标题： NEOWISE 数据处理和近地小行星观测的颜色校正 显示英文标题

标题： NEOWISE Data Processing and Color Corrections for Near-Earth Asteroid Observations

摘要： 广域红外线巡天探测器和NEOWISE任务是近地天体（NEA）热数据的关键来源。 这些任务利用地球轨道上的空间平台，生成了四个不同波长带（W1 - W4）的热图像，有效波长分别为3.4、4.6、12和22{\mu }米。 尽管该任务用于NEA观测，但其任务架构最初是为观测恒星而设计的。 因此，在处理NEA数据时，需要仔细的数据分析方法以考虑这些目标之间的差异。 然而，对于不熟悉该任务的用户来说，如何处理这些数据的详细信息可能难以找到。 所需的信息有详细的文档，但查找起来可能具有挑战性，许多细节，如颜色校正的具体内容，并未完全解释。 因此，在本工作中，我们提供了处理NEOWISE数据的“经验教训”，概述了如何获取和处理NEA研究的NEOWISE数据的基本方法，并提出了一种确定颜色校正的经验方法。 我们通过处理三个NEA的数据来突出这一过程的重要性，发现几乎所有可用的观测数据都应被丢弃。 最后，我们基于不同级别的数据分析展示了简单的热模型结果，以突出数据处理如何影响模型结果。 显示英文摘要

摘要： The Wide-field Infrared Survey Explorer and NEOWISE missions are a key source of thermal data for near-Earth asteroids (NEAs). These missions, which utilized a space-based platform in Earth orbit, produced thermal images across four different wavelength bands, W1 - W4, with effective wavelengths of 3.4, 4.6, 12, and 22 {\mu}m respectively. Despite its use for NEA observations though, the mission architecture was originally designed to observe stars. Thus, careful data analysis methods are crucial when working with NEA data to account for the differences between these objects. However, detailed information on how to work with these data can be difficult to find for users unfamiliar with the mission. The required information is well documented, but locating it can be challenging, and many details, such as specifics about color corrections, are not fully explained. Therefore, in this work, we provide a set of "lessons learned" for working with NEOWISE data, outline the basics of how to retrieve and process NEOWISE data for NEA investigations, and present an empirical method for color correction determination. We highlight the importance of this process by processing data for three NEAs, finding that nearly half of all available observations should be discarded. Finally, we present simple thermal model results based on different levels of data analysis to highlight how data processing can affect model results.