The Python module that used to measure the environment-dependent Wavelet Power Spectrum (env-WPS) of the cosmic density field.
Application of Signal Processing techniques and Continuous Wavelet Transform (CWT) using Machine Learning
The codes for computing the scale-dependent peak height function and the scale-dependent valley depth function of the cosmic-log density field.
The codes used to explore the dynamical and thermodynamic origins of the missing baryon problem with the IllustrisTNG50-1 simulation
[Personal Research Side Project] - Project: Deployed app which detected various types of noise using continuous wavelet transform
Advanced ML pipeline that detects gravitational wave signals in LIGO noise data through continuous wavelet transform preprocessing and LSTM autoencoder anomaly detection. Validated on H1-O4 run detector data with strong performance metrics.
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