121 research outputs found
RD13 Technical Note 168 April 15, 1996
No full textThis document describes the design and implementation details of the Online Volume Bookkeeping system that was developed for the 1996 ATLAS test beam runs. The system is composed by 3 programs and 2 shell scripts: . OVBK_DAQ: retrieves information that describes the run configuration, run date, archive file information and run quality from different DAQ products. It is integrated with the RD13 data acquisition system and the information are maintained in a database
The Monitoring and Calibration Web Systems for the ATLAS Tile Calorimeter Data Quality Analysis
No full textThe Tile Calorimeter (TileCal), one of the ATLAS detectors, has four partitions, where each one contains 64 modules and each module has up to 48 PhotoMulTipliers (PMTs), totalizing more than 10,000 electronic channels. The Monitoring and Calibration Web System (MCWS) supports data quality analyses at channels level. This application was developed to assess the detector status and verify its performance, presenting the problematic known channels list from the official database that stores the detector conditions data (COOL). The bad channels list guides the data quality validator during analyses in order to identify new problematic channels. Through the system, it is also possible to update the channels list directly in the COOL database. MCWS generates results, as eta-phi plots and comparative tables with masked channels percentage, which concerns TileCal status, and it is accessible by all ATLAS collaboration. Annually, there is an intervention on LHC (Large Hadronic Collider) when the detector equipments (PMTs, motherboards, voltages and cables, for example) are fixed or replaced by new ones. When a channel needs to be repaired, the calibration constants stored into COOL database must be updated, otherwise they may negatively interfere in the data quality analyses. A MCWS functionality manages the calibration constants by updating their values in COOL database. The development team foresees an integration with the Tile detector control Web system (DCS) in order to identify voltage problems automatically, since the channels are fed by high voltage sources. The MCWS has been used by the Tile community since 2008, during the commissioning phase, and was upgraded to respect the ATLAS operation specifications
Tile-in-ONE
No full textThe Tile calorimeter is one of the sub-detectors of ATLAS. In order to ensure its proper operation and assess the quality of data, many tasks are to be performed by means of many tools which were developed independently to satisfy different needs. Thus, these systems are commonly implemented without a global perspective of the detector and lack basic software features. Besides, in some cases they overlap in the objectives and resources with another one. It is therefore evident the necessity of an infrastructure to allow the implementation of any functionality without having to duplicate the effort while being possible to integrate with an overall view of the detector status.\nTile-in-ONE is intended to meet these needs, by providing a unique system, which integrates all the web systems and tools used by the Tile calorimeter, with a standard development technology and documentation. It also intends to abstract the user from knowing where and how to get the wanted data by providing a user friendly interface. It is based in a server containing a core, which represents the basic framework that loads the configuration, manages user settings and loads plugins at run-time; a set of services, which provide common features to be used by the plug-ins, such as connectors to different databases and resources; and the plug-ins themselves which provide features at the top level layer for the users. Moreover, a web environment is being designed to allow collaborators develop their own plug-ins, test them and add them to the system. To make it possible, an API is used allowing any kind of application to be interpreted and displayed in a standard way
Tile-in-ONE\nAn integrated framework for the data quality assessment and database management for the ATLAS Tile Calorimeter
No full textIn order to ensure the proper operation of the ATLAS Tile Calorimeter and assess the\nquality of data, many tasks are performed by means of several tools which have been developed\nindependently. The features are displayed into standard dashboards, dedicated to each working\ngroup, covering dierent areas, such as Data Quality and Calibration
Glance project: a database retrieval mechanism for the ATLAS detector
No full textDuring the construction and commissioning phases of the ATLAS detector, data related to the installation, placement, testing and performance of the equipment are stored in relational databases. Each group acquires and saves information in different servers, using diverse technologies, data modeling and terminologies. Installation and maintenance during the experiment construction and operation depends on the access to this information, as well as imply in its update. The development of retrieval and update systems for each data set requires too much effort and high maintenance cost. The Glance system retrieves and inserts/updates data independently of the modeling and technology used for the storage, recognizes the repositories internal structure and guides the user through the creation of search and insertion interfaces. Distinct and spread data sets can be transparently integrated in one interface. Data can be exported/imported to/from various formats. The system handles many independent interfaces, which can be accessed by users or other applications at any time. This paper describes the Glance conception, its development and features. The system usage is illustrated with examples. Current status and future work are also discussed
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