4.7 Article

SUSSING MERGER TREES: the influence of the halo finder

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 441, Issue 4, Pages 3488-3501

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stu799

Keywords

methods: numerical; galaxies: evolution; galaxies: haloes; dark matter

Funding

  1. European Commission through Marie Curie Initial Training Network CosmoComp [PITN-GA-2009-238356]
  2. Universidad Autonoma de Madrid
  3. University of Western Australia
  4. Ministerio de Economia y Competitividad (MINECO) in Spain [AYA2012-31101]
  5. Spanish Ministerio de Ciencia e Innovacion (MICINN) [CSD2009-00064]
  6. Australian Research Council (ARC) [DP130100117, DP140100198]
  7. Giacconi Fellowship through Space Telescope Science Institute under NASA [NAS5-26555]
  8. SSimPL programme
  9. Sydney Institute for Astronomy (SIfA)
  10. STFC
  11. The Development and Promotion of Science and Technology Talents Project (DPST), Thailand
  12. Science and Technology Facilities Council [ST/I000976/1]
  13. Weiland Family Stanford Graduate Fellowship
  14. [AYA2009-13936-C06-06]
  15. [FPA2012-39684-C03-02]
  16. [SEV-2012-0249]
  17. STFC [ST/L000652/1, ST/L000695/1, ST/I000976/1] Funding Source: UKRI
  18. Science and Technology Facilities Council [ST/L000695/1, ST/I000976/1, ST/L000652/1] Funding Source: researchfish

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Merger tree codes are routinely used to follow the growth and merger of dark matter haloes in simulations of cosmic structure formation. Whereas in Srisawat et. al. we compared the trees built using a wide variety of such codes, here we study the influence of the underlying halo catalogue upon the resulting trees. We observe that the specifics of halo finding itself greatly influences the constructed merger trees. We find that the choices made to define the halo mass are of prime importance. For instance, amongst many potential options different finders select self-bound objects or spherical regions of defined overdensity, decide whether or not to include substructures within the mass returned and vary in their initial particle selection. The impact of these decisions is seen in tree length (the period of time a particularly halo can be traced back through the simulation), branching ratio (essentially the merger rate of subhaloes) and mass evolution. We therefore conclude that the choice of the underlying halo finder is more relevant to the process of building merger trees than the tree builder itself. We also report on some built-in features of specific merger tree codes that (sometimes) help to improve the quality of the merger trees produced.

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