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

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 equator...

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Published inMonthly notices of the Royal Astronomical Society Vol. 438; no. 1; pp. 177 - 194
Main Authors 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
Format Journal Article
LanguageEnglish
Published London Oxford University Press 11.02.2014
Subjects
Online AccessGet full text
ISSN0035-8711
1365-8711
1365-2966
1365-2966
DOI10.1093/mnras/stt2136

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Abstract 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.
AbstractList 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.
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^sup -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^sup -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.
Author Robotham, Aaron S. G.
Loveday, Jon
Norberg, Peder
Bland-Hawthorn, Joss
Pimbblet, Kevin
Colless, Matthew
Liske, Jochen
Kelvin, Lee
Alpaslan, Mehmet
McNaught-Roberts, Tamsyn
Cluver, Michelle
Van Kampen, Eelco
Lopez-Sanchez, Angel R.
Baldry, Ivan
Lara-Lopez, Maritza A.
Bauer, Amanda E.
Brown, Michael
Foster, Caroline
Merson, Alexander
Driver, Simon
Hopkins, Andrew
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Snippet 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...
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SubjectTerms Cosmology
Stars & galaxies
Universe
Title Galaxy And Mass Assembly (GAMA): the large-scale structure of galaxies and comparison to mock universes
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https://durham-repository.worktribe.com/output/1460437
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