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41dd7e0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # Heterogeneous waves: the package `heterogeneous_waves_v3_candidate` (augmented state (u, v), 392-D). Set WAVES_DATA
# and WAVES_TRUTH_BANK. The ten test conditions are only in the truth bank (their x_0 is read from it).
#
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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