-
Notifications
You must be signed in to change notification settings - Fork 0
/
imfit_flux_uvcut.py
57 lines (37 loc) · 1.29 KB
/
imfit_flux_uvcut.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
import sys
from matplotlib.pyplot import plot, show
import matplotlib.pyplot as plt
import numpy as np
region=sys.argv[3]
uvcut=[500,1000,2000,3000,4000,5000,6000,7000]
final_flux=[]
for i in range(len(uvcut)):
image='xova_bda/Abell3376_bda_0.83_' + str(uvcut[i]) + '-MFS-image.fits'
print(region,'region is')
print(image,'image is')
lines = open(region).readlines()
flux=[]
for i in range(len(lines)):
f = open("uvcut_fluxes", "a")
fit=imfit(imagename=image,region=lines[i])
comp=fit['results']['component0']
flux.append(comp['peak']['value']*1000)
print(comp['peak']['value']*1000, comp['peak']['error']*1000)
outputname=image.replace('xova_bda/','')
final_flux.append(comp['peak']['value']*1000)
f.write(str(image)+' '+str(flux[i])+'\n')
decorrealtion=np.array(1-((1000-final_flux)/1000))
plt.scatter( uvcut,decorrealtion, color='black', alpha=0.5)
plt.xlabel("uvcut in meters")
plt.ylabel("flux in Mjy")
plt.title("decorrealton 1 Degree flux vs uvcut")
plt.show()
# f.close()
# words=[]
# with open('Bright_sources_fluxes_ddcal.txt', 'r') as r:
# for line in r:
# temp=line.split()
# for i in temp:
# words.append(temp)
# words.sort()
# r.close()