Harshita Gandhi

Masters in Physics and Astrophysics

 Harshita Gandhi

Postgraduate

Department of Physics

Contact Details

Solar Physicist

I sometimes take on role of IER invigilator whenever required. 

In the endeavor to deepen our understanding of the Sun,  my research focuses on the meticulous analysis of solar phenomena through the lens of state-of-the-art space-based telescopes. By examining both coronagraph images, which capture the Sun's outer atmosphere, and solar disk images, which detail its surface and immediate atmospheric layers, I delve into the intricate dynamics of Coronal Mass Ejections (CMEs). These colossal solar eruptions play a pivotal role in shaping space weather, a field of study that bridges our cosmic environment with tangible impacts on Earth and its technological infrastructure.

CMEs, vast expulsions of plasma and magnetic fields from the Sun's corona, represent a fundamental aspect of solar physics with profound implications for our planet. The interaction of these eruptions with the Earth's magnetosphere can lead to geomagnetic storms, disrupting satellite operations, communication systems, and power grids, thereby underscoring the critical need for accurate space weather forecasting.

To enhance the precision and timeliness of these forecasts, my work incorporates advanced machine learning techniques. By harnessing the power of artificial intelligence, I aim to revolutionize the detection and analysis of solar eruptions. This innovative approach promises to refine our predictive capabilities and contributes to safeguarding our increasingly technology-dependent society against the capricious nature of space weather.

Through this sophisticated synergy of observational astronomy and computational intelligence, my research endeavors to contribute significantly to our comprehension of the Sun's influence on space weather. Ultimately, this work seeks to fortify our preparedness for the impacts of solar activity on Earth's technological landscape, ensuring a more resilient future against the vagaries of our dynamic space environment.

CNN-Based Model for 3D CME Parameter Prediction: A Proof of Concept. / Gandhi, Harshita; Morgan, Huw; Thomas, Cory.
In: Journal of Geophysical Research: Machine Learning and Computation, Vol. 2, No. 4, e2025JH000858, 31.12.2025.

Research output: Contribution to journalArticlepeer-review

Linking Critical Heights in Solar Active Regions with 3D Coronal Mass Ejection Speeds: Insights from Automated and Manual Polarity Inversion Line Detection Methods. / Gandhi, Harshita; James, Alexander W.; Morgan, Huw et al.
In: The Astrophysical Journal, Vol. 983, No. 2, 103, 11.04.2025.

Research output: Contribution to journalArticlepeer-review

Linking Magnetic Field Diagnostics with 3D Coronal Mass Ejection Speeds in Solar Active Regions. / Gandhi, Harshita; Morgan, Huw.
In: The Astrophysical Journal, Vol. 995, No. 2, 20.12.2025.

Research output: Contribution to journalArticlepeer-review

Correcting Projection Effects in CMEs Using GCS-Based Large Statistics of Multi-Viewpoint Observations. / Gandhi, Harshita (Lead Author); Patel, Ritesh; Pant, Vaibhav et al.
In: Space Weather, Vol. 22, No. 2, e2023SW003805, 19.02.2024.

Research output: Contribution to journalArticlepeer-review

More publications on the Research Portal