Laboratory of Data Acquisition and Control
1° Year of course - Second semester
Frequency Not mandatory
- 6 CFU
- 72 hours
- ITALIANO
- Trieste
- Opzionale
- Standard teaching
- Oral Exam
- SSD FIS/01
- Advanced concepts and skills
In the course, after a brief introduction on Boolean logic, logic signals and the use of the oscilloscope, the focus is on the use of modular NIM and VME electronics for the treatment of analog and logic signals (for example discriminators, counters, coincidences , delays, etc.), data acquisition and control, on Labview software for data acquisition and Root for data analysis. To put the acquired knowledge into practice, the students build an experimental setup to measure time-of-flight and charge deposited with TDC and ADC. With this experimental setup, data samples are acquired with significant acquisition times for the measurements and calibrations of the instruments used. In a subsequent phase, the students analyze the acquired data and finally prepare a written report to be discussed in the exam. This practical laboratory experience is carried out independently by small groups of students with the assistance of teachers, available, but upon request, in all steps. D1 - Knowledge and understanding. At the end of the course, the student should know the basic principles of logic in digital electronics, use of the oscilloscope as a tool for basic diagnostics in laboratory setups, be able to design a circuit with triggers of a certain degree of complexity, to acquire data of physical signals. Be able to analyze the acquired data. D2 - Ability to apply knowledge and understanding. The student should be able to implement the above with NIM and VME modular electronics, Labview software for data acquisition and Root for data analysis. Use of the oscilloscope and thorough debugging of software codes will be continuously required to understand all critical steps. D3 - Making judgments. The student will have to develop the ability to set up and solve independently and with discussions within his work group, both the laboratory sessions of the first part of the course and the final project. D4 - Communication skills. At the end of the course, the student must be able to explain in a proper, clear and rigorous way, both in written and oral form, the main contents of the course, describe the construction of the experimental setup, the purpose of the laboratory measurements, data analysis of measurements. D5 - Learning ability. The student must be able to autonomously, critically and concisely collect information from the material illustrated in class and collected on the moodle site of the course, including recommended textbooks, articles, manuals of used electronic modules, manuals of used software.
knowledge of nuclear and parcile physics, particle detectors and basic programming
- Boolean logic; Electronic logic (NIM, TTL, ECL) - Fast Pulse Instrumentation (Discriminators, CFTD, Coincidences) - Trigger Logic - Time Interval Measurements (TAC and TDC's), and Analog Measuring Instruments (ADC's) - Software tools for Data Analysis (C++/Root Environment) - Software tools for Data Acquisition and Control (Labview) - Electronics for Data Acquisition: Standard VME - Control and data acquisition with FPGA: FPGA architecture; FPGA design; hardware description language VHDL; implementation of data processing and acquisition tools on FPGA and data taking.
W.R.Leo, TEchniques for Nuclear and Particle Physics Experiments, Spinger-Verlag
- Boolean logic; Electronic logic (NIM, TTL, ECL) - Fast Pulse Instrumentation (Discriminators, CFTD, Coincidences) - Trigger Logic - Time Interval Measurements (TAC and TDC's), and Analog Measuring Instruments (ADC's) - Software tools for Data Analysis (C++/Root Enviroenment) - Software tools for Data Acquisition and Control (Labview) - Electronics for Data Acquisition: Standard VME - Control and data acquisition with FPGA: FPGA architecture; FPGA design; hardware description language VHDL; implementation of data processing and acquisition tools on FPGA and data taking.
About 5-6 class lectures and two mini-courses on IT tools with all students. The main activity is carried out in the laboratory (hands-on sessions), with small groups of students working in one of the five available workstations, under the professors guidance.
go to the official moodle2 home page https://moodle2.units.it/ and links therein quoted, or go directly to https://wwwusers.ts.infn.it/~rui/univ/Acquisizione_Dati/index.html
The exam methods are explained by the professor to the students during the presentation of the course in the first lesson. Students may choose to take the exam in Italian or English. Students prepare a written report on a given experimental measurement, the data acquisition system adopted and the analysis of the experimental results, followed by a discussion with the examination committee . Possible measurements: https://wwwusers.ts.infn.it/~rui/univ/Acquisizione_Dati/assignments.html Any changes to the methods described herein, which may be made necessary to ensure the application of security protocols linked to any emergency situations will be communicated in the websites of the Department and the moodle course itself.