The distribution
is shown in the Fig. 2 as a thick
line. The negative and positive values of
are folded into a
-
interval. The bin size is
given the
range 0-
.
In contrast to the uniform
distribution obtained by BDS92, our
is bell-shaped. The difference from the uniform
distribution of
is significant at the level of 99.95% so the
corresponding
does not fit our data.
Although our data are limited (only 6 bins in the histogram), we performed
some Monte-Carlo simulations to restore the possible shape of f(e). For
this, an artificial set of
binaries was generated using the
software provided by A. Tokovinin. The following types of the distribution of
e were tested: fixed
,
linear
(with
eccentricity cut-off:
)
and bell-like
.
The orbits had random orientation and phase. Then the resulting
angles
and their histograms
were computed. The
criterion
was used to reject the distributions of
which
are not compatible with our data.
As a result (see plotted curves in Fig. 2), the good
fit was obtained for any artificial sample with single
eccentricity e<0.5. At the 99%-level of significance all the
single e>0.6 are rejected. The linear relation
does
not fit our data for the cutoff values e*>0.85 at the same level
of significance. Meanwhile, the uniform and bell-shaped distributions of
eccentricities give an
very similar to the observed one.
In general, all the distributions populated mostly by low-to-moderate
values of eccentricity cannot be rejected.
Copyright ESO 2001