Cargando…
Alignment data streams for the ATLAS inner detector
The ATLAS experiment uses a complex trigger strategy to be able to reduce the Event Filter rate output, down to a level that allows the storage and processing of these data. These concepts are described in the ATLAS Computing Model which embraces Grid paradigm. The output coming from the Event Filte...
Autores principales: | , , , , , , , , , |
---|---|
Lenguaje: | eng |
Publicado: |
2008
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/119/2/022030 http://cds.cern.ch/record/1176566 |
_version_ | 1780916254325866496 |
---|---|
author | Pinto, B Amorim, A Pereira, P Elsing, M Hawkings, R Schieck, J García, S Schaffer, A Ma, H Anjos, A |
author_facet | Pinto, B Amorim, A Pereira, P Elsing, M Hawkings, R Schieck, J García, S Schaffer, A Ma, H Anjos, A |
author_sort | Pinto, B |
collection | CERN |
description | The ATLAS experiment uses a complex trigger strategy to be able to reduce the Event Filter rate output, down to a level that allows the storage and processing of these data. These concepts are described in the ATLAS Computing Model which embraces Grid paradigm. The output coming from the Event Filter consists of four main streams: physical stream, express stream, calibration stream, and diagnostic stream. The calibration stream will be transferred to the Tier-0 facilities that will provide the prompt reconstruction of this stream with a minimum latency of 8 hours, producing calibration constants of sufficient quality to allow a first-pass processing. The Inner Detector community is developing and testing an independent common calibration stream selected at the Event Filter after track reconstruction. It is composed of raw data, in byte-stream format, contained in Readout Buffers (ROBs) with hit information of the selected tracks, and it will be used to derive and update a set of calibration and alignment constants. This option was selected because it makes use of the Byte Stream Converter infrastructure and possibly gives better bandwidth usage and storage optimization. Processing is done using specialized algorithms running in the Athena framework in dedicated Tier-0 resources, and the alignment constants will be stored and distributed using the COOL conditions database infrastructure. This work is addressing in particular the alignment requirements, the needs for track and hit selection, and the performance issues. |
id | cern-1176566 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2008 |
record_format | invenio |
spelling | cern-11765662022-08-17T13:37:02Zdoi:10.1088/1742-6596/119/2/022030http://cds.cern.ch/record/1176566engPinto, BAmorim, APereira, PElsing, MHawkings, RSchieck, JGarcía, SSchaffer, AMa, HAnjos, AAlignment data streams for the ATLAS inner detectorComputing and ComputersThe ATLAS experiment uses a complex trigger strategy to be able to reduce the Event Filter rate output, down to a level that allows the storage and processing of these data. These concepts are described in the ATLAS Computing Model which embraces Grid paradigm. The output coming from the Event Filter consists of four main streams: physical stream, express stream, calibration stream, and diagnostic stream. The calibration stream will be transferred to the Tier-0 facilities that will provide the prompt reconstruction of this stream with a minimum latency of 8 hours, producing calibration constants of sufficient quality to allow a first-pass processing. The Inner Detector community is developing and testing an independent common calibration stream selected at the Event Filter after track reconstruction. It is composed of raw data, in byte-stream format, contained in Readout Buffers (ROBs) with hit information of the selected tracks, and it will be used to derive and update a set of calibration and alignment constants. This option was selected because it makes use of the Byte Stream Converter infrastructure and possibly gives better bandwidth usage and storage optimization. Processing is done using specialized algorithms running in the Athena framework in dedicated Tier-0 resources, and the alignment constants will be stored and distributed using the COOL conditions database infrastructure. This work is addressing in particular the alignment requirements, the needs for track and hit selection, and the performance issues.oai:cds.cern.ch:11765662008 |
spellingShingle | Computing and Computers Pinto, B Amorim, A Pereira, P Elsing, M Hawkings, R Schieck, J García, S Schaffer, A Ma, H Anjos, A Alignment data streams for the ATLAS inner detector |
title | Alignment data streams for the ATLAS inner detector |
title_full | Alignment data streams for the ATLAS inner detector |
title_fullStr | Alignment data streams for the ATLAS inner detector |
title_full_unstemmed | Alignment data streams for the ATLAS inner detector |
title_short | Alignment data streams for the ATLAS inner detector |
title_sort | alignment data streams for the atlas inner detector |
topic | Computing and Computers |
url | https://dx.doi.org/10.1088/1742-6596/119/2/022030 http://cds.cern.ch/record/1176566 |
work_keys_str_mv | AT pintob alignmentdatastreamsfortheatlasinnerdetector AT amorima alignmentdatastreamsfortheatlasinnerdetector AT pereirap alignmentdatastreamsfortheatlasinnerdetector AT elsingm alignmentdatastreamsfortheatlasinnerdetector AT hawkingsr alignmentdatastreamsfortheatlasinnerdetector AT schieckj alignmentdatastreamsfortheatlasinnerdetector AT garcias alignmentdatastreamsfortheatlasinnerdetector AT schaffera alignmentdatastreamsfortheatlasinnerdetector AT mah alignmentdatastreamsfortheatlasinnerdetector AT anjosa alignmentdatastreamsfortheatlasinnerdetector |