-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathphotospectra-splusdr1.py
More file actions
140 lines (125 loc) · 5.84 KB
/
photospectra-splusdr1.py
File metadata and controls
140 lines (125 loc) · 5.84 KB
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
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
'''
Make photo spectra from observed candidates JPLUS spectra
'''
from __future__ import print_function
import numpy as np
import glob
import json
import matplotlib.pyplot as plt
from astropy.table import Table
#import seaborn as sns
import sys
import argparse
import os
from colour import Color
Number = []
n = 1
mag_auto = [[] for _ in range(n)]
mag_ISO_GAUSS = [[] for _ in range(n)]
mag_aper = [[] for _ in range(n)]
mag_auto_WORSTPSF = [[] for _ in range(n)]
#Error
mag_auto_err = [[] for _ in range(n)]
mag_ISO_GAUSS_err = [[] for _ in range(n)]
wl = [3485, 3785, 3950, 4100, 4300, 4803, 5150, 6250, 6600, 7660, 8610, 9110]
color = ["#CC00FF", "#9900FF", "#6600FF", "#0000FF", "#009999", "#006600", "#DD8000", "#FF0000", "#CC0066", "#990033", "#660033", "#330034"]
marker = ["s", "o", "o", "o", "o", "s", "o", "s", "o", "s", "o", "s"] ### tienen todos los filtros
wl1 = [ 3785, 3950, 4100, 4300, 4803, 5150, 6250, 6600, 7660, 8610, 9110]
color1 = [ "#9900FF", "#6600FF", "#0000FF", "#009999", "#006600", "#DD8000", "#FF0000", "#CC0066", "#990033", "#660033", "#330034"]
marker1 = [ "o", "o", "o", "o", "s", "o", "s", "o", "s", "o", "s"] # No tiene el primer filtro
parser = argparse.ArgumentParser(
description="""Write wave and magnitude of a spectrum""")
parser.add_argument("source", type=str,
default="known-PN-jplus-idr",
help="Name of source, taken the prefix ")
parser.add_argument("--debug", action="store_true",
help="Print out verbose debugging info about each line in region file")
args = parser.parse_args()
file_ = args.source + ".tab"
data = Table.read(file_, format="ascii.tab")
for i in range(1):
print(i)
mag_auto[i].append(data["uJAVA_auto"][i])
mag_auto[i].append(data["J0378_auto"][i])
mag_auto[i].append(data["J0395_auto"][i])
mag_auto[i].append(data["J0410_auto"][i])
mag_auto[i].append(data["J0430_auto"][i])
mag_auto[i].append(data["gSDSS_auto"][i])
mag_auto[i].append(data["J0515_auto"][i])
mag_auto[i].append(data["rSDSS_auto"][i])
mag_auto[i].append(data["J0660_auto"][i])
mag_auto[i].append(data["iSDSS_auto"][i])
mag_auto[i].append(data["J0861_auto"][i])
mag_auto[i].append(data["zSDSS_auto"][i])
#Petro
mag_ISO_GAUSS[i].append(data["uJAVA_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["J0378_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["J0395_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["J0410_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["J0430_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["gSDSS_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["J0515_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["rSDSS_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["J0660_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["iSDSS_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["J0861_ISO_GAUSS"][i])
mag_ISO_GAUSS[i].append(data["zSDSS_ISO_GAUSS"][i])
#ERRO AUTO
mag_auto_err[i].append(float(data["uJAVA_auto_err"][i]))
mag_auto_err[i].append(float(data["J0378_auto_err"][i]))
mag_auto_err[i].append(float(data["J0395_auto_err"][i]))
mag_auto_err[i].append(float(data["J0410_auto_err"][i]))
mag_auto_err[i].append(float(data["J0430_auto_err"][i]))
mag_auto_err[i].append(float(data["gSDSS_auto_err"][i]))
mag_auto_err[i].append(float(data["J0515_auto_err"][i]))
mag_auto_err[i].append(float(data["rSDSS_auto_err"][i]))
mag_auto_err[i].append(float(data["J0660_auto_err"][i]))
mag_auto_err[i].append(float(data["iSDSS_auto_err"][i]))
try:
mag_auto_err[i].append(float(data["J0861_auto_err"][i]))
except ValueError:
mag_auto_err[i].append(float(0.0))
mag_auto_err[i].append(float(data["zSDSS_auto_err"][i]))
print(mag_auto_err)
#ERRO ISO
# mag_ISO_GAUSS_err[i].append(data["uJAVA_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["J0378_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["J0395_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["J0410_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["J0430_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["gSDSS_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["J0515_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["rSDSS_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["J0660_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["iSDSS_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["J0861_ISO_GAUSS_err"][i])
# mag_ISO_GAUSS_err[i].append(data["zSDSS_ISO_GAUSS_err"][i])
font = {'family': 'serif',
'color': 'black',
'weight': 'normal',
'size': 16,
}
plotfile = "photospectrum_splus_"+str(data["id"][i].split("18.")[-1].split(".g")[0])+"_auto.pdf"
fig = plt.figure(figsize=(15.5, 9.5))
ax = fig.add_subplot(1,1,1)
plt.tick_params(axis='x', labelsize=42)
plt.tick_params(axis='y', labelsize=42)
ax.set_xlim(xmin=3000, xmax=9700)
#ax.set_ylim(ymin=17.5,ymax=23)
#ax1.set_xlabel(r'$\lambda$')
ax.set_xlabel(r'Wavelength $[\mathrm{\AA]}$', fontsize = 44)
ax.set_ylabel(r'Magnitude [AB]', fontsize = 44)
ax.plot(wl, mag_auto[i], '-k', alpha=0.2)#, label='Auto')
for wl1, mag, mag_err, colors, marker_ in zip(wl, mag_auto[i], mag_auto_err[i], color, marker):
ax.scatter(wl1, mag, color = colors, marker=marker_, s=600, zorder=10)
ax.errorbar(wl1, mag, yerr=mag_err, marker='.', fmt='.', color=colors, ecolor=colors, elinewidth=5.9, markeredgewidth=5.2, capsize=20)
plt.text(0.06, 0.1, "Fr 2-21",
transform=ax.transAxes, fontsize=48, fontdict=font)
#plt.subplots_adjust(bottom=0.19)
plt.legend(fontsize=20.0)
plt.tight_layout()
plt.gca().invert_yaxis()
save_path = '../../../Dropbox/JPAS/paper-phot/'
file_save = os.path.join(save_path, plotfile)
plt.savefig(file_save)
plt.clf()