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SRS — Stimulated Raman Scattering microscopy L1-139

SpectroscopyBackground-free coherent vibrational microscopyδ=3 · standardL_DAG = 3📋 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

Delta_I_p / I_p = -\sigma_SRS(Omega) \cdot N(r) \cdot I_s \cdot L_z

Stimulated Raman scattering uses two synchronized pulses (pump at omega_p, Stokes at omega_s) with Omega = omega_p - omega_s matching a vibrational mode; the pump experiences stimulated loss (SRL) while Stokes gains (SRG), both proportional to Im[chi^(3)]. Detection via high-frequency lock-in amplification (>1 MHz) of modulated Stokes/pump gives SNR bounded by laser shot noise only (no non-resonant background).

L-DAG

L.beat.twocolor -> S.nonlinear.chi3 -> L.modulate.highfreq -> int.temporal
L.beat.twocolorS.nonlinear.chi3L.modulate.highfreqint.temporal

Well-posedness W

Existence:
true
Uniqueness:
linear in N(r) — direct unmixing
Stability:
stable
κ:
50

SRS is linear in concentration, unlike CARS (|chi|^2). No non-resonant background. Signal is shot-noise limited; SNR scales as sqrt(I_p * I_s * tau).

Solvability C

Solver class:
Linear regression (CLS), hyperspectral deconvolution, spectral-focusing chirp decoding, learned denoisers
Convergence rate q:
2
Complexity:
CLS O(H*W*K*N_omega); spectral-focusing deconvolution O(H*W*N_omega*log)

Specs (0)

No L2 specs registered yet for this principle.