dc.description.abstract |
Solar observations at low radio frequencies using the MurchisonWidefield Array have recently
revealed the presence of a myriad of weak, short-lived and narrow-band emission features, even
during quiet and moderately active solar conditions. In terms of their appearance in the timefrequency
plane, these features are quite unlike any of the known classes of radio bursts and
their detailed observational characteristics are yet to be established. They occur at rates of a few
thousands per hour in the 30:72 MHz observational bandwidth and hence, necessarily require
an automated approach for their characterization. Here, we develop a wavelet-based pipeline
using a 2D Ricker wavelet for automated feature recognition from the dynamic spectrum. We
perform separate non-imaging and imaging studies of these features to investigate distributions
of their peak flux densities, energies, morphologies in the dynamic spectrum, source sizes and
locations, and search for their associations with known solar active regions. We find the typical
radiated energies associated with these features to be about 1015 1018 ergs, placing them
amongst the weakest radio bursts reported in literature. The distribution of their peak flux
densities is well-fit by a power law with index -2.23 over the 12155 SFU range, implying
that they can contribute to coronal and chromospheric heating in an energetically significant
manner. Images of a small subset of these features reveal the presence of two bright, compact,
extended sources. While one of these two sources appears only during the occurrence of some
features, the other source is persistently present, even during feature-less regions of the dynamic
spectrum. The presence of this persistent source together with its association to a flaring region
observed at EUV wavelengths suggest that the observed small-scale features correspond to
type-I bursts embedded in a type-I storm. Analogous to type-I bursts, these features appear to
ride on a variable, enhanced, broadband continuum, and possess short spectral and temporal
spans of about 45 MHz and 12 seconds respectively. A 2D Gaussian model is found
to serve as a powerful tool to track the locations and morphologies of their sources with an
accuracy better than the intrinsic resolution of the observing instrument. |
en_US |