写一个拉曼光谱分峰拟合的代码
时间: 2023-12-01 10:54:59
浏览: 335
这里提供一个基于Python的拉曼光谱分峰拟合代码,使用了Scipy的curve_fit函数进行曲线拟合。
```python
import numpy as np
from scipy.optimize import curve_fit
# 定义高斯分布函数
def gaussian(x, a, b, c):
return a * np.exp(-(x - b)**2 / (2 * c**2))
# 定义拉曼光谱拟合函数
def raman_fit(x, *params):
y = np.zeros_like(x)
for i in range(0, len(params), 3):
a, b, c = params[i:i+3]
y += gaussian(x, a, b, c)
return y
# 生成测试数据
x = np.linspace(0, 10, 100)
y = 5 * np.exp(-(x - 3)**2 / 2) + 2 * np.exp(-(x - 7)**2 / 0.2) + 0.5 * np.random.randn(len(x))
# 初始化拟合参数
n_peaks = 3
initial_params = np.zeros(n_peaks*3)
initial_params[0::3] = y.max() / n_peaks
initial_params[1::3] = np.linspace(x.min(), x.max(), n_peaks)
# 进行拟合
```
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