Study of Calibration of Solar Radio Spectrometers and the quiet-Sun Radio Emission

TL;DR

This study investigates how weather, especially temperature, affects the calibration of solar radio spectrometers and improves quiet-Sun radio emission modeling by applying temperature corrections and hybrid models.

Contribution

It introduces a systematic method to correct calibration errors due to weather conditions and enhances quiet-Sun radio emission modeling accuracy.

Findings

Calibration errors reduced by 10-20% after temperature correction.

Calibration coefficients are significantly affected by local air temperature.

Hybrid model yields flux predictions closer to observations.

Abstract

This work presents a systematic investigation of the influence of weather conditions on the calibration errors by using Gaussian fitness, least chi-square linear fitness and wavelet transform to analyze the calibration coefficients from observations of the Chinese Solar Broadband Radio Spectrometers (at frequency bands of 1.0-2.0 GHz, 2.6-3.8 GHz, and 5.2-7.6 GHz) during 1997-2007. We found that calibration coefficients are influenced by the local air temperature. Considering the temperature correction, the calibration error will reduce by about $10\%-20\%$ at 2800 MHz. Based on the above investigation and the calibration corrections, we further study the radio emission of the quiet-Sun by using an appropriate hybrid model of the quiet-Sun atmosphere. The results indicate that the numerical flux of the hybrid model is much closer to the observation flux than that of other ones.