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This presentation covers ongoing work in the LCFI physics studies, focusing on the optimization of vertex detector parameters and performance evaluation. Key topics include the development of a C++-based Vertex Package integrating vertex finding and neural network-based flavor tagging tools. We aim to quantify the contribution of the vertex detector to physics analysis and compare different detector designs using fast Monte Carlo simulations. We discuss performance benchmarks, ongoing improvements, and future developments in software tools essential for the Standard ILC framework.
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WP 1 – Simulation and Physics Studies • Introduction to LCFI Physics Studies Sonja Hillert 5 min • Current status of C++ ZVTOP Ben Jeffery 10 min • The ghost track algorithm Dave Jackson 5 min • Towards release of the LCFI Vertex Package Sonja Hillert 10 min
Simulation and Physics Studies - Overview • aim: optimisation of vertex detector parameters and evaluation of its performance • two main areas of work: • Development of high-level reconstruction tools: • current focus: development of C++ based Vertex Package comprising vertex finder ZVTOP, NN-based flavour tag and quark charge sign selection • to be interfaced to LCIO and released mid of this year • release will be followed by work on upgrades • Study of Physics channels: • goal is to realistically quantify performance following vertex detector contribution to physics analysis through entire analysis chain • in parallel: performance comparison of different detector designs using fast MC SGV • (human readable detector description), • to be replaced by full simulation and reconstruction framework in the future
track & jet parameters (LCIO format) release planned in mid 2006 first release later extensions neural net ZVTOP (ZVRES & ZVKIN) charge dipole use of additional information (e.g. particle ID) NN-based flavour tag quark-sign selection for charged vertices vertex quantities, flavour tag, vertex charge (LCIO format) The LCFI Vertex Package ready being written coded and under test under development ready for b bbar; to be extended to c cbar people involved: Dave Jackson, Dave Bailey Ben Jeffery, Mark Grimes, Sonja Hillert people involved: Dave Jackson, Dave Bailey Ben Jeffery, Mark Grimes, Sonja Hillert joining soon: Victoria Martin
Vertex Package Validation • fast MC SGV provides good basis for testing the new software: no complication from issues • like track finding / pattern recognition at subdetector interfaces seen in the past in full MC • results for performance obtained with FORTRAN version of ZVTOP available for cross-checks • detailed comparison of different versions possible by using identical input events • C++ based code should perform at least as well as FORTRAN version; • improvements of code wrt FORTRAN will be guided by comparison with MC information • first replace core ZVTOP, then also replace calculation of input variables for flavour tag • neural net and vertex charge reconstruction; at each stage compare performance • final step before release: • interface to LCIO to allow package to be included in the standard ILC software
250 mm 60 mm 25 mm 15 mm 8 mm e+e- BEAM 100 mm S. Hillert Comparing different detector designs Exploration of different detector designs straightforward in SGV • importance of small beam pipe radius demonstrated • by recent study of probability l0 for reconstructing • neutral hadron as charged (Snowmass 2005) • differences between designs most pronounced at • low jet energy and large cos q • Study recently begun (Erik Devetak): • variation of positions of all detector layers • evaluation of effects of reduced hit efficiency • and comparison to loss of complete sensor
S. Riemann LC-TH-2001-007 Study of physics processes • extra-dimensions model predicts deviation of ALR • from Standard Model ine+e- b bbar • quark charge sign selection (obtained from vertex charge, for charged hadrons) permits unfolding cross section • study of this channel to begin soon (Ben Jeffery, Sonja Hillert) • other processes expected to be sensitive to quark charge sign selection & detector design • includeHiggs (e.g. e+e- ZHH) and SUSY studies • LCFI in contact with Lancaster group studying scalar top production • motivation: dark matter theory, study expected to be sensitive to charm tagging • signal extracted using Iterative Discriminant Analysis (IDA); result used to compare different • detector designs; for further details see presentation by A Sopczak at LCWS 2006