fjaellet/xgboost_chem_ages

How fjaellet/xgboost_chem_ages works

This repository publishes spectroscopic age estimates for APOGEE DR17 red-giant stars, produced by training XGBoost on stars with asteroseismic ages and applying the model to APOGEE data. Its documented workflow also includes independent catalogue comparisons and age–chemokinematics analyses. The README describes these notebook workflows and the published catalogue; only py/utils.py was sampled, so implementation details and notebook-to-notebook calls are not verified.

Main entry points: train_xgboost_miglio2021.ipynb XGBoost age training · train_xgboost_miglio2021_quantileregression.ipynb Quantile age training · spec_ages_published.fits Published age catalogue · test_age_catalogues.ipynb Age catalogue comparisons

Components 12

Age estimation

Asteroseismic training data data
APOGEE DR17 data data
XGBoost age training py/train_xgboost_miglio2021.ipynb
Quantile age training py/train_xgboost_miglio2021_quantileregression.ipynb
Trained models py/models
Published age catalogue data/spec_ages_published.fits

Catalogue validation

Independent age datasets data
Age catalogue comparisons py/test_age_catalogues.ipynb

Science analysis

Age analysis data data
Age–chemokinematics analysis py/test_ages_science.ipynb
Analysis utilities py/utils.py

Other components

Researcher

Connections 15

Researcher → XGBoost age training: runs training README.md
Researcher → Quantile age training: runs training README.md
XGBoost age training → Asteroseismic training data: uses training set README.md
XGBoost age training → APOGEE DR17 data: predicts ages README.md
Quantile age training → Asteroseismic training data: uses training set README.md
Quantile age training → APOGEE DR17 data: predicts ages README.md
XGBoost age training → Trained models: trains XGBoost README.md
XGBoost age training → Published age catalogue: produces catalogue README.md
Quantile age training → Published age catalogue: produces estimates README.md
Researcher → Age catalogue comparisons: runs comparisons README.md
Age catalogue comparisons → Published age catalogue: compares estimates README.md
Age catalogue comparisons → Independent age datasets: compares against README.md
Researcher → Age–chemokinematics analysis: runs analysis README.md
Age–chemokinematics analysis → Published age catalogue: analyses ages README.md
Age–chemokinematics analysis → Age analysis data: analyses relations README.md

More Jupyter Notebook diagrams: huggingface/setfit · genieincodebottle/generative-ai · krishnaik06/complete-python-bootcamp · https-deeplearning-ai/tensorflow-1-public · romeokienzler/tensorflow

Drawn by GitDiagram on October 1, 2026 from the repository's file tree, README and source files. Read as Markdown ·

How fjaellet/xgboost_chem_ages works

Connections 15

Researcher → XGBoost age training: runs training README.md
Researcher → Quantile age training: runs training README.md
XGBoost age training → Asteroseismic training data: uses training set README.md
XGBoost age training → APOGEE DR17 data: predicts ages README.md
Quantile age training → Asteroseismic training data: uses training set README.md
Quantile age training → APOGEE DR17 data: predicts ages README.md
XGBoost age training → Trained models: trains XGBoost README.md
XGBoost age training → Published age catalogue: produces catalogue README.md
Quantile age training → Published age catalogue: produces estimates README.md
Researcher → Age catalogue comparisons: runs comparisons README.md
Age catalogue comparisons → Published age catalogue: compares estimates README.md
Age catalogue comparisons → Independent age datasets: compares against README.md
Researcher → Age–chemokinematics analysis: runs analysis README.md
Age–chemokinematics analysis → Published age catalogue: analyses ages README.md
Age–chemokinematics analysis → Age analysis data: analyses relations README.md

Drawn by GitDiagram on October 1, 2026 from the repository's file tree, README and source files. Read as Markdown ·