Untitled

from scipy import optimize as opt 
import numpy as np
from scipy.optimize import minimize
import matplotlib.pyplot as plt 
from scipy.integrate import quad
from scipy.interpolate import interp1d
result = open('final.dat','w')
cb = 223.6
cf = 14.8
pi = np.pi
m_h = 125.5
m_w = 80.4
m_z = 91.2
m_t = 173.1
v = 246.22

mw2 = lambda phi: (m_w**2)*(phi**2/v**2)
mz2 = lambda phi: (m_z**2)*(phi**2/v**2)
mt2 = lambda phi: (m_t**2)*(phi**2/v**2)

def jb(y_t):
  return quad((lambda x: x**2 * (np.log(1-np.exp(-np.sqrt(x**2+y_t**2))))), 0, np.infty)[0]

def jf(z_t):
  return quad((lambda x: x**2 * (np.log(1+np.exp(-np.sqrt(x**2+z_t**2))))), 0, np.infty)[0]
    
    
def V(phi,T):
    lbd_0 = m_h**2/(2*v**2)
    V0 = (lbd_0/4)*(phi**2 - v**2)**2
    MASSA_W = ((mw2(phi)**2)*np.log(mw2(phi)/m_w**2)) -((3*mw2(phi)**2)/2) + (2*mw2(phi))*(m_w**2) - (m_w**4)/2
    MASSA_Z = ((mz2(phi)**2)*np.log(mz2(phi)/m_z**2)) -((3*mz2(phi)**2)/2) + (2*mz2(phi))*(m_z**2) - (m_z**4)/2
    MASSA_t = ((mt2(phi)**2)*np.log(mt2(phi)/m_t**2)) -((3*mt2(phi)**2)/2) + (2*mt2(phi))*(m_t**2) - (m_t**4)/2
    V1 = (1/(64*(pi**2)))*(MASSA_W+MASSA_Z+MASSA_t)
    if T!=0.0:
        del_V1 = ((T**4/(2*pi**2))*((6*jb(np.sqrt(mw2(phi))/T) + (3*jb(np.sqrt(mz2(phi))/T)) - (12*jf(np.sqrt(mt2(phi))/T)))))         
        return V0+V1+del_V1
    else:
        return V0+V1
def v_linha(phi,T):
    return V(phi,T)-V(1e-15,T)