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首页> 外文会议>Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks IV >Carbon NanoTube Noise Characterization
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Carbon NanoTube Noise Characterization

机译：碳纳米管噪声表征

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Without relying on the cumbersome liquid Nitrogen coolant, necessary for the conventional mid IR (3～5 μm wavelength) cameras, we designed a new mid wave IR camera, according to biomimetic human vision 2 color receptor system. We suspended over the non-cryogenic long wave IR (HgCdTe) CCD backplane with Single Wall Carbon NanoTubes (SWNT) pixels, which have the band gap energy ε_(BG) ～1/d tuned at the few nanometer diameter d for the mid wave. To ascertain noise contribution, in this paper, we provided a simple derivation of frequency-dependent Einstein transport coefficient D(k) = PSD(k), based on Kubo-Green (KG) formula, which is convenient to accommodate experimental data. We conjectured a concave shape of convergence 1/k~α at α = -2 power law at optical frequency against the overly simplest 1-D noise model about 1/2 K_BT, and the ubiquitous power law 1/k~α where α = 1 gave a convex shape of divergence. Our formula is based on the Cauchy distribution [1+(k d)~2]~(-1) derived from the Fourier Transform of the correlation of charge-carrier wave function been scattered against lattice phonons spreading over the tubular surface of the diameter d, similar to the Lorentzian line shape in molecular spectral exp(-|x|/d). According to the band gap formula of SWNT, a narrower tube of SWNT worked similarly as Field Emission Transistor (FET) can be tuned at higher optical frequencies revealing finer details of lattice spacing, a and b. Experimental determination of our proposed multiple scales responses formula remained to be confirmed.
机译：在不依赖传统中红外（3〜5μm波长）相机所需的笨重的液态氮冷却剂的情况下，我们根据仿生人类视觉2色受体系统设计了新型中波红外相机。我们将悬浮在具有单壁碳纳米管（SWNT）像素的非低温长波IR（HgCdTe）CCD背板上，该像素的带隙能量ε_（BG）〜1 / d在中波的几纳米直径d处进行了调整。为了确定噪声贡献，在本文中，我们基于Kubo-Green（KG）公式提供了一个简单的频率相关的爱因斯坦输运系数D（k）= PSD（k）的推导，方便了实验数据的存储。我们相对于过于简单的关于1/2 K_BT的最简单的一维噪声模型和普遍存在的幂定律1 / k〜α，在光频率下，在α= -2幂定律的情况下，我们推测了凹形的会聚1 / k〜α的光频率。图1给出了发散的凸形状。我们的公式基于柯西分布[1+（kd）〜2]〜（-1），该柯西分布是由傅立叶变换得出的，电荷-载波函数的相关性相对于散布在直径d的管状表面上的晶格声子散射，类似于分子光谱exp（-| x | / d）中的洛伦兹线形状。根据SWNT的带隙公式，可以在更高的光频率下对与NTNT场效应晶体管（FET）类似的较窄管进行调谐，从而揭示出晶格间距a和b的细节。我们提出的多尺度响应公式的实验确定仍有待证实。

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