MieLambdaR

class MieLambdaR : public feasst::ModelParam

The mie_lambda_r parameter has the default mixing rule: \( \lambda_{r,ij} - 3 = \sqrt{(\lambda_{r,ii} - 3)(\lambda_{r,jj}-3)} \)

class MieLambdaA : public feasst::ModelParam

The mie_lambda_a parameter has the default mixing rule: \( \lambda_{a,ij} - 3 = \sqrt{(\lambda_{a,ii} - 3)(\lambda_{a,jj}-3)} \)

class MiePrefactor : public feasst::ModelParam

The mie_prefactor parameter is given by

\( \epsilon n/(n-m)(n/m)^{m/(n-m)} \)

where n and m are mie_lambda_r and mie_lambda_a, respectively. These are precomputed and do not need to be entered manually but are instead precomputed and stored for optimization.