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40 MHz Scouting with Deep Learning in CMS / Golubovic, Dejan (CERN) ; James, Thomas Owen (CERN) ; Meschi, Emilio (CERN) ; Puljak, Ema (Boskovic Inst., Zagreb) ; Rabady, Dinyar Sebastian (CERN) ; Zahid Rasheed, Awais (CERN-based) ; Sakulin, Hannes (CERN) ; Vourliotis, Emmanouil (Athens U.) ; Zejdl, Petr (CERN) /CMS Collaboration
A 40 MHz scouting system at CMS would provide fast and virtually unlimited statistics for detector diagnostics, alternative luminosity measurements and, in some cases, calibrations, and it has the potential to enable the study of otherwise inaccessible signatures, either too common to fit in the L1 accept budget, or with requirements which are orthogonal to ``mainstream'' physics, such as long-lived particles. Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher-level features from the raw inputs. A series of studies on different aspects of LHC data processing have demonstrated the potential of deep learning for CERN applications. [...]
CMS-CR-2020-109.- Geneva : CERN, 2020 - 10 p. Fulltext: PDF;
In : Connecting The Dots 2020, Princeton, United States Of America, 20 - 30 Apr 2020

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Configuration of SoC FPGA, Booting of HPS and running Bare Metal Application from SD card. / Zahid Rasheed, Awais
First, a hardware design is created using Qsys in Quartus 16.0. [...]
CERN-STUDENTS-Note-2016-193. - 2016
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