我一直在尝试使用我在网上找到的修改后的脚本来绘制拟合图像的径向轮廓。我总是得到与预期完全不同的 y 轴单位。我什至不确定y轴单位是什么。我附上了拟合文件和我不断获得的轮廓以及我使用另一个程序绘制的正确径向轮廓。
我对python很陌生，所以我不知道为什么会这样。任何解决此问题的帮助将不胜感激。
这是我一直在使用的代码：
import numpy as np
import pyfits
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
def azimuthalAverage(image, center=None):
"""
Calculate the azimuthally averaged radial profile.
image - The 2D image
center - The [x,y] pixel coordinates used as the center. The default is
None, which then uses the center of the image (including
fracitonal pixels).
"""
# Calculate the indices from the image
y, x = np.indices(image.shape)
if not center:
center = np.array([(x.max()-x.min())/2.0, (y.max()-y.min())/2.0])
r = np.hypot(x - center[0], y - center[1])
# Get sorted radii
ind = np.argsort(r.flat)
r_sorted = r.flat[ind]
i_sorted = image.flat[ind]
# Get the integer part of the radii (bin size = 1)
r_int = r_sorted.astype(int)
# Find all pixels that fall within each radial bin.
deltar = r_int[1:] - r_int[:-1] # Assumes all radii represented
rind = np.where(deltar)[1] # location of changed radius
nr = rind[1:] - rind[:-1] # number of radius bin
# Cumulative sum to figure out sums for each radius bin
csim = np.cumsum(i_sorted, dtype=float)
tbin = csim[rind[1:]] - csim[rind[:-1]]
radial_prof = tbin / nr
print center
print i_sorted
print radial_prof
return radial_prof
#read in image
hdulist = pyfits.open('cit6ndf2fitsexample.fits')
scidata = np.array(hdulist[0].data)[0,:,:]
center = None
radi = 10
rad = azimuthalAverage(scidata, center)
plt.xlabel('radius(pixels?)', fontsize=12)
plt.ylabel('image intensity', fontsize=12)
plt.xlim(0,10)
plt.ylim(0, 3.2)
plt.plot(rad[radi:])
plt.savefig('testfig1.png')
plt.show()
带有错误 y 轴单位的配置文件
使用 Celtech Aperture Photometry Tool 创建的具有预期正确单位的配置文件。
