Galaxy And Mass Assembly (GAMA): the large-scale structure of galaxies and comparison to mock universes

Mehmet Alpaslan*, Aaron S. G. Robotham, Simon Driver, Peder Norberg, Ivan Baldry, Amanda E. Bauer, Joss Bland-Hawthorn, Michael Brown, Michelle Cluver, Matthew Colless, Caroline Foster, Andrew Hopkins, Eelco Van Kampen, Lee Steven Kelvin, Maritza A. Lara-Lopez, Jochen Liske, Angel R. Lopez-Sanchez, Jon Loveday, Tamsyn McNaught-Roberts, Alexander MersonKevin Pimbblet

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

81 Citations (Scopus)


From a volume-limited sample of 45 542 galaxies and 6000 groups with z ≤ 0.213, we use an adapted minimal spanning tree algorithm to identify and classify large-scale structures within the Galaxy And Mass Assembly (GAMA) survey. Using galaxy groups, we identify 643 filaments across the three equatorial GAMA fields that span up to 200 h−1 Mpc in length, each with an average of eight groups within them. By analysing galaxies not belonging to groups, we identify a secondary population of smaller coherent structures composed entirely of galaxies, dubbed ‘tendrils’ that appear to link filaments together, or penetrate into voids, generally measuring around 10 h−1 Mpc in length and containing on average six galaxies. Finally, we are also able to identify a population of isolated void galaxies. By running this algorithm on GAMA mock galaxy catalogues, we compare the characteristics of large-scale structure between observed and mock data, finding that mock filaments reproduce observed ones extremely well. This provides a probe of higher order distribution statistics not captured by the popularly used two-point correlation function.

Original languageEnglish
Pages (from-to)177-194
Number of pages18
JournalMonthly Notices of the Royal Astronomical Society
Issue number1
Early online date14 Dec 2013
Publication statusPublished - 11 Feb 2014


  • Methods: observational
  • Surveys
  • Large-scale structure of Universe
  • Cosmic web
  • Redshift survey
  • Luminosity functions
  • Filaments
  • Clusters
  • Catalog
  • Voids
  • Superstructures
  • Classification
  • Morphology


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