Hyperfine field distributions from Mossbauer spectra

Window, B.

doi:10.1088/0022-3735/4/5/022

Cited by 358 publications

(60 citation statements)

References 3 publications

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“…The dependence of the experimental peak width (W) on the absorber thickness for Lorentzian peaks is given [15] by the following equation: (22) where Γ is the natural line width of the given Mössbauer transition, I 0 and I 1 denote modified Bessel functions of the first kind (also referred to as having imaginary argument) and τ a is the effective thickness of the absorber (which is proportional to the actual thickness d a measured in mg/cm 2 ). As to the exact definition of the effective thickness, see eq.…”

Section: ∆ ∆mentioning

confidence: 99%

“…The Mössbauer parameters are derived from the peak parameters (base line parameters, peak position, peak width, peak area/height) via the fitting process. Alternatively, the distributions of certain Mössbauer parameters [22,23] or the joint distributions of several Mössbauer parameters [27] are directly derived from the spectrum.…”

Section: Spectrum Evaluationmentioning

confidence: 99%

“…For a thin absorber, the spectrum shape S(u) can be described as the convolution of a density function f(u) with a Lorentzian function L(u): (28) One of the methods [22][23][24][25][26][27] for obtaining the distribution of effective magnetic flux density or quadrupole splitting is the Window method [22] that uses a Fourier technique. For instance, the distribution of the effective magnetic flux density (also called hyperfine field distribution) (29) can be obtained by fitting the spectrum (B min and B max are the minimum and maximum values of the effective magnetic flux density).…”

Section: Spectrum Evaluationmentioning

confidence: 99%

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Critical review of analytical applications of Mössbauer spectroscopy illustrated by mineralogical and geological examples (IUPAC Technical Report)

Кузманн¹,

Nagy²,

Vértes³

2003

Pure and Applied Chemistry

122

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We have developed a new terminology for Mössbauer pattern analysis in order to enhance the performance of qualitative analysis by Mössbauer spectroscopy. In this approach, Mössbauer parameters are considered as a function of a number of externally adjusted experimental parameters at which the spectrum has been recorded. The basis of analytical classification is the microenvironment, which is determined by an assembly of atoms causing the same hyperfine interactions at one particular class of the Mössbauer probe atoms.Since Mössbauer spectroscopy measures hyperfine interactions very sensitively, the microenvironment presents itself as a fundamental concept for analytical purposes. Our approach can also help to systematize the Mössbauer data for the identification of individual physicochemical species from the corresponding patterns present in the spectrum.

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Section: ∆ ∆mentioning

confidence: 99%

Section: Spectrum Evaluationmentioning

confidence: 99%

Section: Spectrum Evaluationmentioning

confidence: 99%

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Critical review of analytical applications of Mössbauer spectroscopy illustrated by mineralogical and geological examples (IUPAC Technical Report)

Кузманн¹,

Nagy²,

Vértes³

2003

Pure and Applied Chemistry

122

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“…The changes in the shape of the spectrum with CSRO were however hardly observed in Fe78B7Si15 alloy. The distribution of magnetic hyperfine field P(H) associated with each spectrum was obtained using a truncated Fourier series method (19 Fe40Ni4OP14B6 alloy.…”

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Reversible Structural Relaxation in Fe78B7Si15 and Fe40Ni40P14B6 Amorphous Alloys

1988

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The reversible processes of structural relaxation in Fe78B7Si15 and Fe40Ni40P14B6 amorphous alloys were investigated by means of electrical resistivity and Mossbauer effect measurements, and these are then compared to each other and discussed. A significant difference in the contribution of chemical short range ordering (CSRO) to the electrical resistivity is observed between the two amorphous alloys: the resistivity increases with annealing temperature in Fe78B7Si15 alloy but decreases in Fe40Ni40P14B6 alloy. The crossover effect for the resistivity is also observed in both alloys. A kinetics of CSRO in each alloy can be described as a log-normal distribution of relaxation times. The mean activation energy of the CSRO process is 222.0kJ/mol for Fe78B7Si15 alloy and 135.1kJ/mol for Fe40Ni40P14B6 alloy. As a result it is suggested that the reversible resistivity changes of Fe78B7Si15 and Fe40Ni40P14B36 alloys are responsible for CSRO between Fe and Si atoms in the former, and that between Fe and Ni atoms in the latter. Since structural relaxation has considerable influence on the various physical properties of amorphous alloys, it is quite important to clarify relaxation phenomenon not only for technical applications but also for understanding their structure. Structural relaxation involves the following two kind of atomic rearrangements, namely topological short range ordering (TSRO) and chemical short range ordering (CSRO)(1). The changes of TSRO are irreversible, in which the ordering is considered to influence the topology of amorphous network with the reduction and redistribution of free volume. On the other hand, the changes of CSRO are reversible, in which the ordering is considered to occur through short range atomic diffusion without a significant change of the amorphous network. Strictly speaking, these two processes may not be totally independent.

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“…Since the bcc Fe0.38V0 .62 alloy is ferromagnetic at 290K, the observed line broadening is partly ascribed to the hyperfine field. The distribution of the quadrupole splitting, QS, was obtained by an analysis similar to Window's method (16). In order to fit the broad and asymmetric spectrum, a linear relation between the isomer shift and the quadrupole splitting was assumed (6).…”

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Metastable Crystalline and Amorphous Fe–V Alloys Produced by Vapor Quenching

1986

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Hyperfine field distributions from Mossbauer spectra

Cited by 358 publications

References 3 publications

Critical review of analytical applications of Mössbauer spectroscopy illustrated by mineralogical and geological examples (IUPAC Technical Report)

Critical review of analytical applications of Mössbauer spectroscopy illustrated by mineralogical and geological examples (IUPAC Technical Report)

Reversible Structural Relaxation in Fe<SUB>78</SUB>B<SUB>7</SUB>Si<SUB>15</SUB> and Fe<SUB>40</SUB>Ni<SUB>40</SUB>P<SUB>14</SUB>B<SUB>6</SUB> Amorphous Alloys

Metastable Crystalline and Amorphous Fe–V Alloys Produced by Vapor Quenching

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Hyperfine field distributions from Mossbauer spectra

Cited by 358 publications

References 3 publications

Critical review of analytical applications of Mössbauer spectroscopy illustrated by mineralogical and geological examples (IUPAC Technical Report)

Critical review of analytical applications of Mössbauer spectroscopy illustrated by mineralogical and geological examples (IUPAC Technical Report)

Reversible Structural Relaxation in Fe<SUB>78</SUB>B<SUB>7</SUB>Si<SUB>15</SUB> and Fe<SUB>40</SUB>Ni<SUB>40</SUB>P<SUB>14</SUB>B<SUB>6</SUB> Amorphous Alloys

Metastable Crystalline and Amorphous Fe&ndash;V Alloys Produced by Vapor Quenching

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Metastable Crystalline and Amorphous Fe–V Alloys Produced by Vapor Quenching