29 citations · 127 across the 12 of their papers we have counts for
12 papers
Multi-modal encoder-decoder neural network for forecasting solar wind speed at L1
Dattaraj B. Dhuri, Shravan M. Hanasoge, Harsh Joon +3
The solar wind, accelerated within the solar corona, sculpts the heliosphere and continuously interacts with planetary atmospheres. On Earth, high-speed solar-wind streams may lead…
A systematic study of hot O production and escape from Martian atmosphere in response to enhanced EUV Irradiance from Solar Flares
Chirag Rathi, Dimitra Atri, Dattaraj B. Dhuri
The study of the evolution of Martian atmosphere and its response to EUV irradiation is an extremely important topic in planetary science. One of the dominant effects of atmospheri…
Expanding Mars Climate Modeling: Interpretable Machine Learning for Modeling MSL Relative Humidity
Nour Abdelmoneim, Dattaraj B. Dhuri, Dimitra Atri +1
For the past several decades, numerous attempts have been made to model the climate of Mars with extensive studies focusing on the planet's dynamics and the understanding of its cl…
An Explainable Deep-learning Model of Proton Auroras on Mars
Dattaraj B. Dhuri, Dimitra Atri, Ahmed AlHantoobi
Proton auroras are widely observed on the dayside of Mars, identified as a significant intensity enhancement in the hydrogen Lyman alpha (121.6 nm) emission between 110 - 150 km al…
Auroras on Mars: from Discovery to New Developments
Dimitra Atri, Dattaraj B. Dhuri, Mathilde Simoni +1
Auroras are emissions in a planetary atmosphere caused by its interactions with the surrounding plasma environment. They have been observed in most planets and some moons of the so…
Deep learning reconstruction of sunspot vector magnetic fields for forecasting solar storms
Dattaraj B. Dhuri, Shamik Bhattacharjee, Shravan M. Hanasoge +1
Solar magnetic activity produces extreme solar flares and coronal mass ejections, which pose grave threats to electronic infrastructure and can significantly disrupt economic activ…
Diurnal variation of the surface temperature of Mars with the Emirates Mars Mission: A comparison with Curiosity and Perseverance rover measurements
Dimitra Atri, Nour Abdelmoneim, Dattaraj B. Dhuri +1
For the first time, the Emirates Mars Infrared Spectrometer (EMIRS) instrument on board the Emirates Mars Mission (EMM) "Hope", is providing us with the temperature measurements of…
Measuring frequency and period separations in red-giant stars using machine learning
Siddharth Dhanpal, Othman Benomar, Shravan Hanasoge +4
Asteroseismology is used to infer the interior physics of stars. The \textit{Kepler} and TESS space missions have provided a vast data set of red-giant light curves, which may be u…
Application and interpretation of deep learning for identifying pre-emergence magnetic-field patterns
Dattaraj B. Dhuri, Shravan M. Hanasoge, Aaron C. Birch +1
Magnetic flux generated within the solar interior emerges to the surface, forming active regions (ARs) and sunspots. Flux emergence may trigger explosive events, such as flares and…
Supervised convolutional neural networks for classification of flaring and nonflaring active regions using line-of-sight magnetograms
Shamik Bhattacharjee, Rasha Alshehhi, Dattaraj B. Dhuri +1
Solar flares are explosions in the solar atmosphere that release intense bursts of short-wavelength radiation and are capable of producing severe space-weather consequences. Flares…
Machine learning reveals systematic accumulation of electric current in lead-up to solar flares
Dattaraj B. Dhuri, Shravan M. Hanasoge, Mark C. M. Cheung
Solar flares - bursts of high-energy radiation responsible for severe space-weather effects - are a consequence of the occasional destabilization of magnetic fields rooted in activ…
Numerical analysis of the lattice Boltzmann method for simulation of linear acoustic waves
Dattaraj B. Dhuri, Shravan M. Hanasoge, Prasad Perlekar +1
We analyse a linear lattice Boltzmann (LB) formulation for simulation of linear acoustic wave propagation in heterogeneous media. We employ the single-relaxation-time Bhatnagar-Gro…