Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1832094 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2007 | 8 Pages |
Abstract
Principal component analysis was applied for a noise reduction in prompt gamma spectra, especially acquired in short times, with the aim of improving signal-to-noise ratio. After the noise reduction, relevant information was preserved in the models while discarding much of the noise, and the signal-to-noise ratio was enhanced in the noisy prompt gamma spectra measured for 20Â s. History data, which has multi elements and accurate peak positions of interest with a long enough measurement time, should be prepared for an effective noise reduction.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Instrumentation
Authors
Hee-Jung Im, Yun-Hee Lee, Yong Joon Park, Byoung Chul Song, JungHwan Cho, Won-Ho Kim,