21-27 March 2009
Prague
Europe/Prague timezone

The Tile Calorimeter Web Systems for Data Quality Analyses

23 Mar 2009, 18:10
20m
Club A (Prague)

Club A

Prague

Prague Congress Centre 5. května 65, 140 00 Prague 4, Czech Republic
oral Software Components, Tools and Databases Software Components, Tools and Databases

Speaker

Andressa Sivolella Gomes (Universidade Federal do Rio de Janeiro (UFRJ))

Description

The ATLAS detector consists of four major components: inner tracker, calorimeter, muon spectrometer and magnet system. In the Tile Calorimeter (TileCal), there are 4 partitions, each partition has 64 modules and each module has up to 48 channels. During the ATLAS commissioning phase, a group of physicists need to analyze the Tile Calorimeter data quality, generate reports and update the official database, when necessary. The Tile Commissioning Web Systems (TCWS) retrieves information from different directories and databases, executes programs that generate results, stores comments and verifies the calorimeter status. TCWS integrates different applications, each one presenting a unique data view. The Web Interface for Shifters (WIS) supports monitoring tasks by managing test parameters and all the calorimeter status. The TileComm Analysis stores plots, automatic analyses results and comments concerning the tests. With the necessity of increasing granularity, a new application was created: the Monitoring and Calibration Web System (MCWS). This application supports data quality analyses at channels level by presenting the automatic analyses results, the problematic known channels and the channels masked by the shifters. Through the web system, it's possible to generate plots and reports, related to the channels, identify new bad channels and update the Bad Channels List at the ATLAS official database (COOL DB). The Data Quality Monitoring Viewer (DQM Viewer) displays the data quality automatic results through an oriented visualization.
Presentation type (oral | poster) oral

Primary author

Andressa Sivolella Gomes (Universidade Federal do Rio de Janeiro (UFRJ))

Co-authors

Dr Carmen Maidantchik (Universidade Federal do Rio de Janeiro (UFRJ)) Felipe Fink Grael (Universidade Federal do Rio de Janeiro (UFRJ)) Fernando Ferreira Guimarães (Universidade Federal do Rio de Janeiro (UFRJ)) Kaio Karam (Universidade Federal do Rio de Janeiro (UFRJ))

Presentation Materials