2009
DOI: 10.1088/0067-0049/182/2/608
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Ahf: Amiga's Halo Finder

Abstract: Cosmological simulations are the key tool for investigating the different processes involved in the formation of the universe from small initial density perturbations to galaxies and clusters of galaxies observed today. The identification and analysis of bound objects, halos, is one of the most important steps in drawing useful physical information from simulations. In the advent of larger and larger simulations, a reliable and parallel halo finder, able to cope with the ever-increasing data files, is a must. … Show more

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Cited by 838 publications
(779 citation statements)
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References 47 publications
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“…The simulations are performed with PKDGRAV2 (Stadel 2001), applying a standard force softening of 1/50 times the mean particle separation. For the halo finding, we use AHF with particle unbinding and an over-density criterion corresponding to spherical tophat collapse (Gill et al 2004;Knollmann & Knebe 2009). A list summarising the main characteristics of the simulations is given in Table 1.…”
Section: Numerical Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The simulations are performed with PKDGRAV2 (Stadel 2001), applying a standard force softening of 1/50 times the mean particle separation. For the halo finding, we use AHF with particle unbinding and an over-density criterion corresponding to spherical tophat collapse (Gill et al 2004;Knollmann & Knebe 2009). A list summarising the main characteristics of the simulations is given in Table 1.…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…Since standard mergertree codes require the same particle numbers between analysed snapshots, we formally increase the particle number of the LR output by splitting every LR particle into n particles corresponding to the HR particles of the same phase-space volume. This simple trick allows us to use the publicly available code MergerTree (out of the AHF-package, Knollmann & Knebe 2009) to calculate the number of shared particles between all haloes in the LR and HR simulations. This then trivially leads to the merit function of Eq.…”
Section: Removing Artefactsmentioning
confidence: 99%
“…Instead of reinventing the wheel, we use the AMIGA Halo Finder (AHF) to calculate these halo properties [30,31]. AHF identifies halos by using the spherical overdensity algorithm.…”
Section: Halo Propertiesmentioning
confidence: 99%
“…The simulation includes all the standard processes of star formation and its associated metal production and feedback using the prescription of Springel & Hernquist (2003), assuming a Salpeter (Salpeter 1955) initial mass function (IMF) between 0.1 − 100M . Bound structures of more than 20 to- tal (Dark Matter, gas and star) particles are recognised as galaxies using the Amiga Halo Finder (AHF; Knollmann & Knebe 2009). Of all these galaxies, we only use "resolved" galaxies that are complete in the halo mass function in all our calculations -these consist of at least 160 (10) gas (star) particles and have a halo mass M h > ∼ 10 9.2 M .…”
Section: The Modelmentioning
confidence: 99%