• Chinese Journal of Quantum Electronics
  • Vol. 41, Issue 3, 543 (2024)
WANG Shaoyi1, FENG Zhongqi1, XU Wenzhong2,3,*, HOU Jiajia1..., LU Zhiyong2,3, ZHANG Yongjian4 and ZHANG Dacheng1,**|Show fewer author(s)
Author Affiliations
  • 1School of Optoelectronic Engineering, Xidian University, Xi'an 710071, China
  • 2Shaanxi History Museum, Xi'an 710061, China
  • 3Key Scientific Research Base of Mural Painting Conservation & Material Research, State Administration for Cultural Heritage,Shaanxi History Museum, Xi'an 710061, China
  • 4Shaanxi Academy of Archaeology, Xi'an 710054, China
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    DOI: 10.3969/j.issn.1007-5461.2024.03.016 Cite this Article
    Shaoyi WANG, Zhongqi FENG, Wenzhong XU, Jiajia HOU, Zhiyong LU, Yongjian ZHANG, Dacheng ZHANG. Rapid identification of ceramic fragments by laser‐induced breakdown spectroscopy[J]. Chinese Journal of Quantum Electronics, 2024, 41(3): 543 Copy Citation Text show less
    Schematic diagram (a) and photogragh (b) of LIBS device[8]
    Fig. 1. Schematic diagram (a) and photogragh (b) of LIBS device[8]
    Photograph of ceramic sherd samples. (a) Ancient ceramics; (b) Modern ceramics
    Fig. 2. Photograph of ceramic sherd samples. (a) Ancient ceramics; (b) Modern ceramics
    LIBS spectra of three ceramic sherd samples. (a) Glaze; (b) Clay
    Fig. 3. LIBS spectra of three ceramic sherd samples. (a) Glaze; (b) Clay
    Curve of contribution with the number of principal components
    Fig. 4. Curve of contribution with the number of principal components
    Load plots of characteristic spectral lines of the 10 elements
    Fig. 5. Load plots of characteristic spectral lines of the 10 elements
    Plot of principal component scores of the glaze spectra of 6 ancient ceramic sherd samples
    Fig. 6. Plot of principal component scores of the glaze spectra of 6 ancient ceramic sherd samples
    Confusion matrix of the classification results of the 6 ancient ceramic sherd samples
    Fig. 7. Confusion matrix of the classification results of the 6 ancient ceramic sherd samples
    Plot of principal component scores of clay spectra of Yaozhou samples
    Fig. 8. Plot of principal component scores of clay spectra of Yaozhou samples
    Scatter plot of LDA obtained for the Yaozhou samples according to the first three discriminant functions. (a) Training set; (b) Test set
    Fig. 9. Scatter plot of LDA obtained for the Yaozhou samples according to the first three discriminant functions. (a) Training set; (b) Test set
    Terra cotta PCA scores plot of 18 ceramic sherds obtained from the first three principal components
    Fig. 10. Terra cotta PCA scores plot of 18 ceramic sherds obtained from the first three principal components
    LDA scatter plot obtained from the first three discriminant functions. (a) Training set; (b) Test set
    Fig. 11. LDA scatter plot obtained from the first three discriminant functions. (a) Training set; (b) Test set
    Confusion matrix for classification results of the 18 ceramic sherd samples
    Fig. 12. Confusion matrix for classification results of the 18 ceramic sherd samples
    Place of originNumberRelative intensity
    SiCaMgAlFeTi
    Jingdezhen110.930.490.920.280.14
    210.670.460.990.260.13
    Longquan110.640.600.930.36
    210.380.420.42
    Yaozhou110.510.711.110.730.50
    210.450.610.900.380.20
    310.640.651.040.370.20
    410.630.440.800.240.16
    510.500.510.830.360.23
    610.770.510.860.350.22
    710.500.450.950.400.23
    810.490.611.020.400.24
    Table 1. Relative intensity of the characteristic spectral lines of various elements in the glaze layer of ceramic fragments
    Shaoyi WANG, Zhongqi FENG, Wenzhong XU, Jiajia HOU, Zhiyong LU, Yongjian ZHANG, Dacheng ZHANG. Rapid identification of ceramic fragments by laser‐induced breakdown spectroscopy[J]. Chinese Journal of Quantum Electronics, 2024, 41(3): 543
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