AstroPhotoZ: Photometric Redshift Estimation
A comprehensive framework for estimating photometric redshifts using Gaussian processes and machine learning techniques, validated on Stripe 82X before applying to wide X-ray fields.
GitHubCheck my projects in astrophysics, machine learning, and interdisciplinary data analysis:
A comprehensive framework for estimating photometric redshifts using Gaussian processes and machine learning techniques, validated on Stripe 82X before applying to wide X-ray fields.
GitHubRecognizing normal vs unusual activities related to Parkinson's using multimodal sensor data from wearables, classifying ten distinct activity classes for early diagnosis.
GitHubCurating and managing radio galaxy datasets from the FIRST survey with labeled morphological classifications (FRI, FRII, compact, bent) for ML training.
GitHubAn ML pipeline for detecting exoplanets from Kepler and TESS data using logistic regression, KNN, and random forest with data augmentation techniques.
GitHubLeveraging ML to predict semiconductor band gaps from crystal structure data using Pymatgen and Matminer for optoelectronics and photovoltaics discovery.
GitHubA signal processing and ML framework to detect and mitigate RFI in radio astronomy, integrating traditional techniques with deep learning including GANs.
GitHubA comprehensive toolkit for managing petabyte-scale astronomical datasets through data mining, ML, and statistical methods with Jupyter notebooks and real SDSS data.
GitHubExploring Neural ODEs for physics and astrophysics — continuous-depth neural networks modeling stellar evolution, gravitational dynamics, and time-dependent phenomena.
GitHubEducational tutorials for radio astronomy data analysis using radio-astro-tools and Astropy — spectral cubes, PV diagrams, moment maps, and parallel processing with Dask.
GitHubA curated guide to essential astronomical tools, datasets, and learning materials across various subdisciplines of astronomy for students and researchers.
GitHubLecture notes, problem sets, and code implementations covering the CMB, large-scale structure formation, and other fundamental topics in modern cosmology.
GitHubComparative study of denoising techniques — classical signal processing vs modern ML approaches — with benchmarks for time-series and spectroscopic observations.
GitHubMonte Carlo simulations of radioactive decay chains in Cython, benchmarked against Numba, Pybind11, C++, Julia, and MATLAB for performance analysis.
GitHub