You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
78 lines
2.4 KiB
78 lines
2.4 KiB
# %% LIBRERIAS
|
|
|
|
import numpy as np
|
|
|
|
import matplotlib.pyplot as plt
|
|
from mpl_toolkits.mplot3d import Axes3D
|
|
|
|
from Codigo3D_FuncionGeneral import calculate_al
|
|
|
|
import Codigo3D_AjusteHelfrich as c3
|
|
|
|
# %% FUNCION DE AJUSTE (Para generar continuo de interpolacion)
|
|
|
|
kb = 1.380649e-23 # Constante de Boltzmann
|
|
T = 300 # Temperatura en Kelvin
|
|
kbT = kb * T # Factor kb * T
|
|
|
|
def fx(x,kappa,b):
|
|
y = kbT/(8*b + kappa*x) # NOTA x incluye r0 y el termino de l
|
|
return y
|
|
|
|
# %% ANALISIS
|
|
|
|
Datos_simul_cart = np.load('matrizcartesianas.npy')
|
|
|
|
Grid,ProyecGrid,terminol,a2l,r0 = calculate_al(Datos_simul_cart,20)
|
|
|
|
# %% DATOS PARA GRAFICAS
|
|
|
|
minimo = 2 # corresponde a l = 2
|
|
maximo = 6 # corresponde a l = 5, pero luego sumamos 1 y es l = 6
|
|
|
|
coefs = a2l[minimo:maximo+1] # coeficientes entre l = 2, l = 6
|
|
valorx = terminol[minimo:maximo+1]/(r0*r0) # x de la funcion
|
|
|
|
kappa,b = c3.aproxHelfrich(valorx,coefs)
|
|
|
|
bending = kappa/kbT
|
|
stretching = b
|
|
|
|
print("-------------------")
|
|
print(f"Para modos entre l = {minimo} y l = {maximo} se obtiene:")
|
|
print("Bending (en uds kbT): ",bending)
|
|
print(" (Aprox) Stretching [N/m]: ",stretching)
|
|
|
|
# %% AJUSTE PAPER
|
|
|
|
lvector = np.linspace(0,20,21) # vector de l
|
|
lfiltro = np.linspace(2,6,100) # vector de l entre l = 2, l = 6
|
|
|
|
terminolfiltro = lfiltro*(lfiltro+1)*(lfiltro-1)*(lfiltro+2) # termino en l filtrado
|
|
valorxfiltro = terminolfiltro/(r0*r0) # x filtrado
|
|
|
|
Y = fx(valorxfiltro,kappa,b) # se genera el continuo de lo que nos da el ajuste (generado con lfiltro!)
|
|
|
|
# %% GRAFICAS
|
|
|
|
#### GRAFICA 1: Representacion de los coeficientes en funcion del termino en l
|
|
|
|
plt.figure()
|
|
plt.plot(valorxfiltro*r0**2,Y,linestyle="-.",color = "red") # misma dim
|
|
plt.plot(valorx*r0**2,coefs,linestyle = "none", color = "blue",marker = "o") # misma dim
|
|
plt.xlabel("l*(l+1)*(l-1)*(l+2)",fontweight = "bold")
|
|
plt.ylabel(r'$\langle |a_\ell|^2 \rangle$',fontweight = "bold")
|
|
plt.title("Coeficientes en funcion de l*(l+1)*(l-1)*(l+2)",fontsize = 14,fontweight = "bold")
|
|
|
|
#### GRAFICA 2: Representacion de los coeficientes en funcion de l (todos)
|
|
|
|
plt.figure()
|
|
plt.plot(lfiltro,Y,linestyle="-.",color = "red")
|
|
plt.plot(lvector,a2l,linestyle = "none", color = "blue",marker = "o")
|
|
plt.yscale('log')
|
|
plt.xlabel("l",fontweight = "bold")
|
|
plt.ylabel(r'$\langle |a_\ell|^2 \rangle$',fontweight = "bold")
|
|
plt.xticks(np.arange(0, 22, 2))
|
|
plt.title("Coeficientes en funcion de l",fontsize = 14,fontweight = "bold")
|
|
plt.show()
|
|
|
|
|