Unsupervised Learning for Improved Gamma-Ray Spectrometry in Pixelated Cadmium Zinc Telluride (CZT) Detectors
Author:
Affiliation:
1. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Mailstop 50C3396, Berkeley, California 94720
Funder
National Nuclear Security Administration of the U.S. Department of Energy (DOE), Office of International Nuclear Safeguards
DOE by Lawrence Berkeley National Laboratory
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00295639.2024.2347686
Reference23 articles.
1. W. KAYE, M. STREICHER, and F. ZHANG, “In-situ Sample Analysis with Portable Gamma Spectrometers,” Proc. 15th Int. Congrress on the International Radiation Protection Assocoation (2015).
2. “M400 Custom Integrable Detector Module ” H3D Inc.; https://h3dgamma.com/M400Specs.pdf (current as of Aug. 1 2023).
3. Spatial variation of energy resolution in 3-D position sensitive CZT Gamma-Ray spectrometers
4. Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)
5. Learning the parts of objects by non-negative matrix factorization
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