Sussing merger trees: Stability and convergence

Yang Wang, Frazer R. Pearce, Alexander Knebe, Aurel Schneider, Chaichalit Srisawat, Dylan Tweed, Intae Jung, Jiaxin Han, John 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

13 Citations (Scopus)


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
Issue number2
Publication statusPublished - 2016 Jun 21

Bibliographical note

Publisher Copyright:
© 2016 The Authors.

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science


Dive into the research topics of 'Sussing merger trees: Stability and convergence'. Together they form a unique fingerprint.

Cite this