等高線図を作成し、画像に等高線を重ねる必要があります。aplpy ライブラリを使用して、天体画像の輪郭を重ねました。APlpy Web サイト ( https://github.com/aplpy/aplpy-examples/tree/master/data ) で 2MASS データをダウンロードし、次のコードを記述しました。
import numpy as np
import aplpy
import atpy
from pyavm import AVM
import scipy
import matplotlib.pyplot as plt
import scipy.ndimage
from matplotlib import cm
import montage_wrapper
import matplotlib.colors as colors
from scipy import stats
def get_contour_verts(cn):
contours = []
# for each contour line
for cc in cn.collections:
paths = []
# for each separate section of the contour line
for pp in cc.get_paths():
xy = []
# for each segment of that section
for vv in pp.iter_segments():
xy.append(vv[0])
paths.append(np.vstack(xy))
contours.append(paths)
return contours
# Convert all images to common projection
aplpy.make_rgb_cube(['2MASS_h.fits', '2MASS_j.fits', '2MASS_k.fits'], '2MASS_rgb.fits')
# Customize it
aplpy.make_rgb_image('2MASS_rgb.fits','2MASS_rgb_contour.png',embed_avm_tags=True)
# Launch APLpy figure of 2D cube
img = aplpy.FITSFigure('2MASS_rgb_contour.png')
img.show_rgb()
# Modify the tick labels for precision and format
img.tick_labels.set_xformat('hhmm')
img.tick_labels.set_yformat('ddmm')
# Move the tick labels
img.tick_labels.set_xposition('top')
img.tick_labels.set_yposition('right')
img.tick_labels.set_font(size='small', family='sans-serif', style='normal')
data = scipy.loadtxt('sources.txt')
m1=data[:,0]
m2=data[:,1]
xmin = m1.min()
xmax = m1.max()
ymin = m2.min()
ymax = m2.max()
#Gridding the data
X, Y = np.mgrid[xmin:xmax:100j, ymin:ymax:100j]
positions = np.vstack([X.ravel(), Y.ravel()])
values = np.vstack([m1, m2])
kernel = stats.gaussian_kde(values)
Z = np.reshape(kernel(positions).T, X.shape)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(np.rot90(Z), cmap=plt.cm.gist_earth_r, extent=[xmin, xmax, ymin, ymax])
ax.plot(m1, m2, 'k.', markersize=2)
ax.set_xlim([xmin, xmax])
ax.set_ylim([ymin, ymax])
CS = plt.contour(X, Y, Z)
Contour_arrays=get_contour_verts(CS)
#Adding contour plots
for contours_at_level in Contour_arrays:
radec = [img.pixel2world(*verts.T) for verts in contours_at_level]
new_radec=[]
for coor in radec:
#new_radec.append(np.column_stack((coor[0], coor[1])))
new_radec.append(np.vstack((coor[0], coor[1])))
print new_radec
img.show_lines(new_radec,color='red', zorder=100)
img.save('tutorial.png')
今でも全然通用しないようです。