  This paper presents the application, testing and first results of a new
adaptive Bayesian inference analysis which utilises conventional and ultrafast
spectroscopic measurements made in the divertor chamber to investigate the
divertor physics during detachment. Validation of this software is performed
prior and during analyses of results, demonstrated by compelling reproductions
of ideal test cases and synthetic spectroscopic measurements. Application on
real diagnostic data shows strong agreement with results from previous analysis
methods. We identify unprecedented success in significant advances in time and
computational efficiencies. We demonstrate a $\lesssim$1000$\times$ reduction
in analysis time for spectroscopic measurements from simulated and real Super-X
configurations, with the analysis technique presented in this report completing
in <3 minutes. Analysis of synthetic and real diagnostic measurements
identifies detachment physics in agreement with previous literature.
