TY - JOUR
T1 - Structure finding in cosmological simulations
T2 - The state of affairs
AU - Knebe, Alexander
AU - Pearce, Frazer R.
AU - Lux, Hanni
AU - Ascasibar, Yago
AU - Behroozi, Peter
AU - Casado, Javier
AU - Moran, Christine Corbett
AU - Diemand, Juerg
AU - Dolag, Klaus
AU - Dominguez-Tenreiro, Rosa
AU - Elahi, Pascal
AU - Falck, Bridget
AU - Gottlöber, Stefan
AU - Han, Jiaxin
AU - Klypin, Anatoly
AU - Lukić, Zarija
AU - Maciejewski, Michal
AU - McBride, Cameron K.
AU - Merchán, Manuel E.
AU - Muldrew, Stuart I.
AU - Neyrinck, Mark
AU - Onions, Julian
AU - Planelles, Susana
AU - Potter, Doug
AU - Quilis, Vicent
AU - Rasera, Yann
AU - Ricker, Paul M.
AU - Roy, Fabrice
AU - Ruiz, Andrés N.
AU - Sgró, Mario A.
AU - Springel, Volker
AU - Stadel, Joachim
AU - Sutter, P. M.
AU - Tweed, Dylan
AU - Zemp, Marcel
PY - 2013/10
Y1 - 2013/10
N2 - The ever increasing size and complexity of data coming from simulations of cosmic structure formation demand equally sophisticated tools for their analysis. During the past decade, the art of object finding in these simulations has hence developed into an important discipline itself. A multitude of codes based upon a huge variety of methods and techniques have been spawned yet the question remained as to whether or not they will provide the same (physical) information about the structures of interest. Here we summarize and extent previous work of the 'halo finder comparison project': we investigate in detail the (possible) origin of any deviations across finders. To this extent, we decipher and discuss differences in halo-finding methods, clearly separating them from the disparity in definitions of halo properties. We observe that different codes not only find different numbers of objects leading to a scatter of up to 20 per cent in the halo mass and Vmax function, but also that the particulars of those objects that are identified by all finders differ. The strength of the variation, however, depends on the property studied, e.g. the scatter in position, bulk velocity, mass and the peak value of the rotation curve is practically below a few per cent, whereas derived quantities such as spin and shape show larger deviations. Our study indicates that the prime contribution to differences in halo properties across codes stems from the distinct particle collection methods and - to a minor extent - the particular aspects of how the procedure for removing unbound particles is implemented. We close with a discussion of the relevance and implications of the scatter across different codes for other fields such as semi-analytical galaxy formation models, gravitational lensing and observables in general.
AB - The ever increasing size and complexity of data coming from simulations of cosmic structure formation demand equally sophisticated tools for their analysis. During the past decade, the art of object finding in these simulations has hence developed into an important discipline itself. A multitude of codes based upon a huge variety of methods and techniques have been spawned yet the question remained as to whether or not they will provide the same (physical) information about the structures of interest. Here we summarize and extent previous work of the 'halo finder comparison project': we investigate in detail the (possible) origin of any deviations across finders. To this extent, we decipher and discuss differences in halo-finding methods, clearly separating them from the disparity in definitions of halo properties. We observe that different codes not only find different numbers of objects leading to a scatter of up to 20 per cent in the halo mass and Vmax function, but also that the particulars of those objects that are identified by all finders differ. The strength of the variation, however, depends on the property studied, e.g. the scatter in position, bulk velocity, mass and the peak value of the rotation curve is practically below a few per cent, whereas derived quantities such as spin and shape show larger deviations. Our study indicates that the prime contribution to differences in halo properties across codes stems from the distinct particle collection methods and - to a minor extent - the particular aspects of how the procedure for removing unbound particles is implemented. We close with a discussion of the relevance and implications of the scatter across different codes for other fields such as semi-analytical galaxy formation models, gravitational lensing and observables in general.
KW - Cosmology: theory
KW - Dark matter
KW - Galaxies: evolution
KW - Galaxies: haloes
KW - Galaxies: luminosity function, mass function
KW - Galaxies: statistics
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U2 - 10.1093/mnras/stt1403
DO - 10.1093/mnras/stt1403
M3 - Article
AN - SCOPUS:84884807631
SN - 0035-8711
VL - 435
SP - 1618
EP - 1658
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 2
ER -