scholarly journals Numerical simulation of the transient hydrogen trapping process using an analytical approximation of the McNabb and Foster equation. Part 2: Domain of validity

Author(s):  
Yann Charles ◽  
Sofiane Benannoune ◽  
Jonathan Mougenot ◽  
Monique Gaspérini
2014 ◽  
Vol 8 (3) ◽  
pp. 313-324 ◽  
Author(s):  
Diego Diniz ◽  
Edjan da Silva ◽  
Jorge Carrasco ◽  
Jose Barbosa ◽  
Antonio Silva

1992 ◽  
Vol 114 (4) ◽  
pp. 680-686 ◽  
Author(s):  
Georges L. Chahine ◽  
Ramani Duraiswami

Results of studies on the dynamics of “clouds” of bubbles via both an analytical technique using asymptotic expansions, and via numerical simulation using a three-dimensional boundary element technique (BEM) are reported. The asymptotic method relies on the assumption that the characteristic bubble size is much smaller than the characteristic inter-bubble distance. Results obtained from the two methods are compared, and are found to agree in the domain of validity of the asymptotic technique, which is for very low void fractions. Next, results of several numerical experiments conducted using the BEM algorithm are reported. The results indicate the influence of the mutual interaction on the dynamics of multiple bubble clouds.


1987 ◽  
Vol 104 ◽  
Author(s):  
A. E. Jaworowski ◽  
L. S. Wielunski

ABSTRACTThe hydrogen depth profiling in the near-surface region in silicon reveals the existence of a subsurface hydrogen layer. This layer acts as a barrier to diffusion. The observed subsurface hydrogen profile rises and then drops off sharply with increasing depth and is stable up to 770 K. Our annealing data indicate a rather complex motion of monatomic and molecular hydrogen in the near-surface region (<1500 A) in the temperature range 300 – 800 K. The subsurface molecule formation represents the dominant hydrogen trapping process in silicon.


2019 ◽  
Vol 11 (14) ◽  
pp. 1663 ◽  
Author(s):  
Xiaoyu Yan ◽  
Jie Chen ◽  
Holger Nies ◽  
Otmar Loffeld

Research on real-time spaceborne synthetic aperture radar (SAR) imaging has emerged as satellite computation capability has increased and applications of SAR imaging products have expanded. The orbit determination data of a spaceborne SAR platform are essential for the SAR imaging procedure. In real-time SAR imaging, onboard orbit determination data cannot achieve a level of accuracy that is equivalent to the orbit ephemeris in ground-based SAR processing, which requires a long processing time using common ground-based SAR imaging procedures. It is important to study the influence of errors in onboard real-time orbit determination data on SAR image quality. Instead of the widely used numerical simulation method, an analytical approximation model of the quadratic phase error (QPE) introduced by orbit determination errors is proposed. The proposed model can provide approximation results at two granularities: approximations with a satellite’s true anomaly as the independent variable and approximations for all positions in the satellite’s entire orbit. The proposed analytical approximation model reduces simulation complexity, extent of calculations, and the processing time. In addition, the model reveals the core of the process by which errors are transferred to QPE calculations. A detailed comparison between the proposed method and a numerical simulation method proves the correctness and reliability of the analytical approximation model. With the help of this analytical approximation model, the technical parameter iteration procedure during the early-stage development of an onboard real-time SAR imaging mission will likely be accelerated.


2019 ◽  
Vol 44 (5) ◽  
pp. 3230-3239 ◽  
Author(s):  
Jorge Palma Carrasco ◽  
Diego David Silva Diniz ◽  
José Maria Andrade Barbosa ◽  
Antonio Almeida Silva ◽  
Marco Antonio dos Santos

2020 ◽  
Vol 12 (19) ◽  
pp. 3156
Author(s):  
Xiaoyu Yan ◽  
Jie Chen ◽  
Holger Nies ◽  
Otmar Loffeld

Real-time spaceborne bistatic SAR imaging could significantly reduce the whole processing time and can enhance the spaceborne SAR mission availability. Onboard real-time SAR imaging relies on the Doppler parameters estimated from the real-time onboard orbit determination system (OODS) measurement, whose accuracy level is not comparable to the orbit ephemeris data in ground-based SAR processing. The investigation of the impact of error in real-time OODS measurements on bistatic SAR image quality is necessary, and it can help to clarify the key parameter limits of the real-time OODS. The monostatic analytical approximation model (MonoAAM) for spaceborne SAR reduces simulation complexity and processing time compared to the widely used numerical simulation method. However, due to the different configurations between spaceborne bistatic and monostatic SAR, simply applying the MonoAAM on spaceborne bistatic SAR cannot guarantee the desired result. A bistatic analytical approximation model (BiAAM) for Doppler rate estimation error from real-time OODS measurement in real-time spaceborne bistatic SAR imaging is proposed for characterizing the estimation error. Selecting quadratic phase error (QPE) as an evaluation variable, the proposed BiAAM model can provide QPE estimation results for each position of the satellite in its orbit and the maximum QPE estimation for the whole orbit, while revealing the different process of OODS measurement error transferring to QPE in spaceborne bistatic SAR. The correctness and reliability of BiAAM are evaluated by comparing the result with a Monte Carlo numerical simulation method. With the supporting result from BiAAM, the concept and early-stage development of a real-time onboard bistatic SAR imaging mission could be possibly benefited.


2012 ◽  
Vol 30 (9) ◽  
pp. 1315-1319 ◽  
Author(s):  
H. J. Fahr ◽  
H. Fichtner

Abstract. The discussion of exactly which process is causing the preferred build-up of v−5-power law tails of the velocity distribution of suprathermal particles in the solar wind is still ongoing. Criteria allowing one to discriminate between the various suggestions that have been made would be useful in order to clarify the physics behind these tails. With this study, we draw the attention to the so-called "step feature" of the velocity distributions and offer a criterion that allows one to distinguish between those scenarios that employ velocity diffusion, i.e. second-order Fermi processes, which are prime candidates in the present debate. With an analytical approximation to the self-consistently obtained velocity diffusion coefficient, we solve the transport equation for suprathermal particles. The numerical simulation reveals that this form of the diffusion coefficient naturally leads to the step feature of the velocity distributions. This finding favours – at least in regions of the appearance of the step feature (i.e. for heliocentric distances up to about 11 AU and at lower energies) – the standard velocity diffusion as a consequence of the particle's interactions with the plasma wave turbulence as opposed to that caused by velocity fluctuation-induced compressions and rarefactions.


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