FPGA Based Detector Signal Processing
Course 0000003745 in WS 2017/8
General Data
| Course Type | lecture |
|---|---|
| Semester Weekly Hours | 2 SWS |
| Organisational Unit | Hadronic Structure and Fundamental Symmetries |
| Lecturers |
Igor Konorov Responsible/Coordination: Stephan Paul |
| Dates |
Thu, 14:00–16:00, PH 3268 |
Assignment to Modules
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PH2101: Signalverarbeitung mit FPGAs für Detektoren / FPGA based detector signal processing
This module is included in the following catalogs:- Specific catalogue of special courses for nuclear, particle, and astrophysics
- Specific catalogue of special courses for Applied and Engineering Physics
- Focus Area Bio-Sensors in M.Sc. Biomedical Engineering and Medical Physics
- Complementary catalogue of special courses for condensed matter physics
- Complementary catalogue of special courses for Biophysics
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | FPGA-based Detector Signal and Data Processing in Experimental Physics Modern experiments often have a very high data-throughput, this can only be handled by online data processing which can not be performed by computers. In order to fulfill the requirements, custom electronics employing FPGAs are used. This lecture gives an introduction to FPGA technology and its applications for research in High Energy Physics. Students will gain knowledge in VHDL and testbench coding technique and become familiar with Xilinx Vivado FPGA development tools. The course includes an introduction to real time digital signal processing as well. The following subject will be discussed during the course: - FPGA technology, FPGA architecture; - boolean algebra, digital data, digital circuits; - Introduction to VHDL (Very high speed integrated circuits Hadware Description Language); - Vivado Xilinx FPGA development tools; - Detector readout technique, time and amplitude measurements; - Data processing, signal detection, feature extraction; - Digital filters, Fast Fourier Transform (FFT) algorithm; The course consists of lectures and a lab course. During the lab course students will develop a data acquisition system which includes the discussed techniques of signal processing. It's required that every student has a personal computer in order to access a workstation with installed Vivado software tools. The course is advised for master students who is interested in experimental physics. |
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| Links |
E-Learning course (e. g. Moodle) TUMonline entry |