/
load_SDSS_phot_py2.py
executable file
·143 lines (134 loc) · 4.97 KB
/
load_SDSS_phot_py2.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
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
141
142
143
import numpy as np
import urllib2
import urllib
import os
import os.path
import argparse
import logging
import pandas as pd
from astropy.table import Table as tab
from astropy import coordinates as coord
from astropy import units as u
from astropy.io import votable
def load_SDSS_phot_dr7(ra,dec,search_radius,pandas=None,ver=None,columns=None):
'''
ra in degrees, dec in degrees, search_radius in arcmin.
'''
def gen_SDSS_sql(ra, dec, search_radius,columns=columns):
if columns is None:
query_out = ' p.*'
else:
query_out = columns+',p.ra,p.dec'
query_from = ' FROM fGetNearbyObjEq({ra},{dec},{search_radius}) n, PhotoPrimary p WHERE n.objID=p.objID'.format(ra=str(ra),dec=str(dec),search_radius=str(search_radius))
query_str='SELECT'+query_out+query_from
return query_str
def query_SDSS(sSQL_query):
sURL = 'http://cas.sdss.org/dr7/en/tools/search/x_sql.asp'
# for POST request
values = {'cmd': sSQL_query,
'format': 'csv'}
data = urllib.urlencode(values)
request = urllib2.Request(sURL, data)
response = urllib2.urlopen(request)
return response.read()
sql_str=gen_SDSS_sql(ra,dec,search_radius)
sdss_ds=query_SDSS(sql_str)
lines=sdss_ds.split('\n')
nobj=len(lines)-2
if ver:print(str(nobj)+' SDSS objects found')
if nobj >0:
cols=lines[0].split(',')
#pop columnes and the EOF line
lines.pop(0)
lines.pop(-1)
rows=[]
for i in lines:
tt=i.split(',')
tt=map(float,tt)
rows.append(tt)
tab_out=tab(rows=rows,names=cols)
if pandas:
tab_out=pd.DataFrame.from_records(tab_out._data)
radec=coord.SkyCoord(ra,dec,unit=(u.degree,u.degree),frame='icrs')
sdss=coord.SkyCoord(tab_out.ra, tab_out.dec, unit=(u.degree,u.degree),frame='icrs')
tab_out['dist_arcsec'] = radec.separation(sdss).arcsec
#should fix objID to string
#should find out what p.type means
return tab_out
else:
return []
def load_SDSS_phot_dr12(ra,dec,search_radius,pandas=None,ver=None,columns=None):
'''
ra in degrees, dec in degrees, search_radius in arcmin.
'''
def gen_SDSS_sql(ra, dec, search_radius,columns=columns):
if columns is None:
query_out = ' p.*'
else:
query_out = columns+',p.ra,p.dec'
query_from = ' FROM fGetNearbyObjEq({ra},{dec},{search_radius}) n, PhotoPrimary p WHERE n.objID=p.objID'.format(ra=str(ra),dec=str(dec),search_radius=str(search_radius))
query_str='SELECT'+query_out+query_from
return query_str
def query_SDSS(sSQL_query):
sURL = 'http://skyserver.sdss.org/dr12/en/tools/search/x_sql.aspx?'
# for POST request
values = {'cmd': sSQL_query,
'format': 'csv'}
data = urllib.urlencode(values)
request = urllib2.Request(sURL, data)
response = urllib2.urlopen(request)
return response.read()
sql_str=gen_SDSS_sql(ra,dec,search_radius)
sdss_ds=query_SDSS(sql_str)
lines=sdss_ds.split('\n')
nobj=len(lines)-2
if ver:print(str(nobj)+' SDSS objects found')
if nobj >0:
#pop table name and the EOF line
lines.pop(0)
lines.pop(-1)
cols=lines[0].split(',')
#pop column
lines.pop(0)
rows=[]
for i in lines:
tt=i.split(',')
tt=map(float,tt)
rows.append(tt)
tab_out=tab(rows=rows,names=cols)
if pandas:
tab_out=pd.DataFrame.from_records(tab_out._data)
radec=coord.SkyCoord(ra,dec,unit=(u.degree,u.degree),frame='icrs')
sdss=coord.SkyCoord(tab_out.ra, tab_out.dec, unit=(u.degree,u.degree),frame='icrs')
tab_out['dist_arcsec'] = radec.separation(sdss).arcsec
#should fix objID to string
#should find out what p.type means
return tab_out
else:
return []
def IRSA_TAP(ra,dec,search_radius,irsa_table,pandas=False,sql_SELECT=None,sql_WHERE=None,verbose=False):
'''
'''
j2000 ="'"+"J2000"+"'"
sURL = 'http://irsa.ipac.caltech.edu/TAP/sync?QUERY='
str_from = 'FROM+'+irsa_table+'+'
if sql_SELECT == None :
str_select = 'SELECT+*+' #select all
else:
str_select = 'SELECT+'+sql_SELECT+'+'
if sql_WHERE == None :
str_where = 'WHERE+'
else:
str_where = 'WHERE+'+sql_WHERE+'+'
str_coord1 = 'CONTAINS(POINT('+j2000+',ra,dec),'
str_coord2 = 'CIRCLE('+j2000+','+str(ra)+','+str(dec)+','+str(search_radius)+'))=1'
str_coord=str_coord1+str_coord2
urlquery = sURL+str_select+str_from+str_where+str_coord
if verbose:
print(urlquery)
response=urllib2.urlopen(urlquery)
if pandas:
tab_out = votble.parse_single_table(response).to_pandas()
else:
tab_out = votable.parse_single_table(response)
return tab_out