Antenna system characteristic and solar radio burst observation

TL;DR

The paper describes the development and capabilities of the Chinese Spectral Radio Heliograph (CSRH), an advanced solar radio imaging instrument, and reports successful observations of solar radio bursts and satellite imaging.

Contribution

It introduces the design, technical specifications, and observational achievements of CSRH, including solar burst detection and imaging techniques for surface sources.

Findings

Successful detection of a solar radio burst between 1.2-1.6GHz.

CSRH's gain exceeds 60 dBi and noise temperature is below 120K.

Imaging of a geosynchronous satellite demonstrates error correction methods.

Abstract

Chinese Spectral Radio Heliograph (CSRH) is an advanced aperture synthesis solar radio heliograph, developed by National Astronomical Observatories, Chinese Academy of Sciences independently. It consists of 100 reflector antennas, which are grouped into two antenna arrays (CSRH-I and CSRH-II) for low and high frequency bands respectively. The frequency band of CSRH-I is 0.4-2GHz and for CSRH-II, the frequency band is 2-15GHz. In the antenna and feed system, CSRH uses an Eleven feed to receive signals coming from the Sun, the radiation pattern with lower side lobe and back lobe of the feed is well radiated. The characteristics of gain G and antenna noise temperature T effect the quality of solar radio imaging. For CSRH, measured G is larger than 60 dBi and $ T $ is less than 120K, after CSRH-I was established, we have successfully captured a solar radio burst between 1.2-1.6GHz on November 12, 2010 through this instrument and this event was confirmed through the observation of Solar Broadband Radio Spectrometer (SBRS) at 2.84GHz and Geostationary Operational Environmental Satellite (GOES). In addition, an image obtained from CSRH-I clearly reveals the profile of the solar radio burst. The other observational work is the imaging of Fengyun-2E geosynchronous satellite which is assumed to be a point source. This data processing method indicates that, the method of deleting errors about dirty image could be used for processing other surface sources.