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Noise reduction and peak detection in x-ray diffraction data by linear and nonlinear methods.
- Source :
- Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics; Jul2023, Vol. 41 Issue 4, p1-9, 9p
- Publication Year :
- 2023
-
Abstract
- Considerable progress has been made in the last few years in removing white noise from visible–near-ultraviolet (UV/VIS) spectra while leaving information intact. For x-ray diffraction, the challenges are different: detecting and locating peaks rather than line shape analysis. Here, we investigate possibilities of state-of-the-art UV/VIS methods for noise reduction, peak detection, and peak location applied to x-ray diffraction data, in this case, data for a ZrO<subscript>2</subscript> −33 mol. % TaO<subscript>4</subscript> ceramic. The same advantages seen in UV/VIS spectroscopy are found here as well. [ABSTRACT FROM AUTHOR]
- Subjects :
- X-ray detection
X-ray diffraction
WHITE noise
NOISE control
X-ray powder diffraction
Subjects
Details
- Language :
- English
- ISSN :
- 21662746
- Volume :
- 41
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Vacuum Science & Technology: Part B-Nanotechnology & Microelectronics
- Publication Type :
- Academic Journal
- Accession number :
- 165475715
- Full Text :
- https://doi.org/10.1116/6.0002526