Streaming readout gives opportunity to streamline workflows and to take advantage of other emerging technologies, e.g., artificial intelligence (AI) or machine learning (ML). In the INDRA-ASTRA project, we have explored the possibility for automated calibrations using AI / ML which would allow a rapid turnaround from data taking to physics results.
We introduce the ADWIN algorithm for detecting changes in streaming data and present an example implementation of ADWIN to detect sudden and gradual changes in a sample of ZEUS MC data. We compare the algorithm between one-dimensional and two-dimensional cases and give an example of integrating a simple, near-real time calibration method with ADWIN.
Status of test runs
Status of test run analysis
Singlescale Shift Online Method: Is shifting by +1 sufficient?
How can we show that the method gives the correct results beyond detector tests?
ERSAP Update
Status of compiling the code
