首页> 外文期刊>Journal of geophysical research. Planets >Dielectric properties of the Martian south polar layered deposits: MARSIS data inversion using Bayesian inference and genetic algorithm
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Dielectric properties of the Martian south polar layered deposits: MARSIS data inversion using Bayesian inference and genetic algorithm

机译:火星南极层状沉积物的介电特性:使用贝叶斯推断和遗传算法的MARSIS数据反演

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Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) has offered abundant data, which have been used to estimate dielectric properties of the south polar layered deposits (SPLD) of Mars. This paper presents a new way to invert the data to estimate the dielectric properties of the SPLD. A total of 4364 measurements were analyzed. The received radar signals are controlled by the physical properties of the SPLD and its basal layer and in addition by a number of factors including the transmitted wave properties, the satellite height, and the atmosphere/ionosphere environments. The received signals may also be influenced by surface clutter. Most of these factors are variable. This complexity causes the inversion to be difficult. To carry out the inversion, it is therefore essential to define a reasonably simple model for the physics of the surface/subsurface layers where the radar signal is reflected. The top and bottom interfaces of the SPLD are observed by MARSIS as two reflection peaks of the radar signals. The intensity ratio between the two reflection peaks is observed to be a function of the time difference separating the two peaks. By modeling this dependency, the influences of the satellite position and the atmosphere/ionosphere environments are canceled. This is a major step toward carrying out the inversion. Nevertheless, the inverse problem remains ill-posed and highly nonlinear. Bayesian inference is employed to deal with the ill-posed aspect of the inversion, and genetic algorithm is introduced to deal with the nonlinearity. It is concluded that the most probable value of the relative dielectric constant of the SPLD lies in 3.0–5.0, conductivity 1.0–2.0 × 10?6 S/m, and the relative dielectric constant of the basal layer is 7.5–8.5 (The basal layer conductivity is assumed to be 1.0 × 10?7 S/m.) These results support a suggestion that the SPLD are water ice/dust mixtures with dust content varying from 0 to more than 75%.
机译:用于地下和电离层探测的火星高级雷达(MARSIS)提供了丰富的数据,这些数据已用于估算火星南极层状沉积物(SPLD)的介电特性。本文提出了一种新的方法来反转数据以估计SPLD的介电性能。总共分析了4364次测量。接收到的雷达信号受SPLD及其基础层的物理属性控制,此外还受包括传输波属性,卫星高度和大气/电离层环境在内的许多因素的控制。接收到的信号也可能会受到表面杂波的影响。这些因素大多数都是可变的。这种复杂性使反演变得困难。为了进行反演,因此有必要为反射雷达信号的表面/地下层的物理特性定义一个合理的简单模型。 MARSIS观测到SPLD的顶部和底部界面是雷达信号的两个反射峰。观察到两个反射峰之间的强度比是分离两个峰的时间差的函数。通过对此依赖性进行建模,可以消除卫星位置和大气/电离层环境的影响。这是进行反演的重要一步。然而,反问题仍然不适当且高度非线性。利用贝叶斯推理来处理反演的不适定方面,并引入遗传算法来处理非线性。结论是,SPLD的相对介电常数最可能的值是3.0-5.0,电导率是1.0-2.0×10?6 S / m,基础层的相对介电常数是7.5-8.5(基础假设电导率是1.0×10?7 S / m。)这些结果表明SPLD是水冰/粉尘混合物,粉尘含量在0到75%以上。

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