Fast neural-net based fake track rejection


Build a new fast neural-net based fake track rejections, which is fast enough to run in the trigger. And thereby reduce the workload for PID and combinatorics and thus save time in the total HLT.


Michel De Cian, Stephen Farry, Paul Seyfert, Sascha Stahl

Previous results



comments in websvn

  • 26.08.2016: The first draft of the note sent to the T&A convenors by Paul.
  • 21.09.2016: 1st set of comments from Francesco Polci
  • 27.10.2016: 1st set of comments from Michel De Cian.
  • 25.01.2017: 2nd draft of the note sent to the T&A convenors by Paul with partial reply to previous comments
  • 22.02.2017: an updated (2.1) draft sent by Paul
  • 04.08.2017: an updated (2.2) draft sent by Paul
  • 09.08.2017: 1st set of comments from Agnieszka Dziurda
  • 14.08.2017: 3rd draft sent by Paul with Agnieszka's suggestions.


weblink: websvn, svn: svn+ssh://


Link to the package:

-- AgnieszkaDziurda - 2017-08-28

Topic attachments
I Attachment History Action Size Date Who Comment
PDFpdf LHCb-PUB-2017-011-v1.0.pdf r1 manage 574.2 K 2017-08-28 - 16:57 UnknownUser  
PDFpdf LHCb-PUB-2017-011-v2.0.pdf r1 manage 602.4 K 2017-08-28 - 14:48 UnknownUser  
PDFpdf LHCb-PUB-2017-011-v2.1.pdf r1 manage 604.3 K 2017-08-28 - 14:48 UnknownUser  
PDFpdf LHCb-PUB-2017-011-v2.2.pdf r1 manage 671.3 K 2017-08-28 - 14:48 UnknownUser  
PDFpdf LHCb-PUB-2017-011-v3.0.pdf r1 manage 677.0 K 2017-08-28 - 14:48 UnknownUser  
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Topic revision: r5 - 2017-09-01 - unknown
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