A&A 395, 297-303 (2002)
DOI: 10.1051/0004-6361:20021265
H. Boehnhardt 1 - A. Delsanti 12 - A. Barucci 2 - O. Hainaut 1 - A. Doressoundiram 2
- M. Lazzarin 3 - L. Barrera 4
-
C. de Bergh 2
- K. Birkle 5
- E. Dotto 67
- K. Meech 8 - J. E. Ortiz 9
- J. Romon 2
- T. Sekiguchi 10
- N. Thomas 11
-
G. P. Tozzi 12
- J. Watanabe 10
- R. M. West 13
1 - European Southern Observatory ESO,
Alonso de Cordova 3107,
Santiago de Chile, Chile
2 - Observatoire de Paris-Meudon,
5 place Jules Janssen,
92195 Meudon Cedex, France
3 - Astronomical Observatory of Padova,
Vicolo dell' Osservatorio 5,
35122 Padova, Italy
4 - Institute for Astronomy,
Universidad Catolica del Norte,
Antofagasta, Chile
5 - Max-Planck-Institut für Astronomie,
Königstuhl 17,
69117 Heidelberg, Germany
6 - INAF - Observatorio Astronomico di Torino,
Strada Osservatorio 20,
10025 Pino Torinese (TO), Italy
7 - INAF - Osservatorio Astronomico di Roma,
via Frascati 33,
00040 Monteporzio Catone (Roma), Italy
8 - University of Hawaii,
2680 Woodlawn Drive,
Honolulu, Hawaii 96822, USA
9 - Instituto de Astronomia de Andalucia,
PO Box 3004,
18080 Granada, Spain
10 - National Astronomical Observatory,
Osawa 2-21-1,
Mitaka, Tokyo, Japan
11 - Max-Planck-Institut für Aeronomie,
Postfach 20,
37189 Katlenburg-Lindau, Germany
12 - Osservatorio Astrofisico di Arcetri,
Largo E. Fermi 5,
50125 Firenze, Italy
13 - European Southern Observatory ESO,
Karl-Schwarzschild-Str. 2,
85748 Garching, Germany
Received 7 May 2002 / Accepted 30 August 2002
Abstract
We present the first results of BVRI photometry of Transneptunian
Objects (TNOs) and Centaurs obtained through the ESO Large Program on physical
studies of these icy bodies in the outer solar system. In total 28 objects
were observed of which 18 are new measurements.
Combining our new BVRI photometry with the data summary published
by Hainaut & Delsanti (2002) results in a database of 94 objects: 45 Cubewanos,
22 Plutinos, 13 scattered disk objects, 14 Centaurs.
The reddening range seems to be similar
among the four dynamical classes (-5 to 55%/l00 nm) and only one outlier
(1994 ES2) exists. The spectral gradient distribution of the Cubewanos
peaks between 25 to 35%/l00 nm, while for the three other types the maximum
seems to fall below 20%/l00 nm. A clustering
of red Cubewanos with perihelia beyond 41 AU in low eccentricity and
low inclination orbit suggests that these objects are less affected by the
physical processes that potentially produce neutral colors, i.e. resurfacing
by collision and by intrinsic activity. For Cubewanos and scattered disk
objects, the range of reddening increases with decreasing perihelion distance
and with increasing orbital excitation. A correlation of the spectral
slope with inclination is present for Cubewanos and scattered
disk objects, and is non-existent for the other dynamical types. It is
unclear whether these trends (or their absence) are discriminative for the
correctness of the resurfacing scenarios. If intrinsic activity is
responsible for resurfacing, the start of the effect inside
41 AU from
the Sun may be indicative for the driving agent, while in the collision
scenario the survival of the red Cubewano cluster in the central region
of the Kuiper-Belt argues for the existence of a population of bodies the
surface of which is heavily radiation processed without impact resurfacing.
Key words: Kuiper-Belt - minor planets, asteroids - techniques: photometric
The Kuiper-Belt region is the origin of icy bodies that are among the most pristine solar system objects observable from Earth: Transneptunian Objects (TNOs) and Centaurs. Among TNOs three dynamical classes are identified: the Plutinos with orbits in the 2/3 resonance to Neptune (like Pluto/Charon), the Cubewanos in slightly elliptical orbits with semi-major axes between about 40 and 46 AU and the scattered disk objects in highly eccentric orbits and with semi-major axes of at least the distance of Cubewanos. The Centaurs, which are probably escapees from the Kuiper-Belt, appear to be the 4th dynamical class of TNOs with eccentric orbits between the distance of Jupiter and Neptune. For a description of the dynamical classes of TNOs and their evolution see Levison (2002).
Physical studies of TNOs and Centaurs are based on visible and near-IR photometry and spectroscopy addressing global colors and spectral gradients as well as spectral absorption features that are characteristic of the surface material of the objects. By far, the most numerous data on TNOs and Centaurs (more than 60 TNOs and 15 Centaurs) are available in the form of broad band BVRI photometry, much less (in total 7 TNOs and 6 Centaurs) with JHK photometry; see Hainaut & Delsanti (2002) for a listing of visible and near-IR colors plus references to the original papers.
After some precursor programs at ESO telescopes a consortium of scientists (see list of authors) has proposed a comprehensive observing and analysis project on physical properties of TNOs and Centaurs, to be performed within the framework of an ESO Large Program. The project was accepted to be executed at ESO telescopes in Cerro Paranal and La Silla during April 2001 to March 2003. The main goals and the implementation of the project are described in Boehnhardt et al. (2002).
In this paper we present and discuss the observations of the first set of 28 objects, measured photometrically through BVRI filters during the first semester of the project. Further results - visible and near-IR photometry as well as spectroscopy - will be published elsewhere.
The CCD photometry of TNOs and Centaurs was performed between April and August 2001 at the Very Large Telescope (VLT) facility of the European Southern Observatory ESO in Chile, in both visitor and service mode. During this period 24 hours of service mode time were scheduled for our program. The service mode exposures were performed under clear to photometric conditions with dark sky and seeing <0.8''. Of the first two visitor mode nights only the one on 26-27 April 2001 had useful results under clear sky conditions with seeing of 0.6-1.0''. About 15 percent of the available time of this night was used for photometry, the rest was spent on quasi-simultaneous spectroscopy of the targets.
In both cases (visitor and service mode), the FORS1 instrument mounted to one of the VLT unit telescopes (UTs) was used, i.e. on UT1 Antu until July 2001 and on UT3 Melipal as of August 2001. FORS1 was used in imaging mode with broad band Bessell BVRI filters (Bessell 1990). See the VLT observatory web page http://www.eso.org/paranal for technical information of the telescopes and instrument used. A standard filter exposure series RBVIR was executed sequentially per object within 25-45 min. In a few cases (fainter objects) the total integration time was extended to 60-90 min. If needed (avoidance of sky saturation) the total time per filter was split in two or more exposures. The R filter exposure was repeated every 30-40 min interleaved with other filters in order to allow the monitoring of object variability. For a small number of objects more than one filter exposure series were taken. In visitor mode, differential auto-guiding of the telescope at the velocity of the moving object was applied during the observations, in service mode sidereal tracking was used (since no impacts on the photometric accuracy were expected from the small trailing of the objects during the 5-15 min exposures).
Standard star fields (Landolt 1992) - at least one field close to meridian during service mode, about 4-5 fields over a wider air-mass range in visitor mode - were taken during the TNO observing nights as well as the usual set of bias and sky flat-field exposures.
Object | Class(1) | Epoch(2) | M11(3) ![]() |
Grt(4) ![]() |
B-V ![]() |
V-R ![]() |
R-I ![]() |
1994 EV3 | QB1 | 27/04/2001 | 7.550 ![]() |
37.728 ![]() |
1.065 ![]() |
0.670 ![]() |
0.800 ![]() |
1994 JQ1 | QB1 | 28/04/2001 | 6.936 ![]() |
24.690 ![]() |
1.242 ![]() |
0.586 ![]() |
0.676 ![]() |
1996 GQ21 | Scat | 27/04/2001 | 4.798 ![]() |
37.371 ![]() |
1.011 ![]() |
0.726 ![]() |
0.694 ![]() |
1996 RR20 | Plut | 15/08/2001 | 7.575 ![]() |
37.766 ![]() |
1.111 ![]() |
0.801 ![]() |
0.551 ![]() |
1996 SZ4 | Plut | 17/08/2001 | 8.565 ![]() |
9.161 ![]() |
0.670 ![]() |
0.492 ![]() |
0.377 ![]() |
1997 QH4 | QB1 | 26/07/2001 | 7.474 ![]() |
29.579 ![]() |
1.264 ![]() |
0.671 ![]() |
0.619 ![]() |
1997 QJ4 | Plut | 26/07/2001 | 8.047 ![]() |
-1.507 ![]() |
0.808 ![]() |
0.296 ![]() |
0.430 ![]() |
1997 RT5 | QB1 | 21/07/2001 | 7.610 ![]() |
12.345 ![]() |
1.075 ![]() |
0.474 ![]() |
0.539 ![]() |
1998 KG62 | QB1 | 21/07/2001 | 6.931 ![]() |
24.644 ![]() |
1.123 ![]() |
0.638 ![]() |
0.552 ![]() |
1998 KR65 | QB1 | average(a) | 6.586 ![]() |
26.619 ![]() |
0.956 ![]() |
0.524 ![]() |
0.822 ![]() |
1998 QM107 | Cent | 21/07/2001 | 10.891 ![]() |
7.769 ![]() |
0.771 ![]() |
0.474 ![]() |
0.368 ![]() |
1999 HC12 | QB1 | 17/05/2001 | 7.859 ![]() |
8.018 ![]() |
0.894 ![]() |
0.490 ![]() |
0.343 ![]() |
1999 HX11 | Plut | 25/05/2001 | 7.432 ![]() |
12.410 ![]() |
0.650 ![]() |
0.527 ![]() |
0.412 ![]() |
1999 KR16 | QB1 | 27/04/2001 | 5.885 ![]() |
48.685 ![]() |
1.002 ![]() |
0.826 ![]() |
0.730 ![]() |
1999 OM4 | QB1 | 21/07/2001 | 7.521 ![]() |
20.038 ![]() |
1.137 ![]() |
0.602 ![]() |
0.499 ![]() |
1999 OY3 | QB1 | 18/05/2001 | 6.951 ![]() |
-2.205 ![]() |
0.689 ![]() |
0.358 ![]() |
0.205 ![]() |
1999 RB216 | QB1 | 25/07/2001 | 7.668 ![]() |
14.558 ![]() |
0.897 ![]() |
0.522 ![]() |
0.506 ![]() |
1999 RD215 | Scat | 15/08/2001 | 7.863 ![]() |
-- | -- | -- | 0.498 ![]() |
1999 RE215 | QB1 | average(b) | 6.587 ![]() |
30.747 ![]() |
1.003 ![]() |
0.697 ![]() |
0.559 ![]() |
1999 RJ215 | Scat | 22/07/2001 | 7.881 ![]() |
1.400 ![]() |
0.919 ![]() |
0.302 ![]() |
0.521 ![]() |
1999 RY215 | QB1 | 21/07/2001 | 7.430 ![]() |
2.542 ![]() |
0.645 ![]() |
0.358 ![]() |
0.453 ![]() |
1999 RZ215 | Scat | 21/07/2001 | 8.072 ![]() |
19.428 ![]() |
0.771 ![]() |
0.575 ![]() |
0.539 ![]() |
2000 CL104 | QB1 | 23/05/2001 | 7.057 ![]() |
29.523 ![]() |
1.223 ![]() |
0.628 ![]() |
0.708 ![]() |
2000 EB173 | Plut | average(c) | 4.961 ![]() |
25.362 ![]() |
0.958 ![]() |
0.646 ![]() |
0.554 ![]() |
2000 EC98 | Cent | 27/04/2001 | 9.964 ![]() |
9.058 ![]() |
0.854 ![]() |
0.466 ![]() |
0.439 ![]() |
2000 EE173 | Scat | 29/04/2001 | 8.597 ![]() |
13.453 ![]() |
0.707 ![]() |
0.496 ![]() |
0.535 ![]() |
2000 FD8 | QB1 | 29/05/2001 | 7.034 ![]() |
29.022 ![]() |
1.121 ![]() |
0.677 ![]() |
0.594 ![]() |
2000 GN171 | Plut | 27/04/2001 | 6.187 ![]() |
25.549 ![]() |
0.924 ![]() |
0.622 ![]() |
0.617 ![]() |
(1) Dynamical class:
,
,
disk object,
;
(2) Epoch observed, "average'' if more epochs were observed,
averaging method according to Hainaut & Delsanti (2002); (3) M11 is the
absolute R magnitude (not corrected for phase effects); (4) Grt is the spectral
gradient
(%/100 nm); individual results for "averaged'' objects are
as follows:
(a) 1998 KR65: 18/05/2001
;
30/05/2001
;
(b) 1999 RE215: 22/07/2001
;
25/07/2001
;
(c) 2000 EB173: 19/04/2001
;
27/04/2001
.
The data reduction was performed using the MIDAS (Munich Image & Data Analysis System) software package of ESO.
Basic reduction: the data were bias-subtracted and divided by a flat-field frame. The bias is a median frame of a series of raw bias frames taken close in time (1-2 days) to the science exposures. The flat-field used is a median frame of a series of normalized, bias-subtracted twilight flat-field frames. At this stage, we did not correct the images for bad columns or cosmic rays. We prefer to perform blemish correction in the area of the object only if necessary. Fringes in the I filter were not corrected either.
Photometric calibration: the photometric calibration was done using the MIDAS TMAG package (http://www.sc.eso.org/~ohainaut/). The stars from Landolt (1992) fields were measured using a large (i.e. 15'' diameter) aperture. For those observations which were performed in service mode, between one to three standard stars fields per night were available in the framework of the instrument calibration plan. When we had only one or two standard fields, the extinction could not be computed by least square fits of the standard stars measurements, since the range of air-mass was not well sampled. Thus, the photometric calibration parameters were determined as follows:
Object photometry: the objects were measured with an aperture
diameter set of up to 5 or 6 times the stellar full width at half
maximum (FWHM) for each individual frame. This FWHM was evaluated
on each image from several nearby, non-saturated stars. The sky
background was measured in a 10 pixel (i.e. 2'') wide annulus
centered on the object, at 6 FWHM from its center. As we
use these magnitudes for color studies only, the resulting colors
are not affected. In case of multiple exposures per object and
filter a check is performed whether the results are consistent
within the error bars and, if so, the mean magnitude per filter
is calculated. Only in one case, 1994 EV3, a significant
variability of the filter brightness (see Sect. 4) was found.
Here, we applied a slightly different approach to obtain
realistic colors for this object in "conjugated'' filters (for
instance V-R or R-I): since the filter exposures were not taken
simultaneously, the brightness of the "conjugated'' filter (for
instance R) is estimated by linear interpolation
of the filter brightness closest to the mid exposure time of
the exposed filter (for instance V or I). In this way, a small
series of colors in "conjugated'' filters is obtained and the
mean values of the colors plus their standard deviations are
calculated.
In addition to the classical aperture photometry we applied also the aperture correction method (Howell 1989) to a sub-sample of our data in order to compare the results obtained. Both methods gave the same results for the colors within the respective errors for the objects.
Error sources: the errors of the filter magnitudes are
estimated as the sum of the absolute errors of the individual
contributing parameters. Error contributions come from the
basic data reduction (noise and flatness of sky background;
1-2%), the uncertainty of the photometric calibration parameters
(e.g. zero points, extinction, instrument colors; 3-8%) and the
measurement error of the actual object for the method used (1-5%).
In the case of SM with 1 to 2 standard star fields, the main
error contributions are from the uncertainties of the zero
points (2%) and the errors of the (assumed) extinction parameters
(
3-7%) when observations were made at high air masses.
Error contributions in full aperture measurement result from
variations in the sky background due to the relatively large
aperture radius applied. Here, the impact of very faint
extended sources in the apertures is not considered; however,
the neighborhood of objects is carefully searched for
indications of such "photometry contaminant's''.
The results from the aperture correction method are much
less affected by sky noise (typically a factor of 2 less).
Instead, error contributions
can be due to variation's in the flat-field level, due to the
companions of trailed object with stellar ones and due to
effects from good seeing (<0.6'') such as undersampling of
the point-spread-function (FORS1 pixel size is 0.2'') and
image quality changes across the field of view due to the
imaging optics of the instrument. Advantages and disadvantages
of the aperture correction method are discussed in Howell (1989)
and Barucci et al. (2000). The errors due to
trailing, under-sampling and change of image quality (<2%)
are considered for the total error budget of this method.
The uncertainties of the color data (see Table 1) are calculated by formal quadratic error propagation.
The absolute brightness, spectral gradient and colors together
with the dynamical type of the object are listed in Table 1.
The absolute brightness is calculated without phase angle
correction (this correction is small - order of 0.05 mag
- since the phase angles do not exceed 2 deg in most cases).
The spectral gradient is derived as described by Boehnhardt et al. (2001). If applicable, the results are averaged over the
number of observed epochs. Reflectivity plots (not shown here)
as presented in Delsanti et al. (2001) were used to verify the overall
agreement of the slope of the individual color gradients
with the overall trend over the B-I wavelength range.
![]() |
Figure 1: Spectral gradient histograms of Cubewanos, Plutinos, Centaurs and scattered disk objects. The histogram shows the distribution of the number of objects per spectral gradient interval for the various dynamical classes. The gradient intervals are given at the abscissa. The table at the bottom lists the numbers plotted in the histograms. |
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Overview: 18 of the 28 targets were measured for the first time, 10 objects have color data published by other groups. For 6 objects (1966 RR20, 1997 QH4, 1998 QJ4, 1998 KG62, 1999 OY3, 2000 EB173) our results are in good agreement with those of various other groups (for comparison data see Hainaut & Delsanti 2000). Deviations exist for 4 objects (1994 EV3, 1996 SZ4, 1998 QM107, 1999 KR16).
1994 EV3 appeared as an outlier in the previous color
studies (Luu & Jewitt 1996; Boehnhardt et al. 2001; Gill-Hutton et al. 2001). The new observations of this object display brightness
variations during our RBVIRBVI exposure series (with total
execution time of 120 min), namely for the B and V filters
(0.5 mag), that would result - if taken per se - in a
spectrum of variable slope both over wavelength and in time.
However, if the measurements are used to calculate
"quasi-simultaneous'' colors for "conjugated'' filters as
described in Sect. 3, this object
appears to be a "normal''
very red Cubewano with a rather uniform spectral slope.
Hence, the outlier character of 1994 EV3 may be due to
significant brightness variability on a short time scale
caused by cross-section and/or albedo variations over the
rotation phase.
1996 SZ4, 1998 QM107 and 1999 KR16 have deviations only slightly outside the error bars of the various published results. These differences could be due to intrinsic variability of the objects provided that no systematic errors exist between the results of the various groups. The latter, however, is not verified.
In this section we discuss trends in the color-color distribution of TNOs and Centaurs and we present the spectral gradient distributions of the various dynamical classes, i.e. for Cubewanos, Plutinos, scattered disk objects and Centaurs, as well as versus orbital properties of the objects. The goal of the latter exercise is to draw conclusions on specific physical characteristics that could be typical for the various object types and/or indicative of the influence of certain physical processes on their global surface properties. Three processes are proposed to affect the spectral gradients of TNOs and Centaurs: (1) high energy radiation aging, producing red colors and steeper gradients in the visible wavelength range (Strazzulla & Johnson 1991; Shul'man 1972), (2) impact resurfacing producing gray colors through fresh ice deposits from the impact craters (Stern 1995) and (3) intrinsic activity acting in a similar way as impact resurfacing, i.e. causing gray colors through fresh ice deposits (Hainaut et al. 2000; Boehnhardt et al. 2001).
Data set: the data set for this discussion is based on spectral gradients of objects listed in the summary Tables 2 and 3 of Hainaut & Delsanti (2002) supplemented by our new data as given in Table 1. For each object the averaged spectral gradient was calculated using all available data and following the procedure outlined in Hainaut & Delsanti (2002). The merged database has spectral gradients of in total 95 objects of known dynamical type, of which 14 are Centaurs, 45 Cubewanos, 22 Plutinos and 13 scattered disk objects. One object (1994 JV) for which sufficient color data are available is lost and no dynamical type could be determined from the observed orbit arc. It is therefore excluded from the subsequent analysis.
The objects display the normal range of TNO and Centaur colors known from other data sets, and follow the overall reddening trend of the objects (Boehnhardt et al. 2001; Delsanti et al. 2001; Trujillo et al. 2002). Following the statistical procedure described in Hainaut & Delsanti (2002), the data subsets of the Plutinos and Cubewanos were tested for bimodality in the color-color distribution as reported (at least for Cubewanos) by Tegler & Romanishin (1998, 2000): unfortunately, their conclusion does not appear statistically substantiated in our somewhat larger data set. However, a small clustering of red Cubewanos is noteworthy (see also Sect. 5.2). The V-R versus B-I trend suggests that the spectral slope in the V-R region is a good indicator for the gradient over the larger B-I wavelength range.
Counting the number of objects per spectral gradient
interval (defined by the average uncertainty value of <10%/100 nm
of the spectral gradients in the database) for the 4 dynamical
classes gives the histogram
distributions in Fig. 1. With one exception (i.e.
1994 ES2 with gradient 80%/100 nm) all objects
have spectral gradients
within -5 to 55%/l00 nm. 5145 Pholus, previously also
considered an "outlier'' Centaur (52%/l00 nm), appears to
be only at the tip of a "tail'' of very red objects,
since the Centaur 7066 Nessus (45%/l00 nm) and the
Cubewano 1999 KR16 (50%/l00 nm) have reddening gradients
not much smaller and thus they are starting to fill the
gap in the previously published spectral gradient
distributions of TNOs and Centaurs (Barucci et al. 2001;
Boehnhardt et al. 2001).
The Cubewanos show a pronounced peak (20 objects) in the reddening range 25-35%/l00 nm. The Plutinos have a maximum for 5-15%/l00 nm slope with the possibility of a second only very red population (peak at 35-45%/l00 nm). The peak among the Centaurs at 5-15%/l00 nm seems to confirm earlier suggestions by Boehnhardt et al. (2001) and Delsanti et al. (2001). The scattered disk objects show a weak maximum around 5-15%/l00 nm. From Fig. 1 it appears that the gradient distribution of the Cubewanos differs from that of the Plutinos. The ones of the Centaurs and scattered disk objects have some similarity to that of the Plutinos, i.e. the peak at reddening of 5-15%/l00 nm, even though the overall sample of the former object types is not yet large enough to consider it a firm conclusion.
![]() |
Figure 2: Spectral gradient versus orbital excitation E. The plot shows the spectral gradient over the excitation parameter E of the orbits for Cubewanos, Plutinos, Centaurs and scattered disk objects. The Cubewano and Plutino populations show upper limits in E due to the absence of Neptune-crossing orbits with high eccentricity. |
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Here we analyse the spectral gradient distribution versus orbit excitation as indicator for the collision probability and severity and versus perihelion distance as tracer for effects related to intrinsic activity driven by Sun illumination.
Spectral gradients and orbit excitation parameter:
various authors have analyzed the published color data
of TNOs and Centaurs for correlations with orbital
parameters. Most noteworthy is the conclusion by
Trujillo et al. (2002), Tegler & Romanishin (2000), and
Hainaut & Delsanti (2002) that Cubewanos appear redder
for smaller eccentricity e and inclination i. Both e
and i contribute to the so called excitation parameter
of the orbit,
i.e. the object's velocity perpendicular to the
Ecliptic and in radial direction. E is an estimate
for the velocity of the object with respect to another
object at the same distance, but in a circular orbit
and it might thus be related to the collision velocity
and/or collision probability.
Figure 2 shows the distribution of spectral gradients
versus excitation parameter E for the objects of the
four dynamical classes. Cubewanos with low excitation
parameters appear to be of red color. Only two objects
(1998 SN165 and 1998 WV24) with low spectral gradient
and low excitation parameter E are found. The range
of reddening increases with increasing excitation
parameter E until the maximum range (0-50%/l00 nm)
is reached for excitations of 0.3-0.4 or higher. This
seems to be valid for all dynamical classes. The maximum
reddening value may increase slightly with increasing E.
We also tested the relationship between spectral
gradients and inclination (as proposed for Cubewanos
and scattered disk objects by Trujillo & Brown 2002) as
well as between spectral gradient and eccentricity
using linear regression fits to the data. In the case
of the inclination there is a weak correlation
(correlation coefficient 0.2) for Cubewanos
(
0.65%/l00 nm) and for scattered disk
objects (
0.76%/l00 nm/deg). The trend of the
reddening versus inclination is visualized in
Fig. 3. However, the scatter in the spectral gradients
is very large, and deviating from the conclusion by
Trujillo & Brown there might be "contamination'' by a
perihelion dependence in the data (see next paragraph).
In the case of spectral gradients versus eccentricity,
no correlation with the spectral gradients seems
to exist for Cubewanos and
scattered disk objects. For Plutinos and Centaurs
correlations do not exist either with inclination
nor with eccentricity (correlation coefficient <0.05
in all cases).
![]() |
Figure 3:
Trend between spectral reddening and inclination
for Cubewanos and scattered disk objects.
The figure shows the measured spectral gradient of
Cubewanos and scattered disk objects versus the
inclination of their orbits. The solid line shows
the trend from a linear regression fit of the data
for Cubewanos, the broken line the one for scattered
disk objects. 1994 ES2 (spectral gradient ![]() |
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Spectral gradients versus perihelion distance: the diagrams in Fig. 4 plot the spectral gradient versus perihelion distance. The bubble diagrams visualize a third parameter via the size of the bubbles, i.e. the eccentricity (left panel) and the inclination (right panel) of the objects, respectively. The sub-panels show a very similar distribution of the objects, namely:
![]() |
Figure 4: Spectral gradient versus perihelion distance. The two bubble diagrams show the same distribution, using the size of the bubble as indicator for the eccentricity (left) and inclination (right) of the orbits. |
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The increase in the reddening range for decreasing perihelion distance is associated with many objects in orbits of higher excitation parameters and could potentially be explained by the scenario "radiation aging plus impact resurfacing''. However, this scenario must also satisfy the perihelion dependence of the reddening and the existence of the cluster of red Cubewanos described above. A detailed modeling is needed to draw firm conclusions on the relevance of this scenario.
Using the picture of intrinsic activity for the
explanation of the spectral gradient properties
described above, we conclude that this activity
should become important for resurfacing between
36-41 AU from the Sun. At this distance range the
Sun illumination is still intense enough to sublimate
CO and N2 ices of the surface (Delsemme 1982).
One of the difficulties in this scenario is to
explain the existence of red objects closer than
35 AU from the Sun. Since cometary activity,
if present, may be repetitive on much shorter
time scales than radiation aging, the existence of
red objects among Centaurs, Plutinos, Cubewanos and
scattered disk objects with perihelia inside
41 AU
could imply that these objects are covered by an
inactive surface crust. The trigger for intrinsic activity
could be collision cratering when fresh and more active
material is excavated and/or re-condensed to/on the
surface. However, apart from Pluto no direct evidence
for surface activity exists in TNOs and only indirect
conclusions are published (Hainaut et al. 2000; Sekiguchi et al. 2002).
During the first semester of our ESO Large Program on physical studies of TNOs and Centaurs we observe BVRI photometry of 28 objects of which 18 were measured for the first time. Our new observations confirm the results for the 10 objects for which color data are already published. Short-term (order of one hour) color changes are found for 1994 EV3. Cross-section and/or intrinsic color variations over rotation phase could explain the observations.
Combination of our photometry results with the compilation of published colors (Hainaut & Delsanti 2002) provides a new database of photometric spectral gradients of 95 objects. The bimodality character in the color-color distributions of the objects could not be verified. The gradient statistics of the Cubewanos is significantly different from those of the three other groups: a red population of Cubewanos (spectral gradients 30-40%/l00 nm) exists in rather circular orbits close to the Ecliptic with perihelion distances >41 AU. The reddening range of objects increases with decreasing perihelion distance and may also be correlated with the excitation parameter of their orbits. The weak correlations between spectral gradients and inclination for Cubewanos and scattered disk objects needs confirmation by observations of more objects.
The interpretation of the spectral gradient distributions and the relationship between physical and dynamical parameters of Cubewanos, Plutinos, Centaurs and scattered disk objects is unsolved. Radiation aging seems to cause the red population of Cubewanos beyond 41 AU from the Sun. However, the reason why some of the objects appear to be less red to even slightly bluish when closer to the Sun and/or in excited orbit is unclear and resurfacing by impacts or intrinsic activity are still viable scenarios. Certainly, modeling results addressing the reddening behavior of the various dynamical classes quantitatively for the different physical scenarios would be very instrumental in disentangling the physical and dynamical relationship of the icy bodies in the outer solar system.
Acknowledgements
We like to acknowledge the contributions of Dr. John Davies, Royal Observatory Edinburgh, and of Dr. Philippe Rousselot, Observatoire de Besancon, to our joint program. We thank very much the ESO Paranal Science Operations team (the night astronomers as well as the telescope and instrument operators having observed for our program, namely N. Ageorges, H. Alarcon, M.-T. Acevedo, V. Doublier, C. Herrera, N. Hurtado, E. Jehin, C. Lidman, A. Lopez, O. Marco, C. McKinstry, J. Navarrete, E. Pompei, R. Scarpa, A. Zarate) and the User Support Group ESO Garching for the excellent support and dedicated work devoted to the preparation and execution of this program for service mode observing at the VLT.