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Huey-Wen Lin — 4th QCDNA @ Yale1 Lattice QCD Beyond Ground States Huey-Wen Lin

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Huey-Wen Lin — 4th QCDNA @ Yale2 Outline Motivation and background Two-point Green function Black box methods Variational method Three-point Green function

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Huey-Wen Lin — 4th QCDNA @ Yale3 Long-standing puzzle Quark-gluon (hybrid) state [C. Carlson et al. (1991)] Five-quark (meson-baryon) state [O. Krehl et al. (1999)] Constituent quark models (many different specific approaches) and many other models… Shopping list: full dynamical lattice QCD with proper extrapolation to (or calculation nearby) the physical pion mass Example: Roper (P 11 ) Spectrum First positive-parity excited state of nucleon (discovered in 1964) Unusual feature: 1 st excited state is lower than its negative-parity partner!

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Huey-Wen Lin — 4th QCDNA @ Yale4 Helicity amplitudes are measured (in 10 −3 GeV −1/2 units) Example: Roper Form Factor Experiments at Jefferson Laboratory (CLAS), MIT-Bates, LEGS, Mainz, Bonn, GRAAL, and Spring-8 Great effort has been put in by phenomenologists; Many models disagree (a selection are shown below)

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Huey-Wen Lin — 4th QCDNA @ Yale5 EBAC Excited Baryon Analysis Center (EBAC) “an international effort which incorporates researchers from institutes around the world”

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Huey-Wen Lin — 4th QCDNA @ Yale6 Physical observables are calculated from the path integral Lattice QCD is a discrete version of continuum QCD theory Use Monte Carlo integration combined with the “importance sampling” technique to calculate the path integral. Take a → 0 and V → ∞ in the continuum limit Lattice QCD

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Huey-Wen Lin — 4th QCDNA @ Yale7 Lattice QCD: Observables Two-point Green function e.g. Spectroscopy Three-point Green function e.g. Form factors, Structure functions, …

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Huey-Wen Lin — 4th QCDNA @ Yale8 Lattice QCD: Observables Two-point Green function e.g. Spectroscopy Three-point Green function e.g. Form factors, Structure functions, … After taking spin and momentum projection (ignore the variety of boundary condition choices) × FF’s × Three-point correlator Different states are mixed and the signal decays exponentially as a function of t Two-point correlator

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Huey-Wen Lin — 4th QCDNA @ Yale9 Lattice QCD: Improvements Obtain the ground state observables at large t, after the excited states die out: Need large time dimension The lighter the particle is, the longer the t required Smaller lattice spacing in time (anisotropic lattices) Multiple smearing techniques to overlap with different states Example: Hydrogen wavefunction

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Huey-Wen Lin — 4th QCDNA @ Yale10 Lattice QCD: Improvements Obtain the ground state observables at large t, after the excited states die out: Need large time dimension The lighter the particle is, the longer the t required Smaller lattice spacing in time (anisotropic lattices) Multiple smearing techniques to overlap with different states Example: Gaussian function

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Huey-Wen Lin — 4th QCDNA @ Yale11 Only Interested in Ground State? Larger t solution does not always work well with three- point correlators Example: Quark helicity distribution LHPC & SESAM Phys. Rev. D 66, 034506 (2002) 50% increase in error budget at t sep = 14 Confronting the excited states might be a better solution than avoiding them.

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Huey-Wen Lin — 4th QCDNA @ Yale12 Probing Excited-State Signals Lattice spectrum (two-point Green function) case Black box method (modified correlator method ) Multiple correlator fits Variational methods Bayesian Methods (as in G. Fleming’s and P. Petreczky’s talks) Form factor (three-point Green function) case Fit the amplitude Modified variational method

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Huey-Wen Lin — 4th QCDNA @ Yale13 Black Box Methods In the 3 rd iteration of this workshop, G. T. Fleming (hep-lat/0403023) talked about “black box methods” used in NMR: Similar to the lattice correlators, which have the general form This forms a Vandermonde system with

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Huey-Wen Lin — 4th QCDNA @ Yale14 Black Box Method: N-State Effective Mass Given a single correlator (with sufficient length of t), one can, in principle, solve for multiple a’s and α’s Can one solve N/2 states from one correlator of length N ?

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Huey-Wen Lin — 4th QCDNA @ Yale15 Black Box Methods: Effective Mass System dominated by ground state (K = 1) case, easy solution: α 1 = y n+1 /y n Thus, “effective mass” M eff = ln(y n+1 /y n )

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Huey-Wen Lin — 4th QCDNA @ Yale16 Black Box Methods: Effective Mass System dominated by ground state (K = 1) case, easy solution: α 1 = y n+1 /y n Thus, “effective mass” M eff = ln(y n+1 /y n )

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Huey-Wen Lin — 4th QCDNA @ Yale17 Black Box Methods: 1 st Excited State Toy model: consider three states with masses 0.5, 1.0, 1.5 and with the same amplitude Extracting two states (K = 2) case, which leads to a more complicated solution

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Huey-Wen Lin — 4th QCDNA @ Yale18 Black Box Methods: 1 st Excited State Toy model: consider three states with masses 0.5, 1.0, 1.5 and with the same amplitude Extracting two states (K = 2) case, which leads to a more complicated solution

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Huey-Wen Lin — 4th QCDNA @ Yale19 Lattice Data “Quenched” study on 16 3 ×64 anisotropic lattice Wilson gauge action + nonperturbative clover fermion action a t −1 ≈ 6 GeV and a s ≈ 0.125 fm 7 effective mass plots from Gaussian smeared-point Real World: proton case

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Huey-Wen Lin — 4th QCDNA @ Yale20 Black Box Methods: 1 st Excited State Real World: proton case

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Huey-Wen Lin — 4th QCDNA @ Yale21 Black Box Methods: 1 st Excited State Real World: proton case Cut

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Huey-Wen Lin — 4th QCDNA @ Yale22 Black Box Methods: 1 st Excited State Real World: proton case

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Huey-Wen Lin — 4th QCDNA @ Yale23 Modified Correlator [D. Gaudagnoli, Phys. Lett. B604, 74 (2004)] Instead of using a direct solution, define a modified correlator as Y t = y t-1 y t+1 – y t 2 (= α 1 × α 2 ) −ln( Y t+1 / Y t ) = E 1 + E 2 Toy model: consider three states with masses 0.5, 1.0, 1.5 and with the same amplitude

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Huey-Wen Lin — 4th QCDNA @ Yale24 Modified Correlator Real World: proton case 2-State Effective Masses

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Huey-Wen Lin — 4th QCDNA @ Yale25 N-State Masses vs Modified Correlator [George T. Fleming, hep-lat/0403023] N-state effective mass method [ D. Gaudagnoli, Phys. Lett. B604, 74 (2004)] Modified correlator method

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Huey-Wen Lin — 4th QCDNA @ Yale26 Black Box Methods: Recap Different point of view from what we normally do in lattice calculations Neat idea. Simple algebra excise gives us multiple states from single correlator. Great difficulty to achieve with least-square fits. How about 2 nd excited state? Limitation: Abel’s Impossibility Theorem algebraic solutions are only possible for N ≤ 5

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Huey-Wen Lin — 4th QCDNA @ Yale27 Black Box Method: Linear Prediction In collaboration with Saul D. Cohen Consider a K-state system: Construct a polynomial with coefficients We know that Solving the system of equations for ideal data

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Huey-Wen Lin — 4th QCDNA @ Yale28 Black Box Method: Linear Prediction In collaboration with Saul D. Cohen Consider a K-state system: Construct a polynomial with coefficients We can make the linear prediction Solving the system now gives for real data (N ≥ 2M)

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Huey-Wen Lin — 4th QCDNA @ Yale29 Black Box Method: Linear Prediction 3-state results on the smallest Gaussian smeared-point correlator; using the minimal M: In collaboration with Saul D. Cohen

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Huey-Wen Lin — 4th QCDNA @ Yale30 Black Box Method: Linear Prediction Increase M. A higher-order polynomial means bad roots can be thrown out without affecting the K roots we want. In collaboration with Saul D. Cohen

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Huey-Wen Lin — 4th QCDNA @ Yale31 Black Box Method: Linear Prediction Still higher M… In collaboration with Saul D. Cohen

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Huey-Wen Lin — 4th QCDNA @ Yale32 Black Box Method: Linear Prediction As N becomes large compared to the total length, not many independent measurements can be made. In collaboration with Saul D. Cohen

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Huey-Wen Lin — 4th QCDNA @ Yale33 Black Box Method: Linear Prediction These settings seem to be a happy medium. In collaboration with Saul D. Cohen

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Huey-Wen Lin — 4th QCDNA @ Yale34 Black Box Method: Linear Prediction Can we extract even higher energies? In collaboration with Saul D. Cohen

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Huey-Wen Lin — 4th QCDNA @ Yale35 Black Box Method: Linear Prediction Can we get better results if we’re only interested in the lowest energies? In collaboration with Saul D. Cohen

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Huey-Wen Lin — 4th QCDNA @ Yale36 Multiple Least-Squares Fit With multiple smeared correlators, one minimizes the quantity to extract E n. Example: To extract n states, one at needs at least n “distinguished” input correlators

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Huey-Wen Lin — 4th QCDNA @ Yale37 Variational Method Generalized eigenvalue problem: [C. Michael, Nucl. Phys. B 259, 58 (1985)] [M. Lüscher and U. Wolff, Nucl. Phys. B 339, 222 (1990)] Construct the matrix Solve for the generalized eigensystem of with eigenvalues and the original correlator matrix can be approximated by

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Huey-Wen Lin — 4th QCDNA @ Yale38 Variational Method Example: 5×5 smeared-smeared correlator matrices Solve eigensystem for individual λ n Fit them individually with exponential form (red bars) Plotted along with effective masses

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Huey-Wen Lin — 4th QCDNA @ Yale39 Three-Point Correlators The form factors are buried in the amplitudes Brute force approach : multi-exponential fits to two-point correlators to extract overlap factors Z and energies E Modified variational method approach : use the eigensystem solved from the two-pt correlator as inputs; works for the diagonal elements. Any special trick for the non-diagonal elements ?

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Huey-Wen Lin — 4th QCDNA @ Yale40 Summary A lot of interesting physics involves excited states, but they’re difficult to handle. NMR-inspired methods provide an interesting alternate point of view for looking at the lattice QCD spectroscopy Sparks for new ideas are generated in workshops like this where flinty lattice theorists meet steely numerical mathematicians What do I gain from this workshop?

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