The cut-and-enhance method: Selecting clusters of galaxies from the sloan digital sky survey commissioning data

Tomotsugu Goto, Maki Sekiguchi, Robert C. Nichol, Neta A. Bahcall, Rita S J Kim, James Annis, Željko Ivezić, J. Brinkmann, Gregory S. Hennessy, G. Szokoly, Douglas L. Tucker

Research output: Contribution to journalArticle

146 Citations (Scopus)

Abstract

We describe an automated method, the cut-and-enhance (CE) method, for detecting clusters of galaxies in multicolor optical imaging surveys. This method uses simple color cuts, combined with a density enhancement algorithm, to up-weight pairs of galaxies that are close in both angular separation and color. The method is semiparametric, since it uses minimal assumptions about cluster properties in order to minimize possible biases. No assumptions are made about the shape of clusters, their radial profile, or their luminosity function. The method is successful in finding systems ranging from poor to rich clusters of galaxies, of both regular and irregular shape. We determine the selection function of the CE method via extensive Monte Carlo simulations that use both the real, observed background of galaxies and a randomized background of galaxies. We use position-shuffled and color-shuffled data to perform false-positive tests. We have also visually checked all the clusters detected by the CE method. We apply the CE method to the 350 deg2 of the Sloan Digital Sky Survey (SDSS) commissioning data and construct an SDSS CE galaxy cluster catalog with an estimated redshift and richness for each cluster. The CE method is compared with other cluster selection methods used on SDSS data such as the matched filter, "maxBCG," and Voronoi tessellation techniques. The CE method can be adopted for cluster selection in any multicolor imaging survey.

Original languageEnglish
Pages (from-to)1807-1825
Number of pages19
JournalAstronomical Journal
Volume123
Issue number4 1756
DOIs
Publication statusPublished - Apr 2002

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galaxies
color
method
matched filters
catalogs
luminosity
augmentation
filter
profiles
simulation

Keywords

  • Galaxies: clusters: general
  • Methods: analytical

ASJC Scopus subject areas

  • Space and Planetary Science
  • Astronomy and Astrophysics

Cite this

Goto, T., Sekiguchi, M., Nichol, R. C., Bahcall, N. A., Kim, R. S. J., Annis, J., ... Tucker, D. L. (2002). The cut-and-enhance method: Selecting clusters of galaxies from the sloan digital sky survey commissioning data. Astronomical Journal, 123(4 1756), 1807-1825. https://doi.org/10.1086/339303

The cut-and-enhance method : Selecting clusters of galaxies from the sloan digital sky survey commissioning data. / Goto, Tomotsugu; Sekiguchi, Maki; Nichol, Robert C.; Bahcall, Neta A.; Kim, Rita S J; Annis, James; Ivezić, Željko; Brinkmann, J.; Hennessy, Gregory S.; Szokoly, G.; Tucker, Douglas L.

In: Astronomical Journal, Vol. 123, No. 4 1756, 04.2002, p. 1807-1825.

Research output: Contribution to journalArticle

Goto, T, Sekiguchi, M, Nichol, RC, Bahcall, NA, Kim, RSJ, Annis, J, Ivezić, Ž, Brinkmann, J, Hennessy, GS, Szokoly, G & Tucker, DL 2002, 'The cut-and-enhance method: Selecting clusters of galaxies from the sloan digital sky survey commissioning data', Astronomical Journal, vol. 123, no. 4 1756, pp. 1807-1825. https://doi.org/10.1086/339303
Goto, Tomotsugu ; Sekiguchi, Maki ; Nichol, Robert C. ; Bahcall, Neta A. ; Kim, Rita S J ; Annis, James ; Ivezić, Željko ; Brinkmann, J. ; Hennessy, Gregory S. ; Szokoly, G. ; Tucker, Douglas L. / The cut-and-enhance method : Selecting clusters of galaxies from the sloan digital sky survey commissioning data. In: Astronomical Journal. 2002 ; Vol. 123, No. 4 1756. pp. 1807-1825.
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