K-mean clustering algorithm for processing signals from compound semiconductor detectors

Tsutomu Tada, Keitaro Hitomi, Yan Wu, Seong Yun Kim, Hiromichi Yamazaki, Keizo Ishii

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


The K-mean clustering algorithm was employed for processing signal waveforms from TlBr detectors. The signal waveforms were classified based on its shape reflecting the charge collection process in the detector. The classified signal waveforms were processed individually to suppress the pulse height variation of signals due to the charge collection loss. The obtained energy resolution of a 137Cs spectrum measured with a 0.5 mm thick TlBr detector was 1.3% FWHM by employing 500 clusters.

Original languageEnglish
Pages (from-to)242-246
Number of pages5
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Issue number1
Publication statusPublished - 2011 Dec 11


  • Clustering algorithm
  • Digital signal processing
  • Thallium bromide


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