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首页> 外文期刊>Astronomy and astrophysics >Digitized archive of the Kodaikanal images: Representative results of solar cycle variation from sunspot area determination
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Digitized archive of the Kodaikanal images: Representative results of solar cycle variation from sunspot area determination

机译:科代卡纳尔影像的数字化存档:从太阳黑子区域确定得出的太阳周期变化的代表性结果

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Context. Sunspots have been observed since Galileo Galilei invented the telescope. Later, sunspot drawings have been upgraded to image storage using photographic plate in the second half of nineteenth century. These photographic images are valuable data resources for studying long-term changes in the solar magnetic field and its influence on the Earth’s climate and weather. Aims. Digitized photographic plates cannot be used directly for the scientific analysis. It requires certain steps of calibration and processing before using them for extracting any useful information. The final data can be used to study solar cycle variations over several cycles. Methods. We digitized more than 100 years of white-light images stored in photographic plates and films that are available at Kodaikanal observatory starting from 1904. The images were digitized using a 4k??×??4k format CCD-camera-based digitizer unit.The digitized images were calibrated for relative plate density and aligned in such a way that the solar north is in upward direction. A semi-automated sunspot detection technique was used to identify the sunspots on the digitized images. Results. In addition to describing the calibration procedure and availability of the data, we here present preliminary results on the sunspot area measurements and their variation with time. The results show that the white-light images have a uniform spatial resolution throughout the 90 years of observations. However, the contrast of the images decreases from 1968 onwards. The images are circular and do not show any major geometrical distortions. The measured monthly averaged sunspot areas closely match the Greenwich sunspot area over the four solar cycles studied here. The yearly averaged sunspot area shows a high degree of correlation with the Greenwich sunspot area. Though the monthly averaged sunspot number shows a good correlation with the monthly averaged sunspot areas, there is a slight anti-correlation between the two during solar maximum. Conclusions. The Kodaikanal data archive is hosted at http://kso.iiap.res.in. The long time sequence of the Kodaikanal white-light images provides a consistent data set for sunspot areas and other proxies. Many studies can be performed using Kodaikanal data alone without requiring intercalibration between different data sources.
机译:上下文。自伽利略伽利略发明望远镜以来,就观察到了黑子。后来,在19世纪下半叶,黑子的图片已升级为使用照相板的图像存储。这些摄影图像是研究太阳磁场的长期变化及其对地球气候和天气影响的宝贵数据资源。目的数字照相底片不能直接用于科学分析。在使用它们提取任何有用的信息之前,它需要校准和处理的某些步骤。最终数据可用于研究几个周期内的太阳周期变化。方法。从1904年起,我们对存储在Kodaikanal天文台的照相底片和胶卷中存储的100多年的白光图像进行了数字化处理。这些图像是使用4k×××4k格式CCD相机数字化仪进行数字化处理的。将数字化的图像校准为相对板密度,并以使得太阳向北朝上的方式对齐。使用半自动黑子检测技术来识别数字化图像上的黑子。结果。除了描述校准程序和数据可用性之外,我们在这里还介绍了有关黑子面积测量及其随时间变化的初步结果。结果表明,在整个90年的观测中,白光图像具有统一的空间分辨率。但是,图像的对比度从1968年开始下降。这些图像是圆形的,没有任何主要的几何变形。在这里研究的四个太阳周期中,测得的月平均黑子面积与格林威治黑子面积紧密匹配。年平均黑子面积与格林威治黑子高度相关。尽管月平均黑子数与月平均黑子数显示出良好的相关性,但是在太阳最大时,两者之间存在轻微的反相关。结论。 Kodaikanal数据存档位于http://kso.iiap.res.in。 Kodaikanal白光图像的长时间序列为黑子区域和其他代理提供了一致的数据集。可以单独使用Kodaikanal数据进行许多研究,而无需在不同数据源之间进行相互校准。

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