This work aims to investigate the sources of the radio emissions from the Sun using multi-spacecraft as well as ground-based beamformed and interferometric remote observations. It consists of performing spectral analysis on the dynamic spectra for multiple case studies of solar type-III radio bursts by comparing multi-viewpoint remote observations of radio bursts detected by different
In recent years Machine Learning (ML) and deep learning (DL) methods have become more frequently applied in solar physics. Nevertheless, usage of data-driven approaches for tracking of CME-related phenomena is currently limited due to insufficiency of training sets, and having a tool that would make preparation of such training sets a more easy task was
In work (https://doi.org/10.3847/1538-4357/ac6b37) recently published in The Astrophysical Journal (IF 5.874), we performed observations of the quiet Sun in the frequency range of 20-80 MHz with the Low-Frequency Array (LOFAR), in which we achieved an unprecedented spatial resolution of quiet Sun in decametric wavelengths. A large number of low-frequency (LBA) antennas in LOFAR provide the
The shape and dynamics of coronal mass ejections (CMEs) varies significantly based on the instrument and wavelength used. This has led to significant debate about the proper definitions of CME/shock fronts, pile-up/compression regions, and cores observed in projection in optically thin vs. optically thin emission. As part of our work on advanced characterization of solar
We have created an extremely valuable tool for studying the quiet-time and active periods of the Sun, which combines radio observations (with LOFAR and MWA) with results from solar coronal MHD modeling. We have developed Python code, which produces forward maps of coronal plasma quantities (shown in Figure 1 below), based on daily output from
Radio interferometric observations are quite difficult, especially at the lowest frequencies observable from the ground. During the night, observing targets are usually steady in emission, and there is little ionospheric interference. During the day the situation is quite different. Quiet-time solar observations at low frequencies reveal a wealth of structures, previously unexplored. Interferometric imaging reveals
The solar corona between below 10 solar radii is an important region for early acceleration and transport of solar energetic particles (SEPs) by coronal mass ejection-driven shock waves. There, these waves propagate into a highly variable dynamic medium with steep gradients and rapidly expanding coronal magnetic fields, which modulates the particle acceleration near the shock/wave
In this work, we implemented short-term and long-term forecasting models to predict the solar protons’ integral flux at 1 AU using the Bi-directional Long Short-Term Memory (Bi-LSTM) neural network model. The LSTM networks are a subset of the Recurrent Neural Network (RNN) used in deep learning to address contextual information by integrating a loop that
Wavetrack produces time-dependent feature pixel masks, which can be applied to integral or base-difference images of different frequencies/wavelengths to produce time-dependent feature maps. It is quite robust and is capable of accurately tracking the pixels related to very dim, large-scale features like coronal bright fronts / EUV waves in AIA observations. It has also been
The MOSAIICS project was featured at the 11th annual Sofia Science Festival! Over two days in mid-May, the best and most interesting popular and hardcore science projects in Bulgaria were demonstrated to thousands of visitors as part of the festival fair. We were part of the display of the Institute of Astronomy. In addition, we