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Astrophysics Source Code Library

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Searching for codes credited to 'Osato, Ken'

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Found 4 codes.

[ascl:2508.006] MPI-Rockstar: Hybrid MPI and OpenMP parallel implementation of Rockstar
The massively parallel halo finder MPI-Rockstar, based on the Rockstar (ascl:1210.008) phase-space temporal halo finder, is parallelized in a hybrid way using MPI and OpenMP, thus making it suitable for analysis on the hybrid shared and distributed memory environments of modern supercomputers. The implementation can analyze more than a trillion particles on more than 100,000 parallel processes. MPI-Rockstar also provides new functionality, which includes supporting HDF5 as an output format and output of additional halo properties such as the inertia tensor.
[ascl:2106.031] BiHalofit: Fitting formula of non-linear matter bispectrum
BiHalofit fits the matter bispectrum in the nonlinear regime calibrated by high-resolution cosmological N-body simulations of 41 cold dark matter models around the Planck 2015 best-fit parameters. The parameterization is similar to that in Halofit (ascl:1402.032). The simulation volume is sufficiently large to cover almost all measurable triangle bispectrum configurations in the universe, and the function is calibrated using one-loop perturbation theory at large scales. BiHaloFit predicts the weak-lensing bispectrum and will assist current and future weak-lensing surveys and cosmic microwave background lensing experiments.
[ascl:2103.009] DarkEmulator: Cosmological emulation code for halo clustering statistics
The cosmology code DarkEmulator calculates summary statistics of large scale structure constructed as a part of Dark Quest Project. The “dark_emulator” python package enables fast and accurate computations of halo clustering quantities. The code supports the halo mass function, halo-matter cross-correlation, and halo auto-correlation as a function of halo masses, redshift, separations and cosmological models.
[ascl:1810.011] Eclairs: Efficient Codes for the LArge scales of the unIveRSe
Eclairs calculates matter power spectrum based on standard perturbation theory and regularized pertubation theory. The codes are written in C++ with a python wrapper which is designed to be easily combined with MCMC samplers.