A collection of scientific research projects using data science and machine learning.
Machine learning-based discovery of overlooked variable stars in Gaia DR3.
Key Result: Characterized TIC 22888126 as a dwarf nova with a 57-minute orbital period (below the CV period gap) using TESS archival photometry.
- Method: Isolation Forest anomaly detection on Gaia DR3 light curve statistics
- Data: Gaia DR3
vari_summary, TESS FFI photometry, ROSAT X-ray - Status: Draft research note ready for submission
See the research note for details.
Markdown-source knowledge base of computational entry points into longevity and reverse-aging research. 40 curated sources, 32 topics, TF-IDF + wikilink graph index, license-aware download pipeline.
See biology/longevity/README.md for usage.
science/
├── astronomy/
│ └── Gaia-light-curve-anom-detect/
│ ├── Gaia_LightCurve_Anomaly_Detection.ipynb
│ ├── research_note_tic22888126_revised.md
│ └── figs/
├── biology/
│ ├── longevity/
│ │ ├── README.md # full pipeline + usage docs
│ │ ├── sources.json # 40-source manifest
│ │ ├── scripts/ # download, convert, index, lint, licenses
│ │ └── wiki/ # papers/, topics/, analysis/, index.md
│ └── LICENSES.md # generated; per-source license table
└── README.md
- Python 3.10+
- astroquery
- astropy
- scikit-learn
- matplotlib
- pandas
- numpy
MIT