Spatial Clustering from GALEX-SDSS samples: Star Formation History and large-scale clustering
Abstract
We measure the projected spatial correlation function w_p(r_p) from a large sample combining GALEX ultraviolet imaging with the SDSS spectroscopic sample. We study the dependence of the clustering strength for samples selected on (NUV - r)_abs color, specific star formation rate (SSFR), and stellar mass. We find that there is a smooth transition in the clustering of galaxies as a function of this color from weak clustering among blue galaxies to stronger clustering for red galaxies. The clustering of galaxies within the "green valley" has an intermediate strength, and is consistent with that expected from galaxy groups. The results are robust to the correction for dust extinction. The comparison with simple analytical modeling suggests that the halo occupation number increases with older star formation epochs. When splitting according to SSFR, we find that the SSFR is a more sensitive tracer of environment than stellar mass.
Cite
@article{arxiv.0904.3553,
title = {Spatial Clustering from GALEX-SDSS samples: Star Formation History and large-scale clustering},
author = {Sebastien Heinis and Tamas Budavari and Alex S. Szalay and Stephane Arnouts and Miguel A. Aragon-Calvo and Ted K. Wyder and Tom A. Barlow and Karl Foster and Peter G. Friedman and D. Christopher Martin and Patrick Morrissey and Susan G. Neff and David Schiminovich and Mark Seibert and Luciana Bianchi and Jose Donas and Timothy M. Heckman and Young-Wook Lee and Barry F. Madore and Bruno Milliard and R. Michael Rich and Sukyoung K. Yi},
journal= {arXiv preprint arXiv:0904.3553},
year = {2014}
}
Comments
Accepted for publication in ApJ; 14 pages, 17 figures, 4 tables