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Vibhavasu's Projects

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Pattern Recognition and Machine Learning

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EP4130 - Spring 2023: This course is a "starters kit" of useful statistical tools needed for analysis of data. It will discuss usage of statistics in Astronomy and Particle Physics and what tools are need to tackle problems in the above fields. However, the same statistical techniques are used in all branches of Physics and Engineering

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My contribution towards building the most complete Optical afterglow catalogue of GRBs

icecube-package icon icecube-package

This repository contains the code used to perform the analysis described in the paper "A stacked search for spatial coincidences between IceCube neutrinos and radio pulsars" (https://arxiv.org/abs/2306.03427). The code is written in Python 3.10 and uses the following packages: numpy, scipy, matplotlib, pandas, numba, multiprocessing.

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Astronomically Accurate Animations - Krittika Summer Project - 2022

project-lp icon project-lp

Lomb Scargle Periodogram of Solar neutrino fluxes observed by Super-K: https://arxiv.org/abs/2402.11258

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Credit Card Fraud Detection using multiple classifiers and imbalance handlers for EE5610 Course

project-qg icon project-qg

This repository contains the code used to perform the analysis described in the paper "Bayesian evidence for spectral lag transition due to Lorentz Invariance Violation for 32 Fermi/GBM Gamma-ray Bursts" (https://www.sciencedirect.com/science/article/pii/S2214404823000460). The code is written in Python 3.10

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