activity
20202022
most citedSolar wind prediction using deep learning

76 citations · 99 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.SR20228 cited

Nanoflare Heating of the Solar Corona Observed in X-rays

Vishal Upendran, Durgesh Tripathi, N. P. S. Mithun +2

The existence of the million-degree corona above the cooler photosphere is an unsolved problem in astrophysics. Detailed study of quiescent corona that exists regardless of the pha…

physics.space-ph202215 cited

Global geomagnetic perturbation forecasting using Deep Learning

Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi +6

Geomagnetically Induced Currents (GICs) arise from spatio-temporal changes to Earth's magnetic field which arise from the interaction of the solar wind with Earth's magnetosphere,…

astro-ph.SR2021

On the Impulsive Heating of Quiet Solar Corona

Vishal Upendran, Durgesh Tripathi

The solar corona consists of a million-degree Kelvin plasma. A complete understanding of this phenomenon demands the study of Quiet Sun (QS) regions. In this work, we study QS regi…

physics.geo-ph2021

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition

Panagiotis Tigas, Téo Bloch, Vishal Upendran +6

Modeling and forecasting the solar wind-driven global magnetic field perturbations is an open challenge. Current approaches depend on simulations of computationally demanding model…

astro-ph.SR202076 cited

Solar wind prediction using deep learning

Vishal Upendran, M. C. M Cheung, Shravan Hanasoge +1

Emanating from the base of the Sun's corona, the solar wind fills the interplanetary medium with a magnetized stream of charged particles whose interaction with the Earth's magneto…