Quantitative analysis method of Mars LIBS spectral data based on transfer component analysis

WU Minhao; CHEN Jing; ZHENG Ziyu; LI Xuanyou; WANG Shuang; DING Yu

doi:10.3969/j.issn.1007-5461.2024.03.008

Chinese Journal of Quantum Electronics, Volume. 41, Issue 3, 463(2024)

Quantitative analysis method of Mars LIBS spectral data based on transfer component analysis

WU Minhao1...2,3,*, CHEN Jing1,2,3, ZHENG Ziyu1,2,3, LI Xuanyou1,2,3, WANG Shuang1,2,3, and DING Yu1,23 |Show fewer author(s)

Author Affiliations

¹Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China

²Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China

³Jiangsu Engineering Research Center on Meteorological Energy Using and Control, Nanjing University of Information Science & Technology, Nanjing 210044, China

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Figures & Tables(9)

$Density distribution map of K2O mass fraction in the training set$

Fig. 1. Density distribution map of K₂O mass fraction in the training set

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Fig. 2. Spectra of Shergottite sample in real and simulated Martian environment

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Fig. 3. Influence of decision tree number on E_MA and E_RMS

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Fig. 4. RF model prediction graph

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Fig. 5. Effect of $λ$ and γ on E_RMS

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Fig. 6. TCA-RF model prediction graph

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$Scatter plots of K2O mass fraction of samples with three prediction models. (a) NAU2HIS; (b) NAU2LOS;(c) NAU2MEDS; (d) Norite; (e) Picrite; (f) Shergottite$

Fig. 7. Scatter plots of K₂O mass fraction of samples with three prediction models. (a) NAU2HIS; (b) NAU2LOS;(c) NAU2MEDS; (d) Norite; (e) Picrite; (f) Shergottite

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Table 1. Mass fraction of K₂O in the test set samples
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Table 1. Mass fraction of K₂O in the test set samples
Sample Mass fraction of K₂O Number of spectra
NAU2HIS 0.16 32
NAU2LOS 0.40 10
NAU2MEDS 0.29 10
Norite 0.06 28
Picrite 0.10 11
Shergottite 0.11 48

Table 2. Comparison results of D_S and E_RMS of the three algorithms

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Table 2. Comparison results of D_S and E_RMS of the three algorithms

Sample	RF		MOC		TCA-RF		TCA-RF change amplitude
Sample	D_S	E_RMS	D_S	E_RMS	D_S	E_RMS	vs RF (D_S, E_RMS)		vs MOC (D_S, E_RMS)
NAU2HIS	0.301	1.078	0.012	0.115	0.018	0.032	94.0%	97.0%	-50.0%	72.2%
NAU2LOS	0.214	0.857	0.009	0.341	0.022	0.278	89.7%	67.6%	-144%	18.5%
NAU2MEDS	0.281	0.811	0.009	0.220	0.015	0.157	94.7%	80.6%	-66.7%	28.6%
Norite	0.114	1.486	0.015	0.046	0.015	0.082	86.8%	94.5%	0%	-78.3%
Picrite	0.128	1.260	0.016	0.029	0.054	0.076	57.8%	94.0%	-237%	-162%
Shergottite	0.420	1.397	0.420	0.425	0.018	0.038	95.7%	97.3%	94.0%	91.1%

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Minhao WU, Jing CHEN, Ziyu ZHENG, Xuanyou LI, Shuang WANG, Yu DING. Quantitative analysis method of Mars LIBS spectral data based on transfer component analysis[J]. Chinese Journal of Quantum Electronics, 2024, 41(3): 463

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