Fluorine nuclear magnetic resonance: calibration and system optimization

Fluorine-19 magnetic resonance imaging (MRI) offers advantages for imaging organs and tissues. 19F is readily synthesized into a variety of compounds and offers the potential for in-vivo imaging as a complement to hydrogen MRI. The purpose of this work was to determine the minimum detection sensitivity for a fluorinated compound (CF3-CO2H) as a function of pulse sequence, interpulse times (TE, TI, and TR), gradient values and the number of data averages. CF3-CO2H was chosen because it has a single spectral line and exhibits a minimal frequency shift under the experimental conditions used for this experiment. A resistance MR scanner operating at a resonance frequency of 6.255 MHz was used for imaging both fluorine (.156 T) and hydrogen (.147 T). Critical factors determining the minimum detection sensitivity included system signal-to-noise ratio (S/N), acquisition time, relaxation times (T1, T2), and sample volume. Samples were measured over the range of 0.05 M to 20.0 M and showed a linear relationship between signal strength and concentration. The minimum detection sensitivity was 0.1 M. Use of higher static fields and optimized coils as well as improved system signal-to-noise ratios will improve detection sensitivity. We conclude that imaging of fluorine on low-field system is feasible, although it is necessary to optimize many parameters to maximize detection sensitivity.     

WIDE RANGE DETECTOR USING PARABOLIC CYLINDRICAL MIRROR FOR THz APPLICATIONS

A new, wide-band, high-speed and high-sensitivity THz detector has been developed. The prototype detector consists of a parabolic cylindrical mirror, a long wire antenna and a Schottky barrier diode. Direct detection measurements have shown a stable sensitivity of 150 ± 50 V/W for 1–2 THz without any adjustments. The long wire antenna was fixed at the focus of parabolic cylindrical mirror then it has been realized less operation steps, easy coupling to the external THz signals and a dramatic enhancement in the practicality of this system. The optically polished mirror and frosted surface one showed comparable sensitivities, thus easy polishing and less cost mirror fabrication can be applied for this system. The radiation pattern showed a maximum radiation angle of approximately 23° with its dominant main lobe, which was attributed to the wire antenna character and confirmed good agreements with classical antenna theory.     

高灵敏度的光纤光栅压强传感器

基于光纤布拉格光栅传感模型 ,提出了一种等强度梁与波纹管相结合的高灵敏度的光纤布拉格光栅压强传感器 ,推导了光纤布拉格光栅反射波中心波长相对偏移量与压强之间的解析关系式 ,从理论和实验上给出了压强灵敏度系数。该传感器的理论和实验压强灵敏度系数分别是 1.4 76× 10 -2 MPa-1、1.35× 10 -2 MPa-1,是裸光纤光栅的 74 5 5倍和 6 80 8倍 ,理论值与实验值吻合得很好。同时指出通过调节等强度梁和波纹管的参量 ,可以将该传感器的压强灵敏度系数做得很高 ,直至破坏了光纤布拉格光栅。     

一种实用化实时测温系统工作波长优化设计的进一步分析

基于Kirchhoff定律,依照测温系统的各主要技术参数与各主要技术指标(温度分辨力、测温灵敏度、相对测温灵敏度及测温准确度)之间的关系,对利用激光并采用钽酸锂热释电探测器作光电转换器件的实用化实时测温系统的工作波长进行了进一步的优化设计.实验表明,在测温范围400~1200 ℃内,系统的测温误差符合设计要求.     

合肥光源二分割三角型光位置检测器的研制

介绍了一种用于合肥光源的二分割三角型光位置检测器的研制,对其主要性能(如灵敏度和线性范围)进行了理论分析和实际测量,测量结果与理论分析相当吻合.文中还给出了光位置测量系统的组成     

无电极电光电场传感器灵敏度提高的研究

从提高灵敏度角度出发,理论上分析了无电极电光电场传感器电极长度与灵敏度和带宽的关系.通过比较不同结构的传输函数,验证平衡检测方式的可行性,最后选取使用平衡检测的三端口结构作为实验器件结构,从而为器件制作的可行性方案从理论上作了验证.     

一种具有声低通滤波特性的无源零差光纤水听器

报道了一种新颖的具有抗混叠功能的无源零差迈克耳孙型光纤水听器.它由一个普通的芯轴型光纤水听器和一个圆柱型亥姆霍兹共振器构成.在驻波罐中对其声压相位灵敏度频响进行了测量,结果表明该光纤水听器具有较好的声低通滤波特性,能有效地抑制声信号中的高频成分,从而实现抗混叠滤波.该光纤水听器的低频声压相位灵敏度主要由传感光纤长度和弹性增敏层的物理特性决定,约为-159 dB(0 dB=1 rad/μPa).在1150 Hz附近出现了一个共振峰,这主要由圆柱型亥姆霍兹共振器的声学特性决定.1150～2280 Hz频段内的灵敏度衰减率约为50 dB/倍频程,1500 Hz以后的灵敏度衰减量大于10 dB.这对于提高我国未来声纳系统的抗干扰能力具有十分重要的意义.     

双波长敏感的光致聚合物全息存储材料

介绍了一种以聚乙烯醇为粘结剂,丙烯酰胺和亚甲基双丙烯酰胺作为单体,赤藓红和亚甲基蓝作为光引发剂,三乙醇胺作为共引发剂的光致聚合物材料。材料能同时对红光和绿光敏感,用红光和绿光分别对材料曝光,测得的两种衍射效率分别不低于30％,灵敏度不低于25cm^2／J。该材料对红光的最大响应空间频率为2274 lp／mm,相应的衍射效率为27．73％,响应范围为1600∽2800lp／mm;对绿光的最大响应空间频率为2350 lp／mm．相应的衍射效率为25、72％,响应范围为1700∽3000 lp／mm。在材料的同一点上进行红光和绿光的波长复用全息存储,当用红光或绿光再现时单幅图像清晰,信噪比高,两幅图像之间无任何干扰,该材料适合双波长全息存储。     

Asymptotic results for weighted means of linear combinations of independent Poisson random variables

ABSTRACT

In this paper we prove the large deviation principle for a class of weighted means of linear combinations of independent Poisson distributed random variables, which converge weakly to a normal distribution. The interest in these linear combinations is motivated by the diffusion approximation in Lansky [On approximations of Stein's neuronal model, J. Theoret. Biol. 107 (1984), pp. 631–647] of the Stein's neuronal model (see Stein [A theoretical analysis of neuronal variability, Biophys. J. 5 (1965), pp. 173–194]). We also prove an analogue result for sequences of multivariate random variables based on the diffusion approximation in Tamborrino, Sacerdote, and Jacobsen [Weak convergence of marked point processes generated by crossings of multivariate jump processes. Applications to neural network modeling, Phys. D 288 (2014), pp. 45–52]. The weighted means studied in this paper generalize the logarithmic means. We also investigate moderate deviations.