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Scattering Amplitudes and Resonance Poles from Finite-Volume Spectra

Finite-volume levels constrain an elastic amplitude only on the real axis. A resonance pole is obtained in a second step: fit the correlated levels with unitary real-axis parametrizations, reproduce the spectrum through the same quantization condition, then analytically continue each acceptable amplitude along a named path to a named sheet. A pole supported only by one fit form, partial-wave truncation, or threshold convention is model information, not a finite-volume observation.

Required background. Elastic Two-Body Quantization Conditions supplies the spectrum map and branch choice. Moving Frames, Cubic Irreducible Representations, and Partial-Wave Mixing supplies the finite-volume blocks. Resonance Poles, Riemann Sheets, and Unstable States supplies the infinite-volume pole and sheet definitions.

Helpful background. Correlated Fits, Model Selection, and Stability Tests supplies likelihood and alternative-model controls.

For one elastic partial wave, define

t(s)1=K(s)1iρ(s),ρ(s)=2k(s)s,t_\ell(s)^{-1}=K_\ell(s)^{-1}-i\rho(s), \qquad \rho(s)=\frac{2k^*(s)}{\sqrt s},

on the upper physical bank. Then K1K_\ell^{-1} is real for real ss inside the elastic interval and Imt1=ρ\operatorname{Im}t_\ell^{-1}=-\rho, so unitarity is exact for every real fit parameter. This tt_\ell differs by a displayed phase-space factor from the dimensionless a^\widehat a_\ell used on Partial-Wave Unitarity; the invariant check is the same S=e2iδS_\ell=e^{2i\delta_\ell} and the same pole.

Amplitude and continuation convention. The fitted object is a unitary real-axis amplitude in the stated elastic interval; any pole claim also fixes the momentum branch, crossed cut, destination sheet, and residue normalization.

The detailed choices are:

FieldChoice used on this page
Data likelihoodThe primary data vector is the complete set of fitted finite-volume energies; its covariance includes common masses, anisotropy, and scale inputs
Real-axis amplitudet1=K1iρt^{-1}=K^{-1}-i\rho on the upper physical bank; K1K^{-1} is real in the fitted elastic interval
Threshold branchk>0k^*>0 immediately above threshold on the upper bank; the continuation path, crossed cut, and resulting sheet are stated
Pole conventiontII(s)=gpgp/(sps)+regulart_{\rm II}(s)=g_pg_p/(s_p-s)+\text{regular} locally, and sp=MpiΓp/2\sqrt{s_p}=M_p-i\Gamma_p/2 with Γp>0\Gamma_p>0
Fit alternativesAt least two unitary forms and the lowest allowed omitted partial wave are propagated
Claim ceilingFinite-volume data directly support real energies; amplitudes require the quantization hypotheses, and poles additionally require analytic continuation

Two useful elastic families are:

k,2+1cotδ(s)=1a+12rk2+Pk4+k^{*,2\ell+1}\cot\delta_\ell(s) =\frac1{a_\ell}+\frac12r_\ell k^{*2} +P_\ell k^{*4}+\cdots

and a pole-plus-background KK matrix,

K(s)=g2m02s+γ0+γ1(ss0)+.K_\ell(s)=\frac{g^2}{m_0^2-s} +\gamma_0+\gamma_1(s-s_0)+\cdots.

The first is a threshold expansion whose radius is limited by the nearest left-hand or inelastic singularity. The second is a real-axis parametrization; m0m_0 is not automatically the resonance pole mass. Truncating either family is a model choice even though elastic unitarity is exact.

Let the measured spectrum be Eobs\mathbf E^{\rm obs} with covariance CEC_E. For parameters θ\boldsymbol\theta, solve each irrep quantization condition for Epred(θ)\mathbf E^{\rm pred}(\boldsymbol\theta) and minimize

χ2(θ)=(EobsEpred)TCE1(EobsEpred).\chi^2(\boldsymbol\theta)= \big(\mathbf E^{\rm obs}-\mathbf E^{\rm pred}\big)^{\mathsf T} C_E^{-1} \big(\mathbf E^{\rm obs}-\mathbf E^{\rm pred}\big).

Root identities must be tracked continuously. Sorting roots by energy can switch levels at an avoided crossing and make the objective discontinuous; match them by irrep, operator-overlap information, and continuity from a known parameter point.

Converted values of kcotδk\cot\delta are excellent diagnostics but a poor default likelihood. The conversion is nonlinear, branches can jump, and common masses make points from different levels correlated. Fitting energies retains the actual measured variables and permits an unambiguous forward closure test. The underlying elastic spectrum map and its short-range domain are those of Lüscher 1991, §§ 2–4, pp. 535–559.

A complete synthetic closure proceeds as follows:

  1. choose an elastic K(s)K(s), masses, volumes, frames, irreps, and partial waves;
  2. solve the determinant for exact levels and add noise from a frozen correlated covariance;
  3. fit those levels without using the generating parameters;
  4. reproduce held-out roots and real-axis phases; and
  5. continue the fitted alternatives and check whether the generating pole lies in the joint uncertainty region.

This detects wrong zeta functions, roots, covariance, normalizations, and sheets before any physical spectrum is interpreted. The end-to-end lattice strategy is reviewed with explicit finite-volume assumptions by Briceño, Dudek, and Young 2018, §§ II–IV.

For one threshold, the physical branch satisfies k>0k^*>0 on the upper bank and Imk>0\operatorname{Im}k^*>0 below threshold. Crossing that cut gives the adjacent sheet and reverses the momentum branch. Continue the fitted analytic function, not a table of real-axis phase shifts:

tsheet(s)1=K(s)1iρsheet(s),ρII(s)=ρI(s).t_{\rm sheet}(s)^{-1} =K(s)^{-1}-i\rho_{\rm sheet}(s), \qquad \rho_{\rm II}(s)=-\rho_{\rm I}(s).

The pole solves

tII(sp)1=0,sp=Mpi2Γp.t_{\rm II}(s_p)^{-1}=0, \qquad \sqrt{s_p}=M_p-\frac{i}{2}\Gamma_p.

Near a simple pole,

tII(s)=gp2sps+h(s),h(s) regular at sp.t_{\rm II}(s)=\frac{g_p^2}{s_p-s}+h(s), \qquad h(s)\text{ regular at }s_p.

The residue gp2g_p^2 depends on the channel and partial-wave normalization, while sps_p does not. A Breit–Wigner crossing δ=π/2\delta=\pi/2, a peak position, and the bare parameter m0m_0 can differ from MpM_p near thresholds or strong backgrounds. The exact distinctions and sign conventions belong to Resonance Poles, Riemann Sheets, and Unstable States.

Continuation is an ill-conditioned extrapolation away from the data interval. Report the distance from the physical-axis constraints, all thresholds and left-hand structures retained by the ansatz, and the continuation path. A pole stable under resampling but moving strongly between equally acceptable analytic forms is parametrization dominated.

LayerWhat is supportedWhat remains assumed or tested
Euclidean analysisCorrelated real finite-volume levels and overlapsOperator-basis completeness, fit-window and scale systematics
QuantizationReal-axis elastic amplitude in the sampled intervalShort range, elastic domain, frame/irrep map, partial-wave truncation
ParametrizationSmooth unitary interpolation among sampled energiesAnalytic form outside the constrained interval and left-hand structure
ContinuationPole and residue on a declared sheet for that fitted analytic functionStability across forms, threshold branches, continuation distance
Physical interpretationResonant behavior if a stable nearby pole survives the checksProcess-dependent line shape and hadronic interpretation

Adversarial failure. Two unitary forms give indistinguishable levels and real-axis phases, but one has a distant spurious pole that pulls the continued resonance by several widths. Averaging the pole values hides the failure. The correct report is that the spectrum constrains the real-axis amplitude but not that pole to the desired precision; acquire levels closer to the relevant energy or use a better-justified analytic representation.

The shared map below separates the real-axis amplitude constrained by levels from a pole obtained by analytic continuation. Inspect the named-sheet and model-variation stop before promoting a stable real-axis fit into a resonance claim.

Finite-volume correlators lead to levels, then through a branch-specific quantization or residue relation to real-axis amplitudes and optionally named-sheet poles; failed short-range, branch, covariance, or continuation tests leave the chain.

Finite-volume information reaches an infinite-volume claim only through a branch-specific map. Solid arrows show the controlled chain; dashed arrows show the long-range alternative and the stop rule. The image is schematic, not to scale, and the displayed determinant is structural: its channel, irrep, partial-wave, normalization, and sign conventions must be fixed locally.

The branch-status map adds a second distinction: elastic real-axis control does not automatically validate coupled-channel, current-insertion, or three-particle extensions. Each frontier branch carries its own hypotheses, benchmarks, and dated evidence boundary.

Shared finite-volume correlators and spectra split into a durable QED prescription branch and an elastic short-range branch, while coupled-channel, current-insertion, and three-particle branches each require separate dated Research validation.

Finite-volume branches have different claim ceilings. A fixed massless-field prescription and an exact power-law test are durable; mutable prescription comparisons may move to Research. Coupled-channel, current-insertion, and three-particle claims require separate dated status and validation. The map is schematic and not to scale.

Before accepting a pole extraction, verify that:

  • every fitted energy obeys the elastic, short-range, frame, irrep, and partial-wave hypotheses;
  • the amplitude form is exactly unitary on the real elastic axis and has no unreported physical-sheet singularity;
  • correlated predicted energies reproduce all inputs and held-out levels;
  • at least two analytically distinct unitary forms and a larger partial-wave basis fit acceptably;
  • the sheet sign, crossed cuts, square-root branch, pole denominator, and residue normalization are recorded; and
  • the pole distribution includes level covariance, common kinematics, parametrization alternatives, truncation, and continuation uncertainty.

You can now (1) fit correlated elastic levels with two unitary amplitude forms and reproduce the levels by forward root solving, and (2) continue each fitted form to a named sheet and distinguish data-supported pole information from ansatz, threshold, sheet, and partial-wave assumptions.

Coupled-Channel Quantization and Inference adds threshold and sheet vectors. Physical resonance interpretation remains with Gauge Theories and the Standard Model, and dated comparative validation belongs to the Lattice and Hamiltonian Field Theory Research area.

1. Unitary parametrization. Show that t1=K1iρt^{-1}=K^{-1}-i\rho with real K1K^{-1} implies Imt1=ρ\operatorname{Im}t^{-1}=-\rho on the upper elastic bank.

Solution

The only imaginary term is iρ-i\rho because K1K^{-1} and ρ\rho are real there. Therefore Imt1=ρ\operatorname{Im}t^{-1}=-\rho, which is the inverse-amplitude form of elastic unitarity.

2. Pole versus fit parameter. Why is m0m_0 in the displayed KK matrix not generally MpM_p?

Solution

m02m_0^2 is a real-axis pole of one term in KK, while sps_p solves the full continued equation K1iρII=0K^{-1}-i\rho_{\rm II}=0. Background terms, energy-dependent phase space, and nearby thresholds shift the complex solution. Only in an isolated narrow limit do the parameters approximately coincide.

  • Briceño, Raúl A., Jozef J. Dudek, and Ross D. Young. “Scattering Processes and Resonances from Lattice QCD.” Reviews of Modern Physics 90 (2018): 025001. DOI. Open PDF.
  • Lüscher, Martin. “Two-Particle States on a Torus and Their Relation to the Scattering Matrix.” Nuclear Physics B 354 (1991): 531–578. DOI.