A frequent problem arising for deep space missions is the discrepancy between the amount of data desired to be transmitted to the ground and the available telemetry bandwidth. A part of these data consists of scientific observations, being complemented by calibration data to help remove instrumental effects. We present our solution for this discrepancy, implemented for the Polarimetric and Helioseismic Imager on-board the Solar Orbiter mission, the first solar spectropolarimeter in deep space. We implemented an on-board data reduction system that processes calibration data, applies them to the raw science observables, and derives science-ready physical parameters. This process reduces the raw data for a single measurement from 24 images to five, thus reducing the amount of downlinked data, and in addition, renders the transmission of the calibration data unnecessary. Both these on-board actions are completed autonomously.

中文翻译：

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太阳轨道飞行器任务中用于极化和日震成像仪的自主式机载数据处理和仪器校准软件

深空飞行任务经常出现的问题是期望传输到地面的数据量与可用遥测带宽之间的差异。这些数据的一部分由科学观察组成，并辅以校准数据以帮助消除仪器效果。我们提出了针对这一差异的解决方案，该方案是在太阳轨道飞行器任务（深空中的第一个太阳光谱偏振仪）上为极化和日震成像仪实现的。我们实施了一个车载数据缩减系统，该系统可处理校准数据，将其应用于原始科学可观察物，并得出可用于科学的物理参数。此过程将单次测量的原始数据从24张图像减少到5张，从而减少了下行数据的数量，此外，无需发送校准数据。这两种车载动作均自动完成。