The application of machine learning in solar physics has the potential to greatly enhance our
understanding of the complex processes that take place in the atmosphere of the Sun. By …

Context. Helioseismic holography is a useful method for detecting active regions on the
Sun's far side and improving space weather forecasts. Aims. We aim to improve helioseismic …

This study aimed to explore the Doppler shift at different wavelengths in the IRIS solar
spectrum and analyze the evolution and statistical properties of longitudinal oscillations with …

Accurate modeling of the Sun's coronal magnetic field and solar wind structures requires
inputs of the solar global magnetic field, including both the near and far sides, but the Sun's …

The method of direct imaging has detected many exoplanets and made important
contribution to the field of planet formation. The standard method employs angular …

Context. The far-side activity of the Sun can be inferred by interpreting the near-side wave
field using local helioseismic techniques. However, detections are limited to strongly active …

Context. Far-side helioseismology is a technique used to infer the presence of active regions
in the far hemisphere of the Sun based on the interpretation of oscillations measured in the …

We address the question of which combination of channels can best translate other
channels in ultraviolet (UV) and extreme UV (EUV) observations. For this, we compare the …

Determining accurate plasma Doppler (line-of-sight) velocities from spectroscopic
measurements is a challenging endeavour, especially when weak chromospheric …

We have developed an inversion procedure designed for high-resolution solar spectro-
polarimeters, such as those of Hinode and the DKIST. The procedure is based on artificial …