| --- |
| license: cc-by-4.0 |
| tags: |
| - physics |
| - lattice-field-theory |
| - monte-carlo |
| - phase-transition |
| pretty_name: 2D phi^4 lattice field configurations |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # 2D φ⁴ lattice field configurations |
|
|
| Monte Carlo configurations of the two-dimensional scalar φ⁴ theory on periodic square |
| lattices, generated for training and benchmarking generative models (score-based |
| diffusion), and for unsupervised-learning studies of the phase transition (PCA). |
|
|
| ## Physics |
|
|
| Lattice action in the hopping-parameter form |
|
|
| $$S[\phi] = \sum_x \Big[ -2\kappa \sum_{\mu=1,2} \phi_x \phi_{x+\hat\mu} + (1-2\lambda)\phi_x^2 + \lambda \phi_x^4 \Big]$$ |
|
|
| with quartic coupling fixed at λ = 0.022. The three hopping parameters straddle the |
| phase transition (κ_c ≈ 0.2708 for this λ): |
| |
| | κ | phase | |
| |---|---| |
| | 0.26 | symmetric (disordered) | |
| | 0.2705 | near-critical | |
| | 0.28 | broken (ordered) | |
| |
| ## Files |
| |
| 15 `.npz` files, one per (κ, L) pair: |
| |
| ``` |
| cfgs_wolff_fahmc_k=<kappa>_l=0.022_<L>^2.npz, L ∈ {8, 16, 32, 64, 128} |
| ``` |
| |
| Each file contains 10240 independent configurations. Keys: |
| |
| | key | content | |
| |---|---| |
| | `cfgs` | float64 array, shape (10240, L, L) | |
| | `κ`, `λ` | hopping parameter, quartic coupling | |
| | `N`, `n_samples` | lattice size L, number of configurations | |
| | `acc_rate` | HMC acceptance rate | |
| | `ε_final` | final tuned HMC step size | |
| |
| Total size ≈ 5 GB (the L=128 files are 1.3 GB each). |
| |
| ## Generation |
| |
| Sampled with alternating Wolff cluster updates and Fourier-accelerated HMC |
| (`wolff_fahmc`), which keeps autocorrelations short even near criticality. |
| Configurations within a file are saved after thermalization and thinned so they are |
| effectively independent. |
| |
| ## Usage |
| |
| ```python |
| import numpy as np |
|
|
| d = np.load("cfgs_wolff_fahmc_k=0.2705_l=0.022_32^2.npz") |
| phi = d["cfgs"] # (10240, 32, 32) |
| M = phi.mean(axis=(1, 2)) # per-configuration magnetization |
| ``` |
| |
| `pca_phi4.py` reproduces the PCA analysis figures (`pca_phi4_L32.png`, |
| `pca_phi4_L128.png`): the PCA spectrum equals the sorted momentum-space propagator |
| G(k) = ⟨|φ(k)|²⟩, PC1 = L·M is the magnetization mode, and PC2–PC5 span the |
| lowest-momentum plane-wave quadruplet. |
|
|