Sussing merger trees: stability and convergence

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-...

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Main Authors: Wang, Yang, Pearce, Frazer R., Knebe, Alexander, Schneider, Aurel, Srisawat, Chaichalit, Tweed, Dylan, Jung, Intae, Han, Jiaxin, Helly, John, Onions, Julian, Elahi, Pascal J., Thomas, Peter A., Behroozi, Peter, Yi, Sukyoung K., Rodriguez-Gomez, Vicente, Mao, Yao-Yuan, Jing, Yipeng, Lin, Weipeng
Format: Article
Published: Oxford University Press 2016
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Online Access:https://eprints.nottingham.ac.uk/42481/
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author Wang, Yang
Pearce, Frazer R.
Knebe, Alexander
Schneider, Aurel
Srisawat, Chaichalit
Tweed, Dylan
Jung, Intae
Han, Jiaxin
Helly, John
Onions, Julian
Elahi, Pascal J.
Thomas, Peter A.
Behroozi, Peter
Yi, Sukyoung K.
Rodriguez-Gomez, Vicente
Mao, Yao-Yuan
Jing, Yipeng
Lin, Weipeng
author_facet Wang, Yang
Pearce, Frazer R.
Knebe, Alexander
Schneider, Aurel
Srisawat, Chaichalit
Tweed, Dylan
Jung, Intae
Han, Jiaxin
Helly, John
Onions, Julian
Elahi, Pascal J.
Thomas, Peter A.
Behroozi, Peter
Yi, Sukyoung K.
Rodriguez-Gomez, Vicente
Mao, Yao-Yuan
Jing, Yipeng
Lin, Weipeng
author_sort Wang, Yang
building Nottingham Research Data Repository
collection Online Access
description 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 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.
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spelling nottingham-424812020-05-04T17:39:55Z https://eprints.nottingham.ac.uk/42481/ Sussing merger trees: stability and convergence Wang, Yang Pearce, Frazer R. Knebe, Alexander Schneider, Aurel Srisawat, Chaichalit Tweed, Dylan Jung, Intae Han, Jiaxin Helly, John Onions, Julian Elahi, Pascal J. Thomas, Peter A. Behroozi, Peter Yi, Sukyoung K. Rodriguez-Gomez, Vicente Mao, Yao-Yuan Jing, Yipeng Lin, Weipeng 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 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. Oxford University Press 2016-03-30 Article PeerReviewed Wang, Yang, Pearce, Frazer R., Knebe, Alexander, Schneider, Aurel, Srisawat, Chaichalit, Tweed, Dylan, Jung, Intae, Han, Jiaxin, Helly, John, Onions, Julian, Elahi, Pascal J., Thomas, Peter A., Behroozi, Peter, Yi, Sukyoung K., Rodriguez-Gomez, Vicente, Mao, Yao-Yuan, Jing, Yipeng and Lin, Weipeng (2016) Sussing merger trees: stability and convergence. Monthly Notices of the Royal Astronomical Society, 459 (2). pp. 1554-1568. ISSN 1365-2966 methods: numerical galaxies: haloes– galaxies: evolution dark matter https://academic.oup.com/mnras/article-lookup/doi/10.1093/mnras/stw726 doi:10.1093/mnras/stw726 doi:10.1093/mnras/stw726
spellingShingle methods: numerical
galaxies: haloes– galaxies: evolution
dark matter
Wang, Yang
Pearce, Frazer R.
Knebe, Alexander
Schneider, Aurel
Srisawat, Chaichalit
Tweed, Dylan
Jung, Intae
Han, Jiaxin
Helly, John
Onions, Julian
Elahi, Pascal J.
Thomas, Peter A.
Behroozi, Peter
Yi, Sukyoung K.
Rodriguez-Gomez, Vicente
Mao, Yao-Yuan
Jing, Yipeng
Lin, Weipeng
Sussing merger trees: stability and convergence
title Sussing merger trees: stability and convergence
title_full Sussing merger trees: stability and convergence
title_fullStr Sussing merger trees: stability and convergence
title_full_unstemmed Sussing merger trees: stability and convergence
title_short Sussing merger trees: stability and convergence
title_sort sussing merger trees: stability and convergence
topic methods: numerical
galaxies: haloes– galaxies: evolution
dark matter
url https://eprints.nottingham.ac.uk/42481/
https://eprints.nottingham.ac.uk/42481/
https://eprints.nottingham.ac.uk/42481/