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Physical Interpretation

The central question — do DINOv2 features encode physical galaxy properties? — is tested by correlating the representation with independent measurements: morphometry (from the images) and SDSS colour (from a separate survey).

Key results​

0.53
PC2 × Gini (ρ)
second component of zero-shot DINOv2 features
0.30
PC2 × g−r (ρ)
SDSS colour, zero-shot features
0.44
R² predicting g−r
Lasso, cross-validated, 768 features
−0.045
Bulge fraction × g−r (ρ)
U-Net masks · essentially null
Provenance. Model scores in this section are copied from the output cells of the AstroVision notebooks (and, for DINOv2 per-class recall, read from an exported figure). The documentation data pack contains no metrics file for them, so they cannot be re-derived from the pack; the cell of origin is listed for each value in _facts/astrovision/FACTS_INDEX.md §3 and shown when hovering over a number.

1 — The principal axes of DINOv2 features​

On the 4,999 galaxies with morphometry, the second principal component of the zero-shot features (PCA on L2-normalised vectors) correlates with several statistics at once: Gini (ρ = 0.53), smoothness S (0.45) and, with SDSS, g−r (0.30). PC2 carries 13.2% of the feature variance and PC1 22.3%.

How to read this

These are rank correlations of moderate size, obtained without any astronomical training of the backbone, which is the interesting part. They are consistent with the picture that concentration and colour covary along the Hubble sequence, so a feature axis that tracks morphology will correlate with both. The analysis does not control for class label, so it cannot separate "DINOv2 encodes colour" from "DINOv2 encodes morphology, which correlates with colour". Values for PC2 are read from the exported figure.

2 — Predicting colour​

A Lasso regression of g−r on the 768 zero-shot features gives R² = 0.443 ± 0.103 across folds (315 of 768 coefficients non-zero) on 17,430 galaxies. Colour is therefore partly recoverable from visual features; more than half of its variance is not. Older descriptions quote R² = 0.536, which does not appear in the notebook output and is not used here.

3 — Colour across morphology​

ClassMedian g−rBlue cloudRed sequence
0 · Disturbed0.58561%26%
1 · Merging0.89128%58%
2 · Round Smooth0.90623%63%
3 · In-between Round Smooth0.86726%58%
4 · Cigar Shaped Smooth0.76543%33%
5 · Barred Spiral0.75648%20%
6 · Unbarred Tight Spiral0.67965%14%
7 · Unbarred Loose Spiral0.64071%12%
8 · Edge-on without Bulge0.67058%17%
9 · Edge-on with Bulge0.9703%85%
Source: data/synthesis_summary_table.csv.

The astrophysical expectations hold: smooth and edge-on-with-bulge galaxies are mostly red, loose and tight spirals mostly blue. Disturbed galaxies are mostly blue (61%) while Merging ones are mostly red (58%), which is not what a simple "interaction triggers star formation" picture predicts; colour is a coarse photometric proxy and classes are crowd-sourced.

4 — U-Net bulge fraction: a null result​

Does the bright-core fraction from the U-Net track stellar population? No:

Spearman ρ with bulge fractionρGalaxies
g−r−0.04517,430
Absolute magnitude Mr−0.1155,651
Redshift z_photo−0.28717,601
Computed from data/master_synthesis.csv.

The median bulge fraction is 0.100 for blue-cloud and 0.100 for red-sequence galaxies — indistinguishable. This is expected, since the "bulge" is a brightness quantile (U-Net page). The stronger correlation with redshift (ρ = −0.29) suggests an angular-size or resolution effect rather than physics.

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PCA(DINOv2) × morphometry
PCA(DINOv2) × morphometry
Spearman ρ between principal components and C, A, S, Gini, M20, Sérsic n.
◎
DINOv2 components × SDSS properties
DINOv2 components × SDSS properties
Spearman ρ with g−r, u−r, Mr, z.
◎
UMAP coloured by SDSS property
UMAP coloured by SDSS property
Zero-shot DINOv2 features, sub-sample of galaxies.
◎
Predicting g−r from DINOv2
Predicting g−r from DINOv2
Regression results.
◎
U-Net bulge fraction versus colour
U-Net bulge fraction versus colour
Synthesis notebook.

Summary of claims​

ClaimSupportStrength
DINOv2 zero-shot features correlate with Gini, S and g−rSpearman ρ, moderate (section 1)Suggests a shared morphology–colour axis; confounded by class
g−r is partly predictable from the featuresLasso, cross-validated R² (section 2)Moderate
Bulge fraction (U-Net) tracks stellar populationρ close to 0 (section 4)Not supported
Visual features encode metallicityno spectroscopic dataUntested