Astron. Astrophys. 325, 360-366 (1997)
4. The de-censoring procedure
4.1. The transit selection
Only the transits with background flux in the T channel smaller
than counts/second are used in photometry.
Moreover, it is verified that no other star, among the half a million
brightest ones, is crossing a slit system simultaneously; the transit
is discarded otherwise.
Each transit is characterized by several parameters:
- Flags referring to the part of slit system that was crossed by
the star. The calibration terms in Eq. 2,
and are determined by these flags.
- The background fluxes in the
and in the
channels. These fluxes provide the mean numbers
of background photons collected during the transit,
and .
The selected transits all contribute to the determination of the
and magnitudes of the
star, but they have not the same quality: the background is variable
from 1700 to counts/second, and, moreover, the
sensitivity of the vertical slit group is 0.3 mag better than that of
the inclined one. In order to take into account the observation
conditions, any transit receives two weights, one for each channel.
Each weight is defined as the square of the average signal-to-noise
ratio, which is derived from the background and from the average
signal computed with Eq. 2. Therefore, the weights do not depend
on the result of the transit, but only on the conditions, and on the
and magnitudes of the star
that are assumed in the iteration step, as explained in
Sect. 2.
4.2. The detected transits
A transit is detected when a detection is found closer than 0.6
arcsec from the position of the slit. When a magnitude measurement is
available, the number of photons received from the star is corrected
with Eq. 6. Next, if the signal-to-noise ratio of the measurement
is larger than 0.5 after the correction, the corrected signal is
accepted. It is considered as affected by the magnitude censoring
otherwise.
When a measurement is missing due to magnitude censoring, the mean
total number of photons below the censoring limit is derived from the
model. The mean number of photons received from the star is then
imputed to the measurement.
4.3. The non-detected transits
The mean numbers of photons corresponding to a transit not detected
are simultaneously computed for both channels, taking into account two
possible causes: the detection censoring, and the spurious
non-detections.
The treatment of the detection censoring is not trivial, since this
effect depends on the T-channel. Pairs of photon counts
are generated by simulation; those with
below the detection limit are taken into
account to compute the mean numbers of photons received from the star
when the transit occurred. This simulation is also used to derive the
probability of getting a censored detection, when the prediction of
the transit was reliable.
The mean numbers of photons corresponding to a spurious
non-detection, and , are
directly derived from Eq. 2, assuming the values of
and used in the iteration
step.
The mean numbers of stellar photons corresponding to a non-detected
transit are then derived by combining these two origins, assuming the
6 % proportion of spurious non-detections.
4.4. The mean and magnitudes of the star
In on-ground photometry, the mean magnitude of a star is computed
as the average of the magnitude measurements. This method is used
since the distribution of the logarithm of the photon counts obeys
then a Gaussian law, due to scintillation (Sterken & Manfroid,
1992). This is not true for Tycho photometry, and the mean magnitudes
are derived from the average intensities, as explained hereafter.
In the calculations above, all transits received a mean signal for
each channel. These photon counts are transformed into intensities by
the equation:
![[EQUATION]](img53.gif)
where M refers to the channel or
. The average intensities
and are then derived from all the selected
transits, taking their weights into account. The mean
and magnitudes of the star
are finally:
![[EQUATION]](img56.gif)
The next iteration is then based on these values, until the
calculation has converged.
4.5. Estimation of the errors
The errors are derived from the variance of the average intensity
of the star in each channel, ie:
![[EQUATION]](img57.gif)
where is the weight of a transit in the
M channel (ie or ).
The problem is to derive the variances of the intensities for each
transit. When the intensity comes from an actual measurement, the
calculation is simple. Since , it is derived
from Eq. 7 that:
![[EQUATION]](img60.gif)
The variance of the mean intensities imputed to the censored data
are much more difficult to estimate; they are related to the accuracy
of the model, including that of the assumed magnitudes, but this is
the very result that is searched. Moreover, a fast computation is
required, since the de-censoring process must be applied to a very
large number of stars. It appears finally that the simplest way to
solve this problem is just to ignore the contribution of the censored
data in the calculation of the errors. This approximation is quite
acceptable in practice, as shown in the next section.
The errors of the magnitudes are derived from the variances of the
intensities. The probability distribution of the derived magnitudes is
not symmetrical, however, and the "error on the bright side" must be
distinguished from "the error on the faint side". These errors are
respectively:
![[EQUATION]](img61.gif)
and
![[EQUATION]](img62.gif)
The exact calculation of the errors of the colour index
is also not trivial, since the colour index is
a function of the ratio of the average intensities
and . When the errors are
defined as corresponding to the percentiles 16 % and 84 %,
they are calculated by the equations:
![[EQUATION]](img66.gif)
and
![[EQUATION]](img67.gif)
with c and t coming from
![[EQUATION]](img68.gif)
and
![[EQUATION]](img69.gif)
is the error on the "blue side", ie so that
the probability that the actual is less than
the computed one minus is 16 %. On
the other side, refers to the "red side" (in
practice, it appears that the formulae: and
are good approximations of Eq. 13 and 14,
although they are much simpler).
© European Southern Observatory (ESO) 1997
Online publication: May 5, 1998
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