activity
20202026
most citedSolar wind prediction using deep learning

76 citations · 143 across the 19 of their papers we have counts for

collaborators

19 papers

astro-ph.SR2026

Chromospheric and Transition Region Responses of activities at the base of Coronal Plumes

Biswanath Malaker, Vishal Upendran, Durgesh Tripathi

We present the identification of the co-spatial and co-temporal small scale jets -- sometimes also named as jetlets -- at the base of the coronal hole plume associated with chromos…

astro-ph.SR2026

The Study of Quasi-Periodic Pulsations in Solar and Stellar Flares with SKA

Valery M. Nakariakov, Atul Mohan, Vishal Upendran +5

An intensively studied phenomenon which is not described by the standard flare model are quasi-periodic pulsations (QPP) of the flaring emission. As analysis of the QPP phenomenon…

astro-ph.SR2026

Near-Sun Switchbacks Show Statistical Signatures of Solar Activity

Sneha Pandit, Thierry Dudok de Wit, Clara Froment +3

The large amplitude, Alfvénic deflections in the solar wind, called magnetic switchbacks, are a ubiquitous feature of the inner heliosphere, yet their origin and variability remain…

astro-ph.SR2026

Predicting the thermodynamics in the chromosphere from the translation of SDO data into the IRIS inversion results using a visual transformer model

Alberto Sainz Dalda, Vishal Upendran, Juno Kim +4

We present SDO2IRIS: a visual transformer model that translates a combination of images of the chromosphere and transition region (TR), observed by AIA, and a line-of-sight mag…

astro-ph.SR2025

Surya: Foundation Model for Heliophysics

Sujit Roy, Johannes Schmude, Rohit Lal +30

Heliophysics is central to understanding and forecasting space weather events and solar activity. Despite decades of high-resolution observations from the Solar Dynamics Observator…

astro-ph.SR2025

SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction

Sujit Roy, Dinesha V. Hegde, Johannes Schmude +22

This paper introduces a high resolution, machine learning-ready heliophysics dataset derived from NASA's Solar Dynamics Observatory (SDO), specifically designed to advance machine…

astro-ph.SR2025

X-class flare on Dec 31, 2023, observed by the Solar Ultraviolet Imaging Telescope on board Aditya-L1

Soumya Roy, Durgesh Tripathi, Vishal Upendran +10

We present the multi-wavelength study of the ejection of a plasma blob from the limb flare SOL2023-12-31T21:36:00 from NOAA 13536 observed by the Solar Ultraviolet Imaging Telescop…

astro-ph.SR2025

Comparison of plasma dynamics in Coronal Holes and Quiet Sun using flux emergence simulations

Vishal Upendran, Durgesh Tripathi, Bhargav Vaidya +2

This paper presents a comparison of plasma dynamics in Coronal Holes (CHs) and Quiet Sun (QS) through 2.5D MHD flux emergence simulations. The magnetic reconnection between the eme…

astro-ph.SR2024★ 1 cited

SPACE-SUIT: An Artificial Intelligence Based Chromospheric Feature Extractor and Classifier for SUIT

Pranava Seth, Vishal Upendran, Megha Anand +6

The Solar Ultraviolet Imaging Telescope(SUIT) onboard Aditya-L1 is an imager that observes the solar photosphere and chromosphere through observations in the wavelength range of 20…

astro-ph.SR2024★ 7 cited

Surface Flux Transport Modeling using Physics Informed Neural Networks

Jithu J Athalathil, Bhargav Vaidya, Sayan Kundu +2

Studying the magnetic field properties on the solar surface is crucial for understanding the solar and heliospheric activities, which in turn shape space weather in the solar syste…

astro-ph.SR2024★ 2 cited

Thermodynamic Evolution of Plumes

Biswanath Malaker, Vishal Upendran, Durgesh Tripathi

Plumes are considered to play an important role in the origin of solar wind. However, an understanding of their thermodynamic evolution is not complete. Here, we perform a detailed…

astro-ph.SR2023★ 1 cited

Heating and dynamics of the Solar atmosphere

Vishal Upendran

The solar atmosphere shows anomalous variation in temperature, starting from the 5500 K photosphere to the million-degree Kelvin corona. The corona itself expands into the interste…

astro-ph.SR2022★ 8 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-ph2022★ 15 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★ 20 cited

On the formation of solar wind & switchbacks, and quiet Sun heating

Vishal Upendran, Durgesh Tripathi

The solar coronal heating in quiet Sun (QS) and coronal holes (CH), including solar wind formation, are intimately tied by magnetic field dynamics. Thus, a detailed comparative stu…

astro-ph.SR2021

Properties of the C II 1334 Å line in Coronal Hole and Quiet Sun as observed by IRIS

Vishal Upendran, Durgesh Tripathi

Coronal Holes (CHs) have subdued intensity and net blueshifts when compared to Quiet Sun (QS) at coronal temperatures. At transition region temperatures, such differences are obtai…

astro-ph.SR2021★ 13 cited

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.SR2020★ 76 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…