The hardware track finder processor in CMS at CERN

The work covers the design of the Track Finder Processor in the high energy experiment CMS (Compact Muon Solenoid, planned for 2005) at CERN/Geneva. The task of this processor is to identify muons and measure their transverse momentum. The track finder processor makes it possible to determine the physical relevance of each high energetic collision and to forward only interesting data to the data an alysis units. Data of more than two hundred thousand detector cells are used to determine the location of muons and measure their transverse momentum. Each 25 ns a new data set is generated. Measurem ent of location and transverse momentum of the muons can be terminated within 350 ns by using an ASIC (Application Specific Integrated Circuit). A pipeline architecture processes new data sets with th e required data rate of 40 MHz to ensure dead time free operation. In the framework of this study specifications and the overall concept of the track finder processor were worked out in detail. Simul ations were performed in order to select the most appropriate measurement method and implementation technology. Already existing systems were evaluated and their specifications were compared with thos e of the track finder processor's. The classic method in high energy physics experiments is to search for predefined tracks or bit patterns in the measurement data and to determine their properties. T he predefined patterns are compared to the found patterns. The high number of data channels of the track finder processor and the complex requirements to the spatial detector resolution do not permit to employ a pattern comparison method. A so called track following algorithm was designed, which is able to assemble complete tracks through the whole detector starting from single track segments. Ins tead of storing a high number of track patterns an algorithm for track finding and momentum measurement is employed directly. This enables to realize a hardware implementation within the requirements given by the experiment. The algorithm was translated to the level of digital electronics. Comprehensive simulations, employing the hardware simulation language VHDL, were conducted in order to optimi ze the algorithm and its hardware implementation. An FPGA (field programmable gate array)-prototype and a test system was designed. A feasibility study to implement the track finder processor employin g ASICs was conducted. The study proves that the track finder processor can be implemented using today's technology

Technical Design Report for the PANDA Micro Vertex Detector

This document illustrates the technical layout and the expected performance of the Micro Vertex Detector (MVD) of the PANDA experiment. The MVD will detect charged particles as close as possible to the interaction zone. Design criteria and the optimisation process as well as the technical solutions chosen are discussed and the results of this process are subjected to extensive Monte Carlo physics studies. The route towards realisation of the detector is outlined

Technical Design Report for the: PANDA Micro Vertex Detector

This document illustrates the technical layout and the expected performance of the Micro Vertex Detector (MVD) of the PANDA experiment. The MVD will detect charged particles as close as possible to the interaction zone. Design criteria and the optimisation process as well as the technical solutions chosen are discussed and the results of this process are subjected to extensive Monte Carlo physics studies. The route towards realisation of the detector is outlined.Comment: 189 pages, 225 figures, 41 table

Particle Physics Reference Library

This second open access volume of the handbook series deals with detectors, large experimental facilities and data handling, both for accelerator and non-accelerator based experiments. It also covers applications in medicine and life sciences. A joint CERN-Springer initiative, the “Particle Physics Reference Library” provides revised and updated contributions based on previously published material in the well-known Landolt-Boernstein series on particle physics, accelerators and detectors (volumes 21A,B1,B2,C), which took stock of the field approximately one decade ago. Central to this new initiative is publication under full open access

Gluons and the quark sea at high energies: distributions, polarization, tomography

This report is based on a ten-week program on "Gluons and the quark sea at high-energies", which took place at the Institute for Nuclear Theory in Seattle in Fall 2010. The principal aim of the program was to develop and sharpen the science case for an Electron-Ion Collider (EIC), a facility that will be able to collide electrons and positrons with polarized protons and with light to heavy nuclei at high energies, offering unprecedented possibilities for in-depth studies of quantum chromodynamics. This report is organized around four major themes: i) the spin and flavor structure of the proton, ii) three-dimensional structure of nucleons and nuclei in momentum and configuration space, iii) QCD matter in nuclei, and iv) Electroweak physics and the search for physics beyond the Standard Model. Beginning with an executive summary, the report contains tables of key measurements, chapter overviews for each of the major scientific themes, and detailed individual contributions on various aspects of the scientific opportunities presented by an EIC.Comment: 547 pages, A report on the joint BNL/INT/Jlab program on the science case for an Electron-Ion Collider, September 13 to November 19, 2010, Institute for Nuclear Theory, Seattle; v2 with minor changes, matches printed versio

Application Of A High Speed Analog Neural Network Chip In The First Level Rz-Trigger Of The H1-Experiment At Hera

this paper we describe how a very fast neural network classifier can be used to substitute the third unit of the RZ-trigger giving improved and more reliable results. The task of the neural classifier is to separate physics from background by a vertex Neural Network for RZ-trigger Manuscripts 3 peak recognition in the z-vertex-histogram