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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...

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Autores principales: Pinto, B, Amorim, A, Pereira, P, Elsing, M, Hawkings, R, Schieck, J, García, S, Schaffer, A, Ma, H, Anjos, A
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
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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