Astron. Astrophys. 321, 19-23 (1997)
4. Results
The signature of the mixing of geodesics effect is a clear one: hot
spots should have a fixed eccentricity independent of threshold level,
and if these hot spots are elongated it is an indication of mixing in
open spaces. In principle it is possible to detect eccentricities
smaller than 1, the problem however is to disentangle the effect due
to mixing from instrumental noise which by its stochastic nature is
expected to produce anisotropy spots with certain degree of
elongation.
In order to evaluate the statistical significance of a possible
detection of the mixing of geodesics effect we have performed Monte
Carlo studies of noise maps that take into account instrumental noise,
COBE's sky coverage and pixelization. Noise maps were generated by
assigning to each pixel on the map a temperature equal to a random
number extracted from a Gaussian distribution with dispersion
, where is the
corresponding sensitivity for one observation and N the number
of observations.
Maps for both A and B channels were generated
independently. A difference map was formed and Gaussian smoothed just
as it is done with the real data. The same algorithm used to obtain
the eccentricity parameter of the COBE maps was used for each one of
the Monte Carlo noise realizations. Fig. 2 shows the Monte Carlo
mean eccentricity and the 1- error bars
expected from noise maps. Knowing the eccentricity expected from
noise, one can estimate the probability that the observed eccentricity
parameter can be produced by noise alone. Table 1 gives
for the COBE sum and difference maps, and the
deviations from the mean eccentricity of Monte Carlo noise
simulations.
![[TABLE]](img56.gif)
Table 1. Eccentricity parameter of hot spots on COBE maps ( , ) and comparison with Monte Carlo noise maps ( ). and denote the difference (in standard deviations) between the measured eccentricities and the mean eccentricity of noise Monte Carlo maps.
The statistic computed with the 9 data
points in the range and the corresponding noise
Monte Carlo points is 5.6 and 73.0 for the and
maps respectively. The low
associated with the difference maps was
expected and is an indication of the accuracy of the Monte Carlo
simulations. On the other hand, the high
obtained when the data from the signal maps is compared with noise
data is a clear indication of an actual detection of elongated
anisotropy spots. The measured eccentricity parameter at threshold
levels 1.5 and 2.5 in particular exhibit a -
deviation with respect to noise. The average
deviation in terms of standard deviations of
from the corresponding Monte Carlo result for the 9 bins considered
here is . From the mixing of geodesics effect
one would expect a constant eccentricity for all threshold levels. Due
to the large dispersion of the measured values
it is not possible to make a strong statement in favor of the
hypothesis of a constant independent of
. However, it is seen that the contribution to
the is roughly the same independent of
. Under the hypothesis of a positive detection
of elongated anisotropy spots and using the 9 points in Table 1,
the measured eccentricity is .
© European Southern Observatory (ESO) 1997
Online publication: June 30, 1998
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