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Data libraries as a collaborative tool across Monte Carlo codes

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arxiv 1012.0697 v1 pith:I5SO25F3 submitted 2010-12-03 physics.comp-ph

Mauro Augelli (1) , Marcia Begalli (2) , Mincheol Han (3) , Steffen Hauf (4) , Chan-Hyeung Kim (3) , Markus Kuster (4) , Maria Grazia Pia (5) , Lina Quintieri (6)
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Paolo Saracco (5) Hee Seo (3) Manju Sudhakar (5) Georg Eidenspointner (7) Andreas Zoglauer (8) ((1) CNES (2) State University Rio de Janeiro (3) Hanyang University (4) Technische Universität Darmstadt (5) INFN Sezione di Genova (6) INFN Laboratori Nazionali di Frascati (7) MPE MPI Halbleiterlabor (8) University of California at Berkeley)
This is my paper · ORCID
classification physics.comp-ph
keywords datalibrariescarlomonterespectacrossbeencodes
verification ladder T0 review T1 audit T2 compute T3 formal

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The role of data libraries in Monte Carlo simulation is discussed. A number of data libraries currently in preparation are reviewed; their data are critically examined with respect to the state-of-the-art in the respective fields. Extensive tests with respect to experimental data have been performed for the validation of their content.

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