qdsfit/data/Container.py

127 lines
4.2 KiB
Python

# -*- encoding: utf8 -*-
from libmath import yafflib
from PyQt4.QtGui import QColor
import numpy as np
from libmath.BDSlib import id_to_color
from container_base import BaseObject
from gui import ContainerWidgets
__author__ = 'markusro'
class Conductivity(BaseObject):
def __init__( self, plt_imag=None, plt_real=None, limits=None ):
super(Conductivity, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
self.widget = ContainerWidgets.ConductivityWidget()
self.color = QColor("blue")
self.id_label = "Cond."
self.id_string = "cond"
self.param_number = 3
def function(self, p, x ):
om = 2*np.pi*x
sgma, isgma, n = p
cond = sgma/(om**n) + isgma/(1j*om**n) # Jonscher (Universal Dielectric Response: e",e' prop sigma/omega**n
cplx = np.array([cond.real, -cond.imag])
return cplx
class PowerComplex(BaseObject):
def __init__( self, plt_real=None, plt_imag=None, limits=None ):
super(PowerComplex, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
self.widget = ContainerWidgets.PowerLawWidget()
self.color = QColor("#ff44c4")
self.id_label = 'Power Law'
self.id_string = "pwr"
self.param_number = 2
def function( self, p, x ):
BaseObject.function(self,p,x)
om = 2*np.pi*x
sgma,n = p
power = sgma/(om*1j)**n
cplx = np.array([power.real, -power.imag])
return cplx
class Static(BaseObject):
def __init__( self, plt_real=None, plt_imag=None, limits=None ):
super(Static, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
self.widget = ContainerWidgets.StaticWidget()
self.color = QColor('#FF0F13')
self.id_label = u'ε(∞)'
self.id_string = "eps_infty"
self.param_number = 1
def function( self, p, x ):
BaseObject.function(self,p,x)
eps_inf = p[0]
static = np.ones( (2,x.size) )*eps_inf
static[1,:] *= 0 # set imag part zero
return static
class Peak(BaseObject):
def __init__( self, id_num=None, plt_real=None, plt_imag=None, limits=None ):
super(Peak, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
self.widget = ContainerWidgets.PeakWidget()
self.widget.setId(id_num)
self.color = id_to_color(id_num)
self.widget.setColor(self.color)
self.id_num = id_num
self.id_label = "Hav-Neg"
self.id_string = "hn"
self.param_number = 4
def function( self, p, x ):
BaseObject.function(self,p,x)
eps,t,a,b = p
om = 2*np.pi*x
hn = eps/(1+(1j*om*t)**a)**b
cplx = np.array([hn.real, -hn.imag])
return cplx
class YAFF(BaseObject):
def __init__( self, plt_real=None, plt_imag=None, limits=None ):
super(YAFF, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
self.widget = ContainerWidgets.YaffWidget()
self.widget.on_model_changed.connect(self.change_model)
self.widget.configuration_changed.connect(self.change_configuration)
self.color = QColor(32, 120, 29, int(255*0.82))
self._libyaff = yafflib.Yaff(self.widget.getYaffType())
self.id_label = self._libyaff.label
self.id_string = "yaff"
self._param_number = self._libyaff.params
self._selector_mask = self.widget.selector_mask
@property
def param_number(self):
return self._param_number
@param_number.setter
def param_number(self, num=None):
self._param_number = self._libyaff.params
def change_configuration(self, t_list, tau_list):
self._libyaff.dist_tau = tau_list
self._libyaff.time_points = t_list
self.updateData()
def change_model(self):
self._libyaff = yafflib.Yaff(self.widget.getYaffType())
self._selector_mask = self.widget.selector_mask
self.id_label = self._libyaff.label
self.param_number = self._libyaff.params
self.updateData()
def function( self, p, x ):
BaseObject.function(self,p,x)
ya = self._libyaff.loss( p, x)
cplx = np.array([ya.imag, ya.real])
return cplx