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Astron. Astrophys. 362, L37-L40 (2000)
2. Data and method
2.1. The double quasar Q0957+561 and the data
The double quasar Q0957+561A,B was the first multiply imaged quasar
discovered (Walsh, Carswell & Weymann 1979). It consists of two
quasar images of mag and identical
redshift , separated by
. Image A is about 5 arcseconds away
from the center of the lensing galaxy, image B is about 1 arcsecond
off. Very briefly after its discovery, Chang & Refsdal (1979)
suggested that stellar mass objects in the light path of one of the
images can produce uncorrelated changes in its apparent brightness.
The lensing galaxy at is the central
galaxy of a rich cluster, whose weak lensing effects on background
galaxies have been seen (Barkana et al. 1999). Q0957+561A,B is the
best investigated gravitational lens with far more than 100 papers
written about it. The time delay between the two images has been
established to be around 417 days (e.g., Schild & Thomson 1997;
Kundic et al. 1998). Earlier
results on microlensing had shown that for a period of about 5 years,
there was a monotonic change between the time-delay-corrected apparent
brightnesses of images A and B (Schild 1996, Pelt et al. 1998, Refsdal
et al. 2000). The time and amplitude of that fluctuation is consistent
with microlensing due to low mass stars, which is expected to happen
again for image B before too long.
In Fig. 1 we show the lightcurves of images A and B covering
the epochs 1995-1997 for the leading image A (and epochs 1996-1998 for
the trailing image B), based on data by CKT. The 1995/1996 data set
has already been analysed with respect to microlensing by Schmidt
& Wambsganss (1998, hereafter SW98). Analysing the complete data
set which covers three full years instead of 160 days allows us here
to extend the mass limits by one order of magnitude. The difference
light curve in the lower panel of Fig. 1 has been calculated by
interpolating the data points of image B and subtracting them from the
corresponding data point of image A. We have only included data points
in the difference lightcurve where an interpolation was possible. It
is obvious from the lower part of Fig. 1 that there are no major
effects in the difference lightcurve. There are some trends visible,
but it is not clear whether they can be attributed to microlensing or
whether they are due to some other systematic effects. The dip around
day 1125, for example, is likely to be the effect of a lack of data
points for quasar B to interpolate in between. In any case, including
the 1- error bars, all the data points
are consistent with the conservative assumption that no microlensing
with an amplitude mag has been
detected.
![[FIGURE]](img14.gif) |
Fig. 1. Top: Lightcurves of image A (solid) and image B (open, shifted in time by days and in magnitude by mag). Bottom: "Difference lightcurve" between quasar images A and time- and magnitude shifted B. In order to guide the eye, dashed lines are drawn at differences of +0.025 mag and -0.025 mag. Julian dates correspond to image A data points.
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2.2. Numerics
The method we use is described in detail in SW98 and in Schmidt
(2000). The first step is to produce a "difference lightcurve" from
the data of images A and B, by shifting one set by the appropriate
time delay (we chose days, see
Kundic et al. 1998) and by the
difference in apparent brightness (
mag 1). The
second step is to either identify significant fluctuations in the
difference lightcurve which could be attributed to microlensing, or to
find an upper limit on the possible action of microlenses.
In the third step we produce magnification patterns via numerical
simulations for both images A and B with the appropriate values of
surface mass density and external
shear (cf. Schneider, Falco &
Ehlers 1992). We investigated three different scenarios, assuming
100%, 50% or 25% of the matter density consists of Machos,
respectively. We explore mass ranges from
. In the fourth step, the resulting
magnification patterns are convolved with a brightness profil of the
quasar. We chose Gaussian profiles with sizes of
(the smallest size we consider
corresponds to a few Schwarzschild radii of a presumed central
supermassive black hole with a mass of about
).
Step 5 is the simulation of randomly oriented (straight) tracks
through these magnification patterns that cover the same sampling
intervals as the actual observations. In the final step 6 we determine
the fraction of all lightcurves for a particular parameter pair
that produced fluctuations larger
than the ones observed.
For the ray shooting simulations (cf. Wambsganss 1999), we used
values of and
for convergence and shear of images
A and B, as in SW98. For each of the masses
,
,...,
, 1, we used three independent
magnification patterns with 20482 pixels each, and
sidelengths of L = 16, 160, 1600
(where the Einstein radius in the source plane for a 1
-object is
cm;
, ,
are the angular diameter distances
observer-lens, observer-source, lens-source, respectively, c is
the velocity of light, and G is the gravitational constant). We
assumed an effective transverse velocity of
km/sec (cf.
Paczynski 1986; Kayser,
Refsdal, Stabell 1986). For each parameter pair
, ,
we produced 100,000 simulated microlensing lightcurves each for image
A and image B, sampled like the observed data set. We looked for the
differences between the lowest and highest part in each lightcurve and
binned those maximum differences.
The fractions of those lightcurves that showed fluctuations larger
than the observed difference of mag
were labelled and
, respectively. We assumed the
fluctuations to be independent between images A and B, i.e. the
combined exclusion probability is defined
as 2 .
The method is illustrated in Fig. 2, where two panels with small
parts of the magnification patterns are reproduced for objects of
masses (left), and
(right). The three white line
segments show how the tracks were modelled after the time coverage of
the real data in Fig. 1. The corresponding microlensed
lightcurves are shown in the lower part of Fig. 2.
![[FIGURE]](img58.gif) |
Fig. 2. Top: Small parts of microlensing magnification patterns corresponding to (left) and (right), sidelengths are 4 . The three-part straight lines corresponds to a random track with sampling modelled after the actual data (cf. Fig. 1). Bottom: Microlensing lightcurves corresponding to the above tracks (quasar size cm; effective transverse velocity km/sec).
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© European Southern Observatory (ESO) 2000
Online publication: October 30, 2000
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