I have wrote this code to solve an equation , I know the behavior of this function has very rapid oscillations, when I RUN it gives bogus values for some "m[x]" and some "t"'s, with this error:
C:\Users\dani\anaconda3\lib\site-packages\scipy\integrate\odepack.py:247: ODEintWarning: Excess work done on this call (perhaps wrong Dfun type). Run with full_output = 1 to get quantitative information. warnings.warn(warning_msg, ODEintWarning)
I don't know what is the problem. how can I get correct results? or at least as accurate as possible? or maybe I should rewrite the code in another form? thank you.
import scipy as sio
import numpy as np
import mpmath as mp
import scipy.integrate as spi
import matplotlib.pyplot as plt
import time
from scipy.integrate import quad
initial_value=np.logspace(24,27,100)
t=np.logspace(-20,6,100)
m=np.logspace(0,6,100)
start_time=time.perf_counter()
phi_m={}
phi_m_prime={}
phi=[]
phi_prime=[]
j=0
i=np.pi*2.435*initial_value[0]
while i<(np.pi*(2.435*10**(27))):
i=np.pi*2.435*initial_value[j]
phi=[]
phi_prime=[]
for x in range (len(m)):
def dzdt(z,T):
return [z[1], -3*1.4441*(10**(-6))*m[x]*np.sqrt(0.69)*(mp.coth(1.5*np.sqrt(0.69)*(10**(-6))*1.4441*m[x]*T))*z[1] - z[0]]
z0 = [i,0]
ts = t/m[x]
zs = spi.odeint(dzdt, z0, ts)
phi.append(zs[99,0])
phi_prime.append(zs[99,1])
phi_m[j]=phi
phi_m_prime[j]=phi_prime
j+=1
end_time=time.perf_counter()
print(end_time-start_time,"seconds")