Spatial clustering from Galex-SDSS samples: Star formation history and large-scale clustering

Sébastien Heinis; Tamás Budavári; Alex S. Szalay; Stéphane Arnouts; Miguel A. Aragón-Calvo; Ted K. Wyder; Tom A. Barlow; Karl Foster; Friedman G. Peter; D. Christopher Martin; Patrick Morrissey; Susan G. Neff; David Schiminovich; Mark Seibert; Luciana Bianchi; José Donas; Timothy M. Heckman; Young Wook Lee; Barry F. Madore; Bruno Milliard; R. Michael Rich; Sukyoung K. Yi

doi:10.1088/0004-637X/698/2/1838

Spatial clustering from Galex-SDSS samples: Star formation history and large-scale clustering

Sébastien Heinis, Tamás Budavári, Alex S. Szalay, Stéphane Arnouts, Miguel A. Aragón-Calvo, Ted K. Wyder, Tom A. Barlow, Karl Foster, Friedman G. Peter, D. Christopher Martin, Patrick Morrissey, Susan G. Neff, David Schiminovich, Mark Seibert, Luciana Bianchi, José Donas, Timothy M. Heckman, Young Wook Lee, Barry F. Madore, Bruno MilliardR. Michael Rich, Sukyoung K. Yi

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

We measure the projected spatial correlation function w_p(r_p) from a large sample combining Galaxy Evolution Explorer ultraviolet imaging with the Sloan Digital Sky Survey 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.

Original language	English
Pages (from-to)	1838-1851
Number of pages	14
Journal	Astrophysical Journal
Volume	698
Issue number	2
DOIs	https://doi.org/10.1088/0004-637X/698/2/1838
Publication status	Published - 2009 Jun 20

Bibliographical note

Publisher Copyright:
© 2009 The American Astronomical Society. All rights reserved. Printed in the U.S.A.

All Science Journal Classification (ASJC) codes

Astronomy and Astrophysics
Space and Planetary Science

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10.1088/0004-637X/698/2/1838

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Heinis, S., Budavári, T., Szalay, A. S., Arnouts, S., Aragón-Calvo, M. A., Wyder, T. K., Barlow, T. A., Foster, K., Peter, F. G., Martin, D. C., Morrissey, P., Neff, S. G., Schiminovich, D., Seibert, M., Bianchi, L., Donas, J., Heckman, T. M., Lee, Y. W., Madore, B. F., ... Yi, S. K. (2009). Spatial clustering from Galex-SDSS samples: Star formation history and large-scale clustering. Astrophysical Journal, 698(2), 1838-1851. https://doi.org/10.1088/0004-637X/698/2/1838

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title = "Spatial clustering from Galex-SDSS samples: Star formation history and large-scale clustering",

abstract = "We measure the projected spatial correlation function wp(rp) from a large sample combining Galaxy Evolution Explorer ultraviolet imaging with the Sloan Digital Sky Survey 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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Heinis, S, Budavári, T, Szalay, AS, Arnouts, S, Aragón-Calvo, MA, Wyder, TK, Barlow, TA, Foster, K, Peter, FG, Martin, DC, Morrissey, P, Neff, SG, Schiminovich, D, Seibert, M, Bianchi, L, Donas, J, Heckman, TM, Lee, YW, Madore, BF, Milliard, B, Michael Rich, R & Yi, SK 2009, 'Spatial clustering from Galex-SDSS samples: Star formation history and large-scale clustering', Astrophysical Journal, vol. 698, no. 2, pp. 1838-1851. https://doi.org/10.1088/0004-637X/698/2/1838

TY - JOUR

T1 - Spatial clustering from Galex-SDSS samples

T2 - Star formation history and large-scale clustering

AU - Heinis, Sébastien

AU - Budavári, Tamás

AU - Szalay, Alex S.

AU - Arnouts, Stéphane

AU - Aragón-Calvo, Miguel A.

AU - Wyder, Ted K.

AU - Barlow, Tom A.

AU - Foster, Karl

AU - Peter, Friedman G.

AU - Martin, D. Christopher

AU - Morrissey, Patrick

AU - Neff, Susan G.

AU - Schiminovich, David

AU - Seibert, Mark

AU - Bianchi, Luciana

AU - Donas, José

AU - Heckman, Timothy M.

AU - Lee, Young Wook

AU - Madore, Barry F.

AU - Milliard, Bruno

AU - Michael Rich, R.

AU - Yi, Sukyoung K.

PY - 2009/6/20

Y1 - 2009/6/20

N2 - We measure the projected spatial correlation function wp(rp) from a large sample combining Galaxy Evolution Explorer ultraviolet imaging with the Sloan Digital Sky Survey 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.

AB - We measure the projected spatial correlation function wp(rp) from a large sample combining Galaxy Evolution Explorer ultraviolet imaging with the Sloan Digital Sky Survey 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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SN - 0004-637X

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Spatial clustering from Galex-SDSS samples: Star formation history and large-scale clustering

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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