Prior probability

User can adjust lower and upper bounds of uniform prior probabilities via the parameters listed below.

Model parameter	Lower bound	Upper bound
# of layer	k_min	k_max
Layer bottom depth	z_min	z_max
Vs	vs_min	vs_max
Vp	vp_min	vp_max
Standard deviation of receiver function noise	sig_rf_min	sig_rf_max
Standard deviation of phase velocity noise	sig_c_min	sig_c_max
Standard deviation of group velocity noise	sig_u_min	sig_u_max

If solve_anomaly is true, Gaussian-type priors with zero-mean are assumed for the velocity anomalies. The standard deviation can be adjusted by the parameters below.

Model parameter	Standard deviation (km/s)
Vp anomaly	dvp_sig
Vs anomaly	dvs_sig