The LHCb Turbo Stream

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Benson, Sean^1 ; Gligorov, Vladimir^1 ; Vesterinen, Mika Anton^2 ; Williams, John Michael^3

CERN, Geneva, Switzerland^1

Physikalisches Institut, Ruprecht-Karls-Universitat Heidelberg, Heidelberg, Germany^2

Massachusetts Institute of Technology, Cambridge

MA, United States^3

关键词: Average efficiencies;    Charm physics;    Event reconstruction;    Maximum output;    Output rate;    Physics analysis;    Selection bias;    Streaming strategies;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/8/082004/pdf
DOI  :  10.1088/1742-6596/664/8/082004

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The LHCb experiment will record an unprecedented dataset of beauty and charm hadron decays during Run II of the LHC, set to take place between 2015 and 2018. A key computing challenge is to store and process these datasets, which will limit the maximum output rate of the LHCb trigger. So far, LHCb has written out a few kHz of events containing the full raw sub-detector data, which are passed through a full offline event reconstruction before being considered for physics analysis. Charm physics in particular is limited by trigger output rate constraints. A new streaming strategy includes the possibility to perform the physics analysis with candidates reconstructed in the trigger, thus bypassing the offline reconstruction and discarding the raw event. In the Turbo stream the trigger will write out a compact summary of physics objects containing all information necessary for analyses, and this will allow an increased output rate and thus higher average efficiencies and smaller selection biases. This idea will be commissioned and developed during 2015 with a selection of physics analyses. It is anticipated that the turbo stream will be adopted by an increasing number of analyses during the remainder of LHC Run II (2015-2018) and ultimately in Run III (starting in 2020) with the upgraded LHCb detector.