Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 71,
  • Issue 7,
  • pp. 1652-1664
  • (2017)

A Pragmatic Smoothing Method for Improving the Quality of the Results in Atomic Spectroscopy

Not Accessible

Your library or personal account may give you access


A new smoothing method for improvement on the quantification of spectral signals, which requires the previous knowledge of the functions that should be quantified, is presented. These functions are used as weighted coefficients in the proposed smoothing algorithm. This method is extremely effective in reducing the scatter of signals obtained by the multichannel analyzer and it could be applied in atomic and nuclear spectroscopies, preferably to these techniques where net counts are a linear function of the acquisition time, like total reflection X-ray fluorescence, micro X-ray fluorescence, etc. If this algorithm is properly applied, it does not distort the form or the intensity of the signal, so it is well suited for use in all kinds of spectroscopic techniques. However, it should not be applied to data obtained from systems depending on time, e.g., control sciences, time series, sound analysis, etc. We applied this method over simulated data and real experimental measurements. As with all smoothing techniques, the proposed method improves the precision of the results, but when it was applied to computer-simulated spectra, we found a systematic enhancement on the accuracy of the results. We still do not have an answer for this apparent paradox. We also have to evaluate, in spectral analysis, the improvement produced by this smoothing procedure over detection and quantification limits.When this algorithm is applied over experimental results, it is mandatory that the sought characteristic functions, required for this weighted smoothing method, should be obtained from a system with strong stability. If the sought signals are not perfectly clean, this method should be applied with care.

© 2017 The Author(s)

PDF Article
More Like This
A novel method for improving optical component smoothing quality in robotic smoothing systems by compensating path errors

Yonghong Deng, Xi Hou, Bincheng Li, Jia Wang, and Yun Zhang
Opt. Express 31(19) 30359-30378 (2023)

Baseline correction method based on improved adaptive iteratively reweighted penalized least squares for the x-ray fluorescence spectrum

Xiaoyu Jiang, Fusheng Li, Qingya Wang, Jie Luo, Jun Hao, and Muqiang Xu
Appl. Opt. 60(19) 5707-5715 (2021)

Harmonic saturated spectroscopy for improved atomic detection

Robert P. Frueholz and Jerry A. Gelbwachs
Appl. Opt. 19(16) 2735-2741 (1980)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.