Speaker
D. Smith
(STANFORD LINEAR ACCELERATOR CENTER)
Description
The BaBar experiment has migrated its event store from an
objectivity based system to a system using ROOT-files, and along
with this has developed a new bookkeeping design. This bookkeeping
now combines data production, quality control, event store
inventory, distribution of BaBar data to sites and user analysis in
one central place, and is based on collections of data stored as
ROOT-files. These collections are grouped into pre-determined
datasets, which define subsets of BaBar data to be used in
analysis. Datasets are updated automatically to contain at any
times the most up-to-date BaBar data. Local mirrors
of the bookkeeping database can be used with the data distribution
features to import collections and maintain local event stores
containing subsets of the available BaBar data. The bookkeeping
system is scalable and supports sites containing all available data
and hundreds of users down to the single user with a laptop. Oracle
and MySQL relational databases are supported in its use, and sites
can choose which to support. Database mirrors in the bookkeeping
system can be accessed over network, which allows to browse local
inventories from remote sites. This book keeping system has been in
active use in BaBar since early this year, and the scope of its use
along with technologies developed to keep it working will be
presented.
Primary authors
A. Ceseracciu
(INFN SEZIONE DI PADOVA)
A. Forti
(UNIVERSITY OF MANCHESTER)
D. Bukin
(BUDKER)
D. Hutchcroft
(UNIVERSITY OF LIVERPOOL)
D. Kovalskyi
(UNIVERSITY OF MARYLAND)
D. Smith
(STANFORD LINEAR ACCELERATOR CENTER)
G. Dubois-Felsmann
(Caltech)
P. Jackson
(UNIVERSITY OF LONDON, ROYAL HOLLOWAY)
T. Adye
(RUTHERFORD APPLETON LABORATORY)
W. Roethel
(UC, IRVINE)
