Abstract
CLYC is a scintillation material that is a viable alternative to 3He for neutron detection because the shape of the scintillation emission depends on the linear energy transfer producing the event, e.g., electrons from gamma-rays versus charged ions from neutrons. Analyzing the pulse shape on an event-by-event basis discriminates the neutron events from the gamma-ray event, which is called pulse shape discrimination. The long decay time associated with the scintillation emission of CLYC can result in pulse pile-up for event rates exceeding 100 kHz. One method to address this issue is to develop digital signal processing algorithms to remove pile up, while providing gamma-neutron discrimination and gamma spectra. Research on the algorithm development using saved CLYC pulses processed offline on a personal computer with C++ code indicate that CLYC can provide pulse shape discrimination exceeding 600,000 events per second, primarily from gamma events. The algorithm digitally suppressed the decay tail, allowing for unique temporal identification of a pulse (pile-up removal). Additional filtering of the pulse is done to reduce noise, and peak-to-tail information is obtained on filtered data within a time frame less than 1 μs to provide the pulse shape discrimination.
Original language | English (US) |
---|---|
Title of host publication | 2015 IEEE International Symposium on Technologies for Homeland Security, HST 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 9781479917372 |
DOIs | |
State | Published - Aug 26 2015 |
Externally published | Yes |
Event | IEEE International Symposium on Technologies for Homeland Security, HST 2015 - Waltham, United States Duration: Apr 14 2015 → Apr 16 2015 |
Other
Other | IEEE International Symposium on Technologies for Homeland Security, HST 2015 |
---|---|
Country/Territory | United States |
City | Waltham |
Period | 4/14/15 → 4/16/15 |
Keywords
- CLYC
- digital signal processing
- neutron
- pile-up rejection
- pulse shape discrmination
ASJC Scopus subject areas
- Computer Science Applications
- Safety, Risk, Reliability and Quality
- Law