Abstract
The JUNO (Jiangmen Underground Neutrino Observatory) Monte Carlo production tasks are composed of complicated workflow and dataflow linked by data. The paper will present the design of the JUNO production system based on the DIRAC transformation framework to meet the requirements of the JUNO Monte Carlo production activities among JUNO data centres according to the JUNO computing model. The approach allows JUNO data-driven workflow and dataflow to be chained automatically with availability of data and also provides a convenient interface for production groups to create and monitor production tasks. The functions and performance tests for evaluating the prototype system would be also presented in the paper.
Highlights
JUNO [1] is a multipurpose neutrino experiment
The experiment data including Monte Carlo data and raw data will be stored in IHEP, while multiple copies will be replicated in the European data centres
The data processing includes four steps: Detector Simulation (DetSim), Electronics Simulation (EleSim), PmtRec, Event Reconstruction (EvtRec), where the Physics Generator (PhyGen) step is combined into the DetSim step
Summary
JUNO [1] is a multipurpose neutrino experiment. JUNO plans to take about 2 PB raw data each year, which will start from 2022 and take data for more than 10 years. The JUNO Monte Carlo (MC) production activities will be arranged and operated on the JUNO distributed computing system which can integrate heterogeneous resources from the JUNO data centres globally. The experiment data including Monte Carlo data and raw data will be stored in IHEP, while multiple copies will be replicated in the European data centres. A production system is needed to handle MC production workflow and dataflow in an automatic way
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