Context. Friends-of-friends algorithms are a common tool to detect galaxy groups and clusters in large survey data. In order to be as precise as possible, they have to be carefully calibrated using mock catalogues. Aims. We create an accurate and robust description of the matter distribution in the local Universe using the most up-to-date available data. This will provide the input for a specific cosmological test planned as follow-up to this work, and will be useful for general extragalactic and cosmological research. Methods. We created a set of galaxy group catalogues based on the 2MRS and SDSS DR12 galaxy samples using a friends-of-friends based group finder algorithm. The algorithm was carefully calibrated and optimis...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Red-shift Survey (...
Aims. We extract groups of galaxies from the SDSS Data Release 5 to study the supercluster-void net...
8 pages, 5 figures, accepted in A&A, shortened abstractWe present an automated method to detect popu...
Context. Friends-of-friends algorithms are a common tool to detect galaxy groups and clusters in lar...
International audienceThe specific star formation rates of galaxies are influenced both by their mas...
A galaxy group catalog is constructed from the 2MASS Redshift Survey (2MRS) with the use of a halo-b...
Aims. We intend to compile a new galaxy group and cluster sample of the latest available SDSS data, ...
Context. Galaxy groups provide the means for a great diversity of studies that contribute to a bette...
We present a catalogue of galaxy groups and clusters selected using a friends-of-friends algorithm w...
[[abstract]]A new algorithm is developed, based on the friends-of-friends (FOF) algorithm, to identi...
Context. Galaxy groups and clusters are the main tools used to test cosmological models and to study...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Red-shift Survey (...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Red-shift Survey (...
Aims. We extract groups of galaxies from the SDSS Data Release 5 to study the supercluster-void net...
8 pages, 5 figures, accepted in A&A, shortened abstractWe present an automated method to detect popu...
Context. Friends-of-friends algorithms are a common tool to detect galaxy groups and clusters in lar...
International audienceThe specific star formation rates of galaxies are influenced both by their mas...
A galaxy group catalog is constructed from the 2MASS Redshift Survey (2MRS) with the use of a halo-b...
Aims. We intend to compile a new galaxy group and cluster sample of the latest available SDSS data, ...
Context. Galaxy groups provide the means for a great diversity of studies that contribute to a bette...
We present a catalogue of galaxy groups and clusters selected using a friends-of-friends algorithm w...
[[abstract]]A new algorithm is developed, based on the friends-of-friends (FOF) algorithm, to identi...
Context. Galaxy groups and clusters are the main tools used to test cosmological models and to study...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
Aims. We have performed a detailed analysis of the ability of the friends-of-friends algorithm to id...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Red-shift Survey (...
The construction of a catalogue of galaxy groups from the Two-degree Field Galaxy Red-shift Survey (...
Aims. We extract groups of galaxies from the SDSS Data Release 5 to study the supercluster-void net...
8 pages, 5 figures, accepted in A&A, shortened abstractWe present an automated method to detect popu...