Related Experiment Video
Updated: May 30, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Excess clustering on large scales in the MegaZ DR7 photometric redshift survey
Shaun A Thomas1, Filipe B Abdalla, Ofer Lahav
1Department of Physics and Astronomy, University College London, London, United Kingdom.
Abstract:
We observe a large excess of power in the statistical clustering of luminous red galaxies in the photometric SDSS galaxy sample called MegaZ DR7. This is seen over the lowest multipoles in the angular power spectra C_{ℓ} in four equally spaced redshift bins between 0.45≤z≤0.65. However, it is most prominent in the highest redshift band at ∼4σ and it emerges at an effective scale k≲0.01 h Mpc(-1). Given that MegaZ DR7 is the largest cosmic volume galaxy survey to date (3.3(Gpch(-1))(3)) this implies an anomaly on the largest physical scales probed by galaxies. Alternatively, this signature could be a consequence of it appearing at the most systematically susceptible redshift. There are several explanations for this excess power that range from systematics to new physics. We test the survey, data, and excess power, as well as possible origins.
More Related Videos
06:26Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
Published on: November 27, 2019
12:51Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy
Published on: December 9, 2013