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Advanced GLS map-making for the Herschel's photometers

机译:赫歇尔光度计的高级GLS制图

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We discuss Generalised Least Squares (GLS) map-making for the data of the Herschel satellite's photometers, which is a difficult task, due to the many disturbances affecting the data, and requires appropriate pre- and post-processing. Taking an existing map-maker as a reference, we propose several advanced techniques, which can improve both the quality of the estimate and the efficiency of the software. As a main contribution we discuss two disturbances, which have not been studied yet and may be detrimental to the image quality. The first is a data shift, due to delays in the timing system or in the processing chain. The second is a random noise, termed pixel noise, due to the jitter and the approximation of the pointing information. For both these disturbances, we develop a mathematical model and propose a compensation method. As an additional contribution, we note that the performance can be improved by properly adapting the algorithm parameters to the data being processed and discuss an automatic setting method. We also provide a rich set of examples and experiments, illustrating the impact of the proposed techniques on the image quality and the execution speed.
机译:我们讨论了赫尔切尔卫星光度计数据的广义最小二乘(GLS)地图制作,这是一项艰巨的任务,因为会影响数据,因此需要进行适当的预处理和后处理。以现有的地图制作者为参考,我们提出了几种先进的技术,可以同时提高估算质量和软件效率。作为主要贡献,我们讨论了两种干扰,这些干扰尚未得到研究,可能对图像质量有害。第一个是由于定时系统或处理链中的延迟而导致的数据移位。第二个是由于抖动和指向信息的近似而导致的随机噪声,称为像素噪声。针对这两种干扰,我们建立了数学模型并提出了一种补偿方法。作为一个额外的贡献,我们注意到可以通过适当地使算法参数适应正在处理的数据来提高性能,并讨论一种自动设置方法。我们还提供了丰富的示例和实验集,说明了所提出的技术对图像质量和执行速度的影响。

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