Interactions among the multiple degrees of freedom of surfactant molecules
cause fascinating richness in the structure of their monolayers. Beyond thi
s scientific motivation for studying surfactant monolayers, the technologic
al use of monolayers for interfacial control and molecular assembly demands
a clear understanding of monolayer structure. X-ray and neutron reflectivi
ty have become prime techniques for determining this structure. We present
x-ray reflectivity data for a representative surfactant monolayer system an
d outline an objective procedure for obtaining the maximum amount of struct
ural information possible. Our approach combines tight control of instrumen
tal parameters, dynamically optimized Monte Carlo and simulated annealing t
o probe the chi(2) hypersurface, and a set of statistical criteria for acce
pting and rejecting fits. We justify our procedure through tests using simu
lated data. Results indicate that an ensemble of fits must be performed for
each set of reflectivity data in order to survey the chi(2) hypersurface a
dequately. A single good fit may yield structural parameters which are quit
e misleading, yet physically plausible. Thus, one must never be satisfied w
ith performing just a single fit. In cases for which multiple, statisticall
y equivalent fits are obtained, the apparent ambiguity is substantially mit
igated by averaging the parameters over the ensemble of good fits. We also
introduce a method of dealing with cases for which a good fit may be extrem
ely difficult to find. Our analysis procedures can be generalized to other
monolayer or multilayer systems and are also applicable to neutron reflecti
vity.