grf
- selfisys.grf.primordial_grf(L, N, seedphases, fname_powerspectrum, fname_outputinitialdensity, force_sim=False, return_g=False, verbose=0)[source]
Generate a Gaussian random field from a specified input power spectrum.
- Parameters:
L (float) – Side length of the simulation box in Mpc/h.
N (int) – Grid resolution (number of cells per dimension).
seedphases (int) – Seed for random phase generation (for reproducibility).
fname_powerspectrum (str) – File path to the input power spectrum.
fname_outputinitialdensity (str) – File path to store the generated initial density field.
force_sim (bool, optional) – If True, regenerate the GRF even if the output file exists. Default is False.
return_g (bool, optional) – If True, return the GRF as a numpy array. Default is False.
verbose (int, optional) – Verbosity level (0 = silent, 1 = progress, 2 = detailed). Default is 0.
- Raises:
OSError – If the power spectrum file cannot be read.
RuntimeError – If an unexpected error occurs during power spectrum reading.
- Returns:
The GRF data if return_g is True, otherwise None.
- Return type:
numpy.ndarray or None