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| |
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| name: heterogeneous_waves_v3_candidate |
| system: heterogeneous_waves |
| data: ${WAVES_DATA} |
| truth_bank: ${WAVES_TRUTH_BANK} |
| expected_sha256: {trajectories_fine.npz: 4211aa62b2e6e61066519396e20bdf0a3b002b02a27641dd39031cbb680c9e53, split.json: ccb5fb3fba13a8f0e5528c3757fb54ba4044ca180328da99a53b58fbf6b8e88c, |
| normalization.npz: 23123f0b0547197bbd6275ac4a34d894a91ab98e4f1810b80416f6b891d67cb7, u_norm/normalization.npz: 55e9a00ddcf36eece80a88bf1f012026f4934989ae8a2969b1cdcb5c78228d2a, |
| v_norm/normalization.npz: 54441e3917067932261ac67dacb3b15dd76458147d9ff41775d1148b20b06ddf} |
| state: |
| dim: 392 |
| observed: coarse displacement u (196-D, |k| <= 8) and the finite-difference coarse velocity v (196-D); the image metric reads u |
| hidden: the velocity and the band 8 < |k| <= 16 of the initial condition |
| physics: {equation: 'u_t = v, v_t = div(c^2 grad u) - gamma v', c2: '1 + 0.5 sin(2 pi x) sin(2 pi y)'} |
| time_grid: {n_snapshots: 41, dt: 0.025, T: 1.0} |
| package: {vecs_train: [80, 200, 41, 392], vecs_eval: [10, 200, 41, 392]} |
| splits: |
| train: 80 conditions x 200 realizations |
| val: 10 conditions x 200 realizations |
| test: 10 conditions, only in the truth bank (10,000 realizations each) |
| normalization: per-coordinate mean and std of the 80 training conditions x realizations j < 20 x all 41 snapshots, fitted separately for u (u_norm/) and v (v_norm/); normalization.npz is their concatenation |
| fid_adapter: {name: heterogeneous_waves_augmented_coarse, params: {}} |
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