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\centerline{\bfSSS Searching for Comets} 

\centerline{\bfSSS Encountering Jupiter: }
\centerline{\bfSSS First Campaign \rm \footnote*{Based on observations 
collected at the European Southern Observatory, La Silla, Chile}}

\vskip 3 true cm

\centerline{\rmSS G. Tancredi$^{1,2}$ and M. Lindgren$^1$}

\vskip 2 true cm

\centerline{$^1$Astronomiska Observatoriet, Box 515, S-751 20 Uppsala, Sweden}
\centerline{$^2$Depto. de Astronomia, Facultad de Ciencias, Tristan Narvaja 1674,}
\centerline{Casilla de Correo 10773, 11200 Montevideo ,Uruguay}


\vfill\eject


\noindent
{\bfS Abstract}

\sl
\medskip\noindent
This paper reports results from a first search for previously
undetected comets in the vicinity of Jupiter. Combining
these with a model for the probability for finding a comet
in this region we estimate the total number of comets in
the Jupiter family.

36 Schmidt plates were obtained at ESO in March and April 1992.
We searched the plates down to a limiting nuclear B--magnitude of 13.8 .
No comet was found. This result together with
a model for the probability of finding a comet close to Jupiter, yields an
upper estimate of the number of objects in the
Jupiter family. If we assume that the comets are inactive
at $\sim$ 5 AU from the Sun, we get a conservative estimate of 
$N(H_N^B<13.8) < 210$. We discuss the possible brightening due to activity
and present estimates including this effect.

By assuming a certain magnitude distribution, we then compare our results
with previous attempts to estimate the total size of the Jupiter family.
Although our estimates are still higher than previous values, our results
are independent of the distribution of comets with perihelion distance. 
Ongoing and future searches with the same technique will further constrain
the population size of the Jupiter family. 



\vfill \eject

\def\deg{$^\circ$}
\rm
\noindent {\bfS 1. Introduction}

\medskip
\noindent
The first problem one face when searching for short--period comets 
is how to  define a comet, or rather, how to distinguish between 
comets and asteroids.  Traditionally, objects are classified as comets 
or asteroids depending on their outgassing  activity. But nowadays this 
separating wall is falling down. 
As illustrated by Kres\'ak (1979), there is a distinction in the
orbital characteristics (and consequently dynamics) between short-period
comets and asteroids. The  distinction is clearly seen 
in the semimajor axis--eccentricity phase  space where there 
is a clear border line between the two groups corresponding to a 
Tisserand parameter $T$, 
of 3. On the basis of this fact, Kres\'ak formulated a new  distinction
criterion between asteroidal and cometary orbits: a cometary orbit has  
$T\lta3$ and is not protected from encountering Jupiter by a
simple resonance  libration. An orbit that does not meet this 
requirement is asteroidal.

This fact that comets can encounter Jupiter, while asteroids can 
not, was used to develop a strategy for searching for comets 
in the vicinity of Jupiter (Tancredi and Lindgren, 1992, hereafter 
TL92).
We illustrate the situation in Fig. 1.
By looking in the direction of Jupiter we eliminate any confusion 
with objects from the only two groups of asteroids that can reach 
heliocentric distances comparable to Jupiter's: the Trojans and the 
Hildas. The Trojans never get closer than about 30\deg\  angular 
distance from the planet. Although some Hildas can be seen in 
the direction of Jupiter they are at their perihelion due to their 
mean motion resonance and alignment of the perihelion direction with 
Jupiter. Thus, to be certain not to confuse inactive comets with 
asteroids, the only direction to look is towards Jupiter.

Furthermore, the number density of observed JF comets at any time 
in a  Jupiter-fixed rotating-pulsating frame peaks around the planet, 
showing that there  is a greater chance of finding these objects close 
to Jupiter than in any  other part of the Solar System (TL92).
To verify this, we use the numerical integrations for 20000 yr 
presented in section 4.1 to make a similar plot (Fig. 2.). Although 
the peak around Jupiter is slightly less pronounced than in TL92,
where a shorter integration was used, the number density in the 
Jupiter neighborhood is  higher by 20--25\% than in any other place 
around the orbit of Jupiter. The lower value of the density increase 
based on the longer integration is due to the fact that there is a 
dependence of the frequency of encounters on perihelion distance 
(Tancredi and Rickman 1992, hereafter TR92), and since there is a 
peak in the temporal distribution of perihelion distances due to 
observational bias towards comets with low perihelion distances, we 
expect a lower value.

The problem of identification is minimised by looking toward Jupiter
opposition. The spatial distinction between asteroids and comets in the
general direction of Jupiter coupled with the low relative encounter 
velocity of JF comets lead to a clear separation in  velocity space 
between comets undergoing an encounter and asteroids that are in  
the same region of the sky. When observing close to 
Jupiter opposition the  difference in velocities translate into two 
separate regions in the hourly motion  phase space, as shown in TL92. 
From integrations of the observed JF comets we find that  the 
projected relative velocity  during a close encounter (distance 
$<0.5$ AU from the planet) to be typically between 4 and 5 arcsec 
hr$^{-1}$ (see TL92 and section 5 for further discussion).

Thus, when observing Jupiter's vicinity, with the telescope tracking
on the planet, asteroids show up as trails longer than 8 arcsec in a 
one hour exposure. A typical value for main belt asteroids is
$17$ arcsec, while comets encountering Jupiter show up as much 
shorter trails (less than 7 arcsec). The stars  appear as trails 
of $\sim$ 19 arcsec but in opposite  direction compared to the 
asteroids (the exact value depends on Jupiter's orbital position at 
opposition). 

Below in section 2 we present the observations from this first part 
of the project based on this strategy, carried out at ESO
and the results are presented in section 3. In section 4 we estimate 
the  number of comets encountering Jupiter as a function of the 
$q$-distribution and the distance to the planet. The magnitude 
distribution of cometary nuclei and the limiting magnitude of our 
search are discussed in section 5. Constraints on the size of the 
total population of JF comets are estimated in section 6, and in 
section 7 we present the conclusions derived from our search.

\bigskip

\noindent
{\bfS 2. Observations}

\medskip\noindent
{\bf 2.1. The plates}

\medskip
\noindent
During nine nights around new moon in early March 1992 we obtained
27 plates from the European Southern Observatory 1.0/1.6 m Schmidt
telescope. Table I shows the dates and plate center coordinates.
Since the field of view of the ESO Schmidt is 5.4\deg, the
total area covered in this search is about 16\deg.2  by 16\deg.2 . 
The following new moon period in early April 1992 we obtained an extra set
of plates, consisting of one exposure of each region.
The plate center
coordinates for these ``follow--up'' observations were shifted $\sim$6\deg\  
to the west to compensate for one month of motion of the objects
found on the March plates. Table I also shows the data for the April plates.
Because of the high declination (+9\deg) the observing
conditions at ESO (latitude -29\deg) were not ideal. For example: the
central region culminates at an altitude above the local horizon
of only 50\deg. This leads to an average seeing of not
much better than about 1.5 arcsec (measured on field stars). We will use 
this as a mean value for all the plates in the following calculations. 

The March plates were exposed for 90 minutes, and the April plates for 45 minutes.
The emulsion used throughout is the Kodak IIIa-J, hypersensitized
according to standard procedures. By using only a blue
wavelength cut--off filter (GG385) instead of a bandpass filter we detected
all the light from the objects, leading to a fainter limiting magnitude 
of the search.

To facilitate the identification of the objects
and at the same time optimize the limiting magnitude,
we used the apparent motion of Jupiter as the tracking rate during
the March observations (TL92).  
Sidereal tracking rate was used during the April observations.

\vbox{
\bigskip\noindent
{\bf 2.2 Limiting magnitude}

\medskip}
\noindent
The problem of determining the limiting magnitude in a photographic search
for objects that are not stationary during an exposure, is a subject not
much discussed in the literature. A first order estimate can be 
obtained by determining effective exposure times for objects moving at 
different speeds by simply measuring how long time it takes for the object to
move the distance of a seeing disk. By comparing with exposures of point
sources of known magnitudes, using the measured effective exposure time, it
is then possible to estimate the magnitude correction due to trailing. A 
more exact method is to consider the expression for the
intensity $i(x,y)$ of a source distributed as a gaussian point
spread function with a FWHM of $d$ and defining $i(0,0) \equiv I$. 
Considering that the source is moving during a time $t$ with a constant 
speed $v$ along the $x$--axis, from $-\ell/2$ to $\ell/2$, where $\ell=vt$ 
is the length of the trail, the exposure
$e(x,y)$ at $(x,y)=(0,0)$ is then
$$
e_T(0,0) = \int\limits_{-t/2}^{t/2}i_T(x(\tau),0)~d\tau~=\Bigl\lbrace 
x={v\tau\over{d}}\Bigr\rbrace=
\int\limits_{-t/2}^{t/2}
I_T~{\rm exp}\Bigl(-{4\ln 2~{(v\tau)^2}\over{d^2}}\Bigr)~d\tau
\eqno(1)
$$
where the subscript $T$ denotes a trailed image.
This is integrated to
$$
e_T(0,0) = \sqrt{{\pi\over{\ln 2}}}~{I_T~ d\over{2v}}~{\rm erf}
\Bigl({\sqrt{\ln 2}~\ell\over
{d}}\Bigr)\simeq
1.06~I_T~{d\over{v}}~{\rm erf}\Bigl({0.83~\ell\over{d}}\Bigr)~~,
\eqno(2)
$$
where erf is the error function. The exposure $e_P(0,0)$ from a 
stationary source of known
magnitude exposed using the same exposure time $t$ as for the moving 
object is given by
$$
e_P(0,0) = \int\limits_{-t/2}^{t/2}i_P(0,0)~d\tau=~I_P~t
\eqno(3)
$$
where the subscript $P$ denotes a stationary source.
Equating the exposures of the stationary source and the trailed image (i. e. 
the peak of the gaussian profile of the stationary source and the 
``height of the
ridge'' of the trail) one then finds that the difference in magnitude is
$$
\Delta m = -2.5~\log\Bigl({\ell\over{1.06~d~{\rm erf}({0.83~\ell
\over{d}})}}\Bigr)
\eqno(4)$$
A plot of this dependence on trail length (expressed in units of the 
FWHM of the seeing disk, $\ell/d$) of the magnitude correction can be 
seen in Fig. 3.
For long trails ($\ell\gta2.6d$) the corresponding erf value approaches 1
and in 
that case eq. (4) reduces to the same relation as for the
simple concept of an effective exposure time described above (i.e. 
$\Delta m = -2.5\log({\ell\over d})~$), apart from the small factor 
1.06 inside the log.
To clarify the meaning of this calculation: consider the 
situation where one wants to find out if an object with known 
apparent magnitude $m_0$ and known apparent speed is visible. 
Equation (4) then tells us that the recording on the plate 
(``the height of the ridge'') would be the same as for a stationary 
object with magnitude $m_0+\Delta m$.

For photographic emulsions, the expression (4) is valid as long as 
the exposure time
is long enough to place both the trail and the point source on the linear
part of the characteristic sensitometric curve for the emulsion 
used. Density measurements of the sky background show that in our 
90 min.  exposures we are in this linear part.

A simple way of checking this theoretical calculation of the limiting magnitude
of trailed objects is to compare directly with
previously known objects moving with the same speed as the search objects.
In general one can not expect this to be the case, but in this particular
situation where we are looking in the vicinity of Jupiter we do have
``standard candles'' in the magnitude range of interest: the outer Jovian
satellites. The apparent magnitude during the first week of March 1992
goes down to $B=21.1$ for satellite XIII Leda (Astronomical Almanac 1992). 
It turned out that the trail of Leda corresponds almost exactly to what we
estimate as the faintest trailed object that we would have been able to find
during the scanning of the plates. For $B=21.1$ and the speed 
of Leda (2.8 arcsec hr$^{-1}$), we get using eq. (4) a limiting 
magnitude for stationary objects  of 22.1, in good agreement with 
exposures of photometric standard stars. We found that, on 90 min. 
exposures using sidereal tracking rate, in the fields F873-8 and
F873-16 (Stobie {\it et al.} 1985) the faintest stars visible were 
of B--magnitude $\approx 22.1$.

To believe in these estimates, remembering that we have not used a bandpass
filter, we have to show that the difference in color between the objects we
are looking for and the standard stars, is not too large. The 
colors of cometary nuclei have not been very well determined. However, 
as Hartmann {\it et al.} (1987) showed, the available data 
points to cometary nuclei being rather red,  
resembling D type asteroids. Asteroids in this class have B-V 
colors in the range 0.7 to 0.8, which is the same as for
faintest stars in the F873-8 and F873-16 fields that we could 
see. Thus, since the color only enters as a second order 
correction to the magnitude, we can safely say that we have reached 
a limiting magnitude of $B = 22.1$.

\bigskip\noindent
{\bf 2.3 Reductions}

\medskip
\noindent
We scanned the plates, using ordinary light tables
and magnifiers. Since the tracking rate used was non--sidereal, every
light source appear as a trail. The stars along one
direction and with the same length, and the solar system bodies with
varying directions and lengths. Because of the large number of trails due
to asteroids present in the field of view (200--300 per plate) we have to
apply some kind of selection criteria for inclusion in the further 
processing of the data. The simple criterion for marking an object (a trail)
was that the trail should be clearly shorter than the trails of the stars (cf.
section 1), which resulted in that all trails shorter than 15 
arcsec. were marked.
This obviously means that we excluded many objects not of interest to this project.
But the convenience of making quick decisions without having to
do any quantitative measurements during the very tedious work of scanning
the plates by eye, by far outweighs the small amount of extra work done when
making the astrometric measurements and orbit determinations.

The shortest trails we found were
about 12 arcsec long, corresponding to an hourly motion of 8 arcsec
which is just outside the region of ``slow--moving objects'' as defined 
in section 1.
This forces us to suspect that we did not find a single comet approaching Jupiter. 
However, to confirm the suspicion we measured the positions of these trails and 
calculated the orbits.

The procedure we followed was first to link the trails visually on different
plates and then calculate a preliminary orbit, using either V\"ais\"al\"a type
orbits (V\"ais\"al\"a, 1939 and Marsden, 1985) or the algorithm described
by Neutsch (1981). After discarding misidentified trails and recalculating
the orbits we were left with 20 orbits (table II).
Table II shows the pertinent orbital elements along
with information that indicate the accuracy of the determined orbits (i.e.
the mean residuals of the positions), as well as the position of the object
in its orbit. As can be seen, none of the objects is anywhere near 
Jupiter; in fact, the most distant object (T) has an aphelion distance of only
4.4 AU. Although interesting, since that object together with the objects
Q, R and S, appears to be a new member of
the Hilda group at the 3/2 mean motion resonance with Jupiter, it is not
a comet undergoing a close encounter with the planet. That they are Hildas
is verified by noting that they are all within 30\deg\  from perihelion (Table II).
This result obviously confirms that we have found no Jupiter approaching object.

\bigskip
\noindent{\bfS 3. Results of the search for comets}

\medskip
\noindent
To summarize the results of the search we can say that we found no slow moving object 
with a corresponding stationary object magnitude of $B<22.1$.
What we mean by that is that
the faintest objects a visual scan could detect would have a B--magnitude of
22.1 if untrailed. The uncertainty of this value is difficult to determine 
accurately, since the
crucial part has to do with a subjective estimate of how faint trails could
be found during the visual scan by eye of the plates. 
We estimate the uncertainty to be certainly less 
than 0.5 magnitudes, but probably not better than 0.2 magnitudes.

It is worth to point out that at the time of our observations there 
was a known comet close to Jupiter: P/Maury. 
That we could not see it in our plates is  not a surprise,
since, for an estimated nuclear magnitude 15 (Kam\'el 1992), the object
would be more than 1 mangnitude fainter than our limit.

\bigskip

\vbox{
\noindent {\bfS 4. Estimate of the number of encounters}

\noindent{\bf 4.1 Method}

\medskip
\noindent
The number of comets encountering Jupiter at a distance less than D 
at any time ($N_e(D)$~) is a function of the total number of JF 
comets ($N_{JF}$) and the probability for a comet to be close to the 
planet at any given time (the neighboring probability $p(D)$~):

$$ N_e (D) = \sum_{j=1}^{N_{JF}} ~ p_j(D) ~ ~ . \eqno(5)$$

\noindent
The neighboring probability is uniquely determined given the orbital 
elements of the comet and Jupiter. For small $D$ values it is
zero if the comet's orbit does not cross Jupiter's orbit, or if it is 
locked in a mean motion resonance. Since we know very little about 
the exact distribution of the orbital elements of the JF population, 
we choose only one element to characterize the comet's orbit and 
average over the variation of the other elements.
We use the perihelion distance ($q$) because the information about
the JF is very $q$--dependent.
The distribution information is complete only for comets with $q\lta1.5$ AU.
}

To estimate the neighboring probability we numerically  
integrated the whole sample of known JF comets (140 objects) for 
$\pm$ 10000 yr. A comet was considered to belong to 
the JF when the period became less than 20 yr., the Tisserand parameter 
$2<T<3$ and $q<5$ AU. The  integrations constitute an extension 
of a previous set of similar integrations for  $\pm$ 1000 yr (TR92). 
We used the same integrator (15$^{th}$ order  RADAU, Everhart 1985) and 
initial conditions as in TR92.  
The only difference was that in the present integrations we used a 
solar system  model containing only the Sun, Jupiter and Saturn.

Although we started our integrations with the observed population of 
JF comets with a $q$-distribution strongly peaked in the interval 
1--2 AU, after a few thousand years the distribution changed totally.
We get significantly more comets with higher $q$. This change is shown in Fig. 
4 a) and b), where we present histograms of the distribution at the 
beginning of the integrations and after $\pm$ 5000 and $\pm$ 10000 yr. 
We then have a data set well represented in the whole $q$--range of JF 
comets to extract the $q$--dependency of the neighboring probability.
About 98\% of the observed JF comets had at least one 
encounter at a distance less than 0.5 AU in the 20000 yr integrations, 
and generally many more (the median is around 60 encounters).

\bigskip

\noindent {\bf 4.2 The neighboring probability -- $p$}

\medskip
\noindent
From the output of the integrations, we computed the neighboring 
probability  by counting the total number of time steps the comets 
spent within a distance $D$ to the planet and dividing it by the total 
time spent in a certain $q$-range. 

In Fig. 5 we present a plot of the estimates of $p(D)$ for different $q$-bins. 
An almost constant value of the neighboring probability over  most 
of the $q$-range can be seen. In the range $1.5 < q <  4.5$ AU we 
get a mean value of  the neighboring probability of 0.0022 for 
$D < 0.5$ AU and 0.014 for $D < 1$ AU for both curves. Although there
is a slow trend with $q$ it amounts to a relative
difference less than 10 \% in the previous $q$-range with respect to 
the mean value. For lower 
$q$ values the probability increases. But the contribution of 
objects from this $q$-range to the total number of encounters should 
be very small because  of the small number of comets in this range 
and the fact that JF comets spend most of their time in intermediate 
or high  $q$-orbits (Nakamura and Yoshikawa 1992, section 4.1 above 
and section 6 below).

From the output of the integrations we extracted the dependence 
of the neighboring probability on the distance $D$ to the planet. 
Figure 6 presents the neighboring probability for different $q$-bins 
as a  function of the minimum distance $D$. The thick full line 
corresponds to the  probability computed with all the data, 
disregarding the classification with $q$.  The two uppermost lines 
correspond to the  lowest $q$ values, for which we found that the 
probabilities are larger than in the other $q$-bins for $D< 0.5$ 
and 1 AU (see Fig. 5). 
The thick full line fits a power law function with 
exponent 2.5:

$$  \overline p (D) = 0.014 ~ D^{2.5} ~~,  \eqno(6)$$

\noindent
where $D$ is expressed in AU. The dots in Fig. 6 were computed using eq. (6).

\bigskip
\vbox{
\noindent {\bfS 5. The magnitude distribution and the limiting magnitude}

\medskip
\noindent
For the final interpretation of our results we need to consider two 
other aspects: the distribution of nuclear magnitudes and the limiting 
absolute nuclear magnitude of the search. 
}

The distribution of nuclear magnitudes ($H_N$) is generally assumed to 
follow a power law distribution with an  index $s$:

$$ N(<H_N) \propto 10^{s H_N}\ \ , \eqno(7)$$

\noindent
where $N(<H_N)$ is the cumulative number of comets brighter than nuclear 
magnitude $H_N$.
Shoemaker and Wolfe (1982) used  Roemer's observations, and obtained a 
value for $s$ of 0.4 up to blue magnitude 16, where incompleteness 
begins. Fern\'andez et  al. (1992) used a larger data set, including 
recent CCD observations where the problems of coma contamination
were properly addressed.
Considering the sample of comets with $q< 1.6$ AU, 
where they assumed near  completeness of discoveries, they found an index of 0.5 . 
The range of possible values for the index $s$ can be extended down to 
$0.3$, if one relates it with the mass distribution index and
considers the range of values appearing in the literature (Bailey 1990). 


In Section 3 we found that the apparent limiting magnitude of our 
search was  $B=22.1$ for stationary objects. We will first correct 
this estimate due to the trailing described in Section 2.2. To make 
an estimate of the typical velocities of JF comets during an encounter 
we will again make use of our integration data set.

We compute the jovicentric relative position and velocity of the comets 
when they are closer than 1 AU to the planet. The $x$-axis in the 
jovicentric frame is always pointing away from the Sun. 
The $y$ and $z$ components of  the relative velocity are then the 
components of the projected relative velocity on the  sky plane. 
Since our observations were made close to opposition, these values can be  
used to estimate the relative hourly motion. We classified the data
with respect to $D$  and $q$. For $D>0.1$ AU, there is almost no dependence on 
$D$ for each $q$-bin. That is, the  variations of the projected 
velocities at different distance to the planet are negligible. A mean 
value during the encounters was then computed for each $q$-bin and plotted 
in Fig. 7. 

As the mean relative velocities decrease with $q$, the limiting 
magnitude tend to increase and we can detect fainter 
objects.  We will use a fixed limiting magnitude 
corresponding to the average projected relative velocity (4.0 arcsec 
hr$^{-1}$) over the range $1.5 < q < 4.5$ AU. 

Using eq. (4), we calculate a correction to the point source limiting magnitude for 
slow--moving objects of $\Delta m=-1.4$. The apparent 
limiting magnitude then becomes $B=20.7$, which in asteroid nomenclature is 
called the opposition magnitude $B(0)$.

\bigskip

\noindent {\bfS 6. A limit on the population size}

\medskip
\noindent
In Section 3 we concluded that we found no comet encountering Jupiter brighter 
than the  limiting magnitude of our search. The region 
covered by the plates  is a square in the sky-plane of 16\deg.2 
$\times$ 16\deg.2.  
The corresponding volume is less precicely defined, but since no 
object beyond the heliocentric distance 4 AU was found (Table II), 
we define the inner surface of the volume by the geocentric distance 
3 AU (remembering that we are looking at the direction of opposition). The 
outer surface of the volume we define by a geocentric distance of 
5.8 AU, since the outer edge of the peak of the Q--distribution of JF 
comets is at roughly 6.8 AU.

The neighboring probability described in Section 4.2 is a  cumulative 
probability of the distance to the planet. That is, all encounters with  
distances less than $D$ are considered. To compute the probability to 
find a comet in the ``truncated pyramid'' described above, we have to 
integrate the differential probability over this volume. 

The cumulative probability to find a comet within a distance $D$ is  
given by eq. (6).
The probability to find one inside a volume $V$ is then
$$ p_V = {2.5~ k \over 4 \pi } \int_V  {1 \over \sqrt D} dV \ \ , \eqno(8)$$

\noindent
where $k=0.014$. After numerical integration of this over the volume, we get 

$$ p_V = 1.00 k = 0.014 \ \ .\eqno(9)$$

\noindent
Since we did not observe any object, we can by using this probability only
derive an upper limit on the number of comets in the volume 
brighter than opposition magnitude $B(0) = 20.7$.
 
Consider a population of $N$ objects that can have close 
encounters with Jupiter. Three types of objects
contribute to this population: i) active comets ($N_a$), ii) 
dormant comets ($N_d$); and possibly iii) asteroids ($N_{ast}$) 
in cometary orbits (Milani et al. 1989, Hahn et al. 1991). The probability
of finding $n$ objects at a given
time at a distance less than $D$ to Jupiter is given 
by the Poisson distribution for $n$ events with a parameter $\lambda$ 
(total number of encounters at any time) given by

$$\lambda=N_a p_a + N_d p_d + N_{ast} p_{ast}\ \ , \eqno(10)$$

\noindent
where $p_a$, $p_d$ and $p_{ast}$ are the corresponding neighboring 
probability for each type of objects. With a 95\% certainty, we 
get $\lambda \le - \ln 0.05$. This inequality also holds for 
$N_a p_a + N_d p_d$ alone. Assuming that the dynamics of dormant 
comets can be described by the integrations discussed in 
section 4.1 (Tancredi 1993), we can say that $p_a = p_d$. Thus, 
for $p_a = 0.014$, $N_a + N_d  < -\ln 0.05 / 0.014 = 210$. This 
inequality also holds for each of the types of objects individually, 
and since we do not know the ratio of contribution, we will have a 
twofold interpretation of the upper limit.

First we consider the case where the objects we would have detected are the 
bare nuclei of the comets. The absolute nuclear  magnitude is computed 
from the apparent magnitude ($m$) using
$$H_N = m - 5 log (r \Delta) - \beta \alpha \ \ ,\eqno(11)$$
where $r$ and $\Delta$ are the heliocentric and geocentric distances of 
the object, respectively;  $\alpha$ is the phase angle and $\beta$ the 
linear phase coefficient for which we adopt a value of 0.035 mag/deg 
(Jewitt 1991). About the opposition effect, we can not say very much, 
except that it is probably very small. The reason for this is that the 
only available investigations are of asteroids (e.g. Bowell 
{\it et al.} 1989). Assuming the same behavior as for asteroids with 
very low albedo, we expect that the brightening of cometary nuclei at 
small phase angles is negligible.

Using Jupiter's heliocentric and geocentric distances at the time of 
the  observations ($r=5.4$ AU and $\Delta =4.4$ AU) as a mean for the 
encountering  comets, and a mean value for the phase angle of 1\deg, 
we find  a magnitude correction of $-$6.9.  For an opposition magnitude 
of 20.7, we get an absolute limiting magnitude of $H_N^B<13.8$. 
By using a typical geometrical albedo of 0.03 (Jewitt 1991) for cometary 
nuclei the corresponding nuclear radius is 9 km. 
Although most of the observed comets have absolute nuclear blue 
magnitudes between 15 and 18, there are a few (certain) cases of 
extreme brightness such as P/Neujmin 1 ($H_N^B=13.3$) and  P/Oterma ($H_N^B=13.7$)
(Fern\'andez {\it et al.} 1992). In fact, P/Neujmin 1 is one of the few
well--studied cases (Jewitt and Meech 1988). There are others, generally with 
high perihelion distances, but not as reliable.

We then conclude that the total number of Jupiter family comets both 
in the active and inactive phase brighter than absolute nuclear 
magnitude 13.8 is less than 210. 
This estimate can be transformed into an estimate of the total size of the JF 
population if a certain magnitude distribution is assumed. 
Figure 8 shows the corresponding upper limits at different magnitudes 
for three power law indices of the nuclear magnitude distribution ($s=$0.3, 
0.4 and 0.5). On the upper horizontal axis we show the corresponding nuclear 
radius for a geometrical albedo of 0.03. For an absolute nuclear 
magnitude of $H_N^B=18$ (corresponding to a nuclear radius of 1.3 km) 
the upper limits for the combined and individual populations of active 
and dormant JF comets are 3900, 10000 and 27000 for $s=$ 0.3, 0.4 and 
0.5, respectively.

A second alternative is to consider that a known fraction of the comets is
active at distances larger than 4 AU from the Sun, and the observed magnitudes 
hence  ``contaminated'' by a coma. To investigate this we looked at the 
data available on observations of JF comets at large heliocentric
distances. From the Comet Light Curve Catalogue/Atlas (CLICC/A, 
Kam\'el 1992) we extracted all (19) the observations of JF comets made at 
larger heliocentric distances than 4 AU.
We then added data for two comets published later (Luu and Jewitt 1992, 
Mueller 1992), as well as own observations of 6  nuclei not yet 
published (two of them already included in CLICC/A). 
We ended up with 11 out of 25 objects
classified as inactive. Based on this fact, we then argue that roughly half 
of the comets appear nuclear at distances $\ge$ 4 AU and the rest
is brightened by typically 1.5 mag. There is of course an 
observational bias towards active comets, (i.e. where the activity 
makes an otherwise too faint comet brigter than the limiting magnitude), 
since unsuccessful observations seldom get reported as limits on the 
magnitude of the undetected object.

Define $x$ to be the fraction of comets that appear to be $\Delta H$ 
brighter than their respective nuclear magnitudes $H$. The distribution 
of the absolute magnitude ($\nu(H)$) of the observed objects is then 
related to the distribution of absolute nuclear magnitudes $N(H)$ by

\vbox{
$$\nu(H) = (1 - x) \ N(H) \ + \ x \ N(H+\Delta H)\eqno(12). $$
Using eq. (7), we get
$$\eqalignno{\nu(H) & =  (1 - x) \ N(H) \ + \ x \ 10^{s \Delta H} N(H)\cr
& =  \left( 1 + (10^{s \Delta H} - 1) \ x \right) \ N(H) \cr
& \equiv \beta N(H) & (13). }$$
}

\noindent
For $x=0.5$, $\Delta H=1.5$ mag. and $s=$0.3, 0.4 and 0.5 we get 
$\beta=$1.9, 
2.5 and 3.3, respectively. The upper limits of the number of active JF 
comets brighter than nuclear magnitude 13.8 is then 110, 80 and 60 
for the three indices respectively. In Fig 8 we show the corresponding 
upper limits at different magnitudes for the three power law indices.
For an absolute nuclear magnitude of $H_N^B=18$ the upper 
limits for the population of active JF comets are 2000, 4000 and 8000 
for $s=$ 0.3,0.4 and 0.5, respectively.

For the different distribution indices we then have a range of possible 
upper limits, depending on the activity level of JF comets at 5 AU from 
the Sun. 

\bigskip

\noindent {\bfS 7. Discussion}

\medskip
\noindent
As mentioned above, our knowledge about the number distribution of 
comets is  limited to objects with small perihelion distance. The 
problem to estimate the true number distribution for the whole 
population has been approached  using both observational and theoretical 
considerations.  Dynamical studies by Froeschl\'e and Rickman (1980) and
Fern\'andez (1984) show that there is a steep increase of the number 
of comets with $q$. Perhaps with a flattening distribution at high $q$ values. 

From  high-precision numerical integrations of the whole sample of JF 
comets over 4400  years, Nakamura and Yoshikawa (1992) estimate that 
there should be 20 times more  comets with $q$ in the range 3.5 to 5 AU 
than in the range 1 to 2 AU, reinforcing  the idea of a steep increase.

Regarding observational evidence we have the detailed analysis of Roemer's  
photographic nuclear magnitudes data set by Shoemaker and Wolfe (1982). 
In the  $q$-range 1.1 to 1.7 AU, where they claim to have near 
completeness of the  discoveries, they found a flat distribution of the 
number of comets with $q$. For  higher values of $q$ their sample suffers 
from incompleteness and they draw no conclusion.
They extrapolate the flat trend to a distance of 5.5 AU, and get 
a total  number of 1400 JF comets down to blue nuclear magnitude $H_N^B=18$. 
Several comets with $q$ in the range 1.1 to 1.7 AU have since then been 
discovered and the estimate should therefore be revised upwards.

In contrast, a more recent analysis of a large amount of observational 
material by  Fern\'andez {\it et al.} (1992) points towards a steep 
increase of the number  distribution with $q$, at least up to 
$q \approx 2.5$.  Estimates at larger distances were also in this case 
prevented by incompleteness of the sample. Nevertheless, they
estimated that the total  number of JF comets brighter than absolute total 
magnitude $H_{T,10}=11$ is $\approx 4000$. 

Although the magnitude limits applied in both estimates are different, 
but  nevertheless comparable, the factor of 3 of discrepancy between 
the two results  illustrates the large uncertainties that exist on our 
knowledge of the true size of the  JF population.

Regarding the population of dormant and/or extinct comets, the only 
attempt to estimate its size was done by Shoemaker {\it et al.} (1986). 
They considered that the 9 Jupiter approaching asteroids discovered by 
1986 are extinct comets. They assumed for this population the same 
magnitude and flat perihelion distribution found for cometary nuclei. 
A number of 1460 extinct comets up to $H_N^B=18$ was estimated, very 
similar to the number of active objects.

Comparing with these previous estimates of the size of JF population,
the upper limits found  in this work (assuming no activity at 5 AU) seem 
still to be too high. However, remember that the upper limits also hold for
both active and dormant comets. Little is known about the total number of active 
JF comets and we know almost nothing about the combined population.
If the active comets contribute significantly to the 
population of objects encountering Jupiter, the upper limits set by our 
search are comparable to previous estimates. 
The big advantage of our estimate is due to the fact that the number of 
comets encountering Jupiter is not dependent on the particular shape 
of the number distribution with $q$. To estimate the total size of the
JF population we do not make use of an uncertain $q$-distribution, but we do 
make use of an ill--defined  nuclear magnitude distribution as the 
other estimates did. 
Another  interesting conclusion is that the comets discovered by this 
strategy would have a $q$-distribution that would reflect the 
true $q$-distribution of the  whole JF population.
For example, if the population of JF comets consists of 3 to 4 thousand 
members up to nuclear blue magnitude 18, and if a region of similar size 
to the one observed by us could be covered with a limiting magnitude 
$B\sim25$ for stationary objects, about 50 new comets would be found.

A better knowledge of the activity level at large heliocentric distances 
and of the size distribution of JF comets can make our strategy a 
powerful, reliable and fast tool to estimate the size of the JF 
population as well as its true $q$-distribution.

\bigskip
\noindent {\bfS 8. Future work}

\medskip
\noindent
Figure 5 in TL92 shows that the half--duration of encounters are 
typically less than one  year. Since the time between encounters 
never is shorter, most of the comets that  are encountering Jupiter 
at one opposition will generally not be close to  the planet at the 
next. New comets will have replenished the almost constant number  of 
Jupiter vicinity visitors.  A new search during next Jupiter opposition 
will hence give a better constraint on the  size of the JF population. 
If we do not find any comet during next opposition, the upper limit 
given above will be reduced by a factor of $\approx 
0.7$ (assuming a typical duration of encounter of 1.4 yr); and we will 
be much closer to the population sizes estimated by other methods. At  
least if a power law index with $s<0.4$ is assumed. 
A second search is now being conducted (March-April 1993) and its 
results will be published elsewhere. 

During the course of this second search an extraordinary comet 
encountering Jupiter was discovered by C. and E. Shoemaker and D. Levy 
(comet P/Shoemaker-Levy 9 -- 1993e, IAUC 5725). The comet split in more 
than 10 detectable pieces possibly due to tidal forces in a close 
encounter with Jupiter in 1992. We looked unfruitfully for comet 1993e in 
all the plates and in particular in a broad region centered on the 
positions suggested by Yeomans and Chodas (orbit N\deg\  24)
in the 1993e Bulletin board.
The non--detection agrees with the hypothesis that the splitting
ocurred close to July 2 1992, during the close approach.
At the time of our observations, 4 months before, only the bare nucleus
would have been detectable. 
On March 6 1992, the object was 5.5 AU from 
the Sun and 4.5 AU from the Earth and the expected relative motion to 
Jupiter was 2.3 "/hr. A lower limit of the absolute blue 
nuclear magnitude is then B(1,0)=14.3. For a geometrical albedo of 0.03,
the nuclear radius should be smaller than 7.2 km. 

The discovery of this object illustrates the importance of looking for
comets at a very interesting phase of their dynamical and physical evolution.









\vskip 20mm 

\noindent{\bfS Acknowledgments}

\vskip 5mm

This search could not have been made properly without the support from the staff of the ESO-Schmidt telescope. We express our sincere thanks for the effort they spent in carrying out an important part of this project. The authors would also like to thank the colleagues of the planetary group of the Uppsala Astronomical Observatory for helpful suggestions and valuable discussions. 


\vfill \eject

\noindent {\bfS References}

\medskip

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\vfill \eject

\nopagenumbers
\noindent{\bfS Figure Captions}

\bigskip

\noindent
{\bf Fig. 1 --} An ecliptic x--y projection of the orbits of the planets
Earth, Mars and Jupiter together with the positions of 4295 asteroids
(small dots) and 122 Jupiter family comets (large dots) on the date
of Jupiter opposition, February 29, 1992.
\medskip

\noindent
{\bf Fig. 2 --} The distribution of observed short-period comets at any time in a rotating pulsating frame with the Sun at (0,0) and Jupiter at (1,0). The scale (in arbitrary units) is also shown.

\medskip

\noindent
{\bf Fig. 3 --} The dependence of the correction to the limiting magnitude ($\Delta m$) due to the trailing of a point source. $v t$ is the length of the trail and $d$ the FWHM of the seeing disk.

\medskip

\noindent
{\bf Fig. 4 --} Histograms of the number of comets as a function of perihelion distance at different instants in the $\pm$ 10000 yr integrations. a) backward integrations: full line at present, dashed line at -5000 yr in the past and dotted line at -10000 yr. b) forward integrations: full line at present, dashed line at +5000 yr into the future and dotted line at +10000 yr.

\medskip

\noindent
{\bf Fig. 5 --} The neighboring probability ($p$) as a function of $q$ for encounters with $D < 0.5$ AU (lower curve) and 1 AU (upper curve).

\medskip

\noindent
{\bf Fig. 6 --} The dependence of the neighboring probability on $D$ for different $q$-bins (thin full lines). The full-drawn thick line is the mean of the curves in the range $1.5 < q < 4.5$ AU. The dots correspond to a power law with index 2.5 and $p(D < 1 {\rm AU}) = 0.014$.

\medskip

\noindent
{\bf Fig. 7 --} The projected relative velocity ($U_{proj}$) as a function of $q$ for
different units of the projected velocity.
The left $y$-axis shows $U_{proj}$ in units of Jupiter's orbital velocity ($U_J$). The hourly motion in arcseconds, corresponding to a geocentric distance of 4.4 AU at opposition is on the inner right $y$-axis. The outer right $y$-axis corresponds to magnitude corrections computed with eq. (4) for 90 min. exposures.

\medskip

\noindent
{\bf Fig. 8 --} The upper limits of the cumulative number of JF comets as a function of the absolute nuclear magnitude and radius using a geometrical albedo of 0.03. The steepest lines correspond to a power law magnitude distribution with an index $s = 0.5$, the middle lines to $s = 0.4$ and the least steep lines to $s = 0.3$. The full lines correspond to estimates assuming that comets are inactive at 5.4 AU. The dashed lines correspond to estimates assuming coma contribution.





\bye
