Hegseth John J, Oprisan Ana, Garrabos Yves, Beysens Daniel
Department of Physics, University of New Orleans, New Orleans, Louisiana 70148, USA.
Department of Physics and Astronomy, College of Charleston, Charleston, South Carolina 29424, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Aug;90(2):022127. doi: 10.1103/PhysRevE.90.022127. Epub 2014 Aug 25.
We use optical microscopy techniques to directly visualize the structures that emerge in binary mixtures and pure fluids near their respective critical points. We attempt to understand these structures by studying the image formation using both a phase contrast and a dark field filter to our microscope. We found that images of critical fluctuations for both liquid-liquid and liquid-gas critical systems have gray level intensity histograms with Gaussian shape. For all fluids investigated, the temperature-dependent standard deviation of the Gaussian histogram follows a power law with the same exponent. Since the image intensity fluctuations are determined by order parameter fluctuations, this direct imaging method allowed us to estimate the critical exponent of compressibility with very good accuracy.
我们使用光学显微镜技术直接观察二元混合物和纯流体在其各自临界点附近出现的结构。我们试图通过使用显微镜的相衬和暗场滤光片来研究图像形成,从而理解这些结构。我们发现,液 - 液和液 - 气临界系统的临界涨落图像具有高斯形状的灰度强度直方图。对于所有研究的流体,高斯直方图的温度相关标准偏差遵循具有相同指数的幂律。由于图像强度涨落由序参量涨落决定,这种直接成像方法使我们能够非常准确地估计压缩性的临界指数。