1 / 12

Towards release of the LCFI Vertex Package

Towards release of the LCFI Vertex Package. Flavour tag Quark sign selection / vertex charge reconstruction What remains to be done before the software release. tanh (M Pt / 5 GeV). b. c. joint probability. uds. b. c. Flavour tag.

talon
Download Presentation

Towards release of the LCFI Vertex Package

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Towards release of the LCFI Vertex Package • Flavour tag • Quark sign selection / vertex charge reconstruction • What remains to be done before the software release

  2. tanh (MPt / 5 GeV) b c joint probability uds b c Flavour tag • Vertex package will provide flavour tag procedure developed by R. Hawkings et al • (LC-PHSM-2000-021) and recently used by K. Desch / Th. Kuhl as default • NN-input variables used: • if secondary vertex found: MPt , momentum of secondary vertex, and its decay length and decay length significance • if only primary vertex found: momentum and impact parameter significance in R-f and z for the two most-significant tracks in the jet • in both cases: joint probability in R-f and z (estimator of • probability for all tracks to originate from primary vertex) • will be flexible enough to permit user further tuning of the input variables for the neural net, • and of the NN-architecture (number and type of nodes) and training algorithm

  3. Initial checks: flavour tag at the Z-peak • use SGV and FORTRAN ZVTOP with neural net software developed at • Bristol (Dave Bailey) – BaBar, looking for NN-code to include in their analysis software, • chose this NN implementation because of its user-friendliness • look at q qbar sample (all flavours except top) at the Z peak; this consists of: • train separate nets for jets with 1, 2 and 3 ZVTOP vertices found; • for each category, train three types of net: b-net and c-net to identify b- and c-quarks, • respectively and bc-net to identify c-quarks with background only from b-jets • plot flavour tag purity vs efficiency; angular cut 30o < qthrust < 150o

  4. K Desch/ Th Kuhl b c (b bkgr) c Flavour tag purity vs efficiency at the Z-peak • better performance than obtained previously(TESLA-TDR, Desch/Kuhl): • high b-jet purity up to larger efficiencies; • c-purity for c with only b-background higher; also improvement for c-tag • reason might be masking of K-shorts and Lambdas in current study, actual efficiency • for doing this has still to be evaluated

  5. uds b c c b uds Flavour composition of sample at different energies left: contributions of b, c and uds jets in generated sample, right: require > 1 ZVTOP vertex fractions of b- and c-jets become more similar at higher energies in that respect, b-tag becomes more challenging; increase in average decay length makes vertex finding easier

  6. c (b bkgr) b c Tagging performance at ECM = 500 GeV left: momentum and decay length significance of secondary vertex and momentum of most and of second-most significant track in jet scaled with jet energy • b-tag worse, c (b-bkgr) tag improved at 500 GeV compared to Z-peak, consistent with change • in contributions of b- and c-jets to sample • comparison with previous result (right) not fully possible (K-short and Lambda-masking)

  7. Vertex charge reconstruction • in the 40% of cases where b quark hadronises to charged B-hadron quark sign can • be determined by vertex charge • need to find all stable tracks from • B decay chain: • define seed axis • cut on L/D (normalised distance • between IP and projection of track POCA • onto seed axis) • tracks that form vertices other than IP • are assigned regardless of their L/D • probability of mis-reconstructing vertex charge is small for both charged and neutral cases • neutral vertices require ‘charge dipole’ procedure from SLD still to be developed for ILC, • relying on ghost track / ZVKIN

  8. purity value obtained using only MPt for flavour tag Vertex charge for inclusive sample at the Z peak • look at purity and efficiency of finding vertex charge other than 0, plotted vs b-tag efficiency 0.5 efficiency_pm 0 0.5 • previously used pure b bbar sample and cut on MPt for ‘flavour-tag’, typical cut value 2 GeV • corresponding to ~ 65 % efficiency; grey line: average over polar angle range considered •  good agreement with previous results

  9. Completion of first release of ‘vertex package’ • code development: • coding: complete ghost track algorithm, add C++-based calculation of NN input variables • interface NN code from Bristol, with flexible input (default: Hawkings procedure) • interface vertex package to SGV and to LCIO • in parallel: document • testing: • ZVRES: detailed comparison to FORTRAN version and to MC (in progress) • ZVKIN testing, e.g. comparison with SLD performance at 45 GeV jet energy • check flavour tag and vertex charge performance at each stage • after release: • evaluation of differences between SGV and full simulation and reconstruction framework • study possible improvements in flavour tag and vertex charge, e.g. from ghost track Many interesting topics to work on – further help with exploring these most welcome

  10. Recent and future WP1-related talks LCWS 9 – 14 March 2006, Bangalore: S. Worm, ‘LCFI Status Report: Physics and Mechanics for ILC Vertex Detector’ ILC Software and Physics meeting, 4 – 6 April 2006, Cambridge: S. Hillert, ‘Overview of LCFI Vertex Package’ B. Jeffery, ‘Towards a C++ based version of ZVTOP’ ‘Linear Collider: Detector and Physics’ Forum, 6 – 7 May, Cosener’s House: T. Greenshaw, ‘LCFI Physics Studies’

  11. Additional Material

  12. c (b bkgr) b c c (b bkgr) b c Tagging performance at ECM = 500 GeV NB difference in range: below: ~0.3 – 1 right: ~ 0.0 - 1 Inputs scaled Inputs not scaled

More Related