TY - JOUR
T1 - Sussing merger trees
T2 - Stability and convergence
AU - Wang, Yang
AU - Pearce, Frazer R.
AU - Knebe, Alexander
AU - Schneider, Aurel
AU - Srisawat, Chaichalit
AU - Tweed, Dylan
AU - Jung, Intae
AU - Han, Jiaxin
AU - Helly, John C.
AU - Onions, Julian
AU - Elahi, Pascal J.
AU - Thomas, Peter A.
AU - Behroozi, Peter
AU - Yi, Sukyoung K.
AU - Rodriguez-Gomez, Vicente
AU - Mao, Yao Yuan
AU - Jing, Yipeng
AU - Lin, Weipeng
PY - 2016/6/21
Y1 - 2016/6/21
N2 - 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.
AB - 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.
KW - Dark matter
KW - Galaxies: Evolution
KW - galaxies: Haloes
KW - Methods: Numerical
UR - http://www.scopus.com/inward/record.url?scp=84974587942&partnerID=8YFLogxK
U2 - 10.1093/mnras/stw726
DO - 10.1093/mnras/stw726
M3 - Article
AN - SCOPUS:84974587942
SN - 0035-8711
VL - 459
SP - 1554
EP - 1568
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 2
ER -