Deglitching procedure for XAFS

Zhuchkov, K.N.; Shuvaeva, V. A.; Yagi, Kenichiro; Terauchi, Hikaru

doi:10.1107/s0909049500020951

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…The traditional field of application for devices that solve such problems are: radars [1], communication systems [2], [3] and electronic intelligence [4]. However, the range of applications much wider and includes, for example, the assessment of the parameters of X-Ray absorption spectra [5], Bragg scattering [6], plasma parameters [7,35], assessment of the stability of the information system [8], the solution of the problem of the parameter estimation for in-line flaw detection [9], or the development of an optoelectronic displacement sensors [10], which are used in the oil and gas industry.…”

Section: Introductionmentioning

confidence: 99%

Improving the Accuracy of Estimates of the Pulse Sequence Period Using the Methodology of Complete Sufficient Statistics

Zhuchkov

Vasilchenko

Zagrebneva

et al. 2022

Preprint

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ࣧ Using a model of a sequence of quasi-rectangular pulses as an example, an approach was illustrated to assess their period, taking into account the off-duty factor and the squareness coefficient of the pulses. Complete sufficient statistics (CSS) methodology was used. An analytical expression for the pulse repetition was presented. It was shown that for the value of the sample size (n > 8) the relative root-mean square error of the repetition period estimation by CSS is shown as a significantly smaller error than that of the traditional estimate, which is only asymptotically effective. In addition to theoretical calculations, simulation results confirming the achieved effect are presented. The results obtained are applicable for the design of the control and measuring equipment of the oil and gas industry.

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Section: Introductionmentioning

confidence: 99%

Improving the Accuracy of Estimates of the Pulse Sequence Period Using the Methodology of Complete Sufficient Statistics

Zhuchkov

Vasilchenko

Zagrebneva

et al. 2022

Preprint

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“…At the same time, there is a growing demand for the synthesis of new algorithms for solving problems of estimating signal parameters in a wide range of applications: radars 2 , communication systems 3 , 4 , electronic intelligence 5 , X-Ray absorption spectra 6 , Bragg scattering 7 , plasma parameters estimation 8 , 9 , assessment of the stability of information systems 10 , the solution of the problem of parameter estimation for in-tube flaw detection 11 , the development of optoelectronic displacement sensors 12 , etc. The requirements for the accuracy of the assessment and its reliability are increasing, which determines both the use of more productive computing resources and determines the relevance of the search for new information processing algorithms.…”

Section: Introductionmentioning

confidence: 99%

Improving the accuracy of estimates of the pulse sequence period using the methodology of complete sufficient statistics

Zhuchkov

Vasilchenko

Zagrebneva

et al. 2022

Sci Rep

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This paper is devoted to the synthesis of new signal processing algorithms based on the methodology of complete sufficient statistics and the possibility of using the Lehmann–Scheffe theorem. Using the example of a sequence of quasi-rectangular pulses, an approach to estimating their period was illustrated, taking into account the duty-off factor and the pulse squareness coefficient. A mathematical model was developed, on the basis of which, estimates of the potential accuracy of the methods were carried out. It is established that for the sample size value (n > 8), the relative root-mean-square error of estimating the repetition period using the methodology of complete sufficient statistics is lower than that of the traditional estimate. In addition to theoretical calculations, simulation results confirming the achieved effect are presented. The results obtained have a wide range of applicability and can be used in the design of control and measuring equipment in the oil and gas industry, in the development of medical equipment, in the field of telecommunications, in the design of pulse-Doppler radars, etc.

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“…A rapid and robust method for automated deglitching of XAS spectra is needed to address this shortcoming. Previous methods with greater potential for automation used the first derivative of the absorption coefficient to identify glitches (Zhuchkov et al, 2001). While useful, such strategies can result in points adjacent to glitches being erroneously identified, and the applicability to the X-ray absorption near-edge structure (XANES) region is limited.…”

Section: Introductionmentioning

confidence: 99%

An algorithm for the automatic deglitching of X-ray absorption spectroscopy data

Wallace¹,

Alsina²,

Gaillard³

2021

J Synchrotron Radiat

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Analysis of X-ray absorption spectroscopy data often involves the removal of artifacts or glitches from the acquired signal, a process commonly known as deglitching. Glitches result either from specific orientations of monochromator crystals or from scattering by crystallites in the sample itself. Since the precise energy – or wavelength – location and the intensity of glitches in a spectrum cannot always be predicted, deglitching is often performed on a per spectrum basis by the analyst. Some routines have been proposed, but they are prone to arbitrary selection of spectral artifacts and are often inadequate for processing large data sets. Here, a statistically robust algorithm, implemented as a Python program, for the automatic detection and removal of glitches that can be applied to a large number of spectra, is presented. It uses a Savitzky–Golay filter to smooth spectra and the generalized extreme Studentized deviate test to identify outliers. Robust, repeatable, and selective removal of glitches is achieved using this algorithm.

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Deglitching procedure for XAFS

Cited by 4 publications

References 9 publications

Improving the Accuracy of Estimates of the Pulse Sequence Period Using the Methodology of Complete Sufficient Statistics

Improving the Accuracy of Estimates of the Pulse Sequence Period Using the Methodology of Complete Sufficient Statistics

Improving the accuracy of estimates of the pulse sequence period using the methodology of complete sufficient statistics

An algorithm for the automatic deglitching of X-ray absorption spectroscopy data

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