FWHM optimized polynomial smoothing filters: A practical approach-Reference-Cited by-同舟云学术

FWHM optimized polynomial smoothing filters: A practical approach

Published:2003-09 Issue:3 Volume:18 Page:199-204
ISSN:0885-7156
Container-title:Powder Diffraction
language:en
Short-container-title:Powder Diffr.

Author:

Dinnebier Robert E.

Abstract

A modified method for polynomial smoothing and the calculation of derivatives of equally spaced step scan powder diffraction data is presented. The algorithm takes the angular dependence of the full width at half maximum (FWHM) of diffraction peaks into account, is very effective, and easy to code.

Publisher

Cambridge University Press (CUP)

Subject

Condensed Matter Physics,Instrumentation,General Materials Science,Radiation

Reference38 articles.

1. Digital filter for computationally efficient smoothing of noisy spectra

2. Absorption corrections and digital filtering of X-ray diffraction profiles recorded with a position-sensitive detector

3. Smoothing and differentiation of data by simplified least square procedure

4. Optimization of Stepsize in X-Ray Powder Diffractogram Collection

5. Denoyer, L. K., and Dodd, J. G. (1990). “Maximum likelihood smoothing of noisy data,” International Laboratory, 16–23.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Pipelining Implementation for Parsing X-ray Diffraction Source Data and Removing the Background Noise;Journal of Physics: Conference Series;2010-11-01

2. Powder3D: An easy to use program for data reduction and graphical presentation of large numbers of powder diffraction patterns;Zeitschrift für Kristallographie Supplements;2006-06