Post-Launch Support for the Venus Express Magnetometer Instrument

帝国理工学院将执行验证磁力计数据的小而重要的任务。数据处理链中的步骤总结为：1。原始数据的检索和检查（格拉茨）磁力计数据的校正（格拉茨）消除航天器干扰（格拉茨，科希策，谢菲尔德）去除残余偏移（UCLA）数据验证（格拉茨帝国理工学院）数据验证是一个必要的检查过程，以确保半自动校准和干扰步骤正确工作，没有人为因素被引入数据，特别是没有（或最小）航天器干扰。它也是对可能在遥测下行链路或地面处理上损坏的数据的检查。验证是部分自动化和部分可视化的过程，需要了解磁力计仪器及其操作环境。为了方便起见，Imperial也将从Graz接管任务6，因为我们通常对Cluster和Rosetta数据集做同样的事情。

Imperial will perform the small but important task of validating the magnetometer data. The steps in the data-processing chain are summarised as: 1. Retrieval and checking of raw data (Graz) 2. Calibration of magnetometer data (Graz) 3. Removal of spacecraft interference (Graz, Kosice, Sheffield) 4. Removal of Residual Offsets (UCLA) 5. Validation of data (Imperial College, Graz) 6. Submission of data to ESA Planetary Science Archive (Imperial College) Data validation is a checking process which is necessary to ensure that the semi-automated calibration and interference steps have worked correctly, that no artefacts have been introduced to the data, and in particular that no (or minimal) spacecraft interference remains. It is also a check against data which may become corrupted on the telemetry downlink or ground-processing. Validation is part-automated and part-visual process which requires knowledge of both magnetometer instruments and the environment in which they operate. For expediency, Imperial will also take over task 6 from Graz, since we routinely do the same for Cluster and Rosetta data sets.