Merger trees are routinely used to follow the growth and merging history of dark matter haloes and subhaloes in simulations of cosmic structure formation. Srisawat et al. compared a wide range of merger-tree-building codes. Here we test the influence of output strategies and mass resolution on tree-building. We find that, somewhat surprisingly, building the tree from more snapshots does not generally produce more complete trees; instead, it tends to shorten them. Significant improvements are seen for patching schemes that attempt to bridge over occasional dropouts in the underlying halo catalogues or schemes that combine the halo-finding and tree-building steps seamlessly. The adopted output strategy does not affect the average number of br...
We present a new Monte Carlo algorithm to generate merger trees describing the formation history of ...
We present an algorithm for generating merger histories of dark matter haloes. The algorithm is base...
Tracking the formation and evolution of dark matter haloes is a critical aspect of any analysis of c...
Merger trees are routinely used to follow the growth and merging history of dark matter haloes and s...
Merger tree codes are routinely used to follow the growth and merger of dark matter haloes in simula...
Merger trees follow the growth and merger of dark-matter haloes over cosmic history. As well as givi...
A halo merger tree forms the essential backbone of a semi-analytic model for galaxy formation and ev...
Context. In the past decade or so, using numerical N-body simulations to describe the gravitational...
Context. In the past decade or so, using numerical N-body simulations to describe the gravitational ...
International audienceContext: In the past decade or so, using numerical N-body simulations to descr...
Although a fair amount of work has been devoted to growing Monte-Carlo merger trees which resemble t...
When following the growth of structure in the Universe, we propose replacing merger trees with merge...
Dark matter halo merger trees are now routinely extracted from cosmological simula-tions of structur...
Dark matter halo merger trees are now routinely extracted from cosmological simulations of structure...
We present a new Monte Carlo algorithm to generate merger trees describing the formation history of ...
We present an algorithm for generating merger histories of dark matter haloes. The algorithm is base...
Tracking the formation and evolution of dark matter haloes is a critical aspect of any analysis of c...
Merger trees are routinely used to follow the growth and merging history of dark matter haloes and s...
Merger tree codes are routinely used to follow the growth and merger of dark matter haloes in simula...
Merger trees follow the growth and merger of dark-matter haloes over cosmic history. As well as givi...
A halo merger tree forms the essential backbone of a semi-analytic model for galaxy formation and ev...
Context. In the past decade or so, using numerical N-body simulations to describe the gravitational...
Context. In the past decade or so, using numerical N-body simulations to describe the gravitational ...
International audienceContext: In the past decade or so, using numerical N-body simulations to descr...
Although a fair amount of work has been devoted to growing Monte-Carlo merger trees which resemble t...
When following the growth of structure in the Universe, we propose replacing merger trees with merge...
Dark matter halo merger trees are now routinely extracted from cosmological simula-tions of structur...
Dark matter halo merger trees are now routinely extracted from cosmological simulations of structure...
We present a new Monte Carlo algorithm to generate merger trees describing the formation history of ...
We present an algorithm for generating merger histories of dark matter haloes. The algorithm is base...
Tracking the formation and evolution of dark matter haloes is a critical aspect of any analysis of c...