回答編集履歴
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訂正
test
CHANGED
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@@ -5,3 +5,89 @@
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return c*(1.+z)/(H0*np.sqrt(abs(1.-omega_m-omega_l)))*np.sinh(np.sqrt(abs(1.-omega_m-omega_l))*integrate.quad(integrand,0.,z))
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の部分に相当するものが上に貼り付けてあるコードに含まれてないのは気のせいでしょうか？
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---
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追記：
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不思議な質問ですね。
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貼り付けてあるコードは普通に動きます。（一部numpy->npのミスがありますが）
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正しく修正した後に過去のエラーを勘違いしていませんか？
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i=integrate.quad(integrand,0.,z)
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.....*i[0]
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とご自身で訂正されています？
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```python
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import math
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import numpy as np
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import scipy.optimize
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from scipy import integrate
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from scipy.optimize import curve_fit
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import matplotlib.pyplot as plt
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import scipy
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def dL(z,omega_m,omega_l,H0,c):
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def integrand(x):
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return 1. / np.sqrt((1.+x)**2.*(1.+x*omega_m)-x*(2.+x)*omega_l)
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if omega_m + omega_l ==1:
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i=integrate.quad(integrand,0.,z)
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return c*(1.+z)/H0*i[0]
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elif omega_m + omega_l > 1:
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i=integrate.quad(integrand,0.,z)
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return c*(1.+z)/(H0*np.sqrt(abs(1.-omega_m-omega_l)))*np.sin(np.sqrt(abs(1.-omega_m-omega_l))*i[0])
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else:
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i=integrate.quad(integrand,0.,z)
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return c*(1.+z)/(H0*np.sqrt(abs(1.-omega_m-omega_l)))*np.sinh(np.sqrt(abs(1.-omega_m-omega_l))*i[0])
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dL = np.vectorize(dL, excluded=("omega_m","omega_l","H0","c"))
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def m_model(z,omega_m,omega_l,H0,MB,sth):
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return MB + 5.0*np.log(dL(z,omega_m,omega_l,H0,sth))+25.0
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def m_model_00(x):
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return m_model(x,0.,0.,0.7,-1.8,1.)
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print(m_model_00(0.4))
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```
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