A one-loop EFT power spectrum model for FRB free-electron clustering matches FLAMINGO simulations to k ~ 0.2 h/Mpc, with electron bias b_e ~ 0.92 and near-perfect electron-matter correlation.
SOAP: A Python Package for Calculating the Properties of Galaxies and Halos Formed in Cosmological Simulations
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abstract
Modern large scale cosmological hydrodynamic simulations require robust tools capable of analysing their data outputs in a parallel and efficient manner. We introduce SOAP (Spherical Overdensity and Aperture Processor), a Python package designed to compute halo and galaxy properties from SWIFT simulations after being post-processed with a subhalo finder. SOAP takes a subhalo catalogue as input and calculates a wide array of properties for each object. SOAP offers parallel processing capabilities via mpi4py for efficient handling of large datasets, and allows for consistent property calculation across multiple halo finders. SOAP supports various halo definitions, including spherical overdensities and fixed physical apertures, providing flexibility for diverse observational comparisons. The package is compatible with both dark matter-only and full hydrodynamic simulations, producing HDF5 catalogues that are integrated with the swiftsimio package for seamless unit handling.
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astro-ph.CO 1years
2026 1verdicts
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The One-Loop Power Spectrum of Fast Radio Burst Dispersion Measures
A one-loop EFT power spectrum model for FRB free-electron clustering matches FLAMINGO simulations to k ~ 0.2 h/Mpc, with electron bias b_e ~ 0.92 and near-perfect electron-matter correlation.