H. Bindslev, Methods for optimizing and assessing diagnostic capability, demonstrated for collective Thomson scattering (invited), REV SCI INS, 70(1), 1999, pp. 1093-1099
Commonly diagnostic systems are sensitive to a wide range of parameters, on
ly a subset of which are parameters of interest. Optimal analysis and asses
sment of diagnostic capability must take account of the sensitivity to the
remaining nuisance parameters which may not be accurately known. New least
squares type methods of inference in the presence of uncertain nuisance par
ameters have been developed, along with methods for assessing diagnostic ca
pability and identifying critical nuisance parameter uncertainties. These m
ethods are of a general nature and suitable for complex and computationally
demanding forward models. They are demonstrated by application to collecti
ve Thomson scattering for fast ion diagnosis in fusion plasmas. (C) 1999 Am
erican Institute of Physics. [S0034-6748(99)71101-9].