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Brillouin Microscopy (acousto-optic inelastic scattering) L1-142

SpectroscopyMechanical-property hyperspectral microscopyδ=3 · standardL_DAG = 2.7📋 Stub — not mineable
📋

Unclaimed Principle — open for contribution

This Principle is declared in the catalog but has no reference solver, no pinned dataset, and is not registered on-chain. There is no reward pool. Submitting a cert against this Principle today will record the cert for reproducibility but pay zero PWM.

To claim it as a Bounty #7 contribution: open a PR adding (1) a reference solver, (2) ≥1 dataset pinned to IPFS, (3) updates to the L3 manifest with dataset CIDs. After verifier-agent triple-review, the founders' 3-of-5 multisig signs PWMRegistry.register() and the Principle becomes mineable.

Forward model E

Thermally-populated acoustic phonons at frequency f_B = 2*n*V*sin(theta/2)/lambda scatter incident photons inelastically via Bragg condition. Brillouin shift f_B (GHz) encodes elastic modulus M = rho*V^2. A narrow-linewidth laser (~1 MHz) + high-resolution spectrometer (VIPA/FPA/triple Tandem Fabry-Perot) resolves the Brillouin peak.

L-DAG

S.scatter.inelastic -> L.disperse.spectral -> int.temporal
S.scatter.inelasticL.disperse.spectralint.temporal

Well-posedness W

Existence:
true
Uniqueness:
peak-fitting unique for single-component voxel; multi-component voxels are mixtures
Stability:
conditional
κ:
100

Lorentzian peak fitting well-posed at SNR > 10 dB; multi-component mixing requires broader-peak modeling. Mismatch: elastic anisotropy, thermal drift, refractive-index uncertainty.

Solvability C

Solver class:
Lorentzian nonlinear LS fit, Voigt fit, Bayesian peak fit, max-likelihood, learned (BrillouinNet CNN)
Convergence rate q:
2
Complexity:
Fit O(H*W*Z*iter); learned O(H*W*Z*N_f*F) single forward

Specs (0)

No L2 specs registered yet for this principle.