It is highly desirable to learn as much as possible about the orbital characteristics of the particles which struck the IDE trays. At a minimum, these characteristics can determine whether the particles were interplanetary in origin or debris from a satellite or spent rocket. If the particles can be identified as debris, then it becomes possible to determine their parent body, which gives a clue as to which objects in earth orbit are major contributors to the orbital debris population. Unfortunately, the IDE data permit the unique determination of only the position of the impacted particle (which is the same as that of LDEF at the time of impact), whereas an unambiguous determination of the particle’s orbit requires a knowledge of both the position and the particle velocity. The IDE sensors were threshold detectors, triggered by any particle with sufficient energy to damage the detector dielectric, and so were rough indicators of particle energy, not velocity. It is therefore impossible to use the IDE data to obtain an orbit for a single impacting particle. This situation improves, however, for an impacting group of particles which have the same orbit. In this case, the particles will strike multiple IDE trays, permitting a rough determination of the direction of the group’s velocity, which, when combined with the position information, yields a family of possible candidate orbits for the particles. The situation improves even more if the orbit of the group is such that it encounters LDEF multiple times, for then the change in the LDEF position at the encounter times can be used to produce a family of possible orbits, which can be further constrained by the velocity direction information.
Fortunately, most of the 15,000 impacts recorded by IDE occurred in such groups, which we term events. These events were of two types - the spikes, which were single, isolated events of high intensity and the multiple orbit event sequences (MOES), which were series of events with the events separated in time by integer multiples of the LDEF orbital period. The spikes are discussed in another paper in these proceedings; here we shall concentrate on the multiple orbit event sequences, as they were produced by particles with orbital characteristics such that the group had multiple encounters with LDEF. Even though the spikes were generally more intense, the MOES could be quite long-lived, some lasting for many days. As discussed in the previous paragraph, it is these MOES which can yield the most information about the particles’ orbit.
Figure 1 is a "seismograph" plot of a typical MOES; time increases to the right along the horizontal axis, and the intensities of the events are roughly indicated by the extent of the vertical lines. A cursory glance reveals two important bits of information about the particle orbits involved in MOES:
Figure 1: Typical MOES (not the May swarm). Impacts on the south (So4h), ram (Le4h), and trailing (Tr4h) surfaces are shown. The tick marks along the top and bottom are spaced at intervals of a LDEF orbital period.
This information is about all that can be determined from a visual inspection of the MOES in the IDE data set. Clearly, it is necessary to develop a technique that will extract additional information about the particles’ orbit. We have arrived at such a technique, the Method of Differential Precession, which shall be summarized and applied in the following pages.
This concept is illustrated more clearly in figures 2 and 3, which depict
the geometry of the situation with regard to LDEF. Following conventional
notation, represents the position of the
ascending node of the LDEF orbit (which is known) and
represents the ascending node of the unknown orbit of
the impacting particles. The position of the perigee of the unknown orbit
is represented by
; LDEF’s orbit is
essentially circular (e ~ 0.0001) and so has no perigee. The inclinations
of the two orbits are
and
, and
and
denote the arguments of latitude of the point of
intersection, measured counterclockwise along the orbits from the
respective ascending nodes. We are using the argument of latitude rather
than the more conventional true anomaly,
, due
to the fact that one of the orbits is circular. In the case of an
elliptical orbit, the two quantities are related by
. Figure 2 shows that, for any given time, the known
quantities
and
determine the location of the unknown orbit’s node,
, provided that the inclination of the unknown orbit is
specified. Similarly, figure 3 shows that
,
and
determine
if
is specified. As time progresses, the orbits will precess
at different rates, resulting in the movement of the point of impact
(intersection), with a corresponding change in
and
.
Figure 2: Differential precession of the lines of nodes
Figure 3: Precession of the line of apsides
Assuming that the inclination of the particle orbit is known, our
knowledge of the LDEF orbit enables us to compute and
for each impact
occurring in a given MOES. The variation in
with time directly yields the precession rate of the
line of nodes of the particle orbit, , which can then be used to
construct a family of possible candidate orbits by means of the well-known
relation
1)
where is the radius of the Earth and
is the second gravitational harmonic. The semi-major
axis and eccentricity of the particle orbit are denoted by a and e, while
n is the mean motion of the particles. The family of candidate orbits
will have values of a and e specified by equation (1), and can be
constrained by the simple fact that any candidate orbit must intersect
that of LDEF at some point. Information about the direction of the
particle velocity obtained from the numbers of impacts on the IDE trays
during the MOES can also be employed to derive the vector intercept of the
particles, which further constrains the range of allowed orbits. It
should noted that even though this technique can completely determine the
orientation of the particle orbit (
,
, and
), the lack of
velocity information still prohibits a unique determination of the orbit’s
size and shape.
Unfortunately, the inclination of the particle orbit is not known, forcing
the adoption of an iterative scheme in order to achieve a solution. One
starts by assuming a reasonable value for the particle inclination, which
will enable the determination of the ’s and
’s at the times of impact, and,
consequently, . It is also necessary to obtain the rate of the perigee
advance of the particle orbit. This can be done by realizing that, at
each impact, the position of LDEF must be the same as that of the
particle, thus
2)
Equation (2) implies that , and we see
that the time variation of the argument of latitude of the impact point,
measured along the particle orbit, is equal to the rate of the advance of
the perigee. The ratio
can now be
formulated and compared to the theoretical value, which is given by
3)
If the ratios are not equal, then a new is
calculated according to Newton’s method or some similar scheme, and the
process repeated until the values agree. In addition to the assumption of
no non-gravitational forces, this method also requires that all particles
striking LDEF during the MOES share the same orbit, which is perfectly
reasonable in light of the short duration of each event belonging to a
MOES.
4)
At each impact time, equations (4) may be solved for (and hence,
) via
Newton's method or some other scheme.
5)
The procedure outlined in the previous section was then applied to these data, with the inclination converging to a value of 66°.55 after only a couple of iterations. Table 1 lists the resulting longitudes of ascending node and arguments of latitude of the impact points for the particle orbit, along with the times of impact (in decimal days from LDEF deploy) and the LDEF arguments of latitude of the impact points.
Table 1: May swarm times of impact (days from LDEF deploy) and the
corresponding LDEF arguments of latitude, with the values of the
longitudes of the ascending node of the particle orbit and the particle
arguments of latitude for =
66°.55.
The two linear regressions (see figures 4 and 5), involving the impact
times, , and
,
yielded
These four quantities, along with , uniquely
specify the orientation of the particle orbit at any given time. Note
that the initial value of the argument of the perigee indicates that these
particles are striking LDEF near apogee, a somewhat surprising result.
Figure 4: Linear fit to determine nodal line properties
Figure 5: Linear fit to determine apsidal line properties
Next, the precession rate of the particle orbit line of nodes was used in equation (1) to determine the family of possible candidate orbits. These results are displayed in figure 6. Note that the semi-major axis varies little with the eccentricity; in this case, the variation in a is so small that we could confidently set a = 6746.5 km, regardless of the eccentricity. The dual requirement that the candidate orbits have perigees of greater than 200 km in altitude and intersect the LDEF orbit placed strict limits on the allowed values of the eccentricity, which must be between 0.0165 and 0.025.
Figure 6: Candidate orbits for the May swarm
One of the candidate orbits (e = 0.017) was then chosen for a series of checks on the results of the method. The first check involved the computation of the particle velocity of impact over the duration of the May swarm. These velocities were then resolved into components along the LDEF body axes in order to determine the impact speeds on the IDE trays. For this particular orbit, only the south tray and the ram-facing tray were struck, with the south impact speed being larger than that for the other tray (see figure 7). This is in good agreement with the IDE observations of the May swarm, in which these same two trays recorded large numbers of impacts, with the south tray receiving the most hits. The second check consisted of a comparison of the sky track of the points of closest approach between the two orbits to the sky positions of the individual impacts comprising the May swarm. As can be seen from figure 8, the agreement is excellent, with the sky track of close approach passing neatly through diffuse band of impact positions.
Figure 7: Particle impact speeds along IDE tray normals for test orbit.
Figure 8: Sky track of close approach between the test orbit and that of LDEF. The particles are moving in a northerly direction, whereas LDEF is moving along its orbit from left to right. At the onset of the May swarm, the impacts are located at the position labeled "Onset", with the impact positions gradually moving towards the lower right as time progresses.
In summary, it would seem that the particles impacting LDEF during the May swarm MOES have an orbit that can be characterized by the following parameters:
To obtain the geometrical chararcteristics of this ring, the technique of differential precession looks at the time evolution of the point of intersection with the LDEF orbit. It does not matter that the particles exist in the ring for only a short time; the only requirement is that the orbit shared by the particles at the times of impact with LDEF be similar. In general, this orbit would not be the same as that of the source of the debris particles, for non-gravitational forces would have rapidly acted to alter the particles’ orbit from that of the parent body. It should be realized that if the parent body (whose orbit is presumably stable) continually produced particles of similar properties, these particles would have experienced the same perturbations as their predecessors and would therefore have undergone a similar orbital evolution. If any of the future orbits intersected that of LDEF, a MOES would have been observed by IDE, this MOES lasting as long as the source produced particles, or until the geometry of both orbits changed such that there was no longer a point of contact.
The IDE data set is rich, with many MOES of varying characteristics that await analysis by some procedure. The method of differential precession is such a technique, one that appears to be able to extract a good deal of information about the particle orbit involved in a MOES. We fully expect that its application to the other MOES will not only shed some light on possible sources of orbital debris, but will also yield quite a few surprises.
This research was supported by NASA grant NAG-1-1218