PHANTOM is a public MATLAB/Octave toolbox for linear field statistics and halo observables in dark matter cosmology, validated to sub-percent agreement with Python packages colossus, hmf, and halomod.
2014b, Phys
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Simulations show fuzzy dark matter fraction up to 0.3 suppresses low-mass halos in mixed DM models, and a redshift- and fraction-dependent suppression function maps CDM HMFs to MDM HMFs within 0.1-0.2 dex accuracy for z=1-4.
Review of fuzzy dark matter simulation techniques including governing equations, wave- and fluid-based algorithms, test problems, and public initial condition files for code benchmarking.
citing papers explorer
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PHANTOM: A MATLAB and Octave Toolbox Connecting Linear Field Statistics to Dark Matter Halo Observables
PHANTOM is a public MATLAB/Octave toolbox for linear field statistics and halo observables in dark matter cosmology, validated to sub-percent agreement with Python packages colossus, hmf, and halomod.
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Halo mass functions in mixed cold and fuzzy dark matter models
Simulations show fuzzy dark matter fraction up to 0.3 suppresses low-mass halos in mixed DM models, and a redshift- and fraction-dependent suppression function maps CDM HMFs to MDM HMFs within 0.1-0.2 dex accuracy for z=1-4.
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Fuzzy dark matter simulations
Review of fuzzy dark matter simulation techniques including governing equations, wave- and fluid-based algorithms, test problems, and public initial condition files for code benchmarking.