A Two-element Interferometer for Millimeter-wave Solar Flare Observations
Abstract In this paper, we present the design and implementation of a two-element interferometer operating in the millimeter-wave band (39.5–40 GHz) for observing solar radio emissions through nulling interference. The system is composed of two 50 cm aperture Cassegrain antennas installed on a commo...
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Published in | The Astrophysical journal. Supplement series Vol. 267; no. 1; pp. 14 - 23 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Saskatoon
The American Astronomical Society
01.07.2023
IOP Publishing |
Subjects | |
Online Access | Get full text |
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Summary: | Abstract
In this paper, we present the design and implementation of a two-element interferometer operating in the millimeter-wave band (39.5–40 GHz) for observing solar radio emissions through nulling interference. The system is composed of two 50 cm aperture Cassegrain antennas installed on a common equatorial mount, with a separation of 230 wavelengths. The cross-correlation of the received signals effectively cancels out the quiet solar component of the high flux density (∼3000 sfu) that reduces the detection limit due to atmospheric fluctuations. The system performance is as follows: the noise factor of the analog front end in the observation band is less than 2.1 dB, system sensitivity is approximately 12.4 K (∼34 sfu) with an integration time constant of 0.1 ms (default), the frequency resolution is 153 kHz, and the dynamic range is ≥30 dB. Through actual testing, the nulling interferometer observes a quiet Sun with a low level of output fluctuations (up to 50 sfu) and has a significantly lower radiation flux variability (up to 190 sfu) than an equivalent single-antenna system, even under thick cloud cover. As a result, this new design can effectively improve observation sensitivity by reducing the impact of atmospheric and system fluctuations during observation. |
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Bibliography: | AAS44614 Laboratory Astrophysics, Instrumentation, Software, and Data |
ISSN: | 0067-0049 1538-4365 |
DOI: | 10.3847/1538-4365/acd9af |