11 citations · 14 across the 6 of their papers we have counts for
4 papers · 1 filter
Characterizing Solar Spicules and their Role in Solar Wind Production using Machine Learning and the Hough Transform
R. Sadeghi, E. Tavabi
Solar winds originate from the Sun and can be classified as fast or slow. Fast solar winds come from coronal holes at the solar poles, while slow solar winds may originate from the…
Exploring Damping Properties of IRIS Bright Points using Deep Learning Techniques
E. Tavabi, R. Sadeghi
This study analyzed the Doppler shift in the solar spectrum using the Interface Region Imaging Spectrograph (IRIS). Two types of oscillations were investigated: long period damp an…
Dampening Long-Period Doppler Shift Oscillations using Deep Machine Learning Techniques in the Solar Network and Internetwork
Rayhaneh Sadeghi, Ehsan Tavabi
This study explores the Doppler shift at different wavelengths in the Interface Region Imaging Spectrograph (IRIS) solar spectrum and implements a comprehensive consideration of Do…
IRIS observational approach to the oscillatory and damping nature of network and internetwork chromosphere small-scale brightening (SSBs) and their unusual dynamical and morphological differences in different regions on the solar disk
Rayhane Sadeghi, Ehsan Tavabi
One of the most exciting benefits of solar small-scale brightening is their oscillations, this study investigated the properties of small-scale brightening (SSBs) in different regi…