Dear Rooters, A new set of classes by Christophe.Delaere@cern.ch to compute 95% Cl has been introduced in the development version in CVS. These classes have been adapted by Christophe from the MCLIMIT code by Tom Junk. class TLimit ------------ Algorithm to compute 95% C.L. limits using the Likelihood ratio semi-bayesian method. It takes signal, background and data histograms wrapped in a TLimitDataSource as input and runs a set of Monte Carlo experiments in order to compute the limits. If needed, inputs are fluctuated according to systematics. The output is a TConfidenceLevel. class TLimitDataSource ---------------------- Takes the signal, background and data histograms as well as different systematics sources to form the TLimit input. class TConfidenceLevel ---------------------- Final result of the TLimit algorithm. It is created just after the time-consuming part and can be stored in a TFile for further processing. It contains light methods to return CLs, CLb and other interesting quantities. A new tutorial at $ROOTSYS/tutorials/limit.C illustrates the use of these new classes. Many thanks to Christophe for this interesting contribution. Rene Brun
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