论文标题
苏黎世天文台目录的太阳活动重建
Reconstruction of the Solar Activity from the Catalogs of the Zurich Observatory
论文作者
论文摘要
苏黎世天文台的目录包含19世纪末和20世纪初的黑子，突出和外表的位置信息。该数据库以手写的表格形式给出，并未系统地分析。它与苏黎世制造的黑子数时间序列不同，并用较大的望远镜获得。我们训练了一种用于手写文本识别的神经网络模型，并介绍了重建坐标的数据库。获得的数据库将Spörer的早期观察结果与20世纪的后期计划联系起来，并补充了皇家格林威治天文台的黑子组目录。我们还期望提出的机器学习方法及其深度功能将激发大量天文数据的处理，这些数据仍然以非数字形式或普通的扫描图像给出。
Catalogs of the Zurich Observatory contain positional information on sunspots, prominences and faculae in late 19th and early 20th centuries. This database is given in handwritten tabular form and was not systematically analysed earlier. It is different from the sunspot number time series made in Zurich and was obtained with a larger telescope. We trained a neural-network model for handwritten text recognition and present the database of reconstructed coordinates. The database obtained connects the earlier observations by Spörer with later programs of the 20th century and supplements the sunspot-group catalogs of the Royal Greenwich Observatory. We also expect that the presented machine-learning approach and its deep capabilities will motivate the processing of a wide bulk of astronomical data, which is still given in non-digitized form or as plain scanned images.
