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Dark Matter Direct Detection Inversion L1-486

Particle PhysicsDark matter searchδ=10 · hardL_DAG = 3.5📋 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

dR/dE_R = N_T \cdot rho_DM / (m_DM \cdot m_T) \cdot integral_{v_min}^{inf} v\cdot f(v) \cdot d_\sigma/d_E_R dv

Dark Matter Direct Detection Inversion: Dark matter direct detection: set limits on WIMP-nucleus cross section from observed recoil spectrum. The forward operator produces the measurement through a 3-node primitive DAG (M.recoil.wimp_nucleus…); recovery is posed as a parameter_estimation problem. Difficulty tier delta=10 with effective condition number kappa_eff~1000; halo_model_uncertainty, nuclear_form_factor_uncertainty set the accuracy floor at the Omega boundary. See the forward_model field for the closed-form equation.

L-DAG

N.pointwise -> S.background.rejection_signal_region -> O.likelihood.profile
N.pointwiseS.background.rejection_signal_regionO.likelihood.profile

Well-posedness W

Existence:
true
Uniqueness:
true
Stability:
conditional
κ:
100000

Existence of the recovered WIMP_cross_section_mass is guaranteed within the declared Omega bounds. Uniqueness holds on the measurement-supported subspace; out-of-support modes are controlled by declared priors. Stability is conditionally stable (kappa_eff ~= 1000); halo_model_uncertainty dominates the stability cliff; the remaining mismatch parameters contribute higher-order bias terms. Poisson sets the irreducible data-fidelity floor.

Solvability C

Solver class:
statistical [profile_likelihood_CLs or Bayesian_p_value_xenon]
Convergence rate q:
2
Complexity:
O(N_bins * N_mass_points * N_sigma_points) for exclusion plane per iteration

Specs (0)

No L2 specs registered yet for this principle.