The InSight mission is due to launch in May 2018, carrying a payload of novel instruments designed and tested to probe the interior of Mars whilst deployed directly on the Martian regolith and partially isolated from the Martian environment by the Wind and Thermal Shield. Central to this payload is the seismometry package SEIS consisting of two seismometers, which is supported by a suite of environmental/meteorological sensors (Temperature and Wind Sensor for InSight TWINS; and Auxiliary Payload Sensor Suite APSS). In this work, an optimal estimations inversion scheme which aims to decorrelate the short-period seismometer (SEIS-SP) signal due to seismic activity alone from the environmental signal and random noise is detailed, and tested on both simulated and Viking data. This scheme also applies a module to identify measurements contaminated by Single Event Phenomena (SEP). This scheme will be deployed as the pre-processing pipeline for all SEIS-SP data prior to release to the scientific community for analysis.

中文翻译：

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从 InSight/SEIS-SP 微地震仪测量中分离地震信号

InSight 任务定于 2018 年 5 月发射，携带设计和测试用于探测火星内部的新型仪器有效载荷，同时直接部署在火星风化层上，并通过风和热屏蔽部分与火星环境隔离。该有效载荷的核心是由两个地震仪组成的地震测量包 SEIS，由一套环境/气象传感器（InSight TWINS 的温度和风传感器；以及辅助有效载荷传感器套件 APSS）支持。在这项工作中，详细介绍了一种最优估计反演方案，该方案旨在从环境信号和随机噪声中单独分析由地震活动引起的短周期地震仪 (SEIS-SP) 信号，并在模拟和维京数据上进行测试。该方案还应用了一个模块来识别受单事件现象 (SEP) 污染的测量值。在发布给科学界进行分析之前，该方案将部署为所有 SEIS-SP 数据的预处理管道。