Speaker
Description
The rapid evolution of detector technologies and increasing beam intensities in nuclear physics experiments are driving a paradigm shift in data acquisition (DAQ) systems, from conventional trigger-based schemes to streaming-readout architectures. Challenges associated with trigger generation in complex detector systems, as well as the growing data throughput and trigger rates, are becoming increasingly common across nuclear physics facilities.
Streaming readout provides an effective solution to these challenges by enabling scalable, trigger-less data acquisition systems adaptable from small- to large-scale experiments.
The SPADI Alliance (Signal Processing and Data Acquisition Infrastructure Alliance) aims to develop a common streaming DAQ system, establish it as a de facto standard, and sustain a long-term development and maintenance framework. The development scope spans front-end electronics, precise time synchronization, data transfer protocols, DAQ software, data processing frameworks, accelerator-assisted fast processing, computing farms, and user interfaces.
The developed system has already been deployed in physics experiments at RCNP, as well as in beam tests at J-PARC and RARiS.
In this paper, we present the architecture and implementation of the streaming-readout system developed within the SPADI Alliance and discuss future development plans and perspectives.