Summary
2024 JSA Postdoctoral Prize Winner Debaditya Biswas will combine different particle identification methods with machine learning to detect muons. Detecting these particle pairs will tell scientists more about the internal structure of protons and neutrons.
Pion background is the biggest obstacle to muon detection in DDVCS experiments. The Jefferson Lab Users Organization (JLUO) Board of Directors has awarded the JSA Postdoctoral Prize since 2008.
Biswas plans to tackle muon detection from different angles to see which method, or methods, will work best. “Because it’s a complicated process, I don’t predict one method will work by itself,” he said.
PSD can be cleaner than other PID methods, meaning less of the desired signal is discarded with the background. It's typically employed in lower energy experiments and has not yet been tested in Hall C.
“I want to bring together experts from different labs and with diverse expertise so that we can share our results and discuss,” Biswas said.
