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New Vista On Excited States

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Title: Diapositive 1 Author: Helmut Kroger Last modified by: Helmut Kroger Created Date: 3/12/2003 8:22:22 PM Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: New Vista On Excited States


1
New Vista On Excited States
2
Contents
  • Monte Carlo Hamiltonian
  • Effective Hamiltonian in low
  • energy/temperature window

3
  • - Spectrum of excited states
  • - Wave functions
  • - Thermodynamical functions
  • - Klein-Gordon model
  • - Scalar f4 theory
  • - Gauge theory
  • Summary

4
Critical review of Lagrangian vs Hamiltonian LGT
  • Lagrangian LGT
  • Standard approach- very sucessfull.
  • Compute vacuum-to-vacuum transition amplitudes
  • Limitation Excited states spectrum,
  • Wave functions

5
  • Hamiltonian LGT
  • Advantage Allows in principle for computation of
    excited states spectra and wave functions.
  • BIG PROBLEM To find a set of basis states which
    are physically relevant!
  • History of Hamilton LGT
  • - Basis states constructed from mathematical
    principles
  • (like Hermite, Laguerre, Legendre fct in QM).
    BAD IDEA IN LGT!

6
  • Basis constructed via perturbation theory
  • Examples Tamm-Dancoff, Discrete Light Cone
    Field Theory, .
  • BIASED CHOICE!

7
STOCHASTIC BASIS
  • 2 Principles
  • - Randomness To construct states which sample a
    HUGH space random sampling is best.
  • - Guidance by physics Let physics tell us which
    states are important.
  • Lesson Use Monte Carlo with importance
    sampling!
  • Result Stochastic basis states.
  • Analogy in Lagrangian LGT to eqilibrium
    configurations of path integrals guided by
    exp-S.

8
Construction of Basis
9
Box Functions
10
Monte Carlo Hamiltonian
H. Jirari, H. Kröger, X.Q. Luo, K.J.M. Moriarty,
Phys. Lett. A258 (1999) 6. C.Q. Huang, H.
Kröger,X.Q. Luo, K.J.M. Moriarty, Phys.Lett. A299
(2002) 483.
Transition amplitudes between position states.
Compute via path integral. Express as ratio of
path integrals. Split action S S_0 S_V
11
Diagonalize matrix
Spectrum of energies and wave funtions
Effective Hamiltonian
12
Many-body systems Quantum field
theory Essential Stochastic basis Draw nodes
x_i from probability distribution derived from
physics action.
Path integral. Take x_i as position of paths
generated by Monte Calo with importance sampling
at a fixed time slice.
13
Thermodynamical functions
Definition
Lattice
Monte Carlo Hamiltonian
14
Klein Gordon Model
X.Q.Luo, H. Jirari, H. Kröger, K.J.M. Moriarty,
Non-perturbative Methods and Lattice QCD, World
Scientific Singapore (2001), p.100.
15
Energy spectrum
16
Free energy beta x F
17
Average energy U
18
Specific heat C/k_B
19
Scalar Model
C.Q. Huang, H. Kröger, X.Q. Luo, K.J.M.
Moriarty Phys.Lett. A299 (2002) 483.
20
Energy spectrum
21
Free energy F
22
Average energy U
23
Entropy S
24
Specific heat C
25
Lattice gauge theory
26
  • Principle
  • Physical states have to be gauge invariant!
  • Construct stochastic basis of
  • gauge invariant states.

27
Abelian U(1) gauge group. Analogy Q.M. Gauge
theory
l number of links index of irreducible
representation.
28
Fourier Theorem Peter Weyl Theorem
29
Transition amplitude between Bargman states
30
Transition amplitude between gauge invariant
states
31
Result
  • Gauss law at any vertex i

Plaquette angle
32
Results From Electric Term
33
Spectrum 1Plaquette
34
Spectrum 2 Plaquettes
35
Spectrum 4 Plaquettes
36
Spectrum 9 Plaquettes
37
Energy Scaling Window 1 Plaquette
38
Energy scaling window (fixed basis)
39
Energy scaling window 4 Plaq
40
4 Plaquettes a_s1
41
Scaling Window Wave Functions
42
Scaling Energy vs.Wave Fct
43
Scaling Energy vs. Wave Fct.
44
Average Energy U
45
Free Energy F
46
Entropy S
47
Specific Heat C
48
Including Magnetic Term
49
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53
IV. Outlook
  • Application of Monte Carlo Hamiltonian
  • - Spectrum of excited states
  • Wave functions
  • Hadronic structure functions (x_B, Q2) in QCD
    (?)
  • - S-matrix, scattering and decay amplitudes.
  • Finite density QCD (?)
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