🔬 Supernova Cosmology (IAS SRFP 2024)

During my third year of undergraduate studies, I was selected for the Indian Academy of Sciences Summer Research Fellowship Program (IAS SRFP 2024), where I worked under the guidance of Dr. D. Narasimha at IIT Dharwad. My project focused on supernova cosmology, where I performed spectral analysis of Type Ia supernovae using data from the CfA Supernova Archive. I analyzed spectral features to determine Doppler shifts and velocities, and calculated parameters such as full width at half maximum (FWHM) and equivalent width of absorption lines. In addition to spectral analysis, I studied the photometric light curves of supernovae across multiple bands (U, B, V, R, I) to estimate their peak brightness.

title: “☀️ Solar Terrestrial Relations” excerpt: “Time series and machine learning analysis of solar and geomagnetic activity for Solar Cycle prediction.” collection: portfolio —

As part of my final-year undergraduate project, I worked on analyzing solar and geomagnetic activity and predicting future solar cycles using statistical and machine learning methods. In the first part of the project, I studied the relationship between solar indices (such as sunspot number and F10.7 flux) and geomagnetic indices (Kp and Ap) using time series analysis, Fourier transform, and wavelet analysis. I also applied cross-correlation and running correlation techniques to investigate the connection between solar activity and geomagnetic disturbances over the period 1932 to 2020. In the second part of the project, I focused on predicting Solar Cycle 25 using time series forecasting models such as ARIMA and SARIMA, as well as machine learning models like LSTM. Additionally, I performed statistical modelling of solar cycles from Cycle 1 to Cycle 25 to extract parameters such as skewness, kurtosis, and cycle width, and used these to compare different solar cycles. The data for this work was obtained from the GFZ Potsdam Observatory and the Solar Influence Data Analysis Center (SIDC).