Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1847193 | Nuclear Physics B - Proceedings Supplements | 2006 | 4 Pages |
Abstract
Unprecedented data analysis complexity is experienced in modern High Energy Physics experiments. The complexity arises from the growing size of recorded data samples, the large number of data analyses performed by different users in each single experiment, and the level of complexity of each single analysis. For this reason, the requirements on software for data analysis impose a very high level of reliability. We present two concrete examples: the former from BaBar experience with the migration to a new Analysis Model with the definition of a new model for the Event Data Store, the latter about a toolkit for multivariate statistical and parametric Monte Carlo analysis developed using generic programming.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Nuclear and High Energy Physics