BE-HaPPY: Bias Emulator for Halo Power Spectrum including massive neutrinos. (arXiv:1901.06045v1 [astro-ph.CO])
<a href="http://arxiv.org/find/astro-ph/1/au:+Valcin_D/0/1/0/all/0/1">David Valcin</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Villaescusa_Navarro_F/0/1/0/all/0/1">Francisco Villaescusa-Navarro</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Verde_L/0/1/0/all/0/1">Licia Verde</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Raccanelli_A/0/1/0/all/0/1">Alvise Raccanelli</a>

We study the clustering properties of dark matter halos in real- and
redshift-space in cosmologies with massless and massive neutrinos through a
large set of state-of-the-art N-body simulations. We provide quick and
easy-to-use prescriptions for the halo bias on linear and mildly non-linear
scales, both in real and redshift space, which are valid also for massive
neutrinos cosmologies. Finally we present a halo bias
emulator,$textbf{BE-HaPPY}$, calibrated on the N-body simulations, which is
fast enough to be used in the standard Markov Chain Monte Carlo approach to
cosmological inference. For a fiducial standard $Lambda$CDM cosmology
$textbf{BE-HaPPY}$ provides percent or sub-percent accuracy on the scales of
interest (linear and well into the mildly non-linear regime), meeting therefore
for the halo-bias the accuracy requirements for the analysis of next-generation
large–scale structure surveys.

We study the clustering properties of dark matter halos in real- and
redshift-space in cosmologies with massless and massive neutrinos through a
large set of state-of-the-art N-body simulations. We provide quick and
easy-to-use prescriptions for the halo bias on linear and mildly non-linear
scales, both in real and redshift space, which are valid also for massive
neutrinos cosmologies. Finally we present a halo bias
emulator,$textbf{BE-HaPPY}$, calibrated on the N-body simulations, which is
fast enough to be used in the standard Markov Chain Monte Carlo approach to
cosmological inference. For a fiducial standard $Lambda$CDM cosmology
$textbf{BE-HaPPY}$ provides percent or sub-percent accuracy on the scales of
interest (linear and well into the mildly non-linear regime), meeting therefore
for the halo-bias the accuracy requirements for the analysis of next-generation
large–scale structure surveys.

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