6533b7d0fe1ef96bd125b9f0

RESEARCH PRODUCT

Structure finding in cosmological simulations: the state of affairs

Frazer R. PearceDoug PotterPascal J. ElahiPascal J. ElahiMark C. NeyrinckH. LuxH. LuxStefan GottlöberFabrice RoyJulian OnionsJ. CasadoMarcel ZempJuerg DiemandVolker SpringelVolker SpringelBridget FalckJoachim StadelRosa Domínguez-tenreiroYago AscasibarPeter BehrooziPaul M. RickerAndrés N. RuizYann RaseraKlaus DolagManuel MerchánVicent QuilisMario Agustín SgróZarija LukićZarija LukićS. PlanellesJiaxin HanJiaxin HanJiaxin HanC. Corbett MoranAnatoly KlypinCameron K. McbrideCameron K. McbrideAlexander KnebeMichal MaciejewskiPaul M. SutterStuart I. MuldrewDylan Tweed

subject

Structure formationCosmology and Nongalactic Astrophysics (astro-ph.CO)Ciencias FísicasDark matterFOS: Physical sciencesAstrophysicsGALAXIES HALOESAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciences//purl.org/becyt/ford/1 [https]0103 physical sciencesGalaxy formation and evolutionStatistical physics010303 astronomy & astrophysicsGalaxy rotation curveComputingMilieux_MISCELLANEOUSPhysics[PHYS]Physics [physics]COSMIC cancer database010308 nuclear & particles physicsAstronomy and AstrophysicsObservable//purl.org/becyt/ford/1.3 [https]AstronomíaGravitational lensSpace and Planetary ScienceLUMINOSITY FUNCTIONHaloGALAXIES EVOLUTION[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]CIENCIAS NATURALES Y EXACTASAstrophysics - Cosmology and Nongalactic AstrophysicsGALAXIES STATISTICS

description

The ever increasing size and complexity of data coming from simulations of cosmic structure formation demands 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.

10.1093/mnras/stt1403https://hal.archives-ouvertes.fr/hal-02557919