astronomy-data-analysis

Classfication of Stars, galaxies, and quasars based on their spectral characteristics using Machine Learning models

A Python framework for TESS transit analysis that systematically tests and vets exoplanet candidates through multi-engine diagnostics, strict workspace isolation, and automated validation gates.

Interactive ML web app classifying stars, galaxies, and quasars from SDSS DR17 photometric data using a Random Forest model, deployed with Streamlit.

Demonstration of LSDB and TAPE, prepared for the Rare Gems in Big Data 2024 meeting

Bulk Zwicky Transient Facility Frames Downloader for making astrophotography with ZTF data

Multiwavelength Catalog of Supernova Remnants in the Magellanic Clouds (LMC)

Automated testing architecture (API, RAG, and Machine Learning) for the NOVAML ecosystem. Developed with PyTest, HTTPX, and Pandas, following ISO/IEC/IEEE 29119-3 guidelines and BDD/Gherkin scenarios focused on astronomical data.

Generate a realistic, consistent visual reconstruction of the night sky for a user-specified date and location, matching the established panoramic night-sky style.

🔭 NASA DONKI Astronomy Bot - Sistema completo de monitoramento e análise de eventos astronômicos em tempo real integrado com WhatsApp. Utiliza dados oficiais da NASA DONKI API, análise com IA (Groq Llama 3.1) e interface interativa no WhatsApp com 18 funcionalidades para entusiastas da astronomia.

CREST - a Python library simplifying best practices for observational astronomy.

A fully Bayesian ARIMA model selection framework for astronomical time-series analysis and forecasting.

Pipeline for simplifying analysis and timing of Magnetar data using PRESTO and Python subprocess, built for Magnetar Timing Research Team @ Pulsar Seach Collaboratory

Moon Watch – Crescent Visibility Workstation: PySide6 desktop app predicting when the Ramadan/Eid new crescent is visible, with sky charts, Islamic date forecaster, NASA HORIZONS verification, and a live Sun-Earth-Moon view.