mainly Ωm) inferred from different galaxy power spectra, or from using the same power spectrum, but using data covering different scales (e.g., Percival et al. 2007; Sánchez & Cole 2008; Dunkley et al. 2009) This indicates that it is prudent to use a realistic, physically motivated model…”
- The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Testing gravity with redshift-space distortions using the power spectrum multipoles (2013, background): “…most studies in the past evaluated equation (29) as a convolution with the spherically averaged window function, Ws (see e.g. Laix & Starkman 1997; Percival et al. 2001, 2007; Cole et al. 2005; Ross et al. 2012b): P conv(k) = ∫ d P true(k + )|W ( )|2s (30) which assumes an isotropic power…”
- CHANDRA CLUSTER COSMOLOGY PROJECT III: COSMOLOGICAL PARAMETER CONSTRAINTS (2008, methodology): “…their best t values reported for n = 1). e individual errorbars in galaxy survey results are smaller than those from the clus- ter data; however, a recent work by Percival et al. (2007c) sug- gests that the previous galaxy redshi results may be a ected by scale-dependent biases on large scales.”
- The clustering of galaxies in the sdss-iii baryon oscillation spectroscopic survey: Baryon acoustic oscillations in the data release 9 spectroscopic galaxy sample (2012, methodology): “We do not apply luminosity-dependent weights (as applied by Percival et al. 2007b and Reid et al. 2010), as we are only interested in the BAO, and not the overall shape of the power spectrum.”
- The 2dF-SDSS LRG and QSO Survey: the LRG 2-point correlation function and redshift-space distortions (2006, result): “If we assume the value found in recent studies of m(z = 0) = 0.25 (Cole et al. 2005; Eisenstein et al. 2005; Percival et al. 2007a,b; Tegmark et al. 2006), then our estimate of b becomes b = 1.56 ± 0.33.”
- Cosmological constraints from a combination of galaxy clustering and lensing – I. Theoretical framework (2012, background): “…acoustic oscillations in) the galaxy power spectrum (Percival et al. 2001; Cole et al. 2005; Eisenstein et al. 2005; Tegmark et al. 2006; Hütsi 2006; Percival et al. 2007a,b,c; Padmanabhan et al. 2007; Gaztanaga, Cabré & Hui 2009; Percival et al. 2010; Blake et al. 2011; Anderson et al. 2012).”
- Large-Scale Anisotropic Correlation Function of SDSS Luminous Red Galaxies (2007, methodology): “In addition, the best-fit value of Ωm is in quite good agreement with an independent analysis of the LRGs by Percival et al. (2007b) using a power spectrum that yields Ωm = 0.22 ± 0.04 with a dynamical range of 0.01 < k < 0.06hMpc−1.”
- THE NEXT GENERATION VIRGO CLUSTER SURVEY (NGVS). I. INTRODUCTION TO THE SURVEY (2012, background): “ΛCDM cosmological parameters have now been measured with high precision, leading to advances in our understanding of the initial conditions that governed the growth of structures on all scales (e.g., Spergel et al. 2003, 2007; Cole et al. 2005; Tegmark et al. 2006; Percival et al. 2007).”
- HALO OCCUPATION DISTRIBUTION MODELING OF CLUSTERING OF LUMINOUS RED GALAXIES (2008, background): “For example, the most precise measurements of the large-scale galaxy power spectrum have come from the SDSS LRG sample (Tegmark et al. 2006; Percival et al. 2007), and the principal limitation in interpreting these measurements is the uncertain level of scale-dependent bias between galaxy and…”
- Environment and self-regulation in galaxy formation (2009, background): “This redshift range corresponds to a time interval of only 100 Myr at an average lookback time of 700 Myr adopting &m = 0.24, &' = 0.76 and H 0 = 73 km s−1 Mpc−1 (Tegmark et al. 2006; Percival et al. 2007) .”
- Galaxy formation theory (2010, background): “The success of that model in explaining the cosmic microwave background (CMB) (Komatsu et al., 2009) and large scale structure (Seljak et al., 2005; Percival et al., 2007a; Ferramacho et al., 2008; Sanchez et al., 2009) of the Universe makes it thede facto standard.”
- Cosmological parameter constraints from SDSS luminous red galaxies: a new treatment of large-scale clustering (2009, methodology): “Note that this is at variance with the approach of Eisenstein et al. (2005), Tegmark et al. (2006) and Percival et al. (2007a) who kept this length fixed.”
- Cosmological constraints from the clustering of the Sloan Digital Sky Survey DR7 luminous red galaxies (vol 404, pg 60, 2010) (2009, methodology): “Rather than recomputing P̂halo(k) for each comoving distance–redshift relation to be tested, Percival et al. (2007) and P10 account for this when evaluating the likelihood of other cosmological models by altering the window function.”