pyemap.process_data.pathways_model

pyemap.process_data.pathways_model(dist, coef_alpha, exp_beta, r_offset)

Applies penalty function parameters and returns score.

\(\epsilon =\alpha \exp(-\beta(R-R_{offset}))\)

Parameters:

• dist (float) – Actual distance in angstroms

• coef_alpha (float) – Penalty function parameters

• exp_beta (float) – Penalty function parameters

• r_offset (float) – Penalty function parameters

Returns:

mod_penalty

Return type:

float