Cargando…

Automating CMS Calibrations using the WMAgent framework

Particle beams are now circulating in the world's most powerful particle accelerator LHC at CERN and the experiments are ready to record data from beam. Data from first collisions will be crucial for sub-detector commissioning, making alignment and calibration high priority activities. Executin...

Descripción completa

Detalles Bibliográficos
Autor principal: Riahi, Hassen
Lenguaje:eng
Publicado: 2010
Materias:
Acceso en línea:http://cds.cern.ch/record/1285525
_version_ 1780920572390146048
author Riahi, Hassen
author_facet Riahi, Hassen
author_sort Riahi, Hassen
collection CERN
description Particle beams are now circulating in the world's most powerful particle accelerator LHC at CERN and the experiments are ready to record data from beam. Data from first collisions will be crucial for sub-detector commissioning, making alignment and calibration high priority activities. Executing the alignment and calibration workflows represent a complex and time consuming task, with intricate data dependencies and stringent latency requirements. For this reason CMS Workload Management has defined an architecture and strategy to automate the workflows to minimise the required human effort. In this paper, we discuss the WMCore and WMAgent components used in the current CRABSERVER framework showing the prototype tuned over the first use case, namely calibration of the Beam Spot. We also present the longer term strategies for moving alignment and calibration workflows into the standard Tier-0 processing and automating the analysis workflow.
id cern-1285525
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2010
record_format invenio
spelling cern-12855252019-09-30T06:29:59Zhttp://cds.cern.ch/record/1285525engRiahi, HassenAutomating CMS Calibrations using the WMAgent frameworkDetectors and Experimental TechniquesParticle beams are now circulating in the world's most powerful particle accelerator LHC at CERN and the experiments are ready to record data from beam. Data from first collisions will be crucial for sub-detector commissioning, making alignment and calibration high priority activities. Executing the alignment and calibration workflows represent a complex and time consuming task, with intricate data dependencies and stringent latency requirements. For this reason CMS Workload Management has defined an architecture and strategy to automate the workflows to minimise the required human effort. In this paper, we discuss the WMCore and WMAgent components used in the current CRABSERVER framework showing the prototype tuned over the first use case, namely calibration of the Beam Spot. We also present the longer term strategies for moving alignment and calibration workflows into the standard Tier-0 processing and automating the analysis workflow.CMS-CR-2010-049oai:cds.cern.ch:12855252010-03-31
spellingShingle Detectors and Experimental Techniques
Riahi, Hassen
Automating CMS Calibrations using the WMAgent framework
title Automating CMS Calibrations using the WMAgent framework
title_full Automating CMS Calibrations using the WMAgent framework
title_fullStr Automating CMS Calibrations using the WMAgent framework
title_full_unstemmed Automating CMS Calibrations using the WMAgent framework
title_short Automating CMS Calibrations using the WMAgent framework
title_sort automating cms calibrations using the wmagent framework
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1285525
work_keys_str_mv AT riahihassen automatingcmscalibrationsusingthewmagentframework