3,568 research outputs found

    Fast Finite Difference Time Domain Algorithms for Solving Antenna Application Problem

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    This thesis describes the implementations of new parallel and sequential algorithms for electromagnetic wave propagation from a monopole antenna. Existing method, known as FDTD needs a very long processing time to solve this problem. The objective of the thesis is to develop new sequential and parallel algorithms that are faster than the standard Finite Difference Time Domain method. In this thesis, a SMP machine, the Sun Fire V1280 using six existing processors is used to solve 1D and 2D free space Maxwell equations with perfectly conducting boundary and absorbing boundary conditions. Complexity reduction approach concept is used to develop these algorithms. This approach split the solution domain into 1 3 and 2 3 compartments in 1D case and 1 9 and 8 9 compartments in 2D cases. Only 1 3 and 1 9 parts of the solution domain are solved in the main looping construct for problem in 1D and 2D, while the remaining points are solved outside the loop. The solutions to both parts are discussed in details in this thesis. These new parallel and sequential finite difference time domain (FDTD) algorithms yield from O(h2), ordinary O(h4) and weighted average O(h4) centered difference discretization using direct-domain and temporary-domain are used to solve problems mentioned above. In parallel implementation, techniques such as static scheduling, data decomposition and load balancing is used. Based on experimental results and complexity analysis, these new sequential and parallel algorithms are compared with the standard sequential and parallel FDTD algorithms, respectively. Results show that these new sequential and parallel algorithms run faster than the standard sequential and parallel FDTD algorithms. Beside that, formulation of a new higher accuracy second order method, which is called improved high speed low order finite difference time domain (IHSLO-FDTD) with direct-domain and temporary-domain are also proposed to solve the same problem are also described. Results show that, the IHSLO-FDTD with direct-domain and temporary-domain approaches are more efficient and economical. In general, almost all new proposed methods are more economical and run faster (except the Weighted Average High Speed High Order Finite Difference Time Domain (WAHSHO-FDTD) in directdomain and temporary-domain for 1D case) compared to the standard FDTD method for 1D and 2D case especially for IHSLO-FDTD

    Modeling of the excited modes in inverted embedded microstrip lines using the finite-difference time-domain (FDTD) technique

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    This thesis investigates the presence of multiple (quasi-TEM) modes in inverted embedded microstrip lines. It has already been shown that parasitic modes do exist in inverted embedded microstrips due to field leakage inside the dielectric substrate, especially for high dielectric constants (like Silicon). This thesis expands upon that work and characterizes those modes for a variety of geometrical dimensions. Chapter 1 focuses on the theory behind the different transmission line modes, which may be present in inverted embedded microstrips. Based on the structure of the inverted embedded microstrip, the conventional microstrip mode, the quasi-conventional microstrip mode, and the stripline mode are expected. Chapter 2 discusses in detail the techniques used to decompose the total probed field into the various modes present in the inverted embedded microstrip lines. Firstly, a short explanation of the finite-difference time-domain method, that is used for the simulation and modeling of inverted microstrips up to 50 GHz is provided. Next, a flowchart of the process involved in decomposing the modes is laid out. Lastly, the challenges of this approach are also highlighted to give an appreciation of the difficulty in obtaining accurate results. Chapter 3 shows the results (dispersion diagrams, values/percentage of the individual mode energies ) obtained after running time-domain simulations for a variety of geometrical dimensions. Chapter 4 concludes the thesis by explaining the results in terms of the transmission line theory presented in Chapter 1. Next, possible future work is mentioned.M.S.Committee Chair: Tentzeris, Emmanouil; Committee Member: Andrew Peterson; Committee Member: Laskar, Joy; Committee Member: Papapolymerou, Ioanni

    Benchmark of FEM, Waveguide and FDTD Algorithms for Rigorous Mask Simulation

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    An extremely fast time-harmonic finite element solver developed for the transmission analysis of photonic crystals was applied to mask simulation problems. The applicability was proven by examining a set of typical problems and by a benchmarking against two established methods (FDTD and a differential method) and an analytical example. The new finite element approach was up to 100 times faster than the competing approaches for moderate target accuracies, and it was the only method which allowed to reach high target accuracies.Comment: 12 pages, 8 figures (see original publication for images with a better resolution

    Diagnosing numerical Cherenkov instabilities in relativistic plasma simulations based on general meshes

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    Numerical Cherenkov radiation (NCR) or instability is a detrimental effect frequently found in electromagnetic particle-in-cell (EM-PIC) simulations involving relativistic plasma beams. NCR is caused by spurious coupling between electromagnetic-field modes and multiple beam resonances. This coupling may result from the slow down of poorly-resolved waves due to numerical (grid) dispersion and from aliasing mechanisms. NCR has been studied in the past for finite-difference-based EM-PIC algorithms on regular (structured) meshes with rectangular elements. In this work, we extend the analysis of NCR to finite-element-based EM-PIC algorithms implemented on unstructured meshes. The influence of different mesh element shapes and mesh layouts on NCR is studied. Analytic predictions are compared against results from finite-element-based EM-PIC simulations of relativistic plasma beams on various mesh types.Comment: 31 pages, 20 figure

    Adaptive Wavelet Collocation Method for Simulation of Time Dependent Maxwell's Equations

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    This paper investigates an adaptive wavelet collocation time domain method for the numerical solution of Maxwell's equations. In this method a computational grid is dynamically adapted at each time step by using the wavelet decomposition of the field at that time instant. In the regions where the fields are highly localized, the method assigns more grid points; and in the regions where the fields are sparse, there will be less grid points. On the adapted grid, update schemes with high spatial order and explicit time stepping are formulated. The method has high compression rate, which substantially reduces the computational cost allowing efficient use of computational resources. This adaptive wavelet collocation method is especially suitable for simulation of guided-wave optical devices

    Terahertz sensing Photoresist Dependent Thickness and Length by Using Two-channel parallel-plate Waveguides

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    ๋ณธ ๋…ผ๋ฌธ์—์„œ Chapter 1 ํ…Œ๋ผํ—ค๋ฅด์ธ (Terahertz : 0.1 ~ 10THz)๋ž€ ๋ฌด์—‡์ธ์ง€์— ๋Œ€ํ•˜์—ฌ, ๋‹ค๋ฅธ ์ข…๋ฅ˜์˜ ์ „ํŒŒ ํŠน์„ฑ๊ณผ ๋น„๊ตํ•˜์—ฌ ํ…Œ๋ผํŒŒ๋ฅผ ์„œ์ˆ ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ง€๊ธˆ๊นŒ์ง€ ์‚ฌ์šฉ๋˜์–ด์ง„ ๋Œ€ํ‘œ์ ์ธ ํ…Œ๋ผํŒŒ ๋ฐœ์ƒ๊ณผ ์ธก์ • ๋ฐฉ์‹๊ณผ ์›๋ฆฌ๋ฅผ ์„ค๋ช…ํ•˜์˜€๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ด‘์ „๋„ ์•ˆํ…Œ๋‚˜ PCA (Photoconductive antenna) ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ, ํ…Œ๋ผํŒŒ ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์„ค๋ช…์„ ํ•˜์˜€๋‹ค. ํ‰ํ–‰ ๋„ํŒŒ๋กœ๋ฅผ ์ง„ํ–‰ํ•˜๋Š” ์ „์ž๊ธฐํŒŒ์— ๋Œ€ํ•œ ์ด๋ก ์„ Chapter 2์— ์„œ์ˆ ํ•˜์˜€๋‹ค. ํŠนํžˆ, TE (transverse electric) mode ์™€ TM (transverse magnetic) mode์— ๋Œ€ํ•œ ์ด๋ก ์ ์ธ ๋ถ„์„์„ ํ†ตํ•˜์—ฌ ํ‰ํ–‰๋„ํŒŒ๋กœ ๋‚ด์—์„œ ์ „ํŒŒํ•˜๋Š” ๊ฐ๊ฐ์˜ ๋ชจ๋“œ์—์„œ์˜ ๊ตฐ์†๋„ ๋ถ„์‚ฐ๊ณผ ์ฐจ๋‹จ ์ฃผํŒŒ์ˆ˜์— ๋Œ€ํ•ด ์„œ์ˆ ํ•˜์˜€๋‹ค. FDTD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ๋Œ€ํ•ด Chapter 3์— ์„œ์ˆ ํ•˜์˜€๋‹ค. ์ „๊ธฐ์žฅ๊ณผ ์ž๊ธฐ์žฅ ์‚ฌ์ด์˜ ๋งฅ์Šค์›ฐ ๋ฐฉ์ •์‹์„ ๊ฐ€์ƒ์˜ ๊ณต๊ฐ„์—์„œ ์ปดํ“จํ„ฐ ๊ณ„์‚ฐ์— ์ ์šฉํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, FDTD ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์กฐ๊ฑด์— ๋Œ€ํ•ด ์„ค๋ช…๊ณผ, ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ ์šฉํ•˜์—ฌ 1์ฐจ, 2์ฐจ์›์˜ ๊ณต๊ฐ„์—์„œ์˜ ๋งฅ์Šค์›ฐ ๋ฐฉ์ •์‹์„ ๊ณ„์‚ฐ ํ•˜๊ธฐ์œ„ํ•œ ๋ฐฉ์‹์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐ ํ•˜๊ณ  2์ฐจ์› ๊ณต๊ฐ„์—์„œ๋Š” ์ „์ž๊ธฐํŒŒ์˜ ๋Œ€ํ‘œ์ ์ธ TE ๋ชจ๋“œ TM ๋ชจ๋“œ๋กœ ๋‚˜๋ˆ„์–ด ์„œ์ˆ ํ•˜์˜€๋‹ค. Chapter 4์—์„œ๋Š” ํ‰ํ–‰ ๋„ํŒŒ๋กœ๋ฅผ ์ด์šฉํ•œ ๋ฐ•๋ง‰ ์ธก์ •ํ•˜์˜€๋‹ค. ์ฒ˜์Œ์œผ๋กœ, Chapter 4.1 to 4.3์—์„œ๋Š” ํ‰ํ–‰ ๋„ํŒŒ๋กœ๋ฅผ ์ด์šฉํ•œ ๋ฐ•๋ง‰ ์ธก์ • ๋ฐฉ์‹๊ณผ ์ง€๊ธˆ๊นŒ์ง€ ์‚ฌ์šฉ๋˜์–ด์ง„ ํ…Œ๋ผํŒŒ๋ฅผ ์ด์šฉํ•œ ๋‹ค์–‘ํ•œ ์ธก์ • ๋ฐฉ์‹์— ๋Œ€ํ•ด ์„œ์ˆ ํ•˜์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ๋กœ, Chapter 4.4.2 ์—์„œ๋Š” Chapter 3์—์„œ ๊ณต๋ถ€ํ•œ FDTD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ด์šฉํ•˜์—ฌ ๋ฐ•๋ง‰์˜ ๊ธธ์ด์™€ ๋‘๊ป˜์— ๋”ฐ๋ฅธ TTS (time turning sensitivity) ์™€ FTS (frequency turning sensitivity)๋ฅผ ์˜ˆ์ธกํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, Chapter 4.4.5 ์‹คํ—˜์„ ํ†ตํ•˜์—ฌ ๋ฐ•๋ง‰์˜ ๋‘๊ป˜์™€ ๊ธธ์ด๋ฅผ ๋ณ€ํ™”์‹œ์ผœ ์ธก์ •ํ•˜๊ณ  ์•ž์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๋น„๊ต ๋ถ„์„ํ•˜์—ฌ resonance ์ด๋™์˜ ์›์ธ์— ๋Œ€ํ•œ ๋ถ„์„์„ ํ•˜์˜€๋‹ค.CONTENTS Chapter 1 Introduction .............................................................. 1.1 What is Terahertz? 1.2 THz Pulse Generation and Detection 1.2.1 THz pulse Genneration 1.2.1 THz pulse Detection 1.3 Experiment result 1.4 Overview of Thesis Chapter 2 Theory ........................................... 2.1 Waveguide Theory : PPWG 2.1.1 Mode Classification 2.1.2 TE and TM Mode Chapter 3 Finite-Difference Time-Domain 3.1 what is FDTD (Finite-Difference Time-Domain)? 3.2 1D FDTD 3.3 2D FDTD 3.3.1 TE Simulation 3.3.2 TM Simulation Chapter 4 Application 1 : Thin Film sensing ...... 4.1 Wave guide : PPWG 4.1.1 many kind of Waveguide 4.1.2 History of PPWG 4.2 What is hin film 4.3 Method of thin film sensing 4.4 PPWG : Parallel-plate waveguide sensing 4.4.1 Simulation condition 4.4.2 Simulation : Thin film sensing 4.4.3 Experiment Set up & Thin film 4.4.4 Experiment : Thin film sensing 4.4.5 Analysis Chapter 5 Conclusion ...................................... 5.1 waveguide sensin

    A convergent Born series for solving the inhomogeneous Helmholtz equation in arbitrarily large media

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    We present a fast method for numerically solving the inhomogeneous Helmholtz equation. Our iterative method is based on the Born series, which we modified to achieve convergence for scattering media of arbitrary size and scattering strength. Compared to pseudospectral time-domain simulations, our modified Born approach is two orders of magnitude faster and nine orders of magnitude more accurate in benchmark tests in 1-dimensional and 2-dimensional systems
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