Speaker
Andrea Dotti
(INFN)
Description
During the ATLAS detector commissioning phase, installed readout electronics must
pass performance standards tests. The resulting data must be analyzed to ensure
correct operation. For the Tile Calorimeter, developers plug their code into a
specific framework for physics data-processing,. Collaboration members, taking shifts
on commissioning work, interpret the results, in thousands of readout channels, to
identify potential problems that may need correction during commissioning.
The Tile Commissioning Web System (TCWS) facilitates the repetitive data analysis and
quality control by encapsulating all necessary steps to retrieve information, execute
programs, access the outcomes, register statements, and verify the equipment status.
TCWS integrates different applications, each presenting a particular view of the
commissioning process. The TileComm Analysis application stores plots and analysis
results, provides equipment-oriented visualization, collects information regarding
equipment performance, and summarizes its status. The Timeline application provides
equipment status history in a chronological way. The Web Interface for Shifters
application supports monitoring tasks by managing test parameters, graphical views of
the calorimeter performance, and information status of all equipment that was used in
each test. Finally, equipment quality control data can be filled, stored, modified,
and retrieved as hypertext forms through the ATLASMonitor application. These
applications are also connected with other commissioning programs that allow an
automatic gathering of the commissioning data.
This paper describes in detail the programs that compose the TCWS and how they are
integrated within the Tile Calorimeter commissioning. Current status and future work
are also discussed
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | Tile |
|---|
Authors
Mr
Alexandre FARIA DE MELO
(Universidade Federal do Rio de Janeiro (UFRJ))
Andrea Dotti
(INFN)
Dr
Carmen MAIDANTCHIK
(Universidade Federal do Rio de Janeiro (UFRJ))
Mr
Felipe FINK GRAEL
(Universidade Federal do Rio de Janeiro (UFRJ))
Mr
Fernando GUIMARAES FERREIRA
(Universidade Federal do Rio de Janeiro (UFRJ))
Mr
Kaio KARAM GALVAO
(Universidade Federal do Rio de Janeiro (UFRJ))
Dr
Lawrence Price
(Argonne National Laboratory)
