墨西哥天线阵Radio Telescope（MEXART）在140兆赫上对第一次太阳射电爆发的观测
First Solar Radio Burst Observations by the Mexican Array Radio Telescope (MEXART) at 140 MHz
摘要：
墨西哥国家空间天气实验室负责协调监测墨西哥上空空间天气影响的仪器。其中两个仪器是墨西哥阵列射电望远镜和电子天文学低成本光谱学和移动式观测台组合低频仪器网络（CALLMEX）的天文学低成本光谱学和移动式观测台组合低频仪器。这两台仪器都位于同一设施（墨西哥Coeneo Michoacan），共用一个以140 MHz为中心的频谱带。在这项工作中，我们展示了电子CALLISTO网络的能力，以支持MEXART射电望远镜的信号中识别太阳射电爆发。我们在MEXART信号中识别出75个太阳射电爆发：2015年9月至2019年5月期间的5个II型事件和70个III型事件。MEXART信号中的太阳射电爆发的分析为我们提供了有价值的信息，无线电事件的发展，由于其高灵敏度，时间分辨率和各向同性的响应。对于III型太阳射电爆发，在140 MHz频段上，我们识别出了三个特征的动态演化阶段：前阶段、主峰阶段、衰减阶段和事件后阶段;对III型太阳射电爆发的MEXART信号进行Morlet波变换，在其频谱中识别出了主事件之前的松树结构。这些特征在来自e-Callistonetwork的数据中不可观察到。
英文摘要：
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.
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