py21cmmc.likelihood.Likelihood1DPowerCoeval.compute_power#

static Likelihood1DPowerCoeval.compute_power(brightness_temp, L, n_psbins, log_bins=True, ignore_kperp_zero=True, ignore_kpar_zero=False, ignore_k_zero=False)[source]#

Compute power spectrum from coeval box.

Parameters:

  • brightness_temp (py21cmfast.BrightnessTemp instance) – The brightness temperature coeval box.

  • L (float) – Size of the coeval cube along a side, in Mpc.

  • n_psbins (int) – Number of power spectrum bins to return.

  • log_bins (bool, optional) – Whether the bins are regular in log-space.

  • ignore_kperp_zero (bool, optional) – Whether to ignore perpendicular k=0 modes when performing spherical average.

  • ignore_kpar_zero (bool, optoinal) – Whether to ignore parallel k=0 modes when performing spherical average.

  • ignore_k_zero (bool, optional) – Whether to ignore the |k|=0 mode when performing spherical average.

Returns:

  • power (ndarray) – The power spectrum as a function of k

  • k (ndarray) – The centres of the k-bins defining the power spectrum.