Sussing merger trees: Stability and convergence

Yang Wang, Frazer R. Pearce, Alexander Knebe, Aurel Schneider, Chaichalit Srisawat, Dylan Tweed, Intae Jung, Jiaxin Han, John C. Helly, Julian Onions, Pascal J. Elahi, Peter A. Thomas, Peter Behroozi, Sukyoung K. Yi, Vicente Rodriguez-Gomez, Yao Yuan Mao, Yipeng Jing, Weipeng Lin

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)

    Abstract

    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 treebuilding steps seamlessly. The adopted output strategy does not affect the average number of branches (bushiness) of the resultant merger trees. However, mass resolution has an influence on both main branch length and the bushiness. As the resolution increases, a halo with the same mass can be traced back further in time and will encounter more small progenitors during its evolutionary history. Given these results, we recommend that, for simulations intended as precursors for galaxy formation models where of the order of 100 or more snapshots are analysed, the tree-building routine should be integrated with the halo finder, or at the very least be able to patch over multiple adjacent snapshots.

    Original languageEnglish
    Pages (from-to)1554-1568
    Number of pages15
    JournalMonthly Notices of the Royal Astronomical Society
    Volume459
    Issue number2
    DOIs
    Publication statusPublished - 21 Jun 2016

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