论文标题
墨西哥阵列射程望远镜（MEXART）的首次太阳能无线电爆发观察处140 MHz
First Solar Radio Burst Observations by the Mexican Array Radio Telescope (MEXART) at 140 MHz
论文作者
论文摘要
墨西哥太空天气的全国实验室（Climaespacial：Lance实验室）协调仪器，以监视墨西哥上的太空智能。其中两种仪器是墨西哥阵列射电望远镜（MEXART）和复合天文学的低频低成本仪器，用于光谱和可运输天文台（Callisto）站，来自E-Callisto Network（Callmex）。两种乐器都位于同一设施（墨西哥的Coeneo Michoacan），共享一个以140 MHz为中心的光谱带。在这项工作中，我们显示了电子 - 加利斯托网络的功能，以确定Mexart radiotelescope信号中的太阳能无线电爆发。我们在2015年9月至2019年5月之间确定了MEXART信号中的75次Solarradio爆发：II型II型和70型事件。MEXART信号中太阳能无线电爆发的分析为我们提供了有关无线电事件发展的有价值信息，这些信息是由于它们的高灵敏度，时间分辨率，分辨率，分辨率和异位响应。对于III型太阳能无线电事件的情况，我们在140 MHz的信号的动力学演化中识别三个特征阶段：一个相期，主要峰，衰减阶段和事后阶段。在他们的光谱中，它被确定为时间序列主要事件之前的松树结构。这些特征在电子 - 核心网络的数据中无法观察到。
The National Laboratory of Space Weather in Mexico (Laboratorio Nacional de ClimaEspacial: LANCE) coordinates instrumentation for monitoring the space-weatherimpact over Mexico. Two of these instruments are the Mexican Array Radio Telescope(MEXART) and Compound Astronomical Low frequency Low cost Instrument for Spectroscopy and Transportable Observatory(CALLISTO) station from the e-CALLISTO network (CALLMEX). Both instruments are located at the same facility(Coeneo Michoacan, Mexico) and share a spectral band centered at 140 MHz. In this work we show the capabilities of the e-CALLISTO network as support to identify a solar radio burst in the signal of the MEXART radiotelescope. We identify 75 solarradio bursts in the MEXART signal: five events of Type II and 70 of Type III between September 2015 and May 2019. The analysis of solar radio bursts in the MEXART signal provide us valuable information about the development of the radio event due their high sensitivity, time resolution, and isotropic response. For the case of Type III solar radio events, we identify three characteristic phases in the dynamical evolution ofthe signal at 140 MHz: a pre-phase, a main peak, a decay phase, and a post-event phase.A Morlet wave transform was done of MEXART signals in the Type III solar radiobusts; in their spectra it was identified a pine tree structure preceding the main event in the time series. These characteristics are not observable in the data from the e-Callistonetwork.
