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Gravitational Wave Propagation for The Generalized Proca Theories 广义Proca理论的引力波传播
Pub Date : 2022-10-31 DOI: 10.5614/itb.ijp.2022.33.1.7
Marliana Lutan, A. Widiyani, A. Sutiono, G. Hikmawan, A. Suroso, F. P. Zen
In general relativity, a gravitational wave propagates with the speed of light, but inthe alternative theories of gravity, propagation speed could deviate from the speed of lightdue to the modification of gravity. Gravitational waves are influenced by modified gravityduring propagation at the cosmological distance. In this paper, we investigate thepropagation of a gravitational wave of the generalized Proca theories by consideringgravitational wave as the gravitational field propagates in spacetime as a wave perturbing flatspacetime. We show that the arbitrary functions G3, G4, and G5 can be the sources ofdeviation of the speed of the gravitational wave.
在广义相对论中,引力波以光速传播,但在其他引力理论中,由于引力的改变,传播速度可能会偏离光速。引力波在宇宙距离上传播时受到修正重力的影响。本文研究了广义Proca理论中引力波的传播,将引力波视为引力场在时空中作为扰动平坦时空的波传播。我们证明了任意函数G3、G4和G5可以成为引力波速度偏差的来源。
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引用次数: 0
The Effect of Niobium and Rubidium Doping on the Energy Band Gap of a Lithium Tantalate (LiTaO3) Thin Film 铌铷掺杂对钽酸锂(LiTaO3)薄膜能带隙的影响
Pub Date : 2021-12-29 DOI: 10.5614/itb.ijp.2021.32.2.1
Agus Ismangil, F. A. Noor, T. Winata
Chemical solution deposition (CSD) is a technique for making a film by keeping synthetic arrangements on the outer layer of the substrate. The outcomes show that the band gap energy of the LiTaO3 film is 1 eV. Electrons are more effectively invigorated to the valence band than to the conduction band on the grounds that the energy required is not excessively huge. Niobium-doped LiTaO3 film has a band gap energy of 1.15 eV. A large amount of energy is needed for electrons to be energized from the valence band to the conduction band. The rubidium-doped LiTaO3 film has a band gap energy of 1.30 eV.
化学溶液沉积(CSD)是一种通过在衬底外层保持合成排列来制备薄膜的技术。结果表明,LiTaO3薄膜的带隙能为1 eV。电子被激活到价带比到导带更有效,因为所需的能量不是太大。掺铌的LiTaO3薄膜带隙能为1.15 eV。电子从价带被激发到导带需要大量的能量。掺铷的LiTaO3薄膜带隙能量为1.30 eV。
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引用次数: 0
Scalar-Torsion Theories in Four Dimensional Static Spacetimes 四维静态时空中的标量-扭转理论
Pub Date : 2021-12-28 DOI: 10.5614/itb.ijp.2021.32.2.3
M. ., F. Akbar, B. Gunara
In this paper, we consider a class of static spacetimes scalar-torsion theories in four dimensioanal static spacetimes with the scalar potential turned on. We discover that the 2-dimensional submanifold must admit constant triplet structures, one of which is the torsion scalar. This indicates that these equations of motion can be reduced to a single highly non-linear ordinary differential equation known as the master equation. Then, we show that there are no exact solution of the scalar-torsion theory in four dimensions considering the Sinh-Gordon potential.
本文考虑了四维静态时空中具有标量势的一类静态时空标量扭转理论。我们发现二维子流形必须承认常数三重结构,其中一个是扭转标量。这表明,这些运动方程可以简化为一个高度非线性的常微分方程,即主方程。然后,我们证明了考虑Sinh-Gordon势的四维标量-扭转理论不存在精确解。
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引用次数: 0
Einstein-Klein-Gordon System in Higher Dimensional 高维爱因斯坦-克莱因-戈登系统
Pub Date : 2021-12-28 DOI: 10.5614/itb.ijp.2021.32.2.4
M. P. Wijayanto, Fiki Taufik Akbar Sobar, B. Gunara
In this present work, we study the Einstein equation coupled with the nonlinear Klein-Gordon equation. We obtain Ricci tensor, scalar curvature, and Einstein equation of the Einstein-Klein-Gordon system in higher dimensional. If we put D=4, our formulations reduce to the four dimensional Einstein-Klein-Gordon system.
在本工作中,我们研究了爱因斯坦方程与非线性Klein-Gordon方程耦合。得到了高维Einstein- klein - gordon系统的Ricci张量、标量曲率和爱因斯坦方程。如果我们让D=4,我们的公式就简化为四维爱因斯坦-克莱因-戈登系统。
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引用次数: 0
Effect of Dimensionality on The Electronic Properties of SnSe: A Density Functional Theory Study 维数对SnSe电子性质的影响:密度泛函理论研究
Pub Date : 2021-12-28 DOI: 10.5614/itb.ijp.2021.32.2.2
F. A. Noor, E. B. Yutomo, T. Winata
This study investigated the structural and electronic properties of bulk, bilayer, and monolayer SnSe using the density functional theory (DFT) method. We succeeded in calculating the bandgap and identifying accurately the transformation of the band structure from bulk to monolayer systems using generalized gradient approximation. An increase in the lattice parameter a and a decrease in the lattice parameter b were observed when the bulk dimensions were reduced to a monolayer. The reduction of van der Waals interactions when the dimensions of a system are reduced is the main factor that causes changes in lattice parameters. The indirect bandgap of bulk SnSe (0.56 eV, 0.3∆→0.7Σ) becomes wider in the monolayer system (0.94 eV, 0.2∆→0.8Σ). Bandgap widening is predicted due to the emergence of the quantum confinement effect in low-dimensional systems. Furthermore, we found the formation of a quasi-degenerate minimum conduction band in the monolayer SnSe. With the formation of these bands, we predict the monolayer SnSe will have better thermoelectric properties than the bulk or bilayer system. This study provides an in-depth understanding of the electronic structure of SnSe and its correlation to thermoelectric properties.
本研究利用密度泛函理论(DFT)方法研究了块体、双层和单层SnSe的结构和电子特性。我们成功地计算了带隙,并使用广义梯度近似准确地识别了带结构从体到单层的转变。当体积尺寸减小到单层时,观察到晶格参数a的增加和晶格参数b的减少。当系统维数减少时,范德华相互作用的减少是引起晶格参数变化的主要因素。块体SnSe (0.56 eV, 0.3∆→0.7Σ)的间接带隙在单层体系(0.94 eV, 0.2∆→0.8Σ)中变宽。由于低维系统中量子约束效应的出现,预测了带隙的扩大。此外,我们发现在单层SnSe中形成了准简并最小导带。随着这些能带的形成,我们预测单层SnSe将比体层或双层体系具有更好的热电性能。本研究深入了解了SnSe的电子结构及其与热电性质的关系。
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引用次数: 0
MODIFIED CORRELATION WEIGHT K-NEAREST NEIGHBOR CLASSIFIER USING TRAINING DATASET CLEANING METHOD 改进了基于训练数据集清洗方法的相关权k近邻分类器
Pub Date : 2021-12-28 DOI: 10.5614/itb.ijp.2021.32.2.5
E. K. D. Kette
In pattern recognition, the k-Nearest Neighbor (kNN) algorithm is the simplest non-parametric algorithm. Due to its simplicity, the model cases and the quality of the training data itself usually influence kNN algorithm classification performance. Therefore, this article proposes a sparse correlation weight model, combined with the Training Data Set Cleaning (TDC) method by Classification Ability Ranking (CAR) called the CAR classification method based on Coefficient-Weighted kNN (CAR-CWKNN) to improve kNN classifier performance. Correlation weight in Sparse Representation (SR) has been proven can increase classification accuracy. The SR can show the 'neighborhood' structure of the data, which is why it is very suitable for classification based on the Nearest Neighbor. The Classification Ability (CA) function is applied to classify the best training sample data based on rank in the cleaning stage. The Leave One Out (LV1) concept in the CA works by cleaning data that is considered likely to have the wrong classification results from the original training data, thereby reducing the influence of the training sample data quality on the kNN classification performance. The results of experiments with four public UCI data sets related to classification problems show that the CAR-CWKNN method provides better performance in terms of accuracy.
在模式识别中,k近邻(kNN)算法是最简单的非参数算法。由于其简单性,模型案例和训练数据本身的质量通常会影响kNN算法的分类性能。因此,本文提出了一种稀疏相关权模型,结合基于分类能力排序(CAR)的训练数据集清洗(TDC)方法,称为基于系数加权kNN的CAR分类方法(CAR- cwknn),以提高kNN分类器的性能。稀疏表示中的相关权重被证明可以提高分类精度。SR可以显示数据的“邻域”结构,这就是为什么它非常适合基于最近邻的分类。在清洗阶段,使用分类能力(CA)函数对基于秩的最佳训练样本数据进行分类。CA中的Leave One Out (LV1)概念通过从原始训练数据中清除被认为可能具有错误分类结果的数据,从而减少训练样本数据质量对kNN分类性能的影响。在4个与分类问题相关的公共UCI数据集上进行的实验结果表明,CAR-CWKNN方法在准确率方面具有更好的性能。
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引用次数: 0
Lid-Driven Cavity For Mantle Convection Modelling Using Lattice Boltzmann Method 基于晶格玻尔兹曼方法的地幔对流盖驱动空腔模拟
Pub Date : 2021-11-14 DOI: 10.5614/ijp.v32i1.307
U. Fauzi
The Lattice Boltzmann Method is one of the computational fluid dynamics methods that can be applied to simulate fluid based on the microscopic and kinetic theory of gases. In this study, earth mantle convection is simulated by combining the concept of lid-driven cavity simulation and natural convection using the Lattice Boltzmann method in a two-dimensional system (D2Q9). The results of the lid-driven cavity and natural convection simulation are comparable to previous works. This study shows that at a certain lid velocity, the direction of the moving plume is changed. This earth mantle convection simulation will give better and more reliable results by considering more complicated boundary conditions and adequate simulation systems.
晶格玻尔兹曼方法是一种基于气体微观和动力学理论的计算流体力学方法,可以应用于模拟流体。在本研究中,利用二维系统(D2Q9)中的Lattice Boltzmann方法,将盖子驱动空腔模拟的概念与自然对流相结合,模拟了地球地幔对流。盖驱动腔体和自然对流的模拟结果与前人的研究成果相当。研究表明,在一定的盖子速度下,运动羽流的方向发生了变化。考虑更复杂的边界条件和适当的模拟系统,将得到更好、更可靠的地幔对流模拟结果。
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引用次数: 1
Review on monitoring natural and environmental radiation and its potential from mining products 审查监测自然和环境辐射及其采矿产品的潜力
Pub Date : 2021-11-14 DOI: 10.5614/ijp.v32i1.302
Imam Ghazali Yasmint
Monitoring of natural radiation in Indonesia has been carried out by various parties, from researchers, academics at universities to special agencies tasked with handling this matter, such as the National Nuclear Energy Agency (Batan) and the Nuclear Energy Supervisory Agency (Bapeten). Batan through the Center for Radiation Safety and Metrology Technology (PTKMR) is in charge of monitoring natural radiation at the national level. The purpose of this paper is to review the monitoring of natural and environmental radiation in Indonesia and the potential of mining products as a source of natural radiation. The mining products that will be reviewed in this paper are natural uranium and thorium which are usually found in several mines, such as tin mines and others.
印度尼西亚的自然辐射监测由各方面进行,从研究人员、大学学者到负责处理这一问题的特别机构,如国家核能机构(Batan)和核能监督机构(Bapeten)。Batan通过辐射安全与计量技术中心(PTKMR)负责国家层面的自然辐射监测。本文的目的是审查印度尼西亚对自然和环境辐射的监测以及矿产品作为自然辐射源的潜力。本文将讨论的矿产品是天然铀和钍,它们通常存在于几种矿山中,如锡矿和其他矿山。
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引用次数: 0
In-House Software Development for Data Visualization of Random Motion Configuration of Particles in Fluid 流体中粒子随机运动形态数据可视化的内部软件开发
Pub Date : 2021-11-14 DOI: 10.5614/ijp.v32i1.308
S. U. Dini, S. Viridi
This study aims to develop in-house software for data visualization program using Python programming language. Implement a simple algorithm and use the matplotlib library for 2D plotting. The results of development of this program were tested using a dataset from random motion simulation results of many particles modeled by two-dimensional circle shape and the diameter size as D. Data visualization in the form of particles configuration then confirmed with the particles configuration of the simulation results. Based on the test, it is found that the particles configuration results of the visualization are same as the configuration of the simulated particles. This shows that the data visualization program that has been developed can be used to process other data stored in a predetermined data format.
本研究旨在使用Python编程语言开发内部数据可视化程序软件。实现一个简单的算法,并使用matplotlib库进行2D绘图。采用二维圆形状、直径尺寸为d的多粒子随机运动仿真结果数据集对程序的开发结果进行了验证,数据以粒子构型的形式可视化,并与仿真结果的粒子构型进行了验证。通过试验发现,可视化的颗粒构型结果与模拟颗粒的构型一致。这表明所开发的数据可视化程序可以用来处理以预定数据格式存储的其他数据。
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引用次数: 0
A Modelling of Tunnelling Current through a Trapezoidal Potential Barrier by Using Exponential Wavefunction Approach 用指数波函数法模拟通过梯形势垒的隧穿电流
Pub Date : 2021-11-14 DOI: 10.5614/ijp.v32i1.304
Fitriyadi -
A tunnelling current through a trapezoidal barrier potential has been modelled. The transmittance is determined using the exponential wavefunction approach method. Furthermore, the transmittance is used to calculate the tunnelling current density by applying the Gauss-Laguerre quadrature method. The simulation results show the increasing bias voltage causes the raising tunnelling current, and an increase of temperature is proportional to the tunnelling current.
建立了通过梯形势垒的隧穿电流模型。透射率采用指数波函数法确定。利用透射率,利用高斯-拉盖尔正交法计算隧道电流密度。仿真结果表明,随着偏置电压的增大,隧道电流增大,温度的升高与隧道电流成正比。
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引用次数: 0
期刊
Indonesian Journal of Physics
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