def searchVS(h, cat='GCVS', caturl=None, maxSearchRadius=5):
'''
Search the area of the image in h (hdu, fits) for variable stars
using the given catalogue. The cat imput parameter denotes the
catalogue:
'GCVS' - use the General Catalogue of Variable Stars
'VSX' - use the AAVSO Variable Star Index
'USER' - use the custom url passed in caturl parameter
The maximum search radius is specified by maxSearchRadius (deg).
Returns a list of VS in the circle with the frame inscribed in it.
'''
if cat=='GCVS' :
caturl='http://vizier.u-strasbg.fr/viz-bin/votable/-A?-source=B/vsx&'
elif cat=='VSX' :
caturl='http://heasarc.gsfc.nasa.gov/cgi-bin/vo/cone/coneGet.pl?table=aavsovsx&'
else :
caturl=caturl
w=wcs.WCS(h.header, fix=False)
cen=w.all_pix2world(array([[h.header['NAXIS1'], h.header['NAXIS2']]])/2,0)[0]
# Half of the hypotenuse of the frame = radius of the search
rad=sqrt(sum((real(eigvals(w.wcs.cd))*array([h.header['NAXIS1'], h.header['NAXIS2']]))**2))/2
# Clamp to reasonable size
rad=min(rad, maxSearchRadius)
r=conesearch(caturl,pos=list(cen),radius=rad)
return r
def main(options):
objName = options.srcID
radInDeg = float(options.radius)
outFileName = options.output
inOnePatch = options.patch
# Get the sources in the cut-out as a VO table
url = 'http://vo.astron.nl/tgssadr/q/cone/scs.xml'
t = vo.conesearch(url, pos = vo.object2pos(objName), radius = radInDeg )
f = open(outFileName, 'w')
if options.patch:
# Write all selected components as a single patch
f.write("FORMAT = Name, Type, Patch, Ra, Dec, I, Q, U, V, MajorAxis, MinorAxis, Orientation, ReferenceFrequency='147610000.0', SpectralIndex='[]'\n\n")
# Get the coordinates of the source
c = SkyCoord(float(vo.object2pos(objName)[0]), float(vo.object2pos(objName)[1]), unit='deg')
newRA = c.to_string('hmsdms').split(' ')[0].replace('h',':').replace('m',':').replace('s','')
newDec = c.to_string('hmsdms').split(' ')[1].replace('d','.').replace('m','.').replace('s','')
# Create the patch
f.write(' , , Patch, {ra}, {dec}\n'.format(ra=newRA, dec=newDec))
for item in t:
# VO table has RA and DEC in degrees. Convert it to hmsdms format
c = SkyCoord(float(item['RA']), float(item['DEC']), unit='deg')
newRA = c.to_string('hmsdms').split(' ')[0].replace('h',':').replace('m',':').replace('s','')
newDec = c.to_string('hmsdms').split(' ')[1].replace('d','.').replace('m','.').replace('s','')
# Determine whether source is extended
sratio = item['Sint']/item['Spk']
if sratio > 1.25:
srctype='GAUSSIAN'
majaxsize = (max([item['MAJAX'],25.])**2-25.**2)**0.5
minaxsize = (max([item['MINAX'],25.])**2-25.**2)**0.5
else:
srctype='POINT'
majaxsize = ""
minaxsize = ""
# Write an entry for this source into the output file inside the above defined patch
f.write("{name}, {type}, Patch, {ra}, {dec}, {i}, 0, 0, 0, {ma}, {mi}, {pa}, , [-0.8]\n".format(name=item['ID'], type=srctype, ra=newRA, dec=newDec, i=item['Sint']/1e3, ma=majaxsize, mi=minaxsize, pa=item['PA']))
else:
# Writes sources without a patch
f.write("FORMAT = Name, Type, Ra, Dec, I, Q, U, V, MajorAxis, MinorAxis, Orientation, ReferenceFrequency='147610000.0', SpectralIndex='[]'\n\n")
for item in t:
# VO table has RA and DEC in degrees. Convert it to hmsdms format
c = SkyCoord(float(item['RA']), float(item['DEC']), unit='deg')
newRA = c.to_string('hmsdms').split(' ')[0].replace('h',':').replace('m',':').replace('s','')
newDec = c.to_string('hmsdms').split(' ')[1].replace('d','.').replace('m','.').replace('s','')
# Determine whether source is extended
sratio = item['Sint']/item['Spk']
if sratio > 1.25:
srctype='GAUSSIAN'
majaxsize = (max([item['MAJAX'],25.])**2-25.**2)**0.5
minaxsize = (max([item['MINAX'],25.])**2-25.**2)**0.5
else:
srctype='POINT'
majaxsize = ""
minaxsize = ""
# Write an entry for this source into the output file
f.write("{name}, {type}, {ra}, {dec}, {i}, 0, 0, 0, {ma}, {mi}, {pa}, , [-0.8]\n".format(name=item['ID'], type=srctype, ra=newRA, dec=newDec, i=item['Sint']/1e3, ma=majaxsize, mi=minaxsize, pa=item['PA']))
f.close()
def conesearch(ra,dec,radius,db_url,cp):
"""
Search for objects inside the 'radius' around ('ra','dec,) in 'catalog'.
Input:
- ra : right ascension (degrees)
- dec : declination (degrees)
- radius : search radius, value in degrees
- catalog : options are 'sdss-7', '2mass', 'ukidss-8', 'usno-a2', 'usno-b1'
"""
try:
logging.debug("Position (%s,%s) and radius, in degrees, (%s)", ra, dec, radius)
res = vo.conesearch( db_url, (ra,dec), radius, verbosity=3)
except vo.dal.DALServiceError, e:
logging.exception("Exception raised: %s", e)
print "Service not responding"
return None
def conesearch(ra, dec, radius, db_url, cp):
"""
Search for objects inside the 'radius' around ('ra','dec,) in 'catalog'.
Input:
- ra : right ascension (degrees)
- dec : declination (degrees)
- radius : search radius, value in degrees
- catalog : options are 'sdss-7', '2mass', 'ukidss-8', 'usno-a2', 'usno-b1'
"""
try:
logging.debug("Position (%s,%s) and radius, in degrees, (%s)", ra, dec,
radius)
res = vo.conesearch(db_url, (ra, dec), radius, verbosity=3)
except vo.dal.DALServiceError, e:
logging.exception("Exception raised: %s", e)
print "Service not responding"
return None
def coneSearch(VOService, position, radius):
"""
Returns table from a VO cone search.
Parameters
----------
VOService : str
Name of VO service to query (must be one of 'WENSS' or 'NVSS')
position : list of floats
A list specifying a new position as [RA, Dec] in either makesourcedb
format (e.g., ['12:23:43.21', '+22.34.21.2']) or in degrees (e.g.,
[123.2312, 23.3422])
radius : float or str, optional
Radius in degrees (if float) or 'value unit' (if str; e.g.,
'30 arcsec') for cone search region in degrees
"""
import pyvo as vo
log = logging.getLogger('LSMTool.Load')
# Define allowed cone-search databases. These are the ones we know how to
# convert to makesourcedb-formated sky models.
columnMapping = {
'nvss':{'NVSS':'name', 'RAJ2000':'ra', 'DEJ2000':'dec', 'S1.4':'i',
'MajAxis':'majoraxis', 'MinAxis':'minoraxis', 'referencefrequency':1.4e9},
'wenss':{'Name':'name', 'RAJ2000':'ra', 'DEJ2000':'dec', 'Sint':'i',
'MajAxis':'majoraxis', 'MinAxis':'minoraxis', 'PA':'orientation',
'referencefrequency':325e6}
}
if VOService.lower() in allowedVOServices:
url = allowedVOServices[VOService.lower()]
else:
raise ValueError('VO query service not known. Allowed services are: '
'{0}'.format(allowedVOServices.keys()))
# Get raw VO catalog
log.debug('Querying VO service...')
try:
position = [RA2Angle(position[0])[0].value, Dec2Angle(position[1])[0].value]
except TypeError:
raise ValueError('VO query positon not understood.')
try:
radius = Angle(radius, unit='degree').value
except TypeError:
raise ValueError('VO query radius not understood.')
VOcatalog = vo.conesearch(url, position, radius=radius)
log.debug('Creating table...')
try:
table = Table.read(VOcatalog.votable)
except IndexError:
# Empty query result
log.error('No sources found. Sky model is empty.')
table = makeEmptyTable()
return table
# Remove unneeded columns
colsToRemove = []
for colName in table.colnames:
if colName not in columnMapping[VOService.lower()]:
colsToRemove.append(colName)
elif columnMapping[VOService.lower()][colName] not in allowedColumnNames:
colsToRemove.append(colName)
for colName in colsToRemove:
table.remove_column(colName)
# Rename columns to match makesourcedb conventions
for colName in table.colnames:
if colName != allowedColumnNames[columnMapping[VOService.lower()][colName]]:
table.rename_column(colName, allowedColumnNames[columnMapping[
VOService.lower()][colName]])
# Convert RA and Dec to Angle objects
log.debug('Converting RA...')
RARaw = table['Ra'].data.tolist()
RACol = Column(name='Ra', data=RA2Angle(RARaw))
def raformat(val):
return Angle(val, unit='degree').to_string(unit='hourangle', sep=':')
RACol.format = raformat
RAIndx = table.keys().index('Ra')
table.remove_column('Ra')
table.add_column(RACol, index=RAIndx)
log.debug('Converting Dec...')
DecRaw = table['Dec'].data.tolist()
DecCol = Column(name='Dec', data=Dec2Angle(DecRaw))
def decformat(val):
return Angle(val, unit='degree').to_string(unit='degree', sep='.')
DecCol.format = decformat
DecIndx = table.keys().index('Dec')
table.remove_column('Dec')
table.add_column(DecCol, index=DecIndx)
# Make sure Name is a str column
NameRaw = table['Name'].data.tolist()
NameCol = Column(name='Name', data=NameRaw, dtype='{}100'.format(numpy_type))
table.remove_column('Name')
table.add_column(NameCol, index=0)
# Convert flux and axis values to floats
for name in ['I', 'MajorAxis', 'MinorAxis', 'Orientation']:
if name in table.colnames:
indx = table.index_column(name)
intRaw = table[name].data.tolist()
floatCol = Column(name=name, data=intRaw, dtype='float')
table.remove_column(name)
table.add_column(floatCol, index=indx)
# Add source-type column
types = ['POINT'] * len(table)
if 'majoraxis' in columnMapping[VOService.lower()].values():
for i, maj in enumerate(table[allowedColumnNames['majoraxis']]):
if maj > 0.0:
types[i] = 'GAUSSIAN'
col = Column(name='Type', data=types, dtype='{}100'.format(numpy_type))
table.add_column(col, index=1)
# Add reference-frequency column
refFreq = columnMapping[VOService.lower()]['referencefrequency']
col = Column(name='ReferenceFrequency', data=np.array([refFreq]*len(table), dtype=np.float))
table.add_column(col)
# Set column units and default values
def fluxformat(val):
return '{0:0.3f}'.format(val)
for i, colName in enumerate(table.colnames):
log.debug("Setting units for column '{0}' to {1}".format(
colName, allowedColumnUnits[colName.lower()]))
if colName == 'I':
table.columns[colName].unit = 'mJy'
table.columns[colName].convert_unit_to('Jy')
table.columns[colName].format = fluxformat
else:
table.columns[colName].unit = allowedColumnUnits[colName.lower()]
if hasattr(table.columns[colName], 'filled') and allowedColumnDefaults[colName.lower()] is not None:
fillVal = allowedColumnDefaults[colName.lower()]
if colName == 'SpectralIndex':
while len(fillVal) < 1:
fillVal.append(0.0)
log.debug("Setting default value for column '{0}' to {1}".
format(colName, fillVal))
table.columns[colName].fill_value = fillVal
return table
def coneSearch(VOService, position, radius):
"""
Returns table from a VO cone search.
Parameters
----------
VOService : str
Name of VO service to query (must be one of 'WENSS' or 'NVSS')
position : list of floats
A list specifying a new position as [RA, Dec] in either makesourcedb
format (e.g., ['12:23:43.21', '+22.34.21.2']) or in degrees (e.g.,
[123.2312, 23.3422])
radius : float or str, optional
Radius in degrees (if float) or 'value unit' (if str; e.g.,
'30 arcsec') for cone search region in degrees
"""
import pyvo as vo
log = logging.getLogger('LSMTool.Load')
# Define allowed cone-search databases. These are the ones we know how to
# convert to makesourcedb-formated sky models.
columnMapping = {
'nvss': {
'NVSS': 'name',
'RAJ2000': 'ra',
'DEJ2000': 'dec',
'S1.4': 'i',
'MajAxis': 'majoraxis',
'MinAxis': 'minoraxis',
'referencefrequency': 1.4e9
},
'wenss': {
'Name': 'name',
'RAJ2000': 'ra',
'DEJ2000': 'dec',
'Sint': 'i',
'MajAxis': 'majoraxis',
'MinAxis': 'minoraxis',
'PA': 'orientation',
'referencefrequency': 325e6
}
}
if VOService.lower() in allowedVOServices:
url = allowedVOServices[VOService.lower()]
else:
raise ValueError('VO query service not known. Allowed services are: '
'{0}'.format(allowedVOServices.keys()))
# Get raw VO catalog
log.debug('Querying VO service...')
try:
position = [
RA2Angle(position[0])[0].value,
Dec2Angle(position[1])[0].value
]
except TypeError:
raise ValueError('VO query positon not understood.')
try:
radius = Angle(radius, unit='degree').value
except TypeError:
raise ValueError('VO query radius not understood.')
VOcatalog = vo.conesearch(url, position, radius=radius)
log.debug('Creating table...')
try:
table = Table.read(VOcatalog.votable)
except IndexError:
# Empty query result
log.error('No sources found. Sky model is empty.')
table = makeEmptyTable()
return table
# Remove unneeded columns
colsToRemove = []
for colName in table.colnames:
if colName not in columnMapping[VOService.lower()]:
colsToRemove.append(colName)
elif columnMapping[
VOService.lower()][colName] not in allowedColumnNames:
colsToRemove.append(colName)
for colName in colsToRemove:
table.remove_column(colName)
# Rename columns to match makesourcedb conventions
for colName in table.colnames:
if colName != allowedColumnNames[columnMapping[VOService.lower()]
[colName]]:
table.rename_column(
colName,
allowedColumnNames[columnMapping[VOService.lower()][colName]])
# Convert RA and Dec to Angle objects
log.debug('Converting RA...')
RARaw = table['Ra'].data.tolist()
RACol = Column(name='Ra', data=RA2Angle(RARaw))
def raformat(val):
return Angle(val, unit='degree').to_string(unit='hourangle', sep=':')
RACol.format = raformat
RAIndx = table.keys().index('Ra')
table.remove_column('Ra')
table.add_column(RACol, index=RAIndx)
log.debug('Converting Dec...')
DecRaw = table['Dec'].data.tolist()
DecCol = Column(name='Dec', data=Dec2Angle(DecRaw))
def decformat(val):
return Angle(val, unit='degree').to_string(unit='degree', sep='.')
DecCol.format = decformat
DecIndx = table.keys().index('Dec')
table.remove_column('Dec')
table.add_column(DecCol, index=DecIndx)
# Make sure Name is a str column
NameRaw = table['Name'].data.tolist()
NameCol = Column(name='Name',
data=NameRaw,
dtype='{}100'.format(numpy_type))
table.remove_column('Name')
table.add_column(NameCol, index=0)
# Convert flux and axis values to floats
for name in ['I', 'MajorAxis', 'MinorAxis', 'Orientation']:
if name in table.colnames:
indx = table.index_column(name)
intRaw = table[name].data.tolist()
floatCol = Column(name=name, data=intRaw, dtype='float')
table.remove_column(name)
table.add_column(floatCol, index=indx)
# Add source-type column
types = ['POINT'] * len(table)
if 'majoraxis' in columnMapping[VOService.lower()].values():
for i, maj in enumerate(table[allowedColumnNames['majoraxis']]):
if maj > 0.0:
types[i] = 'GAUSSIAN'
col = Column(name='Type', data=types, dtype='{}100'.format(numpy_type))
table.add_column(col, index=1)
# Add reference-frequency column
refFreq = columnMapping[VOService.lower()]['referencefrequency']
col = Column(name='ReferenceFrequency',
data=np.array([refFreq] * len(table), dtype=np.float))
table.add_column(col)
# Set column units and default values
def fluxformat(val):
return '{0:0.3f}'.format(val)
for i, colName in enumerate(table.colnames):
log.debug("Setting units for column '{0}' to {1}".format(
colName, allowedColumnUnits[colName.lower()]))
if colName == 'I':
table.columns[colName].unit = 'mJy'
table.columns[colName].convert_unit_to('Jy')
table.columns[colName].format = fluxformat
else:
table.columns[colName].unit = allowedColumnUnits[colName.lower()]
if hasattr(table.columns[colName], 'filled') and allowedColumnDefaults[
colName.lower()] is not None:
fillVal = allowedColumnDefaults[colName.lower()]
if colName == 'SpectralIndex':
while len(fillVal) < 1:
fillVal.append(0.0)
log.debug("Setting default value for column '{0}' to {1}".format(
colName, fillVal))
table.columns[colName].fill_value = fillVal
return table
def main(srcID, radius, DoDec=True, output="tgss.skymodel"):
"""
tgss2bbs2:
This inputs are srcID (string) as a co-ordinate or object ID
radius (float) is radius in degrees, converted in caller function
DoDec (bool) Option to do deconvolution
The result is saved in atext file which is both logged locally and sent to the user
through wget or through the browser
"""
patch = True
objName = srcID
radInDeg = float(radius)
outFileName = output
inOnePatch = patch
# Get the sources in the cut-out as a VO table
url = 'http://vo.astron.nl/tgssadr/q/cone/scs.xml'
try:
t = vo.conesearch(url,
pos=get_icrs_coordinates(objName),
radius=radInDeg)
except IndexError:
f = open(outFileName, 'w')
f.write(
"Index Error when polling VirtualObservatory. Bad object name??")
f.close()
return
f = open(outFileName, 'w')
if patch:
# Write all selected components as a single patch
f.write(
"FORMAT = Name, Type, Patch, Ra, Dec, I, Q, U, V, MajorAxis, MinorAxis, Orientation, ReferenceFrequency='147500000.0', SpectralIndex='[]'\n\n"
)
# Get the coordinates of the source
c = radec_to_string.radec_to_string(
[
get_icrs_coordinates(objName).ra.value,
get_icrs_coordinates(objName).dec.value
],
separators=[':', ':', '$', '.', ".", ''])
newRA = c.split("$")[0]
newDec = c.split("$")[1]
# Create the header
f.write(' , , Patch, {ra}, {dec}\n'.format(ra=newRA, dec=newDec))
for item in t:
# VO table has RA and DEC in degrees. Convert it to hmsdms format
coords = radec_to_string.radec_to_string(
[float(item['RA']), float(item['DEC'])],
separators=[':', ':', '$', '.', ".", ''])
newRA = coords.split("$")[0]
newDec = coords.split("$")[1]
#use radec_to_string to convert coordinates instead of Astropy
if ((item['Sint'] / item['Spk']) >
(2 * math.sqrt(0.027**2 +
(0.784 * (item['Spk'] / item['Island_RMS'])**
(-0.925))**2) + 1.071)):
srctp = 'GAUSSIAN'
if not DoDec:
maja = item['MAJAX']
mina = item['MINAX']
pax = item['PA']
else:
bmaj1, bmin1, bpa1 = Beam_deconv_new.psfTGSS1(item["DEC"])
A1, B1, C1 = Beam_deconv_new.elliptic2quadratic(
bmaj1, bmin1, bpa1)
A2, B2, C2 = Beam_deconv_new.elliptic2quadratic(
item["MAJAX"], item["MINAX"], item["PA"])
Ak, Bk, Ck = Beam_deconv_new.deconvolve(
A2, B2, C2, A1, B1, C1)
maja, mina, pax = Beam_deconv_new.quadratic2elliptic(
Ak, Bk, Ck)
if maja == None:
maja = ""
mina = ""
pax = ""
else:
## Some nice pretty formatting
maja = "{0:0.1f}".format(maja)
mina = "{0:0.1f}".format(mina)
pax = "{0:0.1f}".format(pax)
if pax < 10 and pax != "":
pa1 = "{0:.2f}".format(float(pax))
else:
pa1 = pax
if item['PA'] > 0:
paxi = ' ' + str(pa1)
else:
paxi = pa1
if pax == '' or pax == 'nan': #Deconvolution fails to converge. Made it into a point source for now
srctp = 'POINT '
maja = ' '
mina = ' '
paxi = ' '
else:
srctp = 'POINT '
maja = ' '
mina = ' '
paxi = ' '
# Write an entry for this source into the output file inside the above defined patch
f.write(
"{name}, {src}, Patch, {ra}, {dec}, {i}, 0, 0, 0, {ma}, {mi}, {pa}, , [-0.73]\n"
.format(name=item['ID'],
src=srctp,
ra=newRA,
dec=newDec,
i='{0: >9}'.format(format(item['Sint'] / 1e3, '.4f')),
ma=maja,
mi=mina,
pa=paxi))
else:
# Writes sources without a patch
f.write(
"FORMAT = Name, Type, Ra, Dec, I, Q, U, V, MajorAxis, MinorAxis, Orientation, ReferenceFrequency='147610000.0', SpectralIndex='[]'\n\n"
)
for item in t:
# VO table has RA and DEC in degrees. Convert it to hmsdms format
coords = radec_to_string.radec_to_string(
[float(item['RA']), float(item['DEC'])],
separators=[':', ':', '$', '.', ".", ''])
newRA = coords.split("$")[0]
newDec = coords.split("$")[1]
# Write an entry for this source into the output file
#Case Gaussian
f.write(
"{name}, GAUSSIAN, {ra}, {dec}, {i}, 0, 0, 0, {ma}, {mi}, {pa}, , [-0.8]\n"
.format(name=item['ID'],
ra=newRA,
dec=newDec,
i=item['Sint'] / 1e3,
ma=item['MAJAX'],
mi=item['MINAX'],
pa=item['PA']))
f.close()
def main(ms_input, SkymodelPath, Radius=1.5, ResultsFile, DoDownload="True"):
"""
Download the LoTSS skymodel for the target field
Parameters
----------
ms_input : str
String from the list (map) of the target MSs
SkymodelPath : str
Full name (with path) to the skymodel; if YES is true, the LOTSS skymodel will be downloaded here
Radius : float (default = 1.5)
Radius for the LOTSS cone search in degrees
DoDownload : str ("Force" or "True" or "False")
Download or not the LOTSS skymodel.
"Force": download skymodel from LOTSS, delete existing skymodel if needed.
"True" or "Yes": use existing skymodel file if it exists, download skymodel from
LOTSS if it does not.
"False" or "No": Do not download skymodel, raise an exception if skymodel
file does not exist.
"""
FileExists = os.path.isfile(SkymodelPath)
if (not FileExists and os.path.exists(SkymodelPath)):
raise ValueError("download_lotss_skymodel: WTF! Path: \"%s\" exists but is not a file!"%(SkymodelPath))
download_flag = False
if DoDownload.upper() == "FORCE":
if FileExists:
os.remove(SkymodelPath)
download_flag = True
elif DoDownload.upper() == "TRUE" or DoDownload.upper() == "YES":
if FileExists:
print "USING the exising skymodel in "+ SkymodelPath
return
else:
download_flag = True
elif DoDownload.upper() == "FALSE" or DoDownload.upper() == "NO":
if FileExists:
print "USING the exising skymodel in "+ SkymodelPath
return
else:
raise ValueError("download_lotss_skymodel: Path: \"%s\" does not exist and LOTSS download is disabled!"%(SkymodelPath))
# If we got here, then we are supposed to download the skymodel.
assert download_flag == True # Jaja, belts and suspenders...
print "DOWNLOADING LOTSS Skymodel for the target into "+ SkymodelPath
# Reading a MS to find the coordinate (pyrap)
#[RATar,DECTar]=grab_coo_MS(input2strlist_nomapfile(ms_input)[0])
#mypos = ( RATar, DECTar )
mypos = grab_coo_MS(input2strlist_nomapfile(ms_input)[0])
## this is the tier 1 database to query
url = 'http://vo.astron.nl/lofartier1/q/cone/scs.xml'
t = vo.conesearch( url, pos=mypos, radius=Radius )
## convert to VO table
tb = t.votable.to_table()
## find unresolved
nsrcs = float( len( tb.columns['Resolved'] ) )
unresolved_index = np.where( tb.columns['Resolved'] == 'U' )[0]
perc_unres = len( unresolved_index ) / nsrcs * 100.
print 'Percentage of sources which are unresolved: '+str( perc_unres )
utb = tb[unresolved_index]
## sort by flux
flux_sort = utb.argsort('Total_flux')
utb_sorted = utb[ flux_sort[::-1] ]
## keep only RA, DEC, Source_id and reorder the columns
utb_sorted.keep_columns(['RA','DEC','Source_id'])
utb_final = utb_sorted[ 'RA', 'DEC', 'Source_id' ]
utb_final.write( ResultsFile, format='ascii.csv' )
return
def getdataforRADEC(self, ra, dec, alldata=None,
ramin=None, ramax=None, decmin=None, decmax=None, size=None):
if alldata==None:
alldata=self.alldata
if ra<0.0:ra+=360.0
if ra>=360.0:ra-=360.0
if ramin!=None:
if (ra-ramin)<-180:
ramin-=360.0
ramax-=360.0
elif (ra-ramin)>180:
ramin+=360.0
ramax+=360.0
radius = 0.5
if size!=None:
radius = np.sqrt(2)/2.0*size
if self.options.debug:
print('DEBUG: skipping download!')
else:
print('Downloading data')
import pyvo
Mmax=21.0
if (self.options.Mmax!=None):
Mmax = self.options.Mmax
objects = pyvo.conesearch(self.options.cathtml, pos=(ra,dec), radius=size)
tbdata = objects.table
tbdata = self.add_magnitude(tbdata,
'i1_f_ap1', 'L', 'i1_df_ap1', 'L_err')
tbdata = self.add_magnitude(tbdata,
'i2_f_ap1', 'M', 'i2_df_ap1', 'M_err')
tbdata = self.add_magnitude(tbdata,
'i3_f_ap1', 'N', 'i3_df_ap1', 'N_err')
tbdata = self.add_magnitude(tbdata,
'i4_f_ap1', 'Q', 'i4_df_ap1', 'Q_err')
if not tbdata:
print('Data download failed. Exiting...')
return(1)
# calculate mags
if self.options.verbose>1:
print('calculating mags...')
if ramin!=None:
mask = ((tbdata['ra']<ramax) & (tbdata['ra']>ramin) &
(tbdata['dec']<decmax) & (tbdata['dec']>decmin))
data2keep = tbdata[mask]
else:
data2keep = tbdata
print(data2keep)
if self.options.requiregrizy:
mask = ((data2keep[self.fluxcolname('L')] > 0) &
(data2keep[self.fluxcolname('M')] > 0) &
(data2keep[self.fluxcolname('N')] > 0) &
(data2keep[self.fluxcolname('Q')] > 0))
data2keep = data2keep[mask]
# check if there are limits on the mags and uncertainties
for filt in self.filterlist:
if self.options.Mmin!=None:
mask = (data2keep[self.fluxcolname(filt)]>=self.options.Mmin)
data2keep = data2keep[mask]
if self.options.Mmax!=None:
mask = (data2keep[self.fluxcolname(filt)]<=self.options.Mmax)
data2keep = data2keep[mask]
if self.options.dMmin!=None:
mask = (data2keep[self.errcolname(filt)]>=self.options.dMmin)
data2keep = data2keep[mask]
if self.options.dMmax!=None:
mask = (data2keep[self.errcolname(filt)]<=self.options.dMmax)
data2keep = data2keep[mask]
if alldata is None:
self.alldata = table.Table(data2keep, masked=True)
else:
alldata = vstack(alldata, data2keep)
self.alldata = table.unique(alldata, keys=['ra', 'dec'])
return(0)