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Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa2816
Abstract: Identifying galaxy groups from redshift surveys of galaxies plays an important role in connecting galaxies with the underlying dark matter distribution. Current and future high-$z$ spectroscopic surveys, usually incomplete in redshift sampling, present both opportunities…
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Keywords:
identifying galaxy;
group finder;
group;
galaxy groups ... See more keywords
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Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stab1697
Abstract: We explore the clustering of galaxy groups in the Galaxy and Mass Assembly (GAMA) survey to investigate the dependence of group bias and profile on separation scale and group mass. Due to the inherent uncertainty…
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Keywords:
clustering galaxy;
galaxy mass;
mass;
group ... See more keywords
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Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stw2321
Abstract: We investigate segregation phenomena in galaxy groups in the range of $0.2 0.6$) redshift groups. Assuming that the color index ${(U-B)_0}$ can be used as a proxy for the galaxy type, we found that the…
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Keywords:
sample;
segregation effects;
high sample;
low sample ... See more keywords
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Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx1488
Abstract: `Galaxy groups' have hardly been realised as a separate class of objects with specific characteristics in the structural hierarchy. The presumption that the self-similarity of dark matter structures is a valid prescription for the baryonic…
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Keywords:
groups unique;
galaxy;
non thermal;
understanding galaxy ... See more keywords
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Published in 2019 at "Monthly Notices of the Royal Astronomical Society: Letters"
DOI: 10.1093/mnrasl/slz045
Abstract: We present a proof of concept of a new galaxy group finder method, Markov graph CLustering (MCL) that naturally handles probabilistic linking criteria. We introduce a new figure of merit, the variation of information (VI)…
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Keywords:
mcl;
group;
approach finding;
new approach ... See more keywords