Astron. Astrophys. 364, 887-893 (2000)
3. Numerical results
Fig. 4 shows a phase diagram of map (8), which has both
regular and chaotic orbits. The islands correspond to the locations
where a comet is in the exterior mean motion resonance with Jupiter.
For example, the first resonance visible at
corresponds to a
resonance. The sticking effect of
these resonances were studied by Malyshkin & Tremaine (1999). The
chaoticity of orbits in the phase space with
comes from the fact that, according
to the map (8), for the small , the
phase angles g of two consecutive perihelion passages are
almost independent.
![[FIGURE]](img78.gif) |
Fig. 4. Phase diagram of the map (8) with and .
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As we intend to study the possibility of orbital transfer of comets
with near zero energy, we concentrate on cases when a comet obtains
enough (negative) energy from the planet to change its orbit from a LP
one to a SP one. The relation between the energy K and the
period P in our units is yr
. The boundary of period between LP
and SP comet is 200 year, which corresponds to the energy of about
. Since the Oort Cloud is supposed to
be located at AU, we study comets
with the initial energy of -0.001.
In all of the following experiments, we take sets of
orbits each with initial energy
uniformly distributed in
, and compute the evolution of each
orbit one by one with the map (8), until it either escapes
( ) or is transferred to
. Then we make the statistics for
these orbits. Note that for comet
orbits with , there is also the
possibility of collision with Jupiter, though it is very small
( according to our calculations).
Three quantities related the transfer dynamics of the comets are
determined: the transfer probability
( ), the average transfer time
( ) and the average energy change of
transferred comets per passage ( ).
is defined as the ratio of
transferred orbits (with final energy
) to the total number of the initial
orbits, i.e. . For the transferred
comets, is defined as the average
number of passages needed for accomplishing the transfer, and
is defined as the root-mean-square
average of the energy change per perihelion passage. We study the
dependence of these quantities on the perihelion distance of the comet
orbit (which is assumed constant during the energy evolution) and the
planet mass.
3.1. Dependence on perihelion distance
In this subsection we fix and
study the transfer dynamics with the perihelion distance q
varying from 0.2 to 1.6. Fig. 5 shows the variation of
with the perihelion distance
q. We note that, for ,
has values ranging from 0.09 to 0.13
for comets on direct orbits and it is about 0.07 for comets on
retrograde orbits. In both cases the variation of
with q is small. In contrast,
for comets with perihelion distances
, the variation of
with q is large.
decreases from 0.11 to 0.01 as
q increases from 1 to 1.6 for direct motion, and it decreases
drastically for retrograde motions (
at ). Thus the transfer of comets
with on retrograde orbits should be
negligible. For comets on direct motion with
, only those with
can be transferred efficiently.
![[FIGURE]](img113.gif) |
Fig. 5. Dependence of the transfer probability on q with . The fitting lines have the form of , for and , for , respectively. The unit of q is 5.2AU. Note the different scales between the two windows.
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According to the fitting lines in Fig. 5, the variations of
obey exponential laws with the form
of
![[EQUATION]](img115.gif)
where the subscripts "d" denote for comets in direct orbits and "r"
for those on retrograde orbits, respectively. Assuming these
exponential laws, we define the integral of transfer probability:
![[EQUATION]](img116.gif)
and similarly for and
. The calculation gives,
![[EQUATION]](img119.gif)
Thus the flux of transferred comets from direct orbits is
times as large as that from
retrograde orbits, this may be the reason why most of the observed
HFCs are on the direct orbits (Fernández 1999). Moreover, the
flux of transferred comets from Jupiter-crossing orbits is about
times as large as that from
non-crossing orbits. This phenomenon is noticed for the first time, as
far as we know.
The variation of the average transfer time
for the transferred orbits with
q is shown in Fig. 6. We find that the variation of
is smaller for
than that for
. For
,
varies with q very slowly and equals to 10-25 passages for the
direct motion and to about 60 passages for the retrograde motion. For
, the number of passages needed for
transfer from direct motion increase from 10 to 3000 as q
increases from 1 to 1.6. For comets in direct motion, the dependence
of on q can be roughly fitted
with the exponential laws:
![[EQUATION]](img136.gif)
![[FIGURE]](img134.gif) |
Fig. 6. Dependence of the averaged transfer time on q, with . The fitting lines have the form of and for and , respectively.
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To explain the above exponential laws, we calculate the average
energy change per passage for the
transferred comets. The dependence of
on q is shown in Fig. 7.
We notice that the values of for
are large, sometimes even
. This is because the encounters for
can be much closer than those with
. From the graph of
(Fig. 1), one can also see that
the energy exchange of the comet with
is much larger than those with
. For the direct motions
varies with q exponentially
with the form
![[EQUATION]](img152.gif)
![[FIGURE]](img150.gif) |
Fig. 7. Dependence of the average energy change on q when . The fitting lines have the form and for and , respectively.
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The exponential dependence of on
q gives an explanation of the exponential forms of
Eqs. (9) and (12). In fact, according to Fig. 7, the typical
values of is about
for
in the direct motions, which is much
less than the energy decrement required for a comet with near zero
initial energy to reach . Thus the
evolution of energy for obeys the
diffusion approximation. According to the diffusion approximation, the
transfer probability and average transfer time for a comet with
initial energy near zero to reach energy
obey (Fernández &
Gallardo 1994)
![[EQUATION]](img155.gif)
Thus the exponential laws in Eqs. (9) and (12) for
can be deduced from the
Eq. (13). However, for , due to
the large average energy change per passage, which is of the same
order as , the condition of the
diffusion approximation is no more fulfilled.
3.2. Dependence on the planet mass
To see the influence of the planet mass on the transfer of comets,
we investigate the evolution of above
orbits with µ varying
from to
. The variations of the transfer
probability with µ are
shown in Fig. 8. One can see that the probabilities for
are larger than those for
as long as
. This is the case for our Solar
System, where the largest perturbation for comet motions comes from
Jupiter ( ).
![[FIGURE]](img169.gif) |
Fig. 8. Dependence of transfer probability on µ with different q. The straight line in the up-left corner has a slope . stands for the perihelion distance of comets in the direct motion, stands for that in the retrograde motion.
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As µ increases, we find approximately that
in the cases of (a)
for
and (b)
for
. However, in the case of
with
, this relationship does not hold
(Fig. 8). This is caused by the differences in the average energy
change . To demonstrate this we show
the dependence of on µ
(Fig. 9), where we find in all
the studied cases. This is expected since Eq. (7) shows that the
change of energy is proportional to µ.
![[FIGURE]](img181.gif) |
Fig. 9. Dependence of the average energy change on µ with different q. The straight line in the up-left corner has a slope . The dotted line shows the critical value below which the diffusion approximation holds.
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With the relation of , the
variation of on µ can
be explained. For the situations (a) and (b) listed above, the average
energy changes are small so that the diffusion approximation holds,
with , which obeys the relation
(14). For the other situations, the diffusion approximation is not
fulfilled due to the large energy change, thus the relation (14) does
not hold since does not hold.
Finally we present the dependence of the average transfer time
on µ (Fig. 10).
For the situations (a) and (b) listed above but with
for
, one can identify roughly a
power-law with the form of , which
is consistent with the relation (14). In the other cases, when
conditions of the diffusion approximation is not fulfilled, the
relation is no more obeyed.
![[FIGURE]](img193.gif) |
Fig. 10. Dependence of the averaged transfer time on µ with different q. The straight line in the down-left corner has the slop .
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In the above qualitative discussion of this subsection, when the
mass of planet µ is changed, the energy boundary between
LP comets and HFCs is fixed as .
However, when the only perturbing planet is changed (e.g. Saturn,
Uranus or Neptune), should be also
changed due to the different orbital periods of the planets. We
calculate the transfer probabilities in the cases of different planet
pertubations as in the last subsection and Fig. 5. The results
are showed in Table 1. As we can see, only Saturn contribute by a
non-negligible amount to the transferred comets while the
contributions of Uranus and Neptune are negligible.
![[TABLE]](img196.gif)
Table 1. Integral transfer probability for different planet perturbations
© European Southern Observatory (ESO) 2000
Online publication: January 29, 2001
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