pygmm.baker_jayaram_2008.calc_cond_mean_spectrum

pygmm.baker_jayaram_2008.calc_cond_mean_spectrum(periods, ln_psas, ln_stds, period_cond, ln_psa_cond)[source]

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

Return type:

(<class ‘numpy.ndarray’>, <class ‘numpy.ndarray’>)