L-PICOLA: A parallel code for fast dark matter simulation

摘要: Abstract Robust measurements based on current large-scale structure surveys require precise knowledge of statistical and systematic errors. This can be obtained from large numbers realistic mock galaxy catalogues that mimic the observed distribution galaxies within survey volume. To this end we present a fast, distributed-memory, planar-parallel code, l-picola , which used to generate evolve set initial conditions into dark matter field much faster than full non-linear N -Body simulation. Additionally, has ability include primordial non-Gaussianity in simulation simulate past lightcone at run-time, with optional replication Through comparisons fully simulations find our code reproduce z = 0 power spectrum reduced bispectrum 2% 5% respectively all scales interest Baryon Acoustic Oscillations Redshift Space Distortions, but 3 orders magnitude faster. The accuracy, speed scalability alongside additional features have implemented, make it extremely useful for both next generation surveys. is publicly available https://cullanhowlett.github.io/l-picola .