Customized depolarization spatial patterns with dynamic retardance functions
نویسندگان
چکیده
Abstract In this work we demonstrate customized depolarization spatial patterns by imaging a dynamical time-dependent pixelated retarder. A proof-of-concept of the proposed method is presented, where liquid–crystal light modulator used as retarder that emulates controlled spatially variant depolarizing sample addressing phase pattern. We apply an Mueller polarimetric system based on polarization camera to verify effective effect. Experimental validation provided temporal integration detection system. The depolarizance results are fully described within simple graphical approach which agrees with standard matrix decomposition methods. potential discussed means three practical cases, include non-reported patterns, including exotic structures spirally shaped
منابع مشابه
Coding Multiway Branches Using Customized Hash functions
In most modem languages, there is a construct that allows the programmer to directly represent a multiway branch based on the value of an expression. In Pascal, it is the case statement; in C:, it is the switch and in Fortran-90 the SELECT. However, it is quite common that the efficiency of these constructs is far worse than one might reasonably expeat. This paper discusses the construction and...
متن کاملSpatial Patterns of Poverty in Iran
Poverty can have spatial dimensions. While general figures might show the spatial pattern of poverty, there is a need for more detailed examination of this pattern. Relying on simple figures of spatial patterns and ranking regions based on them might be misleading. This paper tries to apply spatial analysis methodsm, namely spatial autoregressive models to find out the impacts of space on the h...
متن کاملDynamic visualisation of spatial and spatio-temporal probability distribution functions
In this paper we will present and demonstrate aguila, a tool for interactive dynamic visual analysis of gridded data that come as spatial or spatio-temporal probability distribution functions. Probability distribution functions are analysed in their cumulative form, and we can choose to visualize exceedance probabilities given a threshold value, or its inverse, the quantile values. Threshold va...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2021
ISSN: ['2045-2322']
DOI: https://doi.org/10.1038/s41598-021-88515-x