Journal of Quantitative Spectroscopy & Radiative Transfer最新文献

英文中文

GAAS: GPU accelerated absorption simulator GAAS： GPU 加速吸收模拟器

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-12-07 DOI: 10.1016/j.jqsrt.2024.109307

Charles S. Callahan , Sean M. Bresler , Sean C. Coburn , David A. Long , Gregory B. Rieker

Interpreting measured absorption spectroscopy data can require repeated simulations of the expected absorption spectrum to fit the data. In cases of high temperature or broadband spectra, the computational load of the spectral analysis can be expensive due to the large number of individual absorption transitions that contribute to each simulation. We present a Graphics Processing Unit (GPU) Accelerated Absorption Simulator (GAAS) – a fast, hardware-accelerated, line-by-line absorption simulation software for generating absorption spectra based on Voigt and Hartmann-Tran lineshape profiles. We show that GAAS produces the same output spectra as the high-resolution transmission molecular absorption database (HITRAN) Application Programming Interface (HAPI) to within 32-bits of numerical precision for spectra based on both Voigt and Hartmann-Tran profiles. We also measure the performance increase compared to HAPI and demonstrate that GAAS can reduce simulation time by up to 115x for spectra containing many (several thousand or more) absorption transitions. The software is provided as an open-source python library which is built around an OpenCL implementation of the Voigt and Hartmann-Tran lineshape functions. GAAS can be run on a variety of GPU hardware including integrated GPUs on most computers and high-performance external GPUs. It is installed as a standalone Python library, making it accessible and easy to use for many applications. GAAS will enable researchers to more efficiently analyze complex spectra, especially using advanced lineshapes, to ultimately increase the accuracy of complex spectroscopic measurements.

解释测量的吸收光谱数据可能需要重复模拟预期的吸收光谱来拟合数据。在高温或宽带光谱的情况下，光谱分析的计算负荷可能是昂贵的，因为大量的单个吸收跃迁有助于每个模拟。我们提出了一个图形处理单元（GPU）加速吸收模拟器(GAAS) -一个快速，硬件加速，逐行吸收模拟软件，用于生成基于Voigt和Hartmann-Tran线形轮廓的吸收光谱。研究表明，GAAS产生的输出光谱与高分辨率透射分子吸收数据库（HITRAN）应用程序编程接口（HAPI）相同，基于Voigt和Hartmann-Tran谱图的光谱的数值精度在32位以内。与HAPI相比，我们还测量了性能的提高，并证明对于包含许多（数千或更多）吸收跃迁的光谱，GAAS可以将模拟时间减少多达115倍。该软件是作为一个开源python库提供的，它是围绕Voigt和Hartmann-Tran线形函数的OpenCL实现构建的。GAAS可以在各种GPU硬件上运行，包括大多数计算机上的集成GPU和高性能外部GPU。它作为一个独立的Python库安装，使其易于访问和使用许多应用程序。GAAS将使研究人员能够更有效地分析复杂光谱，特别是使用先进的线形状，最终提高复杂光谱测量的精度。

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引用次数: 0

Transmittance of Gaussian beams in biological tissues 生物组织中高斯光束的透射率

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-12-06 DOI: 10.1016/j.jqsrt.2024.109312

Murat Kaan Özcan , Muhsin Caner Gökçe , Yahya Baykal

The study examines the average transmittance of Gaussian beams passing through various biological tissues, taking into account the impact of turbulence, absorption, and scattering. The extended Huygens-Fresnel technique, which utilizes the power spectrum of turbulent biological tissues, is applied to determine the optical intensity at the observation point. Additionally, there are tabulated absorption and scattering coefficients available for the application of the Beer-Lambert law, facilitating the calculation of optical light attenuation in biological tissues. Examining the impact of turbulence, as well as absorption and scattering-induced attenuation on the Gaussian beam's propagation, the changes in transmittance are documented across different tissue parameters.

研究考察了高斯光束穿过各种生物组织时的平均透射率，并考虑了湍流、吸收和散射的影响。扩展的惠更斯-菲涅尔技术利用湍流生物组织的功率谱来确定观测点的光强度。此外，在应用比尔-朗伯定律时，还提供了吸收和散射系数表，便于计算生物组织中的光衰减。通过研究湍流以及吸收和散射引起的衰减对高斯光束传播的影响，记录了不同组织参数下透射率的变化。

引用次数: 0

Convolutional neural network for 2D-reconstructions of rough particles from their experimental speckle images in interferometric particle imaging 干涉粒子成像中粗糙粒子实验散斑图像的卷积神经网络二维重建

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-12-06 DOI: 10.1016/j.jqsrt.2024.109315

Alexis Abad, Alexandre Poux, Marc Brunel

A convolutional neural network (CNN) has been trained to reconstruct the two-dimensional (2D) shape of rough particles from their interferometric defocused images. The experimental set-up uses a digital micro-mirror device (DMD). The particles programmed on the DMD can have different morphologies: stick, cross, dendrite, L, T and Y. Sticks, crosses and dendrites are centrosymmetric, while l-, T-, and Y-shaped particles are non-centrosymmetric. For each family of particle, the training of the CNN has been performed for particle's sizes that cover a decade from hundreds of micrometers to millimeters, and for an arbitrary 3D-orientation of the particle. Accurate reconstructions and particle sizing can be done. Using three orthogonal views of the same particle, a three-dimensional (3D) reconstruction can be further done to estimate the 3D-morphology of the particle.

卷积神经网络（CNN）已经被训练用来从干涉散焦图像中重建粗糙颗粒的二维（2D）形状。实验装置采用数字微镜装置（DMD）。在DMD上编程的颗粒可以具有不同的形态：棒状、十字形、枝晶、L形、T形和y形。棒状、十字形和枝晶是中心对称的，而L形、T形和y形颗粒是非中心对称的。对于每个家族的粒子，CNN的训练已经完成了从数百微米到毫米的粒子大小，以及粒子的任意3d方向的训练。可以进行精确的重建和粒度测定。利用同一粒子的三个正交视图，可以进一步进行三维重建，以估计粒子的三维形态。

引用次数: 0

The tenth international symposium on radiative transfer (RAD-23) 第十届辐射转移国际研讨会（RAD-23）

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-12-05 DOI: 10.1016/j.jqsrt.2024.109276

Dr. Denis Lemonnier , Prof. Brent W. Webb , Prof. Dr. M.Pınar Mengüç (Director)

引用次数: 0

Inversion of optical constants of natural silk fibers based on FDTD-PSO and scattering experiments 基于 FDTD-PSO 和散射实验的天然丝纤维光学常数反演

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-12-05 DOI: 10.1016/j.jqsrt.2024.109314

Zhengwei Tao, Jun Qiu

The optical constants of fiber materials are of great value in the study of the mechanism and application of radiation regulation, but the conventional methods for obtaining the optical constants of fiber materials suffer from a series of problems such as compositional differences, chemical residues, and microstructural damages, which make it difficult to obtain the optical constants of the fiber materials and make the final results of the measurements doubtful. In this work, a new intelligent inversion method is developed, based on the first-principles calculations of electromagnetic scattering using Finite Difference Time Domain method and particle swarm optimization algorithm (FDTD-PSO), to obtain the optical constants of fibers through the measurement of the scattered radiation properties of fiber materials and the characterization of their surface microstructures. The feasibility and accuracy of the method are demonstrated by theoretical numerical calculation simulations of different kinds of fibers, and the scale effect and error are analyzed from three aspects, namely, scale parameters, roughness and incident light angle direction. The results show that the dimensions, roughness and incident wavelength of the fiber material are in the sub-wavelength scale interval, which requires high model accuracy and gives the appropriate inversion range interval. Finally, the method is experimentally validated by using the natural silk fibers. This work constructs a complete set of theoretical models and experimental methods to accurately obtain the optical constants of actual fiber materials, which provides a new direction for obtaining the optical constants of fiber materials and a numerical basis for the study of the radiation modulation mechanism of fiber materials.

纤维材料的光学常数在辐射调控机理和应用研究中具有重要价值，但传统的纤维材料光学常数获取方法存在成分差异、化学残留、微结构损伤等一系列问题，导致纤维材料光学常数难以获得，最终测量结果存疑。本研究在利用有限差分时域法和粒子群优化算法（FDTD-PSO）进行电磁散射第一原理计算的基础上，开发了一种新的智能反演方法，通过测量纤维材料的散射辐射特性和表征其表面微结构来获得纤维的光学常数。通过对不同种类纤维的理论数值计算模拟，证明了该方法的可行性和准确性，并从尺度参数、粗糙度和入射光角方向三个方面分析了尺度效应和误差。结果表明，光纤材料的尺寸、粗糙度和入射波长均处于亚波长尺度区间，对模型精度要求较高，因此给出了合适的反演范围区间。最后，利用天然丝纤维对该方法进行了实验验证。这项工作构建了一套完整的理论模型和实验方法，可以精确地获得实际纤维材料的光学常数，为获得纤维材料的光学常数提供了新的方向，也为研究纤维材料的辐射调制机理提供了数值依据。

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引用次数: 0

Effects of oceanic turbulence on a multi-cosine-Lorentz correlated beam 海洋湍流对多余弦-洛伦兹相关光束的影响

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-12-05 DOI: 10.1016/j.jqsrt.2024.109313

Peiying Zhu, Dajun Liu, Yan Yin, Haiyang Zhong, Yaochuan Wang, Guiqiu Wang

The model of a special beam array called multi-cosine-Lorentz correlated (MCLC) beam is introduced, and the coherence function of a MCLC source is related to the multi-cosine function and Lorentz function. The expressions of a MCLC beam in anisotropic oceanic turbulence are derived. Based on the obtained equations, the intensity shapes of a MCLC beam with small δ will become a beam array composed of Lorentz beamlets quickly. The beamlets of a MCLC beam in anisotropic oceanic turbulence can overlap and the shape of a MCLC beam can become a spot pattern, and the speed of overlap phenomenon can be accelerated on the stronger oceanic turbulence. The array pattern of a MCLC beam can be modulated by adjusting source parameters and oceanic turbulence. The results show a new method to provide a beam array composed of Lorentz beamlets.

介绍了一种称为多余弦-洛伦兹相关（MCLC）光束的特殊光束阵列模型，并将 MCLC 光源的相干函数与多余弦函数和洛伦兹函数联系起来。推导了各向异性海洋湍流中 MCLC 光束的表达式。根据所得到的方程，δ较小的 MCLC 光束的强度形状将很快变成由洛伦兹小光束组成的光束阵列。在各向异性的海洋湍流中，MCLC 光束的小波束会发生重叠，MCLC 光束的形状会变成光斑图案，而且在较强的海洋湍流中，重叠现象的速度会加快。可以通过调整光源参数和海洋湍流来调节 MCLC 光束的阵列模式。结果表明，这是一种提供由洛伦兹小波束组成的波束阵列的新方法。

引用次数: 0

Corrigendum to “Combined stochastic and transfer model for atmospheric radiation” [Journal of Quantitative Spectroscopy and Radiative Transfer 73 (2002) 249–259] “大气辐射的联合随机和转移模型”的勘误表[定量光谱学和辐射转移杂志73 (2002)249-259]

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-11-30 DOI: 10.1016/j.jqsrt.2024.109293

S.B. Beale

引用次数: 0

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-11-28 DOI: 10.1016/j.jqsrt.2024.109291

Knut Stamnes

引用次数: 0

Electrostatic boundary problems and T-matrix for the dielectric half-spheroid 介电半球体的静电边界问题与t矩阵

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-11-28 DOI: 10.1016/j.jqsrt.2024.109289

Matt Majic , Johan C.-E. Stén

We solve the electrostatic boundary problems of a dielectric or conducting hemispheroid (half-spheroid) under arbitrary excitation. The solutions are obtained by expanding the potentials as series of spheroidal harmonics, and integrating over the boundary to obtain matrix equations which can be used to solve for the coefficients. The solutions are used to derive the capacity, polarizability and spatial fields. We simplify the results to that for a hemisphere, which for specific excitation fields agrees with the literature. We make a link to the T-matrix method, and present analytic expressions for the T-matrix and auxiliary Q and P matrices in the electrostatic limit. We show that the standard T-matrix approach of the extended boundary condition method (EBCM) cannot be used for this geometry, and that the P and Q-matrices do not match the EBCM form.

我们解决了在任意激励下介电或导电半球（半球体）的静电边界问题。通过将势展开为一系列球面谐波，并在边界上积分得到可用于求解系数的矩阵方程，从而得到解。利用这些解推导出了容量、极化率和空间场。我们将结果简化为一个半球的结果，对于特定的激励场，这与文献一致。结合t矩阵法，给出了静电极限下t矩阵和辅助Q、P矩阵的解析表达式。我们证明了扩展边界条件方法（EBCM）的标准t矩阵方法不能用于该几何结构，并且P和q矩阵不匹配EBCM形式。

引用次数: 0

Research on underwater polarization distribution reconstruction method for partial occlusion environment 局部遮挡环境下水下偏振分布重建方法研究

IF 2.3 3区物理与天体物理 Q2 OPTICS

Journal of Quantitative Spectroscopy & Radiative Transfer

Pub Date : 2024-11-28 DOI: 10.1016/j.jqsrt.2024.109288

Ying Ma , Fang Kong , Yinjing Guo , Yaohuang Ruan , Chunxiao Du , Xiaohan Guo , Di Zhang

Underwater polarization imaging technology has important application prospects in marine scientific research, seabed resource exploration, seabed topography drawing, underwater archaeology and other fields. However, underwater polarization images are subject to degradation in image quality during the acquisition process due to occlusion by water grass, fish, and the absorption of water particles in the ocean. In order to enhance the quality of polarization images and restore distorted information, In this paper, an underwater rotating polarization imaging detection system is designed, which can capture sky polarized light about 10 m in the ocean. At the same time, an image reconstruction algorithm based on intra-frame prediction is proposed. The algorithm utilizes the temporal and spatial correlations of the angle of polarization image sequence to reconstruct distorted the angle of polarization images by predicting the current frame. Specifically, the proposed algorithm uses the surrounding information to predict the angle of polarization image of the occlusion area, and optimizes it through SATD (Sum of Absolute Transformed Differences) to obtain a better prediction residual image. Finally, the prediction residual image is combined with the prediction results to obtain the final reconstructed the angle of polarization image to achieve the purpose of navigation. Simulation and experimental results show that the proposed algorithm can adapt to partially occluded visual field environment, remove random occlusion and restore image detail information. Compared with the image before repair, the image information after repair is improved by about 65 %.

水下偏振成像技术在海洋科学研究、海底资源勘探、海底地形绘制、水下考古等领域具有重要的应用前景。然而，由于水草、鱼类的遮挡以及海洋中水粒子的吸收，水下偏振图像在采集过程中会导致图像质量下降。为了提高偏振图像的质量，恢复畸变信息，本文设计了一种水下旋转偏振成像检测系统，该系统可以捕获海洋10 m左右的天空偏振光。同时，提出了一种基于帧内预测的图像重建算法。该算法利用偏振角图像序列的时空相关性，通过预测当前帧重构畸变的偏振角图像。具体而言，该算法利用周围信息预测遮挡区域的偏振角图像，并通过SATD （Sum of Absolute Transformed Differences）对其进行优化，得到更好的预测残差图像。最后，将预测残差图像与预测结果相结合，得到最终重构的偏振角图像，达到导航目的。仿真和实验结果表明，该算法能够适应部分遮挡的视野环境，去除随机遮挡，恢复图像细节信息。与修复前的图像相比，修复后的图像信息提高了约65%。

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Journal of Quantitative Spectroscopy & Radiative Transfer

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