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The Fermi-LAT Dataprocessing Pipeline

Authors :
Zimmer, S.
Johnsson, T.
Glanzmann, T.
Lavalley, C.
Arrabito, L.
Tsaregorodtsev, A.
Laboratoire Univers et Particules de Montpellier (LUPM)
Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Centre de Physique des Particules de Marseille (CPPM)
Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Source :
Computing in High Energy and Nuclear Physics (CHEP2012), Computing in High Energy and Nuclear Physics (CHEP2012), May 2012, New-York, United States
Publication Year :
2012
Publisher :
HAL CCSD, 2012.

Abstract

The Data Handling Pipeline ("Pipeline") has been developed for the Fermi Gamma-Ray Space Telescope (Fermi) Large Area Telescope (LAT) which launched in June 2008. Since then it has been in use to completely automate the production of data quality monitoring quantities, reconstruction and routine analysis of all data received from the satellite and to deliver science products to the collaboration and the Fermi Science Support Center. In addition it receives heavy use in performing production MonteCarlo tasks. In daily use it receives a new data download every 3 hours and launches about 2000 jobs to process each download, typically completing the processing of the data before the next download arrives. The need for manual intervention has been reduced to less than

Details

Language :
English
Database :
OpenAIRE
Journal :
Computing in High Energy and Nuclear Physics (CHEP2012), Computing in High Energy and Nuclear Physics (CHEP2012), May 2012, New-York, United States
Accession number :
edsair.dedup.wf.001..486fb039d86bd2c9827c667b4edcc9c4