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Experimental investigation on the fracture process and infrared radiation characteristics of structure rockburst under gradient loading 梯度加载下结构岩爆断裂过程及红外辐射特征的实验研究
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-26 DOI: 10.1016/j.infrared.2024.105565
To investigate the macroscopic failure characteristics and infrared thermal imaging evolution of structure rockburst under gradient stress, gradient stress loading simulation tests were conducted using a true triaxial rockburst testing apparatus with combined gradient and hydraulic-pneumatic loading. Tests included three stress gradient coefficients and four structural surface angles. Macroscopic failure observations and infrared thermal imaging of the unloading surfaces were analyzed to understand the characteristics of structure rockburst and the influence of structural surfaces. Two infrared thermal imaging evolution parameters, the relative temperature mean (HRT) and the coefficient of variation (COV), were introduced to explore precursor indicators of structure rockburst. The results indicated that: (1) The dip angle of the structural surface (θ) and the stress gradient coefficient (k) both affect the peak stress during rockburst. (2) The structural surface angle significantly influences rockburst characteristics: θ = 30° or 60° results in shear slip-type rockbursts along or exposed on the structural surface, while θ = 0° or 90° manifests as buckling and tensile cracking-type rockbursts. (3) Infrared thermal imaging reveals that from initial loading to rockburst, temperature distribution transitions from uniform to normal, and then to non-normal. Accumulation of high-temperature points near rockburst indicates failure locations, with increased k intensifying non-normal distribution. (4) Peak values of HRT and COV positively correlate with k. (5) Fluctuations or sharp increases in HRT and COV values serve as precursors for predicting debris spalling and rockburst events.
为了研究梯度应力作用下结构岩爆的宏观破坏特征和红外热成像演变过程,我们使用真正的三轴岩爆试验设备进行了梯度应力加载模拟试验,并结合了梯度和液压气动加载。试验包括三个应力梯度系数和四个结构表面角度。为了了解结构岩爆的特征和结构表面的影响,对卸载表面的宏观破坏观测和红外热成像进行了分析。引入了两个红外热成像演变参数,即相对平均温度(HRT)和变异系数(COV),以探索结构岩爆的前兆指标。结果表明(1) 结构面倾角(θ)和应力梯度系数(k)都会影响岩爆时的峰值应力。(2) 结构面倾角对岩爆特征有显著影响:θ = 30° 或 60° 会导致沿结构面或暴露在结构面上的剪切滑移型岩爆,而 θ = 0° 或 90° 则表现为屈曲和拉伸开裂型岩爆。(3) 红外热成像显示,从初始加载到岩爆,温度分布从均匀到正常,再到非正常。岩爆附近高温点的累积表明了破坏位置,K 值的增加加剧了非正态分布。(4) HRT 和 COV 的峰值与 k 呈正相关。 (5) HRT 和 COV 值的波动或急剧增加是预测碎屑剥落和岩爆事件的先兆。
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引用次数: 0
Maritime infrared image enhancement based on morphological pseudotransmittance modulation and radiation source enhancement 基于形态伪透射率调制和辐射源增强的海事红外图像增强技术
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-24 DOI: 10.1016/j.infrared.2024.105564
To address the problems of low contrast and fuzzy details in maritime infrared images, this paper constructs a pseudotransmittance model based on the principles of infrared radiation imaging, and proposes an enhancement algorithm of morphology single-scale pseudotransmittance modulation and radiation source enhancement. First, the original image is adaptively segmented to generate the radiation source region and the radiation source suppressed background. Then, the pseudotransmittance is calculated by estimating the radiation of the background through morphological methods. Finally, the pseudotransmittance is used to modulate the original image for background enhancement and the radiation source detail is enhanced as well. On this basis, an algorithm for maritime infrared image enhancement with morphological multiscale pseudotransmittance modulation and radiation source hierarchical fusion is developed to overcome the problem of edge overenhancement and neighbourhood enhancement. Experiments show that our methods perform well in detail and contrast enhancement and outperform other methods in both qualitative and quantitative evaluations.
针对海事红外图像对比度低、细节模糊等问题,本文根据红外辐射成像原理构建了伪透射率模型,并提出了形态学单尺度伪透射率调制与辐射源增强算法。首先,对原始图像进行自适应分割,生成辐射源区域和辐射源抑制背景。然后,通过形态学方法估计背景的辐射,计算伪透射率。最后,利用伪透射率对原始图像进行调制,以增强背景,同时增强辐射源细节。在此基础上,我们开发了一种利用形态学多尺度伪透射率调制和辐射源分层融合的海事红外图像增强算法,以克服边缘过度增强和邻域增强的问题。实验表明,我们的方法在细节和对比度增强方面表现良好,在定性和定量评估方面均优于其他方法。
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引用次数: 0
High coupling efficiency with large axial direction coupling adjustment range in water-jet guided laser 水刀引导激光器的耦合效率高,轴向耦合调节范围大
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-21 DOI: 10.1016/j.infrared.2024.105562
In the traditional water-jet guided laser (WJGL) processing system, convex lens is used to focus Gaussian laser beam, where the waist and divergence angle are constrained. The focal depth is small, and there are problems such as divergence angle and aberration, which results in the difficult coupling adjustment because the adjustment range of laser coupling to water-jet fiber is limited to the Rayleigh range. In this study, non-diffraction laser (NDL) is generated by an axicon, which has the characteristics of small central spot and large non-diffraction range (NDR). The axial random coupling is realized in the NDR, and the problem of axial coupling between the focused laser and the water-jet generated by nozzle micro-hole is solved. Besides, this paper presents a novel technique to generate NDL by the combination of concave axicon (CCA) and convex axicon (CVA), which solves the small cone angle of the single CVA and the non-modulation defect of the corresponding optical and mechanical structure, and extends the starting point of the NDR to improve the coupling utilization rate of the NDR and the flexibility of the system. The focusing and coupling transmission characteristics of convex lens and axicons mode in WJGL are compared and analyzed. The generated NDL in the NDR at the axial reference coordinate point position of 50 mm and 70 mm is successfully coupled into the water-jet fiber. After the coupling transmission of 20 mm, the coupling efficiency, the morphology of the transmitted spot and the peak power density were basically the same, and the coupling efficiency of the central spot was about 81 %. However, the output spot peak power density and coupling efficiency decrease sharply when the axial coupling deviation exceeds 5 mm adopting convex lens. In contrast, the NDL can achieve a random coupling with high axial coupling tolerance in NDR. The research provides a solution for efficient adjustment and transmission of laser coupling into water-jet in highly stable WJGL.
在传统的喷水导引激光(WJGL)加工系统中,凸透镜用于聚焦高斯激光束,束腰和发散角受到限制。由于激光与喷水光纤耦合的调节范围仅限于瑞利范围,因此焦深较小,存在发散角和像差等问题,导致耦合调节困难。在本研究中,非衍射激光(NDL)由具有小中心光斑和大非衍射范围(NDR)特点的axicon产生。在 NDR 中实现了轴向随机耦合,解决了聚焦激光与喷嘴微孔产生的水射流之间的轴向耦合问题。此外,本文还提出了一种新颖的技术,即通过凹轴(CCA)和凸轴(CVA)的组合来产生 NDL,解决了单一 CVA 的锥角小以及相应光学和机械结构的非调制缺陷,并扩展了 NDR 的起点,提高了 NDR 的耦合利用率和系统的灵活性。对比分析了 WJGL 中凸透镜模式和axicons 模式的聚焦和耦合传输特性。在 50 毫米和 70 毫米轴向参考坐标点位置的 NDR 中生成的 NDL 成功耦合到喷水光纤中。耦合传输 20 mm 后,耦合效率、传输光斑的形态和峰值功率密度基本相同,中心光斑的耦合效率约为 81%。然而,当采用凸透镜的轴向耦合偏差超过 5 毫米时,输出光斑峰值功率密度和耦合效率急剧下降。相比之下,NDL 可以在 NDR 中实现轴向耦合公差较高的随机耦合。该研究为高稳定 WJGL 中激光耦合到水射流的有效调整和传输提供了解决方案。
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引用次数: 0
Faster R-CNN-CA and thermophysical properties of materials: An ancient marquetry inspection based on infrared and terahertz techniques 更快的 R-CNN-CA 和材料的热物理性质:基于红外和太赫兹技术的古代镶嵌检测
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-21 DOI: 10.1016/j.infrared.2024.105563
The demand for non-invasive inspection (NII) is ever-increasing in the field of cultural heritage conservation. NII is a two-step procedure, first of data acquisition and second of defect detection. Stand-alone imaging techniques such as infrared thermography (IRT) are often insufficient for performing a complete remote analysis and diagnosis of historic structures and art pieces that are of very high cultural value. On this point, an emerging optical inspection method, terahertz time-domain spectroscopy (THz-TDS), is herein employed to provide more details of deeper defects. The imaging results from THz-TDS and IRT are compared and analyzed by employing advanced image processing methods. Next, to achieve automatic inspection of the test sample, which is an ancient marquetry, a Faster R-CNN with coordinate attention (Faster R-CNN-CA) is proposed and fitted with data from two different sources. Worth noting is that, in order to populate sufficient data for training, samples are simulated using finite element analysis and finite difference time domain method. The experiments demonstrate that the mean average precision of the Faster R-CNN-CA model improves by 6.09% over the traditional Faster R-CNN model.
文化遗产保护领域对非侵入式检测(NII)的需求与日俱增。非侵入式检测分为两个步骤,首先是数据采集,其次是缺陷检测。独立的成像技术,如红外热成像技术(IRT),往往不足以对具有极高文化价值的历史建筑和艺术品进行全面的远程分析和诊断。在这一点上,本文采用了一种新兴的光学检测方法--太赫兹时域光谱(THz-TDS),以提供更多深层缺陷的细节。通过采用先进的图像处理方法,对 THz-TDS 和 IRT 的成像结果进行比较和分析。接下来,为了实现对古代镶嵌画这一测试样本的自动检测,提出了一种带有坐标注意的更快 R-CNN (Faster R-CNN-CA),并利用两种不同来源的数据进行了拟合。值得注意的是,为了获得足够的训练数据,使用有限元分析和有限差分时域法对样本进行了模拟。实验证明,Faster R-CNN-CA 模型的平均精度比传统的 Faster R-CNN 模型提高了 6.09%。
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引用次数: 0
Comparative analysis of characteristic wavelength extraction methods for nondestructive detection of microplastics in wheat using FT-NIR spectroscopy 利用傅立叶变换近红外光谱无损检测小麦中微塑料的特征波长提取方法比较分析
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-16 DOI: 10.1016/j.infrared.2024.105555

Microplastic detection has been acknowledged as challenging so far. Despite advancements in rapid detection methods for analyzing environmental microplastics, limited research has been conducted on detecting microplastics in food substrates. The objective of this study was to investigate the feasibility of utilizing Fourier near-infrared (FT-NIR) spectroscopy optimized characteristic model for quantitative detection of polystyrene (PS) microplastics in flour. A Fourier transform infrared spectrometer was employed to gather spectral information on flour with varying concentrations of PS. Four variable selection methods, namely iterative variable subset optimization (IVSO), bootstrapping soft shrinkage (BOSS), Interval variable iterative space shrinkage approach (IVISSA), and variable-dimensional particle swarm optimization movement window (VDPSO-CMW), were introduced to select features from the preprocessed near-infrared spectrum. Detection models based on partial least squares (PLS) were constructed with the aim of achieving quantitative detection of PS in flour, and comparisons were conducted to evaluate the detection performance of the four models. The VDPSO-CMW-PLS model demonstrates the highest level of generalization performance, according to the research findings. The coefficient of determination (Rp2) is 0.9810, the root mean square error of prediction (RMSEP) is 0.0462%, and the relative percent deviation (RPD) is 7.3890. The research findings indicate that the constructed PLS detection model, utilizing FT-NIR spectral optimization characteristics, can rapidly and accurately detect PS in flour. This study presents a novel technical approach for the prompt quantitative identification of microplastics in food.

迄今为止,微塑料检测一直被认为是一项挑战。尽管用于分析环境微塑料的快速检测方法取得了进步,但在检测食品基质中的微塑料方面开展的研究还很有限。本研究旨在探讨利用傅立叶近红外光谱(FT-NIR)优化特征模型定量检测面粉中聚苯乙烯(PS)微塑料的可行性。采用傅立叶变换红外光谱仪收集不同浓度 PS 的面粉的光谱信息。引入了四种变量选择方法,即迭代变量子集优化法(IVSO)、自引导软收缩法(BOSS)、区间变量迭代空间收缩法(IVISSA)和变维粒子群优化运动窗口法(VDPSO-CMW),从预处理的近红外光谱中选择特征。以偏最小二乘法(PLS)为基础构建了检测模型,旨在实现面粉中 PS 的定量检测,并对四种模型的检测性能进行了比较评估。研究结果表明,VDPSO-CMW-PLS 模型的泛化性能最高。其判定系数(Rp2)为 0.9810,预测均方根误差(RMSEP)为 0.0462%,相对百分偏差(RPD)为 7.3890。研究结果表明,利用傅立叶变换-近红外光谱优化特性构建的 PLS 检测模型可以快速、准确地检测出面粉中的 PS。本研究为食品中微塑料的快速定量鉴定提供了一种新颖的技术方法。
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引用次数: 0
AFIRE: Adaptive FusionNet for illumination-robust feature extraction in heterogeneous imaging environments AFIRE:用于在异构成像环境中提取适应光照的特征的自适应 FusionNet
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-16 DOI: 10.1016/j.infrared.2024.105557

The fusion of infrared and visible images aims to synthesize a fused image that incorporates richer information by leveraging the distinct characteristics of each modality. However, the disparate quality of input images in terms of infrared and visible light significantly impacts fusion performance. To address this issue, we propose a novel deep adaptive fusion method called Adaptive FusionNet for Illumination-Robust Feature Extraction (AFIRE). This method involves the interactive processing of two input features and dynamically adjusts the fusion weights based on varying illumination conditions. Specifically, we introduce a novel interactive extraction structure during the feature extraction stage for both infrared and visible light, enabling the capture of more complementary information. Additionally, we design a Deep Adaptive Fusion module to assess the quality of input features and perform weighted fusion through a channel attention mechanism. Finally, a new loss function is formulated by incorporating the entropy and median of input images to guide the training of the fusion network. Extensive experiments demonstrate that AFIRE outperforms state-of-the-art methods in preserving pixel intensity distribution and texture details. Source code is available at: https://www.github.com/ISCLab-Bistu/AFIRE.

红外图像和可见光图像的融合旨在通过利用每种模式的不同特征,合成包含更丰富信息的融合图像。然而,输入图像在红外光和可见光方面的不同质量严重影响了融合性能。为了解决这个问题,我们提出了一种新颖的深度自适应融合方法,称为 "光照稳定特征提取自适应融合网络(AFIRE)"。该方法涉及两个输入特征的交互式处理,并根据不同的光照条件动态调整融合权重。具体来说,我们在红外光和可见光的特征提取阶段引入了一种新颖的交互式提取结构,从而能够捕捉到更多互补信息。此外,我们还设计了一个深度自适应融合模块,用于评估输入特征的质量,并通过通道关注机制执行加权融合。最后,我们结合输入图像的熵和中值制定了一个新的损失函数,用于指导融合网络的训练。大量实验证明,AFIRE 在保留像素强度分布和纹理细节方面优于最先进的方法。源代码见:https://www.github.com/ISCLab-Bistu/AFIRE。
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引用次数: 0
An approach for built-up area extraction using different indices and deep neural network (DNN) model 利用不同指数和深度神经网络(DNN)模型提取建筑密集区的方法
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-15 DOI: 10.1016/j.infrared.2024.105558

Mapping urbanization and built-up areas from remotely sensed data poses a formidable challenge, particularly when the spectral reflectance of built-up regions intersects with other land types. To address this, numerous spectral indices have been developed. This paper utilizes multiple indices: Normalized Difference Built-up Index (NDBI), Built-up Area Extraction Index (BAEI), Normalized Built-up Area Index (NBAI), New Built-up Index (NBI), Modified Built-up Index (MBI), Band Ratio for Built-up Area (BRBA), and Normalized Difference Vegetation Index (NDVI) to delineate built-up regions. An intersection approach between BAEI, NBAI, and NDVI refines the methodology, resulting in a final built-up map with 92.5 % accuracy and a 0.848 Kappa coefficient. Subsequently, a Deep Neural Network (DNN) model trained on this map achieves over 95 % accuracy in predicting built-up areas from Landsat 5 imagery, and the resultant built-up map achieved an overall accuracy of 92 % and a Kappa coefficient of 0.85. The proposed methodology demonstrates efficiency for time-series analysis and addresses misclassification in built-up areas. Moreover, the optimization of the DNN model proves effective when meticulous training and validation processes incorporate more precise sample datasets.

利用遥感数据绘制城市化和建筑密集区地图是一项艰巨的挑战,尤其是当建筑密集区的光谱反射率与其他土地类型相交时。为此,人们开发了许多光谱指数。本文采用了多种指数:归一化差异建成区指数 (NDBI)、建成区提取指数 (BAEI)、归一化建成区指数 (NBAI)、新建成区指数 (NBI)、修正建成区指数 (MBI)、建成区波段比 (BRBA) 和归一化差异植被指数 (NDVI) 来划分建成区。BAEI、NBAI 和 NDVI 之间的交叉方法完善了这一方法,最终得到的建成区地图准确率为 92.5%,Kappa 系数为 0.848。随后,在该地图上训练的深度神经网络(DNN)模型从大地遥感卫星 5 号图像预测建成区的准确率超过 95%,最终建成区地图的总体准确率达到 92%,Kappa 系数为 0.85。所提出的方法展示了时间序列分析的效率,并解决了建筑密集区的误分类问题。此外,当细致的训练和验证过程纳入更精确的样本数据集时,DNN 模型的优化证明是有效的。
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引用次数: 0
High transmission efficiency long-wave infrared multispectral modulation array based on nanogap engineering 基于纳米间隙工程的高传输效率长波红外多光谱调制阵列
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-15 DOI: 10.1016/j.infrared.2024.105559

The long-wave infrared spectrum’s unique advantages in molecular fingerprinting and atmospheric transmission have led to its widespread application in detection, identification, medical diagnosis, and environmental monitoring. Consequently, there has been a strong focus on developing multispectral structure arrays with high transmission efficiency. In this study, we introduce a high-transmission-efficiency nanocoaxes field enhancement structures array based on complex nanogap engineering, exhibiting a transmission of 21.59 % within an open area of 3 % and accompanied by a 90-fold enhancement of the nanogap field. With the modulation of nanogaps, the absolute transmission can exceed 60 %. The experimental data and finite element simulation results of the spectrally tunable array confirm that the origin of resonance is attributed to the enhanced localized electromagnetic modes supported by nanogaps. Furthermore, we demonstrated the proposed nanocoaxes field-enhancement structures in practical applications such as molecular resonance absorption enhancement and material composition analysis. Our work not only provides a method for on-chip multispectral tuning in the long-wave infrared range but also contributes to further advancing the development of long-wave infrared nanophotonic structures.

长波红外光谱在分子指纹识别和大气传输方面具有独特的优势,因此被广泛应用于检测、识别、医疗诊断和环境监测等领域。因此,开发具有高传输效率的多光谱结构阵列一直备受关注。在这项研究中,我们介绍了一种基于复杂纳米间隙工程的高传输效率纳米轴场增强结构阵列,在 3% 的开放区域内显示出 21.59% 的传输率,同时纳米间隙场增强了 90 倍。通过对纳米间隙的调制,绝对传输率可超过 60%。光谱可调谐阵列的实验数据和有限元模拟结果证实,共振的起因是纳米间隙支持的增强局部电磁模式。此外,我们还在分子共振吸收增强和材料成分分析等实际应用中展示了所提出的纳米轴场增强结构。我们的工作不仅为长波红外范围的片上多光谱调谐提供了一种方法,而且有助于进一步推动长波红外纳米光子结构的发展。
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引用次数: 0
Simultaneous measurement of temperature and C2H4 concentration in hydrocarbon flames using interference-immune differential absorption spectroscopy at 3.3 μm 利用 3.3 μm 波长的干涉免疫微分吸收光谱法同时测量碳氢化合物火焰中的温度和 C2H4 浓度
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-15 DOI: 10.1016/j.infrared.2024.105556

In diagnostic applications based on tunable diode laser absorption spectroscopy, the measurement of target substances can be influenced by factors such as background thermal radiation in the combustion environment, extinction caused by solid or liquid particles, and other interfering absorptions. In this work, we developed a differential absorption diagnostic technique based on wavelength pairs, utilizing an interband cascade laser near 3.3 μm to simultaneously measure temperature and C2H4 concentration in hydrocarbon flames. Based on a detailed study of the C2H4 spectrum in this region and considering the optimal standard for spectral lines, two wavelength pairs were selected. The temperature is determined by the ratio of the absorption cross-sections of two wavelength pairs, and the C2H4 concentration is inferred based on the wavelength pair with higher differential absorption. In the initial stage, the system’s accuracy was verified in high-temperature static conditions (T = 300–800 K, P = 1 atm), and continuous time series measurements demonstrated the system’s stability. The limit of detection achieved by Allan-Werle variance analysis is 2.5 ppm at the optimal average time of 100 s. Subsequently, measurements were taken in a hydrocarbon flame. The obtained results indicate an average deviation of 1.021 % between the measured temperature in the flame and the reference value, with a standard deviation of 1.381 % for concentration measurement. All the measurements show that the system can be potentially applied to combustion diagnosis.

在基于可调谐二极管激光吸收光谱的诊断应用中,目标物质的测量可能会受到燃烧环境中背景热辐射、固体或液体颗粒引起的消光以及其他干扰吸收等因素的影响。在这项工作中,我们开发了一种基于波长对的差分吸收诊断技术,利用 3.3 μm 附近的带间级联激光同时测量碳氢化合物火焰中的温度和 C2H4 浓度。根据对该区域 C2H4 光谱的详细研究,并考虑到光谱线的最佳标准,选择了两个波长对。温度由两个波长对的吸收截面之比确定,C2H4 浓度则根据吸收差值较大的波长对推断。在初始阶段,该系统的准确性在高温静态条件下(T = 300-800 K,P = 1 atm)得到了验证,连续的时间序列测量证明了该系统的稳定性。通过 Allan-Werle 方差分析,在最佳平均时间 100 秒时的检测限为 2.5 ppm。测量结果表明,火焰中的测量温度与参考值之间的平均偏差为 1.021%,浓度测量的标准偏差为 1.381%。所有测量结果表明,该系统可用于燃烧诊断。
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引用次数: 0
Investigation of signal coupling circuit for NbN-based SIS mixer operated at 650 GHz 基于氮化铌的 SIS 混频器在 650 千兆赫频率下工作的信号耦合电路研究
IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Pub Date : 2024-09-15 DOI: 10.1016/j.infrared.2024.105560

Superconductor-insulator-superconductor (SIS) mixers are the most sensitive coherent detectors in the terahertz region and are extensively utilized in astronomical research and atmospheric observation. In order to improve the detection accuracy of frequency, reduce the loss of signal in the transmission path, and reduce noise temperature, it is important to design a signal coupling circuit with high coupling efficiency. In this paper, with the help of a high-frequency structure simulator, a signal coupling circuit was designed based on a waveguide NbN-based SIS mixer at 650 GHz. The return loss and embedding impedance of this SIS mixer were investigated from 600 to 720 GHz. The effects of the SIS mixer chip’s bow-tie probe angle, substrate thickness, and chip slot height were calculated and analyzed. The results show that the return loss is lower than -16 dB in the 600 to 720 GHz band, and the embedding impedance is around 60 Ω, which can provide a good reference for the development of waveguide SIS mixers.

超导体-绝缘体-超导体(SIS)混频器是太赫兹区域最灵敏的相干探测器,被广泛应用于天文研究和大气观测。为了提高频率的探测精度,减少信号在传输路径上的损耗,降低噪声温度,设计一种具有高耦合效率的信号耦合电路非常重要。本文借助高频结构模拟器,设计了一种基于波导氮化铌基 SIS 混频器的信号耦合电路,频率为 650 GHz。研究了该 SIS 混频器在 600 至 720 GHz 频率范围内的回波损耗和嵌入阻抗。计算并分析了 SIS 混频器芯片的弓形探针角度、衬底厚度和芯片槽高度的影响。结果表明,在 600 至 720 GHz 频段内,回波损耗低于 -16 dB,嵌入阻抗约为 60 Ω,可为波导 SIS 混频器的开发提供良好的参考。
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引用次数: 0
期刊
Infrared Physics & Technology
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