Source code for gftool.lattice.box

"""
Green's function corresponding to a box DOS.

This doesn't correspond to any real lattice. It is mostly meant as very simple
test case, for which we have analytic expressions.
"""

import numpy as np

_SMALL = np.finfo(np.float64).eps**0.25


[docs] def gf_z(z, half_bandwidth): r""" Local Green's function corresponding to a box DOS. .. math:: G(z) = \ln(\frac{z + D}{z - D}) / 2D Parameters ---------- z : complex array_like or complex Green's function is evaluated at complex frequency `z`. half_bandwidth : float Half-bandwidth of the box DOS. Returns ------- complex np.ndarray or complex Value of the Green's function corresponding to a box DOS. Examples -------- >>> ww = np.linspace(-1.5, 1.5, num=500) >>> gf_ww = gt.lattice.box.gf_z(ww, half_bandwidth=1) >>> import matplotlib.pyplot as plt >>> _ = plt.plot(ww, gf_ww.real, label=r"$\Re G$") >>> _ = plt.plot(ww, gf_ww.imag, '--', label=r"$\Im G$") >>> _ = plt.xlabel(r"$\omega/D$") >>> _ = plt.ylabel(r"$G*D$") >>> _ = plt.axhline(0, color='black', linewidth=0.8) >>> _ = plt.xlim(left=ww.min(), right=ww.max()) >>> _ = plt.legend() >>> plt.show() """ z_rel = z / half_bandwidth return 0.5 / half_bandwidth * np.emath.log((z_rel + 1) / (z_rel - 1))
[docs] def dos(eps, half_bandwidth): r""" Box-shaped DOS. Parameters ---------- eps : float array_like or float DOS is evaluated at points `eps`. half_bandwidth : float Half-bandwidth of the DOS, DOS(| `eps` | > `half_bandwidth`) = 0. Returns ------- float np.ndarray or float The value of the DOS. Examples -------- >>> eps = np.linspace(-1.1, 1.1, num=500) >>> dos = gt.lattice.box.dos(eps, half_bandwidth=1) >>> import matplotlib.pyplot as plt >>> _ = plt.plot(eps, dos) >>> _ = plt.xlabel(r"$\epsilon/D$") >>> _ = plt.ylabel(r"DOS * $D$") >>> _ = plt.axvline(0, color='black', linewidth=0.8) >>> _ = plt.ylim(bottom=0) >>> _ = plt.xlim(left=eps.min(), right=eps.max()) >>> plt.show() """ return np.where(abs(eps) < half_bandwidth, 0.5/half_bandwidth, 0)
[docs] def dos_moment(m, half_bandwidth): """ Calculate the `m` th moment of the box DOS. The moments are defined as :math:`∫dϵ ϵ^m DOS(ϵ)`. Parameters ---------- m : int The order of the moment. half_bandwidth : float Half-bandwidth of the DOS of the box lattice. Returns ------- float The `m` th moment of the box DOS. See Also -------- gftool.lattice.box.dos """ if m % 2: # odd moments vanish due to symmetry return 0 return half_bandwidth**m / (m + 1)
[docs] def gf_ret_t(tt, half_bandwidth, center=0): r""" Local retarded-time local Green's function corresponding to a box DOS. .. math:: G(t) = -1j Θ(t) \sin(Dt)/Dt where :math:`D` is the half bandwidth. Parameters ---------- tt : float array_like or float Green's function is evaluated at time `tt`. half_bandwidth : float Half-bandwidth of the box DOS. center : float Position of the center of the box DOS. This parameter is **not** given in units of `half_bandwidth`. Returns ------- complex np.ndarray or complex Value of the retarded-time Green's function corresponding to a box DOS. Examples -------- >>> tt = np.linspace(0, 50, 1500) >>> gf_tt = gt.lattice.box.gf_ret_t(tt, half_bandwidth=1) >>> import matplotlib.pyplot as plt >>> _ = plt.axhline(0, color='black', linewidth=0.8) >>> _ = plt.plot(tt, gf_tt.imag, label=r"$\Im G$") >>> _ = plt.plot(tt, gf_tt.real, '--', label=r"$\Re G$") >>> _ = plt.xlabel(r"$t*D$") >>> _ = plt.ylabel(r"$G$") >>> _ = plt.xlim(left=tt.min(), right=tt.max()) >>> _ = plt.legend() >>> plt.show() """ tt = np.asarray(half_bandwidth*tt) gf = np.zeros_like(tt, dtype=complex) retard = tt.real >= 0 small = retard & (abs(tt) < _SMALL) # Taylor expansion for small tt, to avoid 1/tt tt2 = tt[small]**2 gf[small] = -1j*(1 - 1/6*tt2 + 1/120*tt2**2) big = retard & ~small gf[big] = -1j * np.sin(tt)[big] / tt[big] if np.any(center != 0): return gf*np.exp(-1j*center*tt) return gf