.. _dbse_hubbard_zeeman: Susceptibility of the Hubbard-Zeeman model ========================================== In this tutorial we will compute the dynamic, momentum-resolved susceptibility :math:`\chi_{abcd}(\omega,\mathbf{q})` of the Hubbard-Zeeman model, along the lines of `Communications Physics 6, 289 (2023) `_. Unlike previous tutorials, in this tutorial we will compute and look at the full tensor structure of the susceptibility. Both the BSE and DBSE will be used. The model has a hopping parameter :math: `t`, a Hubbard interaction :math: `U`, and a Zeeman magnetic field :math: `B`. The latter appears in the Hamiltonian as :math:`-B (\hat{n}_\uparrow-\hat{n}_\downarrow)` The Zeeman field lifts the degeneracy between spin up and spin down and leads to a richer spin structure of the susceptibility including non-trivial off-diagonal elements. TRIQS/cthyb is used as an impurity solver for the DMFT self-consistency loop, and then the vertices are calculated using W2Dynamics. The overall structure of the scripts is similar to previous tutorials: :download:`common.py ` is a module with general functionality, :download:`calc_sc_dmft.py ` runs the DMFT self-consistency loop and then :download:`calc_g2.py `, :download:`calc_tri.py `, :download:`calc_chi.py ` measure the three required correlation functions. Finally, :download:`calc_bse.py ` evaluates the Bethe-Salpeter equation with different fermionic cut-offs ``nwf``. Vertices -------- :download:`plot_vertex.py ` (Include discussion of plot script and figure here) Convergence of Susceptibility ----------------------------- :download:`plot_components.py ` (Include discussion of plot script and figure here) Larmor precession ----------------- In the presence of a Zeeman field :math:`B`, the total spin of the system will undergo Larmor precession. This is visible in the in-plane (x,y) components of the spin susceptibility at :math:`\mathbf{q}=\Gamma`. The frequency of the oscillation is fixed by :math:`B` and is thus known analytically. This is a good check on the numerical results. :download:`plot_chiG.py ` (Include discussion of plot script and figure here)