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Development of a time-stamped distributed data acquisition system for K=600 Spectrometer
Author(s)
Losper, Bertram Marinus
Date Issued
2021
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
This study discusses the development of a new prototype Distributed Data
Acquisition System with optional event timestamp that can be used with the K600
spectrometer facility at iThemba LABS. This work is part of on an ongoing project known as
the Dolosse data acquisition system and will focus on the development of a new data
acquisition system with timestamping capabilities on the spectrometer’s crate controller
single-board computer that is based on the project’s architecture. Direct memory access
transfer and fragmented readout are proposed to allow efficient data transmission using an
open-source stream-processing software platform as an external event buffer. Using this new
data acquisition system an event timestamp can be added to the system’s read-out pipeline
while still maintaining the real-time requirements of the system. To make sure the project is
successful, structured programming practices and modular decomposition development
methodologies are used to enhance the software quality of project. It is shown that the new
data acquisition readout software system fulfills the functional requirements by adding a
timestamp to physics event, and the readout of said event data using open source streaming
technologies.
Acquisition System with optional event timestamp that can be used with the K600
spectrometer facility at iThemba LABS. This work is part of on an ongoing project known as
the Dolosse data acquisition system and will focus on the development of a new data
acquisition system with timestamping capabilities on the spectrometer’s crate controller
single-board computer that is based on the project’s architecture. Direct memory access
transfer and fragmented readout are proposed to allow efficient data transmission using an
open-source stream-processing software platform as an external event buffer. Using this new
data acquisition system an event timestamp can be added to the system’s read-out pipeline
while still maintaining the real-time requirements of the system. To make sure the project is
successful, structured programming practices and modular decomposition development
methodologies are used to enhance the software quality of project. It is shown that the new
data acquisition readout software system fulfills the functional requirements by adding a
timestamp to physics event, and the readout of said event data using open source streaming
technologies.
Additional information
Thesis (MEng (Electrical, Electronic and Computer Engineering))--Cape Peninsula University of Technology, 2021
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