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arXiv · 0904.3553

Spatial Clustering from GALEX-SDSS samples: Star Formation History and large-scale clustering

Sebastien Heinis·Tamas Budavari·Alex S. Szalay·Stephane Arnouts·Miguel A. Aragon-Calvo·Ted K. Wyder·Tom A. Barlow·Karl Foster·Peter G. Friedman·D. Christopher Martin·Patrick Morrissey·Susan G. Neff·David Schiminovich·Mark Seibert·Luciana Bianchi·Jose Donas·Timothy M. Heckman·Young-Wook Lee·Barry F. Madore·Bruno Milliard·R. Michael Rich·Sukyoung K. Yi
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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.

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Sebastien Heinis, Tamas Budavari, Alex S. Szalay, Stephane Arnouts, Miguel A. Aragon-Calvo, Ted K. Wyder, Tom A. Barlow, Karl Foster, Peter G. Friedman, D. Christopher Martin, Patrick Morrissey, Susan G. Neff, David Schiminovich, Mark Seibert, Luciana Bianchi, Jose Donas, Timothy M. Heckman, Young-Wook Lee, Barry F. Madore, Bruno Milliard, R. Michael Rich, Sukyoung K. Yi. 2009-04-22. Spatial Clustering from GALEX-SDSS samples: Star Formation History and large-scale clustering. https://doi.org/10.1088/0004-637x%2F698%2F2%2F1838

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