Testing the Limits of Smart Streaming: Jefferson Lab’s Trial Run of Next-Generation Data Acquisition

A Test Run for Smart Streaming Readings

Jefferson Lab tests the next-generation scheme for data acquisition

As researchers continue to probe deeper into the core of matter, nuclear physics experiments are becoming more and more data-intensive. Nuclear physicists now use artificial intelligence and machine-learning methods to sort through the data in real time.

A recent test of these systems at the Thomas Jefferson National Accelerator facility of the U.S. Department of Energy found that they are capable of real-time processing of data. These systems would allow for a more efficient and faster data analysis, as well as retaining more original data than conventional systems. This work was described in an article published recently in The European Physical Journal Plus.