pygmm.baker_jayaram_2008.calc_cond_mean_spectrum

pygmm.baker_jayaram_2008.calc_cond_mean_spectrum(periods: ~typing.Union[~typing.List[float], ~numpy.ndarray], ln_psas: ~typing.Union[~typing.List[float], ~numpy.ndarray], ln_stds: ~typing.Union[~typing.List[float], ~numpy.ndarray], period_cond: float, ln_psa_cond: float) -> (<class 'numpy.ndarray'>, <class 'numpy.ndarray'>)[source]

Conditional mean spectrum by Baker & Jayaram (2008, []).

Parameters

  • periods (array_like) – Response spectral periods.

  • ln_psas (array_like) – Natural logarithm of the 5%-damped spectral accelerations.

  • ln_stds (array_like) – Logarithmic standard deviations.

  • period_cond (float) – Conditioning period. This period does not need to be included in periods.

  • ln_psa_cond (float) – Natural logarithm of the response at the conditioning period.

Returns

  • ln_psas_cms (np.ndarray) – Natural logarithm of the conditional mean spectral accelerations.

  • ln_stds_cms (np.ndarray) – Logarithmic standard deviation of the conditional mean spectral acceleration.