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LCFI Collaboration meeting, 8 May 2007Sonja Hillert p. 0 Some input distributions from LC-PHSM-2000-021 most sensitive input variables for the flavour.

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Presentation on theme: "LCFI Collaboration meeting, 8 May 2007Sonja Hillert p. 0 Some input distributions from LC-PHSM-2000-021 most sensitive input variables for the flavour."— Presentation transcript:

1 LCFI Collaboration meeting, 8 May 2007Sonja Hillert p. 0 Some input distributions from LC-PHSM-2000-021 most sensitive input variables for the flavour tag neural net the Pt-corrected mass requires at least one secondary vertex to be found  different inputs for NN depending on number of vertices

2 LCFI Collaboration meeting, 8 May 2007Sonja Hillert p. 1 Input distributions from track cheater without TPC good agreement of MOKKA inputs with BRAHMS ones slightly better discrimination since MOKKA assumes point resolution 2  m, BRAHMS assumed 3.5  m

3 LCFI Collaboration meeting, 8 May 2007Sonja Hillert p. 2 b c (b-bkgr) c open: BRAHMS, LC-note full: MARLIN (Mokka), Si-only track cheater Resulting purity vs efficiency at the Z-peak  at high efficiency MARLIN(MOKKA) with “Silicon-only” track cheater gives better performance compared to LC-note result using tracking with pattern recognition

4 LCFI Collaboration meeting, 8 May 2007Sonja Hillert p. 3 Purity vs efficiency at sqrt(s) = 500 GeV, Si-only  first results obtained at higher energy look promising  note that at this energy a track momentum cut has to be applied for the jet finder to run (this result: 100 MeV) open: BRAHMS, LC-note full: MARLIN (Mokka), Si-only track cheater b c (b-bkgr) c

5 LCFI Collaboration meeting, 8 May 2007Sonja Hillert p. 4 Response to LCFI contribution  extremely positive response to release of the code and to LCFI presentations  Ties Behnke in his summary included the release in the list of the “highlights” of the workshop and emphasised the “tremendous progress” with the code since Cambridge workshop 2006  Ties also used our package as example of the cooperation between frameworks possible through LCIO, and the increased level of interoperability / use of common tools needed for the realistic comparisons of different detectors in the engineering design phase  Mark Thomson (session convener) emphasised that our package had been developed carefully and was based on algorithms known to work very well from previous studies  in the physics / analysis session, many speakers mentioned the switch to using our code as next step for the immediate future  also, a number of “spin-offs”, such as Ben’s graphic representation of processors called in a Marlin steering file and LC collections required / produced, were mentioned positively


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