The MICE Grand Challenge Lightcone Simulation I: Dark matter clustering

By Pablo Fosalba, Martín Crocce, Enrique Gaztañaga, Francisco J. Castander. 2013

147 citations recorded by the source corpus.

ABSTRACT We present a new N-body simulation from the MICE collaboration, the MICEGrand Challenge (MICE-GC), containing about 70 billion dark-matter particles ina (3Gpc=h) 3 comoving volume. Given its large volume and ne spatial resolution,spanning over 5 orders of magnitude in dynamic range, it allows an accurate modelingof the growth of structure in the universe from the linear through the highly non-linearregime of gravitational clustering. We validate the dark-matter simulation outputsusing 3D and 2D clustering statistics, and discuss mass-resolution e ects in the non-linear regime by comparing to previous simulations and the latest numerical ts. Weshow that the MICE-GC run allows for a measurement of the BAO feature withpercent level accuracy and compare it to state-of-the-art theoretical models. We alsouse sub-arcmin resolution pixelized 2D maps of the dark-matter counts in the lightconeto make tomographic analyses in real and redshift space. Our analysis shows thesimulation reproduces the Kaiser e ect on large scales, whereas we nd a signi cantsuppression of power on non-linear scales relative to the real space clustering. Wecomplete our validation by presenting an analysis of the 3-point correlation functionin this and previous MICE simulations, nding further evidence for mass-resolutione ects. This is the rst of a series of 3 papers in which we present the MICE-GCend-to-end simulation, along with a wide (5000 sq.deg) and deep (z<1.4) mock galaxycatalog constructed using a hybrid Halo Occupation Distribution and Halo AbundanceMatching approach. Accompanying these papers, we make a rst public release ofthe MICE-GC lightcone galaxy mock (MICECAT v1.0) through a dedicated webportalfor simulations, http://cosmohub.pic.es, to help developing and exploiting the newgeneration of astronomical surveys.

Subfields: Astronomy and Astrophysics, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/a9552815d0d9092d8e11b7ba3359270628146c26

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Citations in the corpus

KiDS+VIKING-450 and DES-Y1 combined: Cosmology with cosmic shear (2019, background): “3 on mock catalogues created from the public MICE2 simulation (Fosalba et al. 2015; Crocce et al. 2015).”
Dark Energy Survey Year 1 results: measurement of the baryon acoustic oscillation scale in the distribution of galaxies to redshift 1 (2017, methodology): “However, the cosmology we use is matched to that of the Marenostrum Institut de Ciències de l’Espai (MICE) (Crocce et al. 2015; Fosalba et al. 2015a,b; Carretero et al. 2015) N-body simulation, which was used to calibrate the mock galaxy samples we employ to test and validate our methodology.”
Euclid preparation (2021, background): “They investigate the impact of catastrophic spec-z failures on the estimate of 〈z〉 (for KiDS cosmic shear analyses) in the MICE2 simulation (Fosalba et al. 2015).”
Matter power spectrum and the challenge of percent accuracy (2015, background): “Standard perturbation theory gives accurate results up to k ∼ 0.1 hMpc−1, while numerical simulations are indispensable at higher wave numbers (Carlson et al. 2009; Fosalba et al. 2015).”
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release (2015, background): “In fact, the number of current state-of-the-art large-volume N-body simulations is of order 10 (Kim et al. 2009; Alimi et al. 2012; Angulo et al. 2012; Prada et al. 2012; Fosalba et al. 2015; Ishiyama et al. 2015; Klypin et al. 2014; Skillman et al. 2014; Watson et al. 2014).”
KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data (2018, methodology): “We further test this by creating mock samples resembling our sources and the different spec-z calibration samples in the MICE simulation (Fosalba et al. 2015; Crocce et al. 2015; van den Busch et al. in prep.).”
The MICE Grand Challenge lightcone simulation – II. Halo and galaxy catalogues (2013, methodology): “As a further validation, we have compared the clustering in our catalogue to the one in the CMASS sample of the SDSS-III BOSS survey, on BAO scales.”