A New Solar Broadband Radio Spectrometer (SBRS) in China

Fu, Qijun; Ji, Huirong; Qin, Zihai; Xu, Z.; Xia, Zhiguo; Wu, Huizhen; Liu, Yuying; Yan, Yihua; Huang, Guangli; Chen, Zhijun; Jin, Zhenyu; Yao, Qijun; Cheng, Congling; Xu, Fuying; Wang, Min; Pei, Libei; Chen, Shan-Huai; Guo, Yang; Tan, Chengyu; Shi, Suobiao

doi:10.1023/b:sola.0000036876.14446.dd

Cited by 110 publications

(46 citation statements)

References 24 publications

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“…Joint RHESSI-radio observations have also been made with a number of dynamic spectrographs spanning a wide range of frequencies, such as Ondrejov at 0.1-4.2 GHz (Jiricka et al 1993), Huairou at 2.6-3.8 GHz (Fu et al 2004), the Phoenix-2 instrument at 0.1-4 GHz (Messmer et al 1999), Tremsdorf at 40-800 MHz (Mann et al 1992), the Greenbank Solar Radio Burst Spectrometer at 10-110 MHz (White et al 2005a) and Hiraiso at 25-2500 MHz (Kondo et al 1994). There are plans for an ambitious new solar radio interferometer, the Frequency Agile Solar Radio Telescope (FASR; Bastian 2003) to cover the range 0.1 to 24 GHz, while low-frequency solar imaging and spectroscopy is planned with the Low Frequency Array for Radio Astronomy (LOFAR, Bastian 2004); see Claßen et al (2003) and .…”

Section: Radiomentioning

confidence: 99%

An Observational Overview of Solar Flares

et al. 2011

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We present an overview of solar flares and associated phenomena, drawing upon a wide range of observational data primarily from the RHESSI era. Following an introductory discussion and overview of the status of observational capabilities, the article is split into topical sections which deal with different areas of flare phenomena (footpoints and ribbons, coronal sources, relationship to coronal mass ejections) and their interconnections. We also discuss flare soft X-ray spectroscopy and the energetics of the process. The emphasis is to describe the observations from multiple points of view, while bearing in mind the models that link them to each other and to theory. The present theoretical and observational understanding of solar flares is far from complete, so we conclude with a brief discussion of models, and a list of missing but important observations.

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Section: Radiomentioning

confidence: 99%

An Observational Overview of Solar Flares

et al. 2011

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“…SBRS is an advanced solar radio telescope with super high cadence, broad frequency bandwidth, and high frequency resolution, which can distinguish the super fine structures from the spectrogram (Fu et al 1995(Fu et al , 2004Yan et al 2002). Its daily observational window is 0:00-8:00 UT during the winter seasons and 23:00-9:00 UT during the summer seasons.…”

Section: The Chinese Solar Broadband Radio Spectrometers Atmentioning

confidence: 99%

Statistics and Classification of the Microwave Zebra Patterns Associated With Solar Flares

Tan

Zhang

Mészárosová

et al. 2013

ApJ

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The microwave zebra pattern (ZP) is the most interesting, intriguing, and complex spectral structure frequently observed in solar flares. A comprehensive statistical study will certainly help us to understand the formation mechanism, which is not exactly clear now. This work presents a comprehensive statistical analysis of a big sample with 202 ZP events collected from observations at the Chinese Solar Broadband Radio Spectrometer at Huairou and the Ondŕejov Radiospectrograph in the Czech Republic at frequencies of 1.00-7.60 GHz from 2000 to 2013. After investigating the parameter properties of ZPs, such as the occurrence in flare phase, frequency range, polarization degree, duration, etc., we find that the variation of zebra stripe frequency separation with respect to frequency is the best indicator for a physical classification of ZPs. Microwave ZPs can be classified into three types: equidistant ZPs, variable-distant ZPs, and growing-distant ZPs, possibly corresponding to mechanisms of the Bernstein wave model, whistler wave model, and double plasma resonance model, respectively. This statistical classification may help us to clarify the controversies between the existing various theoretical models and understand the physical processes in the source regions.

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“…The SBRS of China [1] is designed to acquire dynamic spectrograms of solar microwave bursts with the combination of wide frequency coverage (0.7-7.6 GHz), high temporal resolution, high spectral resolution, and high sensitivity. It consists of five 'component spectrometers' which operate in five different wave bands.…”

Section: A Solar Radio Spectrum Databasementioning

confidence: 99%

“…All the five 'component spectrometers' work simultaneously to make a full view of the solar microwave bursts from the perspective of sensing frequencies. Detailed information about SBRS can be referred to [1].…”

Section: A Solar Radio Spectrum Databasementioning

confidence: 99%

“…As solar radio telescopes have improved a lot in recent years, fine structures in solar radio bursts can be detected. In this study, we use data obtained by Solar Broadband Radio Spectrometer (SBRS) of China [1].The SBRS is with characteristics of high time resolution, high-frequency resolution, high sensitivity, and wide frequency coverage in the microwave region. Its functionality is to monitor solar radio bursts in the frequency range of 0.7-7.6 GHz with time resolution of 1-10 ms.…”

Section: Introductionmentioning

confidence: 99%

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Multimodal Learning for Classification of Solar Radio Spectrum

Chen

et al. 2015

2015 IEEE International Conference on Systems, Man, and Cybernetics

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Abstract-This paper proposes the first attempt to utilize multimodal learning method for the representation learning of the solar radio spectrums. The solar radio signals sensed from different frequency channels, which present different characteristics, are regarded as different modalities. We employ a multimodal neural network to learn the representations of the solar radio spectrum, which can distinguish the differences and learn the interactions between different modalities. The original solar radio spectrums are firstly pre-processed, including normalization, denoising, channel competition and etc., before being fed into the multimodal learning network. Experimental results have demonstrated that the proposed multimodal learning network can learn the representation of the solar radio spectrum more effectively, and improve the classification accuracy.

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A New Solar Broadband Radio Spectrometer (SBRS) in China

Cited by 110 publications

References 24 publications

An Observational Overview of Solar Flares

An Observational Overview of Solar Flares

Statistics and Classification of the Microwave Zebra Patterns Associated With Solar Flares

Multimodal Learning for Classification of Solar Radio Spectrum

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