Journal article
The Gigaparsec WiggleZ simulations: Characterizing scale-dependant bias and associated systematics in growth of structure measurements
GB Poole, C Blake, FA Marín, C Power, SJ Mutch, DJ Croton, M Colless, W Couch, MJ Drinkwater, K Glazebrook
Monthly Notices of the Royal Astronomical Society | Published : 2015
DOI: 10.1093/mnras/stv314
Abstract
We present the Gigaparsec WiggleZ simulation suite and use this resource to characterize galaxy bias and its scale dependence for a range of redshifts and halo masses in a standard Λ cold dark matter cosmology. Under the ansatz that bias converges to a scale-independent form at large scales, we develop an eight-parameter phenomenological model which fully expresses the mass and redshift dependence of bias and its scale dependence in real- or redshift space. This is then used to illustrate how scale-dependent bias can systematically skew measurements of the growth rate of cosmic structure obtained from redshift-space distortion measurements. When data is fit only to scales kmax ≤ 0.1 [h-1 Mpc..
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Awarded by St. Jude Medical
Funding Acknowledgements
We would like to thank Volker Springel for making GADGET-2 publicly available and for permitting us to use his halo-finding code (SUBFIND) and Aaron Ludlow for useful comments. We would also like to thank Swinburne University for its generous allocation of computing time (on the Green and gSTAR facilities) for this project, Jarrod Hurley and the Green Machine Help Desk for their computing support, and the Green Machine user community for patiently waiting while the GiggleZ-main simulation kept them from their work. We acknowledge financial support from the Australian Research Council through Discovery Project grants DP0772084 and DP1093738. GBP and SJM acknowledge support from the ARC Laureate programme of Stuart Wyithe. CB and CP acknowledge the support of the Australian Research Council through the award of a Future Fellowship. DJC acknowledges the support of an Australian Research Council QEII Fellowship.