Accurate timing in cosmic ray detection is critical for reconstruction of events from multiple scattered detectors. Since most of the detectors dedicated to study cosmic rays generate continuous analog signals, a precise timing depends on the sampling rate and the subsequent triggering system operating on the generated digital data stream. In this paper, a data acquisition platform based on a fully programmable System-On-Chip (SoC) and a high-speed analog to digital converter, able to manage 8-bit data resolution, 500MHz sampling rate and GPS connection for data synchronization is presented. The SoC is a ZYNQ 7000 device with a Field Programmable Gate Array (FPGA) and a dual core ARM processor embedded on a single chip. The system achieves 2 ns time resolution and is also able to increase data amplitude resolution through oversampling and can simultaneously generate a real time histogram of the incoming data. The platform has an embedded high voltage power supply control with temperature and pressure compensation for optimal and stable operation of different detectors. While the time critical activities are handled and carried out by the FPGA, software running on the dual core ARM processor with a real time operating system (FreeRTOS) provides Ethernet connection for remote control of the platform.
Configuring and setting up a remote access laboratory for an advanced online school on fully programmable System-on-Chip (SoC) proved to be an outstanding challenge. The school, jointly organized by the International Centre for Theoretical Physics (ICTP) and the International Atomic Energy Agency (IAEA), focused on SoC and its applications to nuclear and scientific instrumentation and was mainly addressed to physicists, computer scientists and engineers from developing countries. The use of e-learning tools, which some of them adopted and others developed, allowed the school participants to directly access both integrated development environment software and programmable SoC platforms. This facilitated the follow-up of all proposed exercises and the final project. During the four weeks of the training activity, we faced and overcame different technology and communication challenges, whose solutions we describe in detail together with dedicated tools and design methodology. We finally present a summary of the gained experience and an assessment of the results we achieved, addressed to those who foresee to organize similar initiatives using e-learning for advanced training with remote access to SoC platforms.
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