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 journalArticle

19 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1838-1851
Number of pages14
JournalAstrophysical Journal
Volume698
Issue number2
DOIs
Publication statusPublished - 2009 Jun 20

Fingerprint

star formation
histories
galaxies
star formation rate
history
stellar mass
occupation
color
extinction
tracer
galactic clusters
dust
valley
tracers
valleys
halos
modeling
time measurement
rate
comparison

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Heinis, S., Budavári, T., Szalay, A. S., Arnouts, S., Aragón-Calvo, M. A., Wyder, T. K., ... 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
Heinis, Sébastien ; Budavári, Tamás ; Szalay, Alex S. ; Arnouts, Stéphane ; Aragón-Calvo, Miguel A. ; Wyder, Ted K. ; Barlow, Tom A. ; Foster, Karl ; Peter, Friedman G. ; Martin, D. Christopher ; Morrissey, Patrick ; Neff, Susan G. ; Schiminovich, David ; Seibert, Mark ; Bianchi, Luciana ; Donas, José ; Heckman, Timothy M. ; Lee, Young Wook ; Madore, Barry F. ; Milliard, Bruno ; Michael Rich, R. ; Yi, Sukyoung K. / Spatial clustering from Galex-SDSS samples : Star formation history and large-scale clustering. In: Astrophysical Journal. 2009 ; Vol. 698, No. 2. pp. 1838-1851.
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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

Spatial clustering from Galex-SDSS samples : Star formation history and large-scale clustering. / Heinis, Sébastien; Budavári, Tamás; Szalay, Alex S.; Arnouts, Stéphane; Aragón-Calvo, Miguel A.; Wyder, Ted K.; Barlow, Tom A.; Foster, Karl; Peter, Friedman G.; Martin, D. Christopher; Morrissey, Patrick; Neff, Susan G.; Schiminovich, David; Seibert, Mark; Bianchi, Luciana; Donas, José; Heckman, Timothy M.; Lee, Young Wook; Madore, Barry F.; Milliard, Bruno; Michael Rich, R.; Yi, Sukyoung K.

In: Astrophysical Journal, Vol. 698, No. 2, 20.06.2009, p. 1838-1851.

Research output: Contribution to journalArticle

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.

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Heinis S, Budavári T, Szalay AS, Arnouts S, Aragón-Calvo MA, Wyder TK et al. Spatial clustering from Galex-SDSS samples: Star formation history and large-scale clustering. Astrophysical Journal. 2009 Jun 20;698(2):1838-1851. https://doi.org/10.1088/0004-637X/698/2/1838