NUCLEAR TECHNIQUES, Volume. 47, Issue 3, 030102(2024)
Background sequence prediction for TXM-XANES based on polynomial regression and linear interpolation
Fig. 1. Schematic of SSRF BL18B end station (a) and field photograph (b)
Fig. 2. Illustration of conventional TXM-XANES method(a) Flowchart of data acquisition, (b) Diagram of TXM-XANES data processing
Fig. 3. (a) Workflow of algorithm model process, (b) Diagram of overall model structure design
Fig. 4. Experimental results of TXM-XANES for Ni standard powder sample(a) TXM projection, (b) 2D energy distribution map obtained by conventional TXM-XANES, (c) 2D energy distribution map obtained by improved TXM-XANES, XANES spectra of region ① (d), random points ② (e), and region ③ (f)
Fig. 5. Experimental results of TXM-XANES for NiO standard powder sample(a) TXM projection, (b) 2D energy distribution map obtained by conventional TXM-XANES, (c) 2D energy distribution map obtained by improved TXM-XANES, XANES spectra of region ① (d), random points ② (e), and region ③ (f)
Fig. 6. Experimental results of TXM-XANES for pristine NCM811 particle sample(a) TXM projection, (b) 2D energy distribution map obtained by conventional TXM-XANES, (c) 2D energy distribution map obtained by improved TXM-XANES, XANES spectra of region ① (d), random points ② (e), and region ③ (f)
Fig. 7. Experimental results of TXM-XANES for cycled NCM811 particle sample(a) TXM projection, (b) 2D energy distribution map obtained by conventional TXM-XANES, (c) 2D energy distribution map obtained by improved TXM-XANES, XANES spectra of region ① (d), random points ② (e), and region ③ (f)
Fig. 8. Comparison of spectra obtained by XANES method for Ni/NiO standard sample (a) and NCM811 particles (b)
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Yanjun XING, Ruoyang GAO, Ling ZHANG, Fen TAO, Yi LIU, Biao DENG. Background sequence prediction for TXM-XANES based on polynomial regression and linear interpolation[J]. NUCLEAR TECHNIQUES, 2024, 47(3): 030102
Category: Research Articles
Received: Oct. 29, 2023
Accepted: --
Published Online: Apr. 29, 2024
The Author Email: LIU Yi (LIUYi), DENG Biao (DENGBiao)