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Real-time flavour tagging selection in ATLAS
In high-energy physics experiments, online selection is crucial to identify the few interesting collisions from the large data volume processed. In the overall ATLAS trigger strategy, b-jet triggers are designed to identify heavy-flavour content in real-time and, in particular, provide the only opti...
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Lenguaje: | eng |
Publicado: |
2015
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2049448 |
Sumario: | In high-energy physics experiments, online selection is crucial to identify the few interesting collisions from the large data volume processed. In the overall ATLAS trigger strategy, b-jet triggers are designed to identify heavy-flavour content in real-time and, in particular, provide the only option to efficiently record events with fully hadronic final states containing b-jets. In doing so, two different, but related, challenges are faced. The physics goal is to optimise as far as possible the rejection of light jets from multijet processes, while retaining a high efficiency on selecting jets from beauty, and maintaining affordable trigger rates without raising jet energy thresholds. This maps into a challenging computing task, as charged tracks and their corresponding vertexes must be reconstructed and analysed for each jet above the desired threshold, regardless of the increasingly harsh pile-up conditions. The performance of b-jet triggers during the LHC Run 1 data-taking campaigns is presented, together with an overview and preliminary results of the new online b-tagging strategy and algorithms, designed to face the above mentioned challenges, which will be adopted during Run 2. |
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