Speaker
M.G. Pia
(INFN GENOVA)
Description
Statistical methods play a significant role throughout the life-
cycle of HEP experiments, being an essential component of physics
analysis. We present a project in progress for the development of
an object-oriented software toolkit for statistical data analysis.
More in particular, the Statistical Comparison component of the
toolkit provides algorithms for the comparison of data distributions
in a variety of use cases typical of HEP experiments, as regression
testing (in various phases of the software life-cycle), validation
of simulation through comparison to experimental data, comparison of
expected versus reconstructed distributions, comparison of data from
different sources - such as different sets of experimental data, or
experimental with respect to theoretical distributions. The toolkit
contains a variety of goodness-of-fit tests, from chi-squared to
Kolmogorov-Smirnov, to less known, but generally much more powerful
tests such as Anderson-Darling, Cramer-von Mises, Kuiper, Tiku etc.
Thanks to the component-based design and the usage of the standard
AIDA interfaces, this tool can be used by other data analysis
systems or integrated in experimental software frameworks. We
present the architecture of the system, the statistics methods
implemented and some results of its applications to the comparison
of Geant4 simulations with respect to experiment.
Primary authors
A. Pfeiffer
(CERN)
A. Ribon
(CERN)
B. Mascialino
(INFN Genova)
M.G. Pia
(INFN GENOVA)
P. VIARENGO
(IST, Genova, Italy)
S. Donadio
(INFN Genova)
S. Guatelli
(INFN Genova, Italy)
