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Angular correlation function of 1.5 million LRGs: clustering evolution and a search for BAO
U. Sawangwit, T. Shanks, F. B. Abdalla +5
We present the angular correlation function measured from photometric samples comprising 1,562,800 luminous red galaxies (LRGs). Three LRG samples were extracted from the Sloan Dig…
Exploring the Luminosity Evolution and Stellar Mass Assembly of 2SLAQ Luminous Red Galaxies Between Redshift 0.4 and 0.8
Manda Banerji, Ignacio Ferreras, Filipe B. Abdalla +2
We present an analysis of the evolution of 8625 Luminous Red Galaxies between z = 0.4 and z = 0.8 in the 2dF and SDSS LRG and QSO (2SLAQ) survey. The LRGs are split into redshift b…
The WiggleZ Dark Energy Survey: Direct constraints on blue galaxy intrinsic alignments at intermediate redshifts
Rachel Mandelbaum, Chris Blake, Sarah Bridle +21
Correlations between the intrinsic shapes of galaxy pairs, and between the intrinsic shapes of galaxies and the large-scale density field, may be induced by tidal fields. These cor…
Upper Bound of 0.28 eV on the Neutrino Masses from the Largest Photometric Redshift Survey
Shaun A. Thomas, Filipe B. Abdalla, Ofer Lahav
We present a new upper limit of sum m_ν eV < 0.28 (95% CL) on the sum of the neutrino masses assuming a flat LCDM cosmology. This relaxes slightly to sum m_ν < 0.34 and sum m_ν < 0…
Forecasting neutrino masses from galaxy clustering in the Dark Energy Survey combined with the Planck Measurements
Ofer Lahav, Angeliki Kiakotou, Filipe B. Abdalla +1
We study the prospects for detecting neutrino masses from the galaxy angular power spectrum in photometric redshift shells of the Dark Energy Survey (DES) over a volume of 20 (Gpc/…
Galaxy Zoo: Reproducing Galaxy Morphologies Via Machine Learning
Manda Banerji, Ofer Lahav, Chris J. Lintott +10
We present morphological classifications obtained using machine learning for objects in SDSS DR6 that have been classified by Galaxy Zoo into three classes, namely early types, spi…