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The Cherenkov Telescope Array production system for data-processing and Monte Carlo simulation

机译:Cherenkov望远镜阵列生产系统用于数据处理和蒙特卡洛模拟

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The Cherenkov Telescope Array (CTA) is the next-generation instrument in the field of very high energy gamma-ray astronomy. It will be composed of two arrays of Imaging Atmospheric Cherenkov Telescopes, located at La Palma (Spain) and Paranal (Chile). The construction of CTA has just started with the installation of the first telescope on site at La Palma and the first data expected by the end of 2018. The scientific operations should begin in 2022 for a duration of about 30 years. The overall amount of data produced during these operations is around 27 PB per year. The associated computing power for data processing and Monte Carlo (MC) simulations is of the order of hundreds of millions of CPU HS06 hours per year. In order to cope with these high computing requirements, we have developed a production system prototype based on the DIRAC framework, that we have intensively exploited during the past 6 years to handle massive MC simulations on the grid for the CTA design and prototyping phases. CTA workflows are composed of several inter-dependent steps, which we used to handle separately within our production system. In order to fully automatize the whole workflows execution, we have partially revised the production system by further enhancing the data-driven behavior and by extending the use of meta-data to link together the different steps of a workflow. In this contribution we present the application of the production system to the last years MC campaigns as well as the recent production system evolution, intended to obtain a fully data-driven and automatized workflow execution for efficient processing of real telescope data.
机译:切伦科夫望远镜阵列(CTA)是超高能伽马射线天文学领域的下一代仪器。它由位于西班牙拉帕尔玛和智利帕拉纳尔的两个成像大气切伦科夫望远镜阵列组成。 CTA的建设刚刚开始,是在拉帕尔玛(La Palma)现场安装了第一台望远镜,并有望在2018年底之前获得第一批数据。科学运作应于2022年开始,历时约30年。这些操作期间产生的数据总量约为每年27 PB。数据处理和蒙特卡洛(MC)模拟的相关计算能力每年约为数亿个CPU HS06小时。为了满足这些较高的计算要求,我们开发了基于DIRAC框架的生产系统原型,在过去的6年中我们对其进行了大量开发,以在CTA设计和原型设计阶段对网格进行大规模的MC仿真。 CTA工作流程由几个相互依赖的步骤组成,我们曾在生产系统中分别处理这些步骤。为了完全自动化整个工作流程的执行,我们通过进一步增强数据驱动的行为并扩展了元数据的使用以将工作流程的不同步骤链接在一起,对生产系统进行了部分修订。在此贡献中,我们介绍了生产系统在近几年MC活动中的应用以及最近生产系统的发展,旨在获得完全数据驱动和自动化的工作流程执行,以有效处理实际望远镜数据。

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