Context. Groups form the most abundant class of galaxy systems. They act as the principal drivers of galaxy evolution and can be used as tracers of the large-scale structure and the underlying cosmology. However, the detection of galaxy groups from galaxy redshift survey data is hampered by several observational limitations. Aims. We improve the widely used friends-of-friends (FoF) group finding algorithm with membership refinement procedures and apply the method to a combined dataset of galaxies in the local Universe. A major aim of the refinement is to detect subgroups within the FoF groups, enabling a more reliable suppression of the fingers-of-God effect. Methods. The FoF algorithm is often suspected of leaving subsystem...
Context. Friends-of-friends algorithms are a common tool to detect galaxy groups and clusters in lar...
We construct a galaxy groups catalogue from the public 100K data release of the 2dF galaxy redshift ...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
[[abstract]]A new algorithm is developed, based on the friends-of-friends (FOF) algorithm, to identi...
We present a structure-finding algorithm designed to identify galaxy groups in photometric-redshift ...
International audienceThe specific star formation rates of galaxies are influenced both by their mas...
Context. Galaxy groups and clusters are the main tools used to test cosmological models and to study...
The most common galaxy group finding algorithm, Friends-of-Friends (FoF), finds "settled'' groups th...
Context. Galaxy groups provide the means for a great diversity of studies that contribute to a bette...
We use the halo occupation model to calibrate galaxy group finders in magnitude limited redshift sur...
We present a new sample of galaxy groups identified in the Sloan Digital Sky Survey Data Release 3. ...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Redshift Survey (2...
We present a modified version of the friends-of-friends (FOF) structure finding algorithm, designed ...
8 pages, 5 figures, accepted in A&A, shortened abstractWe present an automated method to detect popu...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Red-shift Survey (...
Context. Friends-of-friends algorithms are a common tool to detect galaxy groups and clusters in lar...
We construct a galaxy groups catalogue from the public 100K data release of the 2dF galaxy redshift ...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
[[abstract]]A new algorithm is developed, based on the friends-of-friends (FOF) algorithm, to identi...
We present a structure-finding algorithm designed to identify galaxy groups in photometric-redshift ...
International audienceThe specific star formation rates of galaxies are influenced both by their mas...
Context. Galaxy groups and clusters are the main tools used to test cosmological models and to study...
The most common galaxy group finding algorithm, Friends-of-Friends (FoF), finds "settled'' groups th...
Context. Galaxy groups provide the means for a great diversity of studies that contribute to a bette...
We use the halo occupation model to calibrate galaxy group finders in magnitude limited redshift sur...
We present a new sample of galaxy groups identified in the Sloan Digital Sky Survey Data Release 3. ...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Redshift Survey (2...
We present a modified version of the friends-of-friends (FOF) structure finding algorithm, designed ...
8 pages, 5 figures, accepted in A&A, shortened abstractWe present an automated method to detect popu...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Red-shift Survey (...
Context. Friends-of-friends algorithms are a common tool to detect galaxy groups and clusters in lar...
We construct a galaxy groups catalogue from the public 100K data release of the 2dF galaxy redshift ...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...