Details

Autor(en) / Beteiligte

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

Titel

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

Ist Teil von

• Monthly notices of the Royal Astronomical Society, 2014-02, Vol.438 (1), p.177-194

Ort / Verlag

London: Oxford University Press

Erscheinungsjahr

2014

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.