A new petabyte-scale data derivation framework for ATLAS

[摘要] During the Long Shutdown of the LHC, the ATLAS collaboration overhauled its analysis model based on experience gained during Run 1. A significant component of the model is a "Derivation Framework" that takes the petabyte-scale AOD output from ATLAS reconstruction and produces samples, typically terabytes in size, targeted at specific analyses. The framework incorporates all of the functionality of the core reconstruction software, while producing outputs that are simply configured. Event selections are specified via a concise domain-specific language, including support for logical operations. The output content can be highly optimised to minimise disk requirements, while maintaining the same C++ interface. The framework includes an interface to the late-stage physics analysis tools, ensuring that the final outputs are consistent with tool requirements. Finally, the framework allows several outputs to be produced for the same input, providing the possibility to optimise configurations to computing resources.

[发布机构] Fysikkbygningen, University of Oslo, P.O. Box 1048 Blindern, Oslo; N-0316, Norway^1;Argonne National Laboratory, 9700 S. Cass Avenue, Argonne; IL; 60439, United States^2;Cavendish Laboratory, 19 J J Thomson Avenue, Cambridge; CB3 0HE, United Kingdom^3;University of Liverpool, Oliver Lodge Laboratory, Liverpool; L69 7ZE, United Kingdom^4;University of Texas at Arlington, Box-19059, Arlington; TX; 76019, United States^5;School of Physics and Astronomy, University of Glasgow, Glasgow; G12 8QQ, United Kingdom^6

[效力级别] 计算机科学 [学科分类] 计算机科学（综合）

[关键词] Analysis models;Computing resource;Domain specific languages;Event selection;Logical operations;Physics analysis;Reconstruction software;Tool requirements