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Astron. Astrophys. 325, 360-366 (1997)
3. The model of data acquisition
The model hereafter is a simplified summary of the part of the
Tycho data reduction that is related to photometry. It consists of a
mathematical description of the treatment of the transit observations
obtained for a star with magnitudes and
.
3.1. The transit detection
When the star is crossing a slit group, the photon counts exhibits
a peak within an interval of second
samples (this does not concern the raw photon
counts, but the non-linearly folded photon counts presented in
Bässgen et al. 1992). In the T -channel, the number of
photons recorded during the transit within the interval of
second, , obeys a Poisson
distribution, with the parameter :
![[EQUATION]](img14.gif)
where and are the
average numbers of background photons recorded in the interval in the
channels and ; they are
estimated from the photon counts around the transits. In practice, the
total background, , is 50 counts on average, but
it ranges from about 20 to 133 counts. The average numbers of photons
received from the star, and
, are related to the and
magnitudes by the equations:
![[EQUATION]](img20.gif)
where and are
calibration terms depending on the instrumental parameters of the
transit (slit group, field, and part of the slit). These terms were
derived in the photometric calibration; ranges
from 13.4 to 13.9 mag and ranges from 13.1 to
13.5 mag. Therefore, the distribution function of
is determined. This is slightly unrealistic,
however, since is an integer number in the
model, whereas the actual data reduction provided estimations of
photon counts obeying a continuous distribution.
The detection of the transit depends on its signal-to-noise ratio
( ). Since the signal-to-noise ratio of the
signal n is generally defined as , the
signal-to-noise ratio of the transit in the T channel is:
![[EQUATION]](img25.gif)
The transit is detected when is larger than
1.5. In a conservative estimation, for stars with
, and assuming a moderate total background of 50
counts, this threshold corresponds to or 11.4
mag, according to the calibration terms; these limits are 0.5 mag
brighter when the maximum background is assumed. In reality, the
cut-off at is not sharp, because the signal is
estimated with a fast routine providing only an approximate value.
However, this is ignored in the model.
When a transit is detected, the next step is the estimation of the
and magnitudes, that is
presented in Sect. 3.3. When is below 1.5,
since the transit was predicted, a non-detection is recorded. The
failure to detect transits with less than 1.5
is called the "detection censoring" hereafter.
3.2. The spurious non-detections
The non-detections are not only the censored transits. Transits
with larger than 1.5 were sometimes omitted,
for two reasons. The first one is that the predicted epoch used in the
detection process may be wrong, since they were based on a preliminary
determination of the attitude of the satellite. In such cases, the
transit should be discarded, but, in practice, the information that
the epoch was wrong was obtained only when a background transit was
detected by chance; the transit was considered as valid otherwise
(this concerns about half of the erroneous predictions). The second
reason was that, in photometry, the detections were considered to be
due to the stars only when the distance between the star and the
position of the slit was less than 0.6 arcsec. As a consequence, even
the stars bright enough for being detected each time they were
crossing a slit group get some non-detections. These non-detections
are not censored transits, since they are not due to signals below the
detection threshold, but they are referred to as "spurious
non-detections".
It appears from the bright standard stars that 6 % of the
transits are spurious non-detections. This rate is assumed to be
constant.
3.3. The determination of the magnitude
When a transit is detected, and
photons are counted in the channels
and respectively. The
numbers of photons received from the star, and
are estimated as the differences between the
total numbers and and
the mean backgrounds and
. The measured magnitudes are then:
![[EQUATION]](img34.gif)
and
![[EQUATION]](img35.gif)
However, this calculation was actually not possible when the total
numbers of photons were close to the mean background. In practice, a
minimum signal-to-noise ratio of 0.5 is assumed in the model. When the
is below this limit in one of both channels,
the corresponding magnitude cannot be derived; in reality, the cut-off
is rather unsharp, but, when a magnitude was derived although the
is less than 0.5, the measurement is considered
as doubtfull and it is ignored. The failure to measure the magnitude
when the is less than 0.5 is called "the
magnitude censoring" hereafter. In practice, since its threshold is
much smaller than the detection threshold, the magnitude censoring
only concerns faint stars with very small or very large color
indices.
The calibration terms and
were derived from the bright standard stars, as
explained in Großmann et al (1995). Due to the censoring, it was
then not verified if they were valid also for faint stars. This point
is investigated hereafter. In order to avoid the bias due to the
detection censoring, the measurements of the
faint red standard stars are considered: since these stars have
much fainter than , their
detections depend essentially on , and the
statistic of is affected only by the magnitude
censoring. Therefore, the theoretical distribution of the signals
is derived by assuming that
obeys a Poisson distribution with the parameter
, and with a cut-off on the left side when
.
The distribution of the measured thus
reveals an excess of bright magnitudes, as shown in Fig. 2 for
the inclined slit group, and for and
within small intervals. In fact, this is due to
a non-linearity of the relation between the number of photons coming
from the star and the signal estimated in the data processing. The
medians of the actual measurements and of the theoretical
distributions are considered for estimating the correction to apply to
the signal. For instance, it comes from Fig. 2 that, for the
inclined slit group, the excess is 4 counts when the measured signal
is 13 and when the average background is 10 counts; in that case, this
corresponds to an excess of 0.4 mag for a measured
of 10.8 mag. All the measurements of the red
photometric standard stars are used to determine the correction as a
function of the slit group, of the background, ,
and of the measured signal, called . When
, is larger than 13.3 counts (ie when the
amplitude of the signal is larger than 2 counts per sample), it
appears the true signal, , is given by the
equation:
![[FIGURE]](img45.gif) |
Fig. 2. The distribution of the signals in , derived from measurements of red standard stars with fulfilling the following conditions: transit of the inclined slit system, between 3.3 and 13.3 photon counts (corresponding to amplitudes of 0.5 and 2 counts/sample respectively), and between 6.7 and 13.3 counts (ie a flux between 1 and 2 counts/sample). In order to take into account the magnitude censoring, the measurements with are discarded. The dotted line refers to the signals estimated in the photometric reduction, and the thin solid line to the corrected signal. The distribution derived from the model is plotted as a thick line for comparison; it contains gaps and peaks because the total photon count in , , is assumed to be an integer number.
|
![[EQUATION]](img47.gif)
with counts for the transits of the vertical
slit group, and 13.3 counts for the inclined slits. Other relations
exist for smaller values of . When these
corrections are applied, the statistical properties of the magnitude
measurements are fairly well fitting the model (see Fig. 2). The
same relations are used to correct the estimations of
, since they were obtained with the same
algorithm.
The corrections of and
does not affect the detection threshold
, since the detection was performed with another
routine for estimating the signal.
© European Southern Observatory (ESO) 1997
Online publication: May 5, 1998
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