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| 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. | |