Minutes SLT meeting Zeuthen April 26, 27 Present: H. Albrecht R. Dippel M. Feuerstack A. Gellrich J. D. Hansen J. R. Hansen H. Kolonoski P. Kreuzer I. Legrand H. Leich R. Mankel M. Medinnis C. Polenz D. Ressing F. Saadi A. Schwarz U. Schwendicke H. Thurn P. von Walter P. Wegner R. Wurth J. Zweizig 1. the l2simu framework M. Medinnis A general framework for writing code destined for a distributed system of processors such as forseen for the SLT has been written and was described. Processor configurations consisting of modules, their interconnections and pointers to the processes which run in them are specified in tables, mostly in a single file, called the configuration file. The configuration file, together with the code destined for running in the modules fully define an SLT configuration and algorithm. The program also provides a means for HBGean-generated data to be routed to appropriate modules (which simulate the L2 buffer). In its current version, the program is appropriate for developing the logic of SLT algorithms. Future versions will allow for some timing measurements, better debugging facilities, etc. A memo describing this framework: "Framework for L2SIMU: the SLT Simulation and Development Program" is available. 2. FLT refit progress report H. Thurn The first step of the SLT algorithm is the refit of tracks found by the FLT. Progress on this step was reported. A realistic configuration file exists which assigns one DSP to each section of the outer and inner trackers, for each of six superlayers (96 modules plus a few pseudo-modules), together with the interconnections and connections to the L2 Buffer has been set up. The configuration was checked by injecting data from leptons from Pythia generated J/Psi decays into the system and propagating them through the system using only the generated track parameters (not a Kalman filter). A Kalman filter algorithm for the FLT refit has been designed. The next step is to turn it into code. 3. Silicon algorithm: progress and benchmarks J.D. Hansen The Fortran code used for the estimates given in the TDR was rewritten in C (although not yet in the L2Simu framework described above). [The Kalman filter algorithm is essentially as before but the track acceptance criteria are significantly different. MM]. The algorithm was then benchmarked on various processors using the same data sample used for the TDR estimates. The results are: Processor Clock(MHz)