mirror of
https://github.com/triqs/dft_tools
synced 2024-12-26 06:14:14 +01:00
71 lines
3.1 KiB
Python
71 lines
3.1 KiB
Python
from gf import GfImTime_cython, MeshImTime, TailGf
|
|
from gf_generic import GfGeneric
|
|
import numpy
|
|
from tools import get_indices_in_dict
|
|
from nothing import Nothing
|
|
import impl_plot
|
|
|
|
class GfImTime ( GfGeneric, GfImTime_cython ) :
|
|
def __init__(self, **d):
|
|
"""
|
|
The constructor have two variants : you can either provide the mesh in
|
|
Matsubara frequencies yourself, or give the parameters to build it.
|
|
All parameters must be given with keyword arguments.
|
|
|
|
GfImTime(indices, beta, statistic, n_points, data, tail, name)
|
|
|
|
* ``indices``: a list of indices names of the block
|
|
* ``beta``: Inverse Temperature
|
|
* ``statistic``: 'F' or 'B'
|
|
* ``n_points`` : Number of time points in the mesh
|
|
* ``data``: A numpy array of dimensions (len(indices),len(indices),n_points) representing the value of the Green function on the mesh.
|
|
* ``tail``: the tail
|
|
* ``name``: a name of the GF
|
|
|
|
GfImTime (indices, mesh, data, tail, name)
|
|
|
|
* ``indices``: a list of indices names of the block
|
|
* ``mesh``: a MeshGf object, such that mesh.TypeGF== GF_Type.Imaginary_Time
|
|
* ``data``: A numpy array of dimensions (len(indices),len(indices),n_points) representing the value of the Green function on the mesh.
|
|
* ``tail``: the tail
|
|
* ``name``: a name of the GF
|
|
|
|
.. warning::
|
|
|
|
The Green function take a **view** of the array data, and a **reference** to the tail.
|
|
|
|
"""
|
|
mesh = d.pop('mesh',None)
|
|
if mesh is None :
|
|
if 'beta' not in d : raise ValueError, "beta not provided"
|
|
beta = float(d.pop('beta'))
|
|
n_max = d.pop('n_points',10000)
|
|
stat = d.pop('statistic','F')
|
|
kind = d.pop('kind','H')
|
|
mesh = MeshImTime(beta,stat,n_max,kind)
|
|
|
|
self.dtype = numpy.float64
|
|
indices_pack = get_indices_in_dict(d)
|
|
indicesL, indicesR = indices_pack
|
|
N1, N2 = len(indicesL),len(indicesR)
|
|
data = d.pop('data') if 'data' in d else numpy.zeros((len(mesh),N1,N2), self.dtype )
|
|
tail = d.pop('tail') if 'tail' in d else TailGf(shape = (N1,N2))
|
|
symmetry = d.pop('symmetry', Nothing())
|
|
name = d.pop('name','g')
|
|
assert len(d) ==0, "Unknown parameters in GFBloc constructions %s"%d.keys()
|
|
|
|
GfGeneric.__init__(self, mesh, data, tail, symmetry, indices_pack, name, GfImTime)
|
|
GfImTime_cython.__init__(self, mesh, data, tail)
|
|
|
|
#-------------- PLOT ---------------------------------------
|
|
|
|
def _plot_(self, opt_dict):
|
|
""" Plot protocol. opt_dict can contain :
|
|
* :param RI: 'R', 'I', 'RI' [ default]
|
|
* :param x_window: (xmin,xmax) or None [default]
|
|
* :param name: a string [default ='']. If not '', it remplaces the name of the function just for this plot.
|
|
"""
|
|
has_complex_value = False
|
|
return impl_plot.plot_base( self, opt_dict, r'$\tau$', lambda name : r'%s$(\tau)$'%name, has_complex_value , list(self.mesh) )
|
|
|