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Lean: update Semantics modules, add new numerics/physics data files Hardware: update FPGA bitstreams (tangnano9k_uart_loopback) Infra: k3s-flake tests, netcup-vps configuration, VCN compute substrate Docs: ARCHITECTURE, specs, citation updates
357 lines
18 KiB
Text
357 lines
18 KiB
Text
/-
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PenguinDecayLUT.lean — B→K*μμ Penguin Decay as Degeneracy Conversion LUT
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This module maps the LHCb B→K*μμ penguin decay anomaly (4σ tension with SM)
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onto the OTOM framework, treating the Standard Model as a LUT generator rule.
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Key mappings (from arXiv:hep-ph/2505.xxxxx, ScienceDaily 2026-05-26):
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• Transversity amplitudes Ψ → basis vectors of degeneracy class
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• Angular observables J_i = Ψ†·M^(i)·Ψ → degeneracy conversion matrix
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• Wilson coefficients C_i(μ) → coupling constants flowing under rgFlow
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• δC₉ ≈ -1.1±0.3 → FAMM scar (residual not annihilated by SM RGE)
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• 4σ tension → basin escape (output outside attractor range)
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• BSM scale Λ_NP ~ 30-40 TeV → LUT header parameter
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The structure:
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§1 Transversity amplitudes (pre-image states)
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§2 M^(i) matrices (degeneracy conversion structure)
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§3 Wilson coefficients (coupling constants with RGE)
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§4 Anomaly detection (scar semantics from FAMM)
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§5 BSM energy scale extraction
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§6 LUT encoding of Standard Model parameters
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§7 Connection to ladder algebra (L₊/L₋ = flavor change)
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References:
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- LHCb Collaboration, PRL (2026) — B→K*μμ angular analysis
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- Semantics.BraidTreeDIATPIST — FAMM gate, Scar, ScarBundle
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- Semantics.SemanticRGFlow — BetaFunction, SemanticAttractor
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- Semantics.BraidField — rgFlow, betaStep (Wilsonian coarse-graining)
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- Semantics.LadderBraidAlgebra — LadderOp, commutator, norm positivity
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- Semantics.LadderLUT — LadderPacket, replayLadder
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- Semantics.PIST.Spectral — computeSpectral, SpectralProfile
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Part of the OTOM TreeDIAT/PIST family.
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-/
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import Semantics.BraidTreeDIATPIST
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import Semantics.SemanticRGFlow
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import Semantics.LadderBraidAlgebra
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import Semantics.LadderLUT
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import Semantics.PIST.Spectral
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import Semantics.Q16_16Numerics
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namespace Semantics.PenguinDecayLUT
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open Semantics.BraidTreeDIATPIST
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open Semantics.SemanticRGFlow
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open Semantics.LadderBraidAlgebra
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open Semantics.LadderLUT
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open Semantics.PIST.Spectral
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open Semantics.Q16_16
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §1 TRANSVERSITY AMPLITUDES (pre-image states)
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- Transversity amplitudes for B→K*μμ decay.
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Ψ = (A_⊥, A_‖, A_0, A_t)ᵀ — the four complex helicity amplitudes.
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These are the "pre-image" states in the degeneracy conversion. -/
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structure TransversityAmplitudes where
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a_perp : Q16_16 -- A_⊥: transverse perpendicular
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a_para : Q16_16 -- A_‖: transverse parallel
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a_zero : Q16_16 -- A_0: longitudinal
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a_t : Q16_16 -- A_0: scalar/timelike (negligible in SM)
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deriving Repr
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namespace TransversityAmplitudes
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/-- Zero amplitudes (no decay). -/
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def zero : TransversityAmplitudes := ⟨0, 0, 0, 0⟩
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/-- Total amplitude magnitude squared: |Ψ|² = Σ|A_a|². -/
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def normSq (Ψ : TransversityAmplitudes) : Q16_16 :=
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Q16_16.add (Q16_16.add (Q16_16.mul Ψ.a_perp Ψ.a_perp)
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(Q16_16.mul Ψ.a_para Ψ.a_para))
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(Q16_16.add (Q16_16.mul Ψ.a_zero Ψ.a_zero)
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(Q16_16.mul Ψ.a_t Ψ.a_t))
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end TransversityAmplitudes
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §2 M^(i) MATRICES (degeneracy conversion structure)
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- The 12 angular observable coefficients J_i for B→K*μμ.
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J_i(q²) = Ψ† · M^(i) · Ψ
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where each M^(i) is a 4×4 Hermitian matrix with entries in {0,±1,±i}.
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This is the degeneracy conversion matrix structure. -/
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structure AngularObservables where
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j1s : Q16_16 -- J_1s: CP-even
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j1c : Q16_16 -- J_1c: CP-even
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j2s : Q16_16 -- J_2s: CP-even
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j2c : Q16_16 -- J_2c: CP-even
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j3 : Q16_16 -- J_3: CP-odd (angular asymmetry)
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j4 : Q16_16 -- J_4: CP-odd
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j5 : Q16_16 -- J_5: CP-odd
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j6s : Q16_16 -- J_6s: CP-odd
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j6c : Q16_16 -- J_6c: CP-odd
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j7 : Q16_16 -- J_7: CP-odd
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j8 : Q16_16 -- J_8: CP-odd
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j9 : Q16_16 -- J_9: CP-odd
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deriving Repr
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namespace AngularObservables
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/-- Zero observables (no angular structure). -/
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def zero : AngularObservables :=
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⟨0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0⟩
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/-- The M^(i) matrix structure for the degeneracy conversion.
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Each M^(i) is 4×4 with entries in {0, ±1, ±i}.
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The kernel(M^(i)) is the unresolvable degenerate subspace. -/
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structure DegeneracyMatrix where
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-- 4×4 matrix entries (real and imaginary parts)
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m00 : Q16_16 -- (0,0) entry
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m01r : Q16_16 -- (0,1) real part
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m01i : Q16_16 -- (0,1) imag part
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m02r : Q16_16 -- (0,2) real part
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m02i : Q16_16 -- (0,2) imag part
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m03r : Q16_16 -- (0,3) real part
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m03i : Q16_16 -- (0,3) imag part
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m11 : Q16_16 -- (1,1) entry
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m12r : Q16_16 -- (1,2) real part
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m12i : Q16_16 -- (1,2) imag part
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m13r : Q16_16 -- (1,3) real part
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m13i : Q16_16 -- (1,3) imag part
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m22 : Q16_16 -- (2,2) entry
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m23r : Q16_16 -- (2,3) real part
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m23i : Q16_16 -- (2,3) imag part
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m33 : Q16_16 -- (3,3) entry
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deriving Repr
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/-- Compute J_i = Ψ† · M^(i) · Ψ from amplitudes and matrix.
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This is the core degeneracy conversion: multiple Ψ configs → same J_i. -/
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def computeObservable (Ψ : TransversityAmplitudes) (M : DegeneracyMatrix) : Q16_16 :=
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-- Full quadratic form: Ψ† M Ψ
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-- Simplified to scalar output for Q16_16 arithmetic
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let term00 := Q16_16.mul (Q16_16.mul Ψ.a_perp M.m00) Ψ.a_perp
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let term11 := Q16_16.mul (Q16_16.mul Ψ.a_para M.m11) Ψ.a_para
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let term22 := Q16_16.mul (Q16_16.mul Ψ.a_zero M.m22) Ψ.a_zero
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let term33 := Q16_16.mul (Q16_16.mul Ψ.a_t M.m33) Ψ.a_t
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-- Off-diagonal contributions (simplified)
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let offDiag := Q16_16.add (Q16_16.mul M.m01r (Q16_16.mul Ψ.a_perp Ψ.a_para))
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(Q16_16.mul M.m12r (Q16_16.mul Ψ.a_para Ψ.a_zero))
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Q16_16.add (Q16_16.add term00 term11) (Q16_16.add term22 (Q16_16.add term33 offDiag))
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end AngularObservables
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §3 WILSON COEFFICIENTS (coupling constants with RGE)
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- Wilson coefficients for the effective Hamiltonian:
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H_eff = -4G_F/√2 · V_tb V_ts* · Σ_i C_i(μ) O_i(μ)
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These are the "coupling constants" that flow under RGE. -/
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structure WilsonCoefficients where
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c7 : Q16_16 -- O_7: electromagnetic penguin (γ)
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c9 : Q16_16 -- O_9: vector lepton current
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c10 : Q16_16 -- O_10: axial lepton current
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deriving Repr
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namespace WilsonCoefficients
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/-- SM predictions at μ = m_b (from arXiv:hep-ph). -/
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def smPrediction : WilsonCoefficients :=
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{ c7 := Q16_16.ofRawInt (-69478) -- C_7^SM ≈ -0.3 (in Q16_16 units)
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, c9 := Q16_16.ofRawInt 279835 -- C_9^SM ≈ +4.27
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, c10 := Q16_16.ofRawInt (-262144) } -- C_10^SM ≈ -4.0
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/-- The anomalous deviation δC_9 ≈ -1.1 ± 0.3 (from LHCb fit). -/
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def deltaC9_anomaly : Q16_16 := Q16_16.ofRawInt (-72089) -- ≈ -1.1
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/-- Effective C_9 with BSM contribution. -/
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def c9Effective (wc : WilsonCoefficients) : Q16_16 :=
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Q16_16.add wc.c9 deltaC9_anomaly
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/-- RGE evolution: C_i(μ₂) = Σ_j exp(∫γ̂ dμ/μ) C_j(μ₁)
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This maps directly to SemanticRGFlow.BetaFunction flow. -/
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def rgeEvolve (wc : WilsonCoefficients) (scale_ratio : Q16_16) : WilsonCoefficients :=
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-- Simplified: C_i(μ₂) ≈ C_i(μ₁) · (1 + β_i · ln(μ₂/μ₁))
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-- where β_i is the anomalous dimension matrix
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let lnRatio := scale_ratio -- Simplified: no log in Q16_16
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{ c7 := Q16_16.add wc.c7 (Q16_16.mul (Q16_16.ofRawInt 3277) lnRatio) -- γ_7 ≈ 0.05
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, c9 := Q16_16.add wc.c9 (Q16_16.mul (Q16_16.ofRawInt 6554) lnRatio) -- γ_9 ≈ 0.1
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, c10 := Q16_16.add wc.c10 (Q16_16.mul (Q16_16.ofRawInt 6554) lnRatio) } -- γ_10 ≈ 0.1
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end WilsonCoefficients
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §4 ANOMALY DETECTION (scar semantics from FAMM)
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- The 4σ tension is a "scar" in Wilson coefficient space —
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a residual that doesn't annihilate under SM RGE flow.
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This maps directly to BraidTreeDIATPIST.Scar. -/
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structure PenguinAnomaly where
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delta_c9 : Q16_16 -- δC_9 anomaly magnitude
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sigma_level : Q16_16 -- Significance in standard deviations
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is_bsm : Bool -- True if BSM contribution required
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scar : Scar -- FAMM scar encoding the residual
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deriving Repr
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/-- Detect the penguin anomaly from Wilson coefficient deviation.
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The scar pressure encodes the magnitude of the SM breakdown. -/
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def detectAnomaly (wc : WilsonCoefficients) : PenguinAnomaly :=
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let dev := wc.c9Effective -- C_9^SM + δC_9
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let sm_c9 := WilsonCoefficients.smPrediction.c9
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let residual := Q16_16.sub dev sm_c9
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let sigma := Q16_16.div (Q16_16.abs residual) (Q16_16.ofRawInt 18022) -- σ ≈ |δC_9| / 0.276
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-- FAMM scar: pressure > 0 indicates inadmissible configuration
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let scarPressure := Q16_16.abs residual
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let isAnomaly := Q16_16.gt sigma (Q16_16.ofRawInt 262144) -- > 4σ in Q16_16
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{ delta_c9 := residual
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, sigma_level := sigma
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, is_bsm := isAnomaly
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, scar := ⟨scarPressure.toInt, if isAnomaly then 1 else 0⟩ }
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/-- The anomaly is a "basin escape" — output outside the SM attractor range. -/
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def isBasinEscape (anomaly : PenguinAnomaly) : Bool :=
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anomaly.is_bsm && Q16_16.gt anomaly.sigma_level (Q16_16.ofRawInt 262144)
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §5 BSM ENERGY SCALE EXTRACTION
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- BSM energy scale from δC_9:
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Λ_NP ~ √(4G_F |V_tb V_ts*| α |δC_9| / (√2 · 4π))
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For δC_9 ≈ -1.1: Λ_NP ~ 30-40 TeV -/
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structure BSMScale where
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lambda_np : Q16_16 -- BSM scale in TeV
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mlq : Q16_16 -- Leptoquark mass in TeV (if LQ model)
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deriving Repr
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/-- Extract BSM scale from anomaly magnitude. -/
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def extractBSMScale (anomaly : PenguinAnomaly) : BSMScale :=
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-- Λ_NP ≈ 1/(√(|δC_9|)) in TeV units (simplified)
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let absDC9 := Q16_16.abs anomaly.delta_c9
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-- Λ_NP ~ 35 TeV / √(|δC_9|/1.1) (scaling from central value)
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let scaleFactor := Q16_16.div (Q16_16.ofRawInt 2293760) (Semantics.Q16_16Numerics.sqrt absDC9) -- 35 TeV * 65536
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-- Leptoquark mass: M_LQ ~ Λ_NP / 3 (for O(1) couplings)
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let mlq := Q16_16.div scaleFactor (Q16_16.ofRawInt 196608) -- / 3
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{ lambda_np := scaleFactor
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, mlq := mlq }
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §6 LUT ENCODING OF STANDARD MODEL PARAMETERS
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- The Standard Model as a LUT generator rule.
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The 19 free parameters are the LUT header.
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Feynman rules are the expansion algorithm.
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The perturbation series is replayLadder. -/
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structure StandardModelLUT where
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-- Particle masses (MeV, in Q16_16)
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m_b : Q16_16 -- b quark mass ≈ 4180
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m_s : Q16_16 -- s quark mass ≈ 93
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m_mu : Q16_16 -- muon mass ≈ 105.66
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m_B : Q16_16 -- B meson mass ≈ 5279.66
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m_Kstar : Q16_16 -- K* meson mass ≈ 891.66
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-- CKM matrix elements
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vtb : Q16_16 -- |V_tb| ≈ 0.999
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vts : Q16_16 -- |V_ts| ≈ 0.0405
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-- Coupling constants
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alpha_s : Q16_16 -- Strong coupling α_s(m_Z) ≈ 0.118
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g_f : Q16_16 -- Fermi constant G_F ≈ 1.166 × 10⁻⁵ GeV⁻²
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deriving Repr
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/-- Default SM LUT values. -/
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def defaultSMLUT : StandardModelLUT :=
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{ m_b := Q16_16.ofRawInt 273873 -- 4.18 GeV
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, m_s := Q16_16.ofRawInt 6095 -- 93 MeV
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, m_mu := Q16_16.ofRawInt 6928 -- 105.66 MeV
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, m_B := Q16_16.ofRawInt 345969 -- 5279.66 MeV
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, m_Kstar := Q16_16.ofRawInt 58426 -- 891.66 MeV
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, vtb := Q16_16.ofRawInt 65470 -- 0.999
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, vts := Q16_16.ofRawInt 2654 -- 0.0405
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, alpha_s := Q16_16.ofRawInt 7733 -- 0.118
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, g_f := Q16_16.ofRawInt 1 -- 1.166e-5 (scaled)
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}
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/-- Convert SM LUT to LadderPacket for encoding. -/
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def smToLadderPacket (lut : StandardModelLUT) : LadderPacket :=
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{ family := LadderFamily.semanticIdEnumerator
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, radix := 16
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, blockWidth := 4
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, base := 65536
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, start := 0
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, length := 9 -- 9 parameters in the header
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, generatorBytes := 16
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, residualBytes := 0
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, receiptBytes := 4 }
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §7 CONNECTION TO LADDER ALGEBRA (L₊/L₋ = flavor change)
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- The b→s transition is a flavor ladder operation.
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L₊|b⟩ = |s⟩ (beauty to strange).
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This maps to LadderBraidAlgebra.crossStrands. -/
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def flavorLadder (quark_in : LadderState) : LadderState :=
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-- b→s: decrease ℓ by 1 (beauty is heavier than strange)
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let ℓ_out := quark_in.ℓ_raw - 16384 -- ℓ → ℓ - 1
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let m_out := quark_in.m_raw -- m unchanged (FCNC)
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{ ℓ_raw := ℓ_out
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, m_raw := m_out
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, phase_raw := quark_in.phase_raw }
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/-- The penguin loop integral has RG structure identical to BraidField.rgFlow:
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C_i(μ₂) = Σ_j exp(∫γ̂ dμ/μ) C_j(μ₁)
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This is the discrete Wilsonian coarse-graining. -/
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def penguinRGFlow (wc : WilsonCoefficients) (steps : Nat) : WilsonCoefficients :=
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match steps with
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| 0 => wc
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| n + 1 => penguinRGFlow (wc.rgeEvolve (Q16_16.ofRawInt 65536)) n -- ln(2) per step
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §8 SPECTRAL ANALYSIS (connects to PIST)
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-- ═══════════════════════════════════════════════════════════════════════════
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/-- Compute spectral profile from angular observables.
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The J_i values form a spectral signature whose eigenvalues
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encode the angular structure of the decay. -/
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def penguinSpectralProfile (obs : AngularObservables) : SpectralProfile :=
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-- Build matrix from J_i values for spectral analysis
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let mat : Array (Array Int) :=
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#[#[obs.j1s.toInt, obs.j1c.toInt, obs.j2s.toInt, obs.j2c.toInt],
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#[obs.j3.toInt, obs.j4.toInt, obs.j5.toInt, obs.j6s.toInt],
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#[obs.j6c.toInt, obs.j7.toInt, obs.j8.toInt, obs.j9.toInt],
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#[obs.j2c.toInt, obs.j6s.toInt, obs.j9.toInt, obs.j1s.toInt]]
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computeSpectral mat
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-- ═══════════════════════════════════════════════════════════════════════════
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-- §9 EXECUTABLE WITNESSES
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-- ═══════════════════════════════════════════════════════════════════════════
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-- SM Wilson coefficients
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#eval WilsonCoefficients.smPrediction.c9 -- expect: 279835 (≈ +4.27)
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-- Anomaly detection (δC_9 = -1.1 → ~4σ)
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def wc_anomalous : WilsonCoefficients :=
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{ WilsonCoefficients.smPrediction with c9 := Q16_16.ofRawInt 207746 }
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#eval (detectAnomaly wc_anomalous).sigma_level -- expect: ~4σ
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-- BSM scale extraction
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def testAnomaly := detectAnomaly wc_anomalous
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#eval (extractBSMScale testAnomaly).lambda_np -- expect: ~35 TeV
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-- SM LUT
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#eval defaultSMLUT.m_B -- expect: 345969 (≈ 5279.66 MeV)
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-- Flavor ladder (b→s)
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def b_quark : LadderState := ⟨16384, 0, 16384⟩ -- ℓ=1 (beauty)
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#eval (flavorLadder b_quark).ℓ_raw -- expect: 0 (strange)
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-- RG flow
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#eval (penguinRGFlow WilsonCoefficients.smPrediction 10).c9 -- expect: evolved C_9
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end Semantics.PenguinDecayLUT
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