2025-06-27T11:27:07Z
LCO light curves of gravitationally lensed quasars
This resource publishes the R and V band light curves of the individual
images of lensed quasars, in particular HE0435-1223, HE1104-1805,
HE2149-2745, and Q2237+0305. The light curves show intrinsic quasar
variations and additionally are affected by chromatic microlensing. Access
this data from our ivoa.obscore table. The collection name is ``Chroma
ML``.
quasars
light-curves
gravitational-lensing
strong-gravitational-lensing
gravitational-microlensing
quasar-microlensing
Sorgenfrei, Christian; Schmidt, Robert W.;
Wambsganss, Joachim
1-meter Sinistro telescopes
Las Cumbres Observatory (LCO)
2024A&A...683A.119S
Research
Archive
Optical
pointed
archival
spectrum
MAXREC=1
//products#table
//ssap#plainlocation
//ssap#simpleCoverage
make_view
previews
{
'he0435': {
'lens_name': 'HE 0435-1223',
'ra': 069.56208,
'dec': -12.28733,
},
'he1104': {
'lens_name': 'HE 1104-1805',
},
'he2149': {
'lens_name': 'HE2149-2745',
},
'q2237': {
'lens_name': 'Q2237+0305',
},
}
row = {}
mat = re.match(".*/(.*)(.)-ts.txt$", self.sourceToken)
obj_name = mat.group(1)
row["ssa_bandpass"] = "Bessell "+mat.group(2)
if row["ssa_bandpass"]=='Bessell R':
row["ssa_specstart"], row["ssa_specend"] = 500e-9, 850e-9
elif row["ssa_bandpass"]=='Bessell V':
row["ssa_specstart"], row["ssa_specend"] = 485e-9, 670e-9
row.update(object_meta[obj_name])
with open(self.sourceToken) as f:
lines = f.readlines()
if "ra" not in row:
row["ra"], row["dec"] = simbadinterface.getSimbadPositions(
row["lens_name"])
# col 0 is mjd; and then we have 4..8 columns with photometry
# for the components which we return as separate time series
row["t_min"] = float(lines[0].split()[0])
row["t_max"] = float(lines[-1].split()[0])
row["ssa_length"] = len(lines)
base_st = self.sourceToken[:-4]
# we munge the accrefs to lose the .txt and add the component
# id
n_comp = (len(lines[0].split())-1)//2
for comp_id in [chr(c) for c in range(65, 65+n_comp)]:
self.sourceToken = base_st+"-"+comp_id
row["component_id"] = comp_id
row["ssa_targname"] = row["lens_name"]+f" Comp. {comp_id}"
yield row
"\schema.raw_data"
\fullDLURL{sdl}
100000
"\rdId#sdl"
"application/x-votable+xml"
\standardPreviewPath
"image/png"
@ra
@dec
0.1/3600
sdl
ssa_pubDID
//ssap#view
The \metaString{source} light curve
for {ssa_targname} in the {ssa_bandpass} filter.
//timeseries#phot-0
phot_col = 1+(ord(self.sourceToken.ssa_row["component_id"])-65)*2
err_col = phot_col+1
with open(self.sourceToken.src_name) as f:
for ln in f:
parts = ln.split()
yield {
'obs_time': float(parts[0]),
'phot': float(parts[phot_col]),
'err_phot': float(parts[phot_col+1]),}
return self.sourceToken.ssa_row
\schema Datalink Service
# The pubdid is the inputsDir-relative path with
# a component Id added and the .txt removed. To read
# the data, undo this.
descriptor = ProductDescriptor.fromAccref(
pubDID, pubDID.split("?")[-1])
mat = re.search(r"\?(.*)-([ABCD])$", pubDID)
descriptor.src_name = base.getConfig("inputsDir"
) / (mat.group(1)+".txt")
descriptor.component_id = mat.group(2)
with base.getTableConn() as conn:
descriptor.ssa_row = next(conn.queryToDicts(
"SELECT * FROM \schema.data"
" WHERE ssa_pubdid=%(pubDID)s",
{"pubDID": pubDID}))
return descriptor
descriptor.data = rsc.makeData(
rd.getById("build-ts"),
forceSource=descriptor)
tab = descriptor.data.getPrimaryTable()
tab.setMeta("description",
base.getMetaText(tab, "description").format( **descriptor.ssa_row))
mag_ucd = "phot.mag;em.opt.V"
if descriptor.ssa_row["ssa_bandpass"]=="Bessell R":
mag_ucd = "phot.mag;em.opt.R"
tab.tableDef.getColumnByName("phot").ucd = mag_ucd
tab.tableDef.getColumnByName("err_phot").ucd = "stat.error;"+mag_ucd
return ("application/x-votable+xml;version=1.5",
votablewrite.getAsVOTable(descriptor.data, version=(1,5)))
\schema Web
web/form
self.assertHasStrings(
"HE 0435-1223 Comp. B",
"2015-09-13T09:24:20Z", # t_min 0435R
'/getproduct/mlcolour/data/he0435R-ts-A')
/getproduct/mlcolour/data/he0435R-ts-D