IID standard Gaussian noise --- bell-curve density centered at zero, the baseline null model for continuous-valued signals
Standard analysis sees: high-complexity (noise-like); high-dimensional / space-filling. The atlas detects no named structure beyond this.
Nothing beyond the standard reading — this source’s structure is already captured by standard features; the atlas adds no named residual.









_(centered)/signed_log_z/Gaussian_Noise.png)
_(centered)/xy_path/Gaussian_Noise.png)

/barcode/Gaussian_Noise.png)
/d_curve/Gaussian_Noise.png)








/phi_spectrum/Gaussian_Noise.png)










/default/Gaussian_Noise.png)
/default/Gaussian_Noise.png)


| Nearest neighbor | Distance | |
|---|---|---|
| Neural Net (Dense) | 2.55 | cross-origin |
| Blue Noise | 2.57 | |
| Entanglement Entropy | 2.60 | cross-origin |
Attractor Reconstruction › Attractor Reconstruction:embedding_spread_dimension | rank 1/307 | 4.2978 |
Attractor Reconstruction › Attractor Reconstruction:kaplan_yorke_dim | rank 5/307 | 5.4974 |
Higher-Order Statistics › Higher-Order Statistics:kurt_max | rank 303/307 | 0.0757 |