Year: 2012
Type: preprint
Abstract: In this work we introduce a new method to perform the identification of groups of galaxies and present results of the identification of galaxy groups in the Seventh Data Release of the Sloan Digital Sky Survey (SDSS-DR7). Our methodology follows an approach that resembles the standard friends-of-friends (FoF) method. However, it uses assumptions on the mass of the dark matter halo hosting a group of galaxies to link galaxies in the group using a local linking length. Our method does not assumes any ad-hoc parameter for the identification of groups, nor a linking length or a density threshold. This parameter-free nature of the method, and the robustness of its results, are the most important points of our work. We describe the data used for our study and give details of the implementation of the method. We obtain galaxy groups and halo catalogs for four volume limited samples whose properties are in good agreement with previous works. They reproduces the expected stellar mass functions and follow the expected stellar-halo mass relation. We found that most of the stellar content in groups of galaxies comes from objects with $M_r$ absolute magnitudes larger than -19, meaning that it is important to resolve the low luminosity components of groups of galaxies to acquire detailed information about their properties.
Source: arXiv (Cornell University)
Authors: Muñoz-Cuartas, J. C., Mueller, Volker
Institution: Leibniz Institute for Astrophysics Potsdam
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, U.S. Department of Energy, National Aeronautics and Space Administration, Alfred P. Sloan Foundation, Princeton University, University of Washington, Johns Hopkins University, University of Pittsburgh, New Mexico State University, Max-Planck-Gesellschaft, Max-Planck-Institut für Astronomie, U.S. Naval Observatory, Fermilab, Los Alamos National Laboratory
OpenAlex ID: W2273586166