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Real-time data analysis model at LHC and connections to other experiments and fields

机译:LHC的实时数据分析模型及其与其他实验和领域的连接

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With the upcoming increase of proton-proton collision rates at the Large Hadron Collider (LHC) experiments, and the corresponding increase of data volumes, real-time analysis becomes a key ingredient to be able to analyse and select the interesting data within the available computing resources. In this talk I will review the main features of the techniques followed by the ATLAS, CMS and LHCb experiments. Similar challenges have to be faced in other fields, such as astronomy and cosmology, and I will comment about them.
机译:随着大型强子撞机(LHC)实验的预即将增加的质子 - 质子碰撞速率,以及数据量的相应增加,实时分析成为能够分析和选择可用计算内的有趣数据的关键成分资源。在此谈话中,我将审查技术的主要特征,然后是图标,CMS和LHCB实验。与其他领域相似,如天文学和宇宙学,也必须面临类似的挑战,我会对他们发表评论。

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