论文标题
Pycallisto：一个用于处理Callisto光谱仪数据的Python库
pyCallisto: A Python Library To Process The CALLISTO Spectrometer Data
论文作者
论文摘要
Callisto是一种无线电光谱仪，旨在监视瞬态无线电排放/爆发，源自太阳能电晕的频率范围$ 45-870 $ MHz。目前，全球有$ \ gtrsim 150美元的电台（共同形成了一个电子网络），每天24小时不断监视太阳。我们已经开发了一个Pycallisto，这是一个Python库，用于处理E-Callisto网络所有站点观察到的Callisto数据。在本文中，我们演示了各种有用的功能，这些功能通常用于处理Callisto数据，并提供合适的示例。该库不仅有效地处理数据，而且在开发不同类型的太阳能无线电爆发的自动分类算法中起着重要作用。
CALLISTO is a radio spectrometer designed to monitor the transient radio emissions/bursts originated from the solar corona in the frequency range $45-870$ MHz. At present, there are $\gtrsim 150$ stations (together forms an e-CALLISTO network) around the globe continuously monitoring the Sun 24 hours a day. We have developed a pyCallisto, a python library to process the CALLISTO data observed by all stations of the e-CALLISTO network. In this article, we demonstrate various useful functions that are routinely used to process the CALLISTO data with suitable examples. This library is not only efficient in processing the data but plays a significant role in developing automatic classification algorithms of different types of solar radio bursts.
