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Manoj Kumar Jha INFN – Bologna On Behalf of ATLAS Muon Calibration Group 20 th October 2010/CHEP 2010, Taipei ATLAS Muon Calibration Framework

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ATLAS Muon Calibration Framework

Manoj Kumar Jha INFN BolognaOn Behalf of ATLAS Muon Calibration Group 20th October 2010/CHEP 2010, TaipeiATLAS Muon Calibration FrameworkOutline20/10/2010Manoj Kumar Jha (INFN Bologna) 2ATLAS muon spectrometerMDT drift tube chambersResolution requirementsCalibration strategystreamprocessingLatency

ATLAS Muon SpectrometerStandalone Muon Spectrometry pT / pT < 10% up to 1 TeV Coverage || < 2.7 (|| < 860)Layout Superconducting air coil toroid Trigger chambers: RPC (Barrel) and TGC (end-cap) Precision chambers: MDT, CSC (inner end-cap)Muon Stations

20/10/20103Manoj Kumar Jha (INFN Bologna) MDT Drift Tube ChambersDrift Tube Ar/CO2 (93/7) @ 3 bar absolute Tube = 30 mm and Wire = 50 m High Voltage = 3080 Gas gain = 2.0 x 1014 Resolution = 80 m MDT Chambers 2 multi-layers with 3 or 4 layers Surface 0.5 to 11 m2 Monitoring of geometry, temperature and magnetic field.

20/10/20104Manoj Kumar Jha (INFN Bologna) 4Resolution RequirementsFirst Collisions pT < 100 GeV: Resolution dominated by multiple scattering and energy loss Required rt precision: O(100 m)Design Parameters pT > 100 GeV: Resolution dominated by spatial resolution. Required rt precision: O(20 m)

20/10/20105Manoj Kumar Jha (INFN Bologna) Calibration Strategy t0 determinationStarting point of drift time spectrumNeeded for equalization of time measurement of all the drift tubes~10K hits per tube are neededIntegration of drift time integrationGives start rt with precision O(100 m)Auto calibrationFit segments using input rtDeviation of rdrift from rsegment gives correction IterateResolution Fit segment omitting one tube (residual) = residual drift IterateRequired precision 20 m to be done within 24 hrs after data taking.

20/10/20106Manoj Kumar Jha (INFN Bologna) Correction FunctionsOne rt relation is fitted by chamber. To compensate for effects, which are inhomogeneous inside one chamber, rt correction functions are appliedWire-sagBarrel: Bend tubes so that the wire is always in middleEnd-cap: Apply rt-correctionTemperature Magnetic field20/10/20107Manoj Kumar Jha (INFN Bologna) Calibration StreamMuon triggerRPC-chambersmuon trigger level 1momentumfrom mdt-chambersmuon triggerlevel 2 event filterlevel-3 triggerCalibration centersoutside CERN

(tier-2 subclusters)

Michigan

Munich (MPI+LMU)

Roma & Napelscalibrationstream~100 kHz~1 kHz~100 Hz1/31/31/3

20/10/20108Manoj Kumar Jha (INFN Bologna) Calibration Processing: Data FlowCalibration datasets from ATLAS Tier0 are sent to remote calibration center using distributed data management system.Calibration Farms at remote center process the files as soon as they are available in local storage element. 20/10/20109Manoj Kumar Jha (INFN Bologna) Calibration Processing: Calibration center Calibration centers are established at ATLAS Tier2 with additional job and data management components to control the calibration taskDynamic partitioning of computing resourcesReservation of storage resourcesJob managementEntry point for grid jobs which needs a digital certificate to operate and are integrated in Batch Queue Manager.Recently, job submission tool Ganga has been integrated for job management and bookkeeping Tasks can be submitted to different backend like Panda and LCGTasks can be splitted on basis of number of files, events and subjobs.Better management of task output.For more information on Ganga , see talk by Johannes Elmeshuer.20/10/201010Manoj Kumar Jha (INFN Bologna) Calibration Processing: ArchitectureLocal Calibration Data Splitter (LCDS) permanently watches for incoming data.As soon as the first data arrive in local storage element , LCDS starts submitting a set of jobs to calibration batch queue.Monitoring of calibration task is performed by monitoring client integrated in LCDS.Relevant data gets store at the end of calibration task and data could be in principle released and marked for deletion from Tier2 storage.

20/10/201011Manoj Kumar Jha (INFN Bologna) LatencyCalibration tasks were submitted using job submission tool Ganga.

Number of subjobs corresponding to a dataset depends upon number of files in the dataset.

Latency is peaked at around 2 hrs. Most of the datasets are processed in the calibration centers after 2 hrs of data taking.

20/10/201012Manoj Kumar Jha (INFN Bologna) 12SummaryGanga as job submission tool has been integrated into LCDS.Remote center used for calibration of MDT chambers have been setup and their functionalities have been tested with real data.Latency is peaked around 2 hrs.ATLAS muon calibration framework can be extended for calibration to other sub system of detector. 20/10/201013Manoj Kumar Jha (INFN Bologna) 13