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7
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0010229079
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Appl. Phys. Lett. 70, 1536 (1997).
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(1997)
Appl. Phys. Lett.
, vol.70
, pp. 1536
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11
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0030121801
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JAPNDE
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G. P. Crawford, J. Naciri, R. Shashidhar, and B. R. Ratna, Jpn. J. Appl. Phys., Part 1 35, 2176 (1996).JAPNDE
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(1996)
Jpn. J. Appl. Phys., Part 1
, vol.35
, pp. 2176
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Crawford, G.P.1
Naciri, J.2
Shashidhar, R.3
Ratna, B.R.4
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12
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85035224666
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For the spectrometer used for this work the function is [formula presented]
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For the spectrometer used for this work the function is R(χ-ω)∝[1+ξ2(χ-ω)2]-2.
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16
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85035208937
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In principle, the strain α can be obtained directly from the data for the Bragg wave vector [formula presented] as a function of electric field [formula presented] However, our [formula presented] vs [formula presented] data are fairly noisy, so they do not give good-quality fits for the line shapes. For that reason, we assume the relation [formula presented] and determine [formula presented] in two ways: from a fit of the line shapes and from a fit of the [formula presented] vs [formula presented] data. These two approaches give approximately the same value of [formula presented]
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In principle, the strain α can be obtained directly from the data for the Bragg wave vector q as a function of electric field E. However, our q vs E data are fairly noisy, so they do not give good-quality fits for the line shapes. For that reason, we assume the relation α=CE and determine C in two ways: from a fit of the line shapes and from a fit of the q vs E data. These two approaches give approximately the same value of C.
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17
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85035240908
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The mosaicity ξ has a slight field dependence; it varies by approximately 15% over the range of fields investigated. For simplicity, we used a single mosaicity to describe the entire data set and allowed it to vary over this 15% range. This variation affected the quality of the fit, but had no effect on the values of the other parameters
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The mosaicity ξ has a slight field dependence; it varies by approximately 15% over the range of fields investigated. For simplicity, we used a single mosaicity to describe the entire data set and allowed it to vary over this 15% range. This variation affected the quality of the fit, but had no effect on the values of the other parameters.
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