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19 papers · 2 filters
Large-scale dark matter simulations
Raul E. Angulo, Oliver Hahn
We review the field of collisionless numerical simulations for the large-scale structure of the Universe. We start by providing the main set of equations solved by these simulation…
Covariance matrices for variance-suppressed simulations
Tony Zhang, Chia-Hsun Chuang, Risa H. Wechsler +9
Cosmological -body simulations provide numerical predictions of the structure of the Universe against which to compare data from ongoing and future surveys, but the growing volu…
Machine learning synthetic spectra for probabilistic redshift estimation: SYTH-Z
Nesar Ramachandra, Jonás Chaves-Montero, Alex Alarcon +3
Photometric redshift estimation algorithms are often based on representative data from observational campaigns. Data-driven methods of this type are subject to a number of potentia…
Simulating the complexity of the dark matter sheet II: halo and subhalo mass functions for non-cold dark matter models
Jens Stücker, Raul E. Angulo, Oliver Hahn +1
We present "sheet+release" simulations that reliably follow the evolution of dark matter structure at and below the dark matter free-streaming scale, where instabilities in traditi…
Priors on Lagrangian bias parameters from galaxy formation modelling
Matteo Zennaro, Raul E. Angulo, Sergio Contreras +2
We study the relations among the parameters of the hybrid Lagrangian bias expansion model, fitting biased auto and cross power spectra up to $k_{\rm max} = 0.7 \, h \, \mathrm{Mpc}…
Modelling galaxy clustering in redshift space with a Lagrangian bias formalism and -body simulations
Marcos Pellejero-Ibanez, Jens Stuecker, Raul E. Angulo +3
Improving the theoretical description of galaxy clustering on small scales is an important challenge in cosmology, as it can considerably increase the scientific return of forthcom…