Thermodynamical Observables in a Finite Temperature Window from the Monte Carlo Hamiltonian
H. Kröger, X. Q. Luo, K. J. M. Moriarty
Abstract
The Monte Carlo (MC) Hamiltonian is a new stochastic method to solve many-body problems. The MC Hamiltonian represents an effective Hamiltonian in a finite energy window. We construct it from the classical action via Monte Carlo with importance sampling. The MC Hamiltonian yields the energy spectrum and corresponding wave functions in a low energy window. This allows to compute thermodynamical observables in a low temperature window. We show the working of the MC Hamiltonian by an example from lattice field theory (Klein-Gordon model).
Create a lesson
Related papers
Evidence of Taste-Symmetry restoration for Kähler-Dirac fermions on Euclidean Dynamical Triangulations
Mingwei Dai, Walter Freeman, Mason Grieb et al.
Hamiltonian framework for Chiral Gauge Theories on a Disk Boundary
Srimoyee Sen
Finite-size scaling analysis of three dimensional Z(2) and O(2) spin models with non-vanishing symmetry breaking parameter
Jishnu Goswami, Frithjof Karsch, Sabarnya Mitra
Bjorken sum rule down to the elastic region from the lattice
J. A. Crawford, A. Hannaford-Gunn, R. Horsley et al.
Performance Portable SU(N) Lattice Gauge Theory Simulation with Kokkos
Wei Sun
Sampling SU(N) gauge theory on a 2D lattice from independent plaquettes via holonomies and corner reweighting
Javad Komijani