Documentation API of the 'jhpro.stat.CLimits' Java class
CLimits
jhpro.stat

Class CLimits



  • public class CLimitsextends Object
    Algorithm to compute 95% CL limits using the Likelihood ratio semi-Bayesian method. It takes signal, background and data histograms wrapped in a DataSource as input and runs a set of Monte Carlo experiments in order to compute the limits.

    When excluding new physics models, 95% CL exclusion is usually the criterion chosen, and one only has to compute CLs with enough precision to tell that an observed outcome is less probable than about 5% of the time assuming a signal is present. But forming discovery p-values, we must compute 1-CLb values of the order of 1 10^{-7}. This computation involves generating of the order of 1 10^{8} pseudoexperiments, just to be on the safe side. If needed, inputs are fluctuated according to systematics.

    Reference: HEP-EX/9902006. see: Tom Junk,NIM A434, p. 435-443, 1999 see http://root.cern.ch/root/doc/TomJunk.pdf

Warning: You cannot see the full API documentation of this class since the access to the DatMelt documentation for third-party Java classes is denied. Guests can only view jhplot Java API. To view the complete description of this class and its methods, please request the full DataMelt membership.

If you are already a full member, please login to the DataMelt member area before visiting this documentation.