Simulating the Universe with MICE: The abundance of massive clusters
Martin Crocce, Pablo Fosalba, Francisco J. Castander, Enrique, Gaztanaga (Institut de Ciencies de l'Espai, IEEC-CSIC)

TL;DR
The MICE simulations provide extensive data on the universe's large-scale structure, revealing that existing halo mass function fits underestimate massive cluster abundance, and offering a new calibrated model to improve cosmological parameter estimates.
Contribution
We present a new set of large N-body simulations with calibrated halo mass functions that improve accuracy in modeling massive galaxy clusters for cosmological studies.
Findings
Existing fits underestimate high-mass halo abundance by up to 30%.
Re-calibrated halo mass function matches data across 5 orders of magnitude.
Using current fits can bias dark energy parameter estimates by up to 50%.
Abstract
We introduce a new set of large N-body runs, the MICE simulations, that provide a unique combination of very large cosmological volumes with good mass resolution. They follow the gravitational evolution of ~ 8.5 billion particles (2048^3) in volumes covering up to 450 (Gpc/h)^3. Our main goal is to accurately model and calibrate basic cosmological probes that will be used by upcoming astronomical surveys. Here we take advantage of the very large volumes of MICE to make a robust sampling of the high-mass tail of the halo mass function (MF). We discuss and avoid possible systematic effects in our study, and do a detailed analysis of different error estimators. We find that available fits to the local abundance of halos (Warren et al. (2006)) match well the abundance in MICE up to M ~ 10^{14}\Msun, but significantly deviate for larger masses, underestimating the mass function by 10% (30%)…
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