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Journal articles on the topic 'Measurement of dispersion'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

SAKATA, H., K. HOSOKAWA, and T. KATO. "MEASUREMENT OF DIELECTRIC DISPERSION IN MULTI-FERROIC TbMnO3." International Journal of Modern Physics B 21, no. 18n19 (July 30, 2007): 3425–28. http://dx.doi.org/10.1142/s0217979207044676.

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We measured the dielectric dispersion in multi-ferroic TbMnO 3. We observed two kinds of the dielectric dispersions. One dispersion showed the monotonous temperature dependence of the relaxation frequency across the ferroelectric transition temperature, Tc. This dispersion is thought to be originated from the localized charge. The other dispersion existed only near the Tc, attributed to the ferroelectric transition. We found the former dispersion enhanced its strength near Tc. This indicates that the localized charge couples with the electric moment which orders in the ferroelectric phase.

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2

Medhat, M., S. Y. El-Zaiat, M. F. Omar, S. S. Farag, and S. M. Kamel. "Refraction and dispersion measurement using dispersive Michelson interferometer." Optics Communications 393 (June 2017): 275–83. http://dx.doi.org/10.1016/j.optcom.2017.02.039.

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3

MACFARLANE, P. W. "Measurement of QT dispersion." Heart 80, no. 5 (November 1, 1998): 421–23. http://dx.doi.org/10.1136/hrt.80.5.421.

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4

Al-Qdah, M. T. "Employing dispersion-flattened fiber for chromatic dispersion measurement." Optical Engineering 45, no. 5 (May 1, 2006): 055005. http://dx.doi.org/10.1117/1.2205828.

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5

Jin, J., W. Kaewsakul, J. W. M. Noordermeer, W. K. Dierkes, and A. Blume. "MACRO- AND MICRO-DISPERSION OF SILICA IN TIRE TREAD COMPOUNDS: ARE THEY RELATED?" Rubber Chemistry and Technology 94, no. 2 (April 1, 2021): 355–75. http://dx.doi.org/10.5254/rct.20.80365.

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ABSTRACT The dispersion of rubber fillers, such as silica, can be divided into two categories: macro- and micro-dispersion. Both dispersions are important; however, to achieve the best reinforcement of rubber, micro-dispersion of silica is crucial. The common view is that these filler dispersions are strongly related. The micro-dispersion is understood as the consequence of the continuous breakdown of filler clusters from macro-dispersion. Yet, a large problem is that an objective unequivocal direct measurement method for micro-dispersion is not available. In this study, a set of parameters is defined that are anticipated to have an influence on the micro- as well as the macro-dispersion. Mixing trials are performed with varying silanization temperature and time, different amounts of silane coupling agent, and by using silicas with different structures and specific surface areas. The degrees of micro- and macro-dispersion are evaluated by measuring the Payne effect as an indirect method for micro-dispersion and using a dispergrader for quantitative measurement of macro-dispersion. The results show that the filler dispersion processes happen simultaneously but independently. These results are supported by earlier work of Blume and Uhrlandt, who stated as well that micro- and macro-dispersion are independent. The major influencing factors on micro- and macro-dispersion of silica are also identified.

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6

Glazunova, A. M., and I. N. Kolosok. "Influence of the weight coefficients of measurements on the consistency of the assessment and calculation results of the power supply system steady-state operation conditions." Proceedings of Irkutsk State Technical University 25, no. 2 (May 2, 2021): 172–82. http://dx.doi.org/10.21285/1814-3520-2021-2-172-182.

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The aim of this work is to develop an improved procedure for assessing the state of power supply systems based on adjusting the weight coefficients of measurements. To this end, non-linear optimisation methods were used. The control equations and the solution of the simultaneous linear equations were performed using the Crout method. The results of the calculation of the electrical power steady-state mode were considered as a reference. The lower the difference between the evaluation and steady-state calculation results, the higher the accuracy of the overall state assessment procedure. The problem of correcting the weight factors is set and solved as a nonlinear optimisation problem, where the optimisation parameters are taken as the dispersion of the measurements. The objective function was formulated as follows: to minimise the measurement evaluation dispersions that are part of a single control equation by maximising the active power measurements dispersion in the swing bus of the power supply system. In this study, limitations in the form of equation and inequality are monitored. The problem of optimising the dispersions is solved after the first iteration of the state assessment; starting with the second iteration, the state assessment is performed with new measurement weight factors. The calculations were performed on a 6-node test circuit. The control equations are drawn from the current measurements. The measurements data on the selected control equation of the test circuit are used to calculate the target function. The accuracy of the dispersions redistribution and their extreme values are controlled by the limitations. The results showed that, when adjusting the dispersion of measurements, the power assessments at all nodes are closer to the steady-state mode calculation results.

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7

Plant, Genevieve, Andreas Hangauer, Ting Wang, and Gerard Wysocki. "Fiber dispersion measurement using chirped laser dispersion spectroscopy technique." Applied Optics 54, no. 33 (November 16, 2015): 9844. http://dx.doi.org/10.1364/ao.54.009844.

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8

von Brasch, Thomas, Diana‐Cristina Iancu, and Terje Skjerpen. "Productivity Dispersion and Measurement Error." Review of Income and Wealth 66, no. 4 (November 11, 2019): 985–96. http://dx.doi.org/10.1111/roiw.12455.

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9

Min Zhang, Min Zhang, Shanfeng Li Shanfeng Li, Nuannuan Shi Nuannuan Shi, Yiying Gu Yiying Gu, Pengsheng Wu Pengsheng Wu, and Xiuyou Han and Mingshan Zhao Xiuyou Han and Mingshan Zhao. "Novel method for fiber chromatic dispersion measurement based on microwave photonic technique." Chinese Optics Letters 10, no. 7 (2012): 070602–70604. http://dx.doi.org/10.3788/col201210.070602.

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10

Rabins, John M., and David L. Drummond. "Anomalous dispersion: a new measurement approach." Applied Optics 26, no. 6 (March 15, 1987): 1122. http://dx.doi.org/10.1364/ao.26.001122.

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11

Warenghem, M., and C. P. Grover. "Dispersion curve measurement using Talbot bands." Revue de Physique Appliquée 23, no. 6 (1988): 1169–78. http://dx.doi.org/10.1051/rphysap:019880023060116900.

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12

Batchvarov, Velislav, and Marek Malik. "Measurement and interpretation of QT dispersion." Progress in Cardiovascular Diseases 42, no. 5 (April 2000): 325–44. http://dx.doi.org/10.1053/pcad.2000.0420325.

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13

Rakhshani, A. E. "Measurement of dispersion in electrodeposited Cu2O." Journal of Applied Physics 62, no. 4 (August 15, 1987): 1528–29. http://dx.doi.org/10.1063/1.339619.

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14

GLANCY, JAMES M., CLIFFORD J. GARRATT, KENT L. WOODS, and DAVID P. BONO. "Three-Lead Measurement of QTc Dispersion." Journal of Cardiovascular Electrophysiology 6, no. 11 (November 1995): 987–92. http://dx.doi.org/10.1111/j.1540-8167.1995.tb00375.x.

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15

Cooper, Donald E. "Picosecond optoelectronic measurement of microstrip dispersion." Applied Physics Letters 47, no. 1 (July 1985): 33–35. http://dx.doi.org/10.1063/1.96393.

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16

Molnar, Janos, and John C. Somberg. "QT Dispersion: Still a Useful Measurement." Cardiology 112, no. 3 (2009): 165–67. http://dx.doi.org/10.1159/000147949.

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17

Schicketanz, D. W., and C. K. Eoll. "Dispersion measurement using only two wavelengths." Electronics Letters 22, no. 4 (1986): 209. http://dx.doi.org/10.1049/el:19860146.

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18

Correig, Antoni M. "Body-wave dispersion: Measurement and interpretation." Pure and Applied Geophysics PAGEOPH 136, no. 4 (1991): 561–76. http://dx.doi.org/10.1007/bf00878587.

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19

Dilaveris, Polychronis, and Dimitris Tousoulis. "P-wave dispersion measurement: Methodological considerations." Indian Pacing and Electrophysiology Journal 17, no. 3 (May 2017): 89. http://dx.doi.org/10.1016/j.ipej.2017.03.001.

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20

Houdré, R., C. Weisbuch, R. P. Stanley, U. Oesterle, P. Pellandini, and M. Ilegems. "Measurement of cavity polariton dispersion curve." Superlattices and Microstructures 15, no. 3 (April 1994): 263. http://dx.doi.org/10.1006/spmi.1994.1051.

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21

Tischler, Nora, Mario Krenn, Robert Fickler, Xavier Vidal, Anton Zeilinger, and Gabriel Molina-Terriza. "Quantum optical rotatory dispersion." Science Advances 2, no. 10 (October 2016): e1601306. http://dx.doi.org/10.1126/sciadv.1601306.

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The phenomenon of molecular optical activity manifests itself as the rotation of the plane of linear polarization when light passes through chiral media. Measurements of optical activity and its wavelength dependence, that is, optical rotatory dispersion, can reveal information about intricate properties of molecules, such as the three-dimensional arrangement of atoms comprising a molecule. Given a limited probe power, quantum metrology offers the possibility of outperforming classical measurements. This has particular appeal when samples may be damaged by high power, which is a potential concern for chiroptical studies. We present the first experiment in which multiwavelength polarization-entangled photon pairs are used to measure the optical activity and optical rotatory dispersion exhibited by a solution of chiral molecules. Our work paves the way for quantum-enhanced measurements of chirality, with potential applications in chemistry, biology, materials science, and the pharmaceutical industry. The scheme that we use for probing wavelength dependence not only allows one to surpass the information extracted per photon in a classical measurement but also can be used for more general differential measurements.

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22

Wielandy, S., M. Fishteyn, T. Her, D. Kudelko, and C. Zhang. "Real-time measurement of accumulated chromatic dispersion for automatic dispersion compensation." Electronics Letters 38, no. 20 (2002): 1198. http://dx.doi.org/10.1049/el:20020833.

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23

Kolodiy, Zenoviy, and Maksym Yatsiv. "DEPENDENCE OF DISPERSION OF MEASUREMENT RESULTS ON DURATION OF MEASUREMENT." Measuring Equipment and Metrology 80, no. 2 (2019): 5–11. http://dx.doi.org/10.23939/istcmtm2019.02.005.

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24

Ge, Yingting, Qianying Guo, Jiaojiao Shi, Xutao Chen, Yunsheng Bai, Jiaolin Luo, Xinxin Jin, et al. "Revision on fiber dispersion measurement based on Kelly sideband measurement." Microwave and Optical Technology Letters 58, no. 1 (November 26, 2015): 242–45. http://dx.doi.org/10.1002/mop.29532.

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25

Nazarov, N. G. "Measurement design for evaluation of measurement results characterized by dispersion." Measurement Techniques 42, no. 12 (December 1999): 1120–26. http://dx.doi.org/10.1007/bf02512102.

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26

Rovati, L., U. Minoni, M. Bonardi, and F. Docchio. "Absolute distance measurement using comb-spectrum interferometry." Journal of Optics 29, no. 3 (June 1998): 121–27. http://dx.doi.org/10.1088/0150-536x/29/3/004.

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27

Shalaev, P. V., P. A. Monakhova, and S. A. Tereshchenko. "Study of colloidal dispersions of gold nanorods using light scattering methods." Izvestiya Vysshikh Uchebnykh Zavedenii. Materialy Elektronnoi Tekhniki = Materials of Electronics Engineering 23, no. 2 (September 15, 2020): 116–26. http://dx.doi.org/10.17073/1609-3577-2020-2-116-126.

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Five samples of colloidal dispersions of gold nanorods with various aspect ratio were studied using methods based on light scattering. Transmission electron microscopy was used as a reference method. The advantages and disadvantages of the dynamic light scattering and nanoparticle tracking analysis methods for determination of the geometric parameters of nanoparticles, their concentration, monodispersity, as well as for detection of large aggregates and quasispherical impurities were given. It was shown that the method of depolarized dynamic light scattering can be used for determination of the geometric parameters of liquid dispersions of colloidal gold nanorods. Moreover, it was found that the presence of large impurities or particle aggregates in the sample strongly affects the measurement results. The presence of large particles in the dispersion can be determined using dynamic light scattering or nanoparticle tracking analysis methods. The method of dynamic light scattering was also found to be more sensitive to the presence of even a small amount of large impurities or aggregates in the sample. The monodispersity of a liquid dispersion of nanorods can also be estimated by dynamic light scattering and nanoparticle tracking analysis methods, and, comparing to electron microscopy, the measurement results can be considered more statistically reliable due to the analysis of a larger number of particles. It was found that the increase of spherical particles concentration in the composite dispersion of nanospheres and nanorods leads to a decrease in the contribution of the rotational mode in the total scattering intensity. In addition, the concentration of quasispherical impurities in samples of liquid dispersions of colloidal gold nanorods was calculated based on measurements of the depolarization degree of scattered light.

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28

Cheng, Feng, Jianghai Xia, Kai Zhang, Changjiang Zhou, and Jonathan B. Ajo-Franklin. "Phase-weighted slant stacking for surface wave dispersion measurement." Geophysical Journal International 226, no. 1 (March 15, 2021): 256–69. http://dx.doi.org/10.1093/gji/ggab101.

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SUMMARY Surface wave retrieval from ambient noise records using seismic interferometry techniques has been widely used for multiscale shear wave velocity (Vs) imaging. One key step during Vs imaging is the generation of dispersion spectra and the extraction of a reliable dispersion curve from the retrieved surface waves. However, the sparse array geometry usually affects the ability for high-frequency (>1 Hz) seismic signals’ acquisition. Dispersion measurements are degraded by array response due to sparse sampling and often present smeared dispersion spectra with sidelobe artefacts. Previous studies usually focus on interferograms’ domain (e.g. cross-correlation function) and attempt to enhance coherent signals before dispersion measurement. We propose an alternative technique to explicitly deblur dispersion spectra through use of a phase-weighted slant-stacking algorithm. Numerical examples demonstrate the strength of the proposed technique to attenuate array responses as well as incoherent noise. Three different field examples prove the flexibility and superiority of the proposed technique: the first data set consists of ambient noise records acquired using a nodal seismometer array; the second data set utilizes distributed acoustic sensing (DAS) and a marine fibre-optic cable to acquire a similar ambient noise data set; the last data set is a vibrator-based active-source surface wave data. The enhanced dispersion measurements provide cleaner and higher-resolution spectra without distortions which will assist both human interpreters as well as ML algorithms in efficiently picking curves for subsequent Vs inversion.

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29

Churchill, Dwight D., and Steven A. Lee. "Dispersion Measurement within a Size–Weighted Composite." Journal of Portfolio Management 19, no. 3 (April 30, 1993): 46–51. http://dx.doi.org/10.3905/jpm.1993.409451.

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30

Fløgstad, Cathrin, and Rune Jansen Hagen. "Aid Dispersion: Measurement in Principle and Practice." World Development 97 (September 2017): 232–50. http://dx.doi.org/10.1016/j.worlddev.2017.04.022.

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31

Kallenbach, A., and M. Kock. "Anomalous dispersion measurement by interference fringe shift." Applied Optics 26, no. 22 (November 15, 1987): 4870. http://dx.doi.org/10.1364/ao.26.004870.

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32

Mitachi, S. "Dispersion measurement on fluoride glasses and fibers." Journal of Lightwave Technology 7, no. 8 (1989): 1256–63. http://dx.doi.org/10.1109/50.32390.

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33

Li, Jiang, Hansuek Lee, Ki Youl Yang, and Kerry J. Vahala. "Sideband spectroscopy and dispersion measurement in microcavities." Optics Express 20, no. 24 (November 7, 2012): 26337. http://dx.doi.org/10.1364/oe.20.026337.

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34

Yi Li, A. Eyal, P. O. Hedekvist, and A. Yariv. "Measurement of high-order polarization mode dispersion." IEEE Photonics Technology Letters 12, no. 7 (July 2000): 861–63. http://dx.doi.org/10.1109/68.853527.

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35

Glancy, J. M., P. J. Weston, H. K. Bhullar, C. J. Garratt, K. L. Woods, and D. P. de Bono. "Reproducibility and automatic measurement of QT dispersion." European Heart Journal 17, no. 7 (July 1, 1996): 1035–39. http://dx.doi.org/10.1093/oxfordjournals.eurheartj.a014999.

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36

Riazi, Arash, Eric Y. Zhu, Changjia Chen, Alexey V. Gladyshev, Peter G. Kazansky, and Li Qian. "Alignment-free dispersion measurement with interfering biphotons." Optics Letters 44, no. 6 (March 14, 2019): 1484. http://dx.doi.org/10.1364/ol.44.001484.

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37

Mittal, R., S. L. Chaplot, Mala N. Rao, N. Choudhury, and R. Parthasarathy. "Measurement of phonon dispersion relation in zircon." Physica B: Condensed Matter 241-243 (December 1997): 403–5. http://dx.doi.org/10.1016/s0921-4526(97)00602-9.

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38

Hill, Joseph A., and Peter L. Friedman. "Measurement of QT interval and QT dispersion." Lancet 349, no. 9056 (March 1997): 894–95. http://dx.doi.org/10.1016/s0140-6736(05)62692-x.

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39

Correig, Antoni M. "On the measurement of body wave dispersion." Journal of Geophysical Research 96, B10 (1991): 16525. http://dx.doi.org/10.1029/91jb01429.

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40

Misiaszek, Marta, Andrzej Gajewski, and Piotr Kolenderski. "Dispersion measurement method with down conversion process." Journal of Physics Communications 2, no. 6 (June 27, 2018): 065014. http://dx.doi.org/10.1088/2399-6528/aaccac.

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41

Stewart, A. M., V. V. Yaminsky, and S. Ohnishi. "Measurement of Retarded Dispersion Forces of Mica." Langmuir 18, no. 5 (March 2002): 1453–56. http://dx.doi.org/10.1021/la0156311.

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42

Christensen, B., J. Mark, G. Jacobsen, and E. Bødtker. "Simple dispersion measurement technique with high resolution." Electronics Letters 29, no. 1 (January 7, 1993): 132–34. http://dx.doi.org/10.1049/el:19930089.

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43

Artiglia, M., R. Caponi, M. Potenza, D. Roccato, and M. Schiano. "Interferometer measurement of polarization-mode dispersion statistics." Journal of Lightwave Technology 20, no. 8 (August 2002): 1374–81. http://dx.doi.org/10.1109/jlt.2002.800341.

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44

Wieser, Wolfgang, Benjamin R. Biedermann, Thomas Klein, Christoph M. Eigenwillig, and Robert Huber. "Ultra-rapid dispersion measurement in optical fibers." Optics Express 17, no. 25 (November 30, 2009): 22871. http://dx.doi.org/10.1364/oe.17.022871.

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45

Dennis, M. L., and I. N. Duling. "Intracavity dispersion measurement in modelocked fibre laser." Electronics Letters 29, no. 4 (1993): 409. http://dx.doi.org/10.1049/el:19930274.

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46

Grzesiak, M., and A. W. Wernik. "Dispersion analysis of spaced antenna scintillation measurement." Annales Geophysicae 27, no. 7 (July 16, 2009): 2843–49. http://dx.doi.org/10.5194/angeo-27-2843-2009.

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Abstract. We present a dispersion analysis of the phase of GPS signals received at high latitude. Basic theoretical aspects for spectral analysis of two-point measurement are given. To account for nonstationarity and statistical robustness a power distribution of the windowed Fourier transform cross-spectra as a function of frequency and phase is analysed using the Radon transform.

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47

Segawa, Yuta, Masahiro Inoue, Akihiro Nakamoto, and Satoshi Umehara. "Research on hydrogen dispersion by Raman measurement." International Journal of Hydrogen Energy 44, no. 17 (April 2019): 8981–87. http://dx.doi.org/10.1016/j.ijhydene.2018.07.022.

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48

Li, Shao Chun, Yong Juan Geng, Qi Long Zhang, and Hui Yang. "Effects of pH and Dispersant Concentration on Properties of Li_1.075Nb_0.625Ti_0.45O₃ Aqueous Suspension." Advanced Materials Research 266 (June 2011): 26–29. http://dx.doi.org/10.4028/www.scientific.net/amr.266.26.

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The dispersion behavior of the solid solution Li1.075Nb0.625Ti0.45O3 (LNT) in aqueous media was studied. Optimum dispersing conditions were investigated in terms of zeta potential, sedimentation, and rheology measurements. Zeta potential measurement showed that the isoelectric point (IEP) of the LNT particles was shifted from pH 3.7 to pH 2.6 after adsorption of PAA-NH4 and made the LNT surface more electronegative. Good agreement between zeta potential, sedimentation, and rheological test was found, which identified an optimum pH value of 10 and an optimum dispersant concentration of about 0.6 wt%. The green microstructures of the casting tapes bear a direct relationship to the state of dispersion of the slurries. The results showed that PAA-NH4 is a suitable dispersant for obtaining well-dispersed LNT slurries.

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49

Fujii, Shun, and Takasumi Tanabe. "Dispersion engineering and measurement of whispering gallery mode microresonator for Kerr frequency comb generation." Nanophotonics 9, no. 5 (February 12, 2020): 1087–104. http://dx.doi.org/10.1515/nanoph-2019-0497.

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AbstractDesigning and engineering microresonator dispersion are essential for generating microresonator frequency comb. Microresonator frequency combs (microcombs, Kerr frequency combs) offer the potential for various attractive applications as a new type of coherent light source that is power efficient and compact and has a high repetition rate and a broad bandwidth. They are easily driven with a continuous-wave pump laser with adequate frequency tuning; however, the resonators must have a high quality (Q) factor and suitable dispersion. The emergence of cavity enhanced four-wave mixing, which is based on third-order susceptibility in the host material, results in the generation of broadband and coherent optical frequency combs in the frequency domain equivalent to an optical pulse in the time domain. The platforms on which Kerr frequency combs can be observed have been developed, thanks to intensive efforts by many researchers over a few decades. Ultrahigh-Q whispering gallery mode (WGM) microresonators are one of the major platforms since they can be made of a wide range of material including silica glass, fluoride crystals and semiconductors. In this review, we focus on the dispersion engineering of WGM microresonators by designing the geometry of the resonators based on numerical simulation. In addition, we discuss experimental methods for measuring resonator dispersion. Finally, we describe experimental results for Kerr frequency combs where second- and higher-order dispersions influence their optical spectra.

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50

Addo, K. O., and P. K. Robertson. "Shear-wave velocity measurement of soils using Rayleigh waves." Canadian Geotechnical Journal 29, no. 4 (August 1, 1992): 558–68. http://dx.doi.org/10.1139/t92-063.

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A modified version of the spectral analysis of surface waves (SASW) equipment and analysis procedure has been developed to determine in situ shear-wave velocity variation with depth from the ground surface. A microcomputer has been programmed to acquire waveform data and perform the relevant spectral analyses that were previously done by signal analyzers. Experimental dispersion for Rayleigh waves is now obtainable at a site and inverted with a fast algorithm for dispersion computation. Matching experimental and theoretical dispersion curves has been automated in an optimization routine that does not require intermittent operator intervention or experience in dispersion computation. Shear-wave velocity profiles measured by this procedure are compared with results from independent seismic cone penetration tests for selected sites in western Canada. Key words : surface wave, dispersion, inversion, optimization, shear-wave velocity.

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