The INDRA-ASTRA project is part of the ongoing R&D on streaming readout and AI/ML at Jefferson Lab. In the interdisciplinary project, nuclear physicists and data scientists work towards a prototype for an autonomous, responsive detector system as a first step towards a fully autonomous experiment. In our presentation, we will present our method for autonomous calibration of DIS experiments using baseline calibrations and autonomous change detection via the multiscale method. We will demonstrate how the versatile multiscale method we have developed can be used to increase reliability of data and find and fix issues in near real time. We will show test results from a prototype detector and the running, large-scale SBS experiment at Jefferson Lab.
|Consider for long presentation||Yes|