Academic literature on the topic 'Poynting vector flux'

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Journal articles on the topic "Poynting vector flux"

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Ustinov, Andrey, Svetlana Khonina, and Alexey Porfirev. "Formation of Inverse Energy Flux in the Case of Diffraction of Linearly Polarized Radiation by Conventional and Generalized Spiral Phase Plates." Photonics 8, no. 7 (July 16, 2021): 283. http://dx.doi.org/10.3390/photonics8070283.

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Recently, there has been increased interest in the shaping of light fields with an inverse energy flux to guide optically trapped nano- and microparticles towards a radiation source. To generate inverse energy flux, non-uniformly polarized laser beams, especially higher-order cylindrical vector beams, are widely used. Here, we demonstrate the use of conventional and so-called generalized spiral phase plates for the formation of light fields with an inverse energy flux when they are illuminated with linearly polarized radiation. We present an analytical and numerical study of the longitudinal and transverse components of the Poynting vector. The conditions for maximizing the negative value of the real part of the longitudinal component of the Poynting vector are obtained.
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Janhunen, P., A. Olsson, N. A. Tsyganenko, C. T. Russell, H. Laakso, and L. G. Blomberg. "Statistics of a parallel Poynting vector in the auroral zone as a function of altitude using Polar EFI and MFE data and Astrid-2 EMMA data." Annales Geophysicae 23, no. 5 (July 28, 2005): 1797–806. http://dx.doi.org/10.5194/angeo-23-1797-2005.

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Abstract. We study the wave-related (AC) and static (DC) parallel Poynting vector (Poynting energy flux) as a function of altitude in auroral field lines using Polar EFI and MFE data. The study is statistical and contains 5 years of data in the altitude range 5000–30000 km. We verify the low altitude part of the results by comparison with earlier Astrid-2 EMMA Poynting vector statistics at 1000 km altitude. The EMMA data are also used to statistically compensate the Polar results for the missing zonal electric field component. We compare the Poynting vector with previous statistical DMSP satellite data concerning the electron precipitation power. We find that the AC Poynting vector (Alfvén-wave related Poynting vector) is statistically not sufficient to power auroral electron precipitation, although it may, for Kp>2, power 25–50% of it. The statistical AC Poynting vector also has a stepwise transition at R=4 RE, so that its amplitude increases with increasing altitude. We suggest that this corresponds to Alfvén waves being in Landau resonance with electrons, so that wave-induced electron acceleration takes place at this altitude range, which was earlier named the Alfvén Resonosphere (ARS). The DC Poynting vector is ~3 times larger than electron precipitation and corresponds mainly to ionospheric Joule heating. In the morning sector (02:00–06:00 MLT) we find that the DC Poynting vector has a nontrivial altitude profile such that it decreases by a factor of ~2 when moving upward from 3 to 4 RE radial distance. In other nightside MLT sectors the altitude profile is more uniform. The morning sector nontrivial altitude profile may be due to divergence of the perpendicular Poynting vector field at R=3–4 RE. Keywords. Magnetospheric physics (Auroral phenomena; Magnetosphere-ionosphere interactions) – Space plasma physics (Wave-particle interactions)
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Liu, Jihong, Jiangtao Su, and Hongqi Zhang. "The helicity, induced electric field and Poynting flux of AR 11158 and their relationship with the X-class flare." Proceedings of the International Astronomical Union 8, S294 (August 2012): 535–36. http://dx.doi.org/10.1017/s1743921313003104.

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AbstractWith the photospheric vector magnetic fields provided by SDO/HMI team, the helicity accumulation, induced electric field and Poynting flux is calculated for AR 11158 by using the local correlation tracking technique (LCT). It is found that the helicity accumulation reaches 6000×1040Mx2, the average densities of the induced electric field about 0.15-0.35 V cm−1, and that of the Poynting flux about 50-240 W m−2, within 50 hours. One main flare of X2.2 occurs in the increasing phase of the helicity accumulation, which also corresponds to the decreasing phase of the induced electric field and the gradual change phase of the Poynting flux. Before the flare, all these quantities increase rapidly for about 20 hours firstly, then increase gradually or even decrease for 8-9 hours.
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Domínguez, P. J., A. Gallegos, J. E. Macías-Díaz, and H. Vargas-Rodríguez. "Superenergy flux of Einstein–Rosen waves." International Journal of Modern Physics D 27, no. 07 (May 2018): 1850072. http://dx.doi.org/10.1142/s0218271818500724.

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In this work, we consider the propagation speed of the superenergy flux associated to the Einstein–Rosen cylindrical waves propagating in vacuum and over the background of the gravitational field of an infinitely long mass line distribution. The velocity of the flux is determined considering the reference frame in which the super-Poynting vector vanishes. This reference frame is then considered as comoving with the flux. The explicit expressions for the velocities are given with respect to a reference frame at rest with the symmetry axis.
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Franek, Jaroslav. "On Induction Heating - Conductor Excited by External Field." Journal of Electrical Engineering 64, no. 4 (June 1, 2013): 261–64. http://dx.doi.org/10.2478/jee-2013-0038.

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Electromagnetic field in a banded strip conductor excited by external AC voltage driven coil is analyzed. Inhomogeneous wave equation describing this axis-symmetrical configuration is deduced and solved to find the induced current density and the directional energy flux density (Poynting vector) in the conductor.
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Vinogradov, S. S., and A. V. Sulima. "Calculation of the poynting vector flux through a partially screened dielectric sphere." Radiophysics and Quantum Electronics 32, no. 2 (February 1989): 160–66. http://dx.doi.org/10.1007/bf01039672.

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Yan, Jia, and Thomas A. Dickens. "Reverse time migration angle gathers using Poynting vectors." GEOPHYSICS 81, no. 6 (November 2016): S511—S522. http://dx.doi.org/10.1190/geo2015-0703.1.

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Angle-domain common-image gathers provide much useful data about the subsurface, such as seismic velocities and amplitude-versus-angle (AVA) information, and they can be manipulated to provide high-quality stacked images. However, the computation of angle gathers for reverse time migration (RTM), the most physically accurate migration algorithm, has proven to be costly in terms of computer time and memory usage. We have developed an algorithm for computing RTM angle gathers in a relatively efficient manner. Our method is based on the construction of the directions of propagation of the source and receiver wavefields, given by the direction of energy flux, known as the Poynting vector. The computation is carried out in the space-time domain, avoiding the need to transform the wavefield to, for example, frequency-wavenumber space, as is needed for methods based on wavefront projection. Given accurate Poynting vectors for source and receiver wavefields, one may compute the local reflection angle and azimuth, as well as the reflector dip and azimuth. An important advantage of our method is that it is based on local direction information at the reflection point, and thus it avoids the loss of resolution and smearing that can occur with some other techniques. A simple implementation of the Poynting-vector method can lead to noisy gathers, with leakage between angle bins, caused by unstable division of the local wavefields. We have developed an efficient technique to mitigate this noise and evaluated examples illustrating the aforementioned smearing issues of the subsurface-offset-based gathers and the improvements in the Poynting-vector gathers arising from our algorithm enhancement. Finally, the use of angle gathers for AVA analysis requires that (relative) amplitudes as a function of angle be correct. To this end, we derive weight functions for computing gathers with the correct AVA behavior. We determine the correctness of these weights by testing them with synthetic data.
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Nalimov, A. G. "Energy flux of a vortex field focused using a secant gradient lens." Computer Optics 44, no. 5 (October 2020): 707–11. http://dx.doi.org/10.18287/2412-6179-co-688.

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In this paper we simulated the focusing of left circular polarized beam with a second order phase vortex and a second-order cylindrical vector beam by a gradient index Mikaelian lens. It was shown numerically, that there is an area with a negative Poynting vector projection on Z axis, that can be called an area with backward energy flow. Using a cylindrical hole in the output surface of the lens and optimizing it one can obtain a negative flow, which will be situated in the maximum intensity region, unlike to previous papers, in which such backward energy flow regions were situated in a shadow area. Thereby, this lens will work as an “optical magnet”, it will attract Rayleigh particles (with diameter about 1/20 of the wavelength) to its surface.
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Kotlyar, V. V., S. S. Stafeev, and A. A. Kovalev. "Sharp focusing of a light field with polarization and phase singularities of an arbitrary order." Computer Optics 43, no. 3 (June 2019): 337–46. http://dx.doi.org/10.18287/2412-6179-2019-43-3-337-346.

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Using the Richards-Wolf formalism, we obtain general expressions for all components of the electric and magnetic strength vectors near the sharp focus of an optical vortex with the topological charge m and nth-order azimuthal polarization. From these equations, simple consequences are derived for different values of m and n. If m=n>1, there is a non-zero intensity on the optical axis, like the one observed when focusing a vortex-free circularly polarized light field. If n=m+2, there is a reverse flux of light energy near the optical axis in the focal plane. The derived expressions can be used both for simulating the sharp focusing of optical fields with the double singularity (phase and polarization) and for a theoretical analysis of focal distributions of the intensity and the Poynting vector, allowing one to reveal the presence of rotational symmetry or the on-axis reverse energy flux, as well as the focal spot shape (a circle or a doughnut).
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Laitinen, T. V., T. I. Pulkkinen, M. Palmroth, P. Janhunen, and H. E. J. Koskinen. "The magnetotail reconnection region in a global MHD simulation." Annales Geophysicae 23, no. 12 (December 23, 2005): 3753–64. http://dx.doi.org/10.5194/angeo-23-3753-2005.

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Abstract. This work investigates the nature and the role of magnetic reconnection in a global magnetohydrodynamic simulation of the magnetosphere. We use the Gumics-4 simulation to study reconnection that occurs in the near-Earth region of the current sheet in the magnetotail. We locate the current sheet surface and the magnetic x-line that appears when reconnection starts. We illustrate the difference between quiet and active states of the reconnection region: variations in such quantities as the current sheet thickness, plasma flow velocities, and Poynting vector divergence are strong. A characteristic feature is strong asymmetry caused by non-perpendicular inflows. We determine the reconnection efficiency by the net rate of Poynting flux into the reconnection region. The reconnection efficiency in the simulation is directly proportional to the energy flux into the magnetosphere through the magnetopause: about half of all energy flowing through the magnetosphere is converted from an electromagnetic into a mechanical form in the reconnection region. Thus, the tail reconnection that is central to the magnetospheric circulation is directly driven; the tail does not exhibit a cycle of storage and rapid release of magnetic energy. We find similar behaviour of the tail in both synthetic and real event runs.
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Dissertations / Theses on the topic "Poynting vector flux"

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Karolina, Kasaš-Lažetić. "Modelovanje impedanse zemlje kao povratnog provodnika." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=95572&source=NDLTD&language=en.

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U radu je pokazano da frekvencijski zavisna impedansazemlje kao povratnog provodnika, pri proizvoljnojučestanosti može veoma tačno da se odredi pomoćufluksa kompleksnog Pointingovog vektora. Zaizračunavanje kompleksnog Pointingovog vektora,neophodno je prethodno odrediti raspodelu struje uzemlji, kao i raspodelu magnetskog polja i u zemlji i uvazduhu iznad površi zemlje. Obe ove raspodele takođesu značajne za analizu elektroenergetskih sistema.
The thesis shows that the Earth return impedance atarbitrary low frequency can be accurately determinedfrom the complex Poynting vector flux. For the complexPoynting vector calculation, first it is necessary todetermine the current distribution inside the ground, aswell as the magnetic field distribution both inside theground and in the air above the ground surface. Bothdistributions are also significant for power electricalsystems analysis.
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Conference papers on the topic "Poynting vector flux"

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Lee, B. J., and Z. M. Zhang. "Energy Streamlines in Near-Field Thermal Radiation." In ASME 2008 First International Conference on Micro/Nanoscale Heat Transfer. ASMEDC, 2008. http://dx.doi.org/10.1115/mnht2008-52210.

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In the present paper, we investigate the energy propagation direction in near-field thermal radiation between two semi-infinite surfaces separated by a vacuum gap. Based on the fluctuational electrodynamics, we demonstrate in detail that Poynting vectors for each parallel wavevector component (β) are decoupled due to the randomness of thermal radiation. The results reveal that the spectral radiative energy is transferred in infinite directions. By separately tracing the Poynting vector for each given β, the energy propagation direction in the vacuum gap is visualized. Depending on β values, there exist considerable lateral shifts of the energy streamline. The range of β values dominantly contributing to the spectral energy flux is identified for different wavelengths. Furthermore, the effect of surface polaritons on the lateral shift is also discussed.
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Clayton, Erik H., and Philip V. Bayly. "Brain Response to Extracranial Acoustic Loads: Shear Wave Propagation Characterized by Vector Fields." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63245.

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Traumatic brain injuries (TBI) due to blast are common in modern combat situations, and often lead to permanent cognitive impairment. Despite the prevalence and severity of blast-induced TBI, the condition remains poorly understood. Computer simulations of blast and blast injury mechanics offer enormous potential; however, computer models require accurate descriptions of tissue mechanics and boundary conditions in vivo. To gain insight into the mechanisms of blast injury, we applied direct (light) oscillatory pressure loading to the skulls of human volunteers, and measured displacement and strain fields using the methodology of magnetic resonance elastography (MRE). MRE is a non-invasive imaging modality that provides quantitative spatial maps of tissue stiffness. MRE is performed by inducing micron-amplitude propagating shear waves into tissue and imaging the resulting harmonic motion with standard clinical MRI hardware. Shear waves are initiated by an MR-compatible actuator and detected by a specialized “motion-sensitive” MRI pulse sequence (software). Motion sensitized MR images provide displacement field data which can be inverted to estimate material stiffness by invoking a restricted form of Navier’s equation. Clinical interest in MRE has largely been driven by the empirical relationship between tissue stiffness and health. However, the “raw” MRE data (3-D displacement measurements) themselves can elucidate loading paths, anatomic boundaries and the dynamic response of the intact human head. In this study, we use the MRE imaging technique to measure in vivo displacement fields of brain motion as the cranium is exposed to acoustic frequency pressure excitation (45, 60, 80 Hz) and we calculate the resulting shear-strain fields (2-D). We estimate the Poynting vector (energy flux) field to illuminate the directions of internal wave propagation, and to identify the energy absorbing and reflecting regions within the brain.
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