Catalogue of 183 Spectral Features
Complete annotated list of the 183 spectroscopic features used in AstroSpectro (PHY-3500 x LAMOST DR5 x Gaia DR3), organised by physical family.
6 docs tagged with "pca"
View all tagsDimensionality Reduction — PCA, UMAP, t-SNE
Complete comparison of three dimensionality reduction methods on 43,019 LAMOST DR5 stellar spectra: PCA (linear), UMAP (topological) and t-SNE (probabilistic). Hyperparameters, results, Procrustes stability and HDBSCAN clusters.
Key Results at a Glance
AstroSpectro's most important metrics and scientific findings.
PCA vs UMAP vs AE — Comparison
Systematic comparison of PCA, UMAP, t-SNE, and autoencoder applied to AstroSpectro.
Physical Interpretation of PCA
Detailed analysis of PCA principal axes applied to the 183 LAMOST DR5 features: explained variance, raw flux eigenspectra, loadings by spectral family, Gaia DR3 correlations and HR diagram.
Results Analysis
AstroSpectro results in two separate studies: unsupervised dimensionality reduction (PCA, UMAP, t-SNE, HDBSCAN) on the PHY-3500 dataset (G1, 43,019 spectra), and the reference XGBoost classifier with its SHAP attribution on the 350k-spectrum generation (G2, run v6, which includes Gaia/photometric features).