DEMNUni: comparing nonlinear power spectra prescriptions in the presence of massive neutrinos and dynamical dark energy
G. Parimbelli, C. Carbone, J. Bel, B. Bose, M. Calabrese, E. Carella,, M. Zennaro

TL;DR
This paper evaluates various nonlinear matter power spectrum models against large N-body simulations in cosmologies with massive neutrinos and dynamical dark energy, highlighting the accuracy and limitations of current prescriptions.
Contribution
It provides a comprehensive comparison of existing nonlinear power spectrum models, identifying the most accurate approaches for complex cosmological scenarios involving massive neutrinos and dark energy.
Findings
HMcode and ReACT outperform HALOFIT with 2% accuracy.
EuclidEmulator2 matches simulations within 1% at low redshift.
Most models improve agreement in massive neutrino cosmologies at z=0.
Abstract
We provide an accurate comparison, against large cosmological -body simulations, of different prescriptions for modelling nonlinear matter power spectra in the presence of massive neutrinos and dynamical dark energy. We test the current most widely used approaches: fitting functions (HALOFIT and HMcode), the halo-model reaction (ReACT) and emulators (baccoemu and EuclidEmulator2). Focussing on redshifts and scales Mpc (where the simulation mass resolution provides accuracy), we find that HMcode and ReACT considerably improve over the HALOFIT prescriptions of Smith and Takahashi (both combined with the Bird correction), with an overall agreement of 2\% for all the cosmological scenarios considered. Concerning emulators, we find that, especially at low redshifts, EuclidEmulator2 remarkably agrees with the simulated spectra at level…
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