Issue |
A&A
Volume 518, July-August 2010
Herschel: the first science highlights
|
|
---|---|---|
Article Number | L148 | |
Number of page(s) | 5 | |
Section | Letters | |
DOI | https://doi.org/10.1051/0004-6361/201014701 | |
Published online | 16 July 2010 |
Herschel: the first science highlights
LETTER TO THE EDITOR
``TNOs are Cool'': A survey of the trans-Neptunian region
III. Thermophysical properties of 90482 Orcus and 136472 Makemake![[*]](/icons/foot_motif.png)
T. L. Lim1 - J. Stansberry2 - T. G. Müller3 - M. Mueller4 - E. Lellouch5 - C. Kiss6 - P. Santos-Sanz5 - E. Vilenius3 - S. Protopapa7 - R. Moreno5 - A. Delsanti5,8 - R. Duffard9 - S. Fornasier5,10 - O. Groussin8 - A. W. Harris11 - F. Henry5 - J. Horner12 - P. Lacerda13 - M. Mommert11 - J. L. Ortiz9 - M. Rengel7 - A. Thirouin9 - D. Trilling14 - A. Barucci5 - J. Crovisier5 - A. Doressoundiram5 - E. Dotto15 - P. J. Gutiérrez Buenestado9 - O. Hainaut16 - P. Hartogh7 - D. Hestroffer17 - M. Kidger18 - L. Lara9 - B. M. Swinyard1 - N. Thomas19
1 - Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, Didcot, Oxon UK, OX11 0QX, UK
2 - The University of Arizona, Tucson AZ 85721, USA
3 - Max-Planck-Institut für extraterrestrische Physik, Giessenbachstrasse, 85748 Garching, Germany
4 - Université de Nice Sophia Antipolis, CNRS, Observatoire de la
Côte d'Azur, Laboratoire Cassiopée B.P. 4229, 06304 Nice Cedex 4,
France
5 - Observatoire de Paris, Laboratoire d'Études Spatiales et
d'Instrumentation en Astrophysique (LESIA), 5 Place Jules Janssen,
92195 Meudon Cedex, France
6 - Konkoly Observatory of the Hungarian Academy of Sciences, 1525 Budapest, PO Box 67, Hungary
7 - Max-Planck-Institut für Sonnensystemforschung, Max-Planck-Straße 2, 37191 Katlenburg-Lindau, Germany
8 - Laboratoire d'Astrophysique de Marseille, CNRS & Université
de Provence, 38 Rue Frédéric Joliot-Curie, 13388 Marseille Cedex 13,
France
9 - Instituto de Astrofísica de Andalucía (CSIC) C/ Camino Bajo de Huétor, 50, 18008 Granada, Spain
10 - Observatoire de Paris, Laboratoire d'Études Spatiales et
d'Instrumentation en Astrophysique (LESIA), University of Paris 7
``Denis Diderot'', 4 Rue Elsa Morante, 75205 Paris Cedex, France
11 - Deutsches Zentrum für Luft- und Raumfahrt, Berlin-Adlershof, Rutherfordstraße 2, 12489 Berlin-Adlershof, Germany
12 - Department of Physics and Astronomy, Science Laboratories, University of Durham, South Road, Durham, DH1 3LE, UK
13 - Newton Fellow of the Royal Society, Astrophysics Research
Centre, Physics Building, Queen's University, Belfast, County Antrim,
BT7 1NN, UK
14 - Northern Arizona University, Department of Physics & Astronomy, PO Box 6010, Flagstaff, AZ 86011, USA
15 - INAF - Osservatorio Astronomico di Roma, via di Frascati, 33, 00040 Monte Porzio Catone, Italy
16 - ESO, Karl-Schwarzschild-Str. 2, 85748 Garching bei Müchen, Germany
17 - IMCCE/Observatoire de Paris, CNRS, 77 Av. Denfert-Rochereau, 75014 Paris, France
18 - Herschel Science Centre, European Space Astronomy
Centre (ESAC), Camino bajo del Castillo, s/n, Urbanizacion Villafranca
del Castillo, Villanueva de la Cañada, 28692 Madrid, Spain
19 - Universität Bern, Hochschulstrasse 4, 3012 Bern, Switzerland
Received 1 April 2010 / Accepted 12 May 2010
Abstract
Context. The goal of the Herschel open time programme ``TNOs are Cool!''
is to derive the physical and thermal properties for a large sample of
Centaurs, and trans-Neptunian objects (TNOs), including resonant,
classical, detached and scattered disk objects.
Aims. Based on observations of two targets we tried (i) to
optimise the SPIRE observing technique for faint (close to the
background confusion noise), slowly moving targets; (ii) to test
different thermal model techniques; (iii) to determine radiometric
diameter and albedo values; (iv) to compare with Spitzer results whenever possible.
Methods. We obtained SPIRE photometry on two targets and PACS photometry on one of the targets.
Results. We present results for the two targets, (90482) Orcus
and (136472) Makemake, observed with SPIRE and for one of those
targets, Makemake, observed with PACS. We adopt
pV = 0.27 and D = 850 km as
our best estimate of the albedo and diameter of Orcus using single
terrain models. With two-terrain models for Makemake, the bright
terrain is fitted by,
0.78 < pV < 0.90, and the dark terrain
0.02 < pV < 0.12, giving
1360 < D < 1480 km.
Conclusions. A single terrain model was derived for Orcus
through the SPIRE photometry combined with MIPS data. The Makemake data
from MIPS, PACS and SPIRE combined are not compatible with a single
terrain model, but can be modelled with a two-terrain fit. These
science demonstration observations have shown that the scanning
technique, which allows us to judge the influence of background
structures, has proved to be a good basis for this key programme.
Key words: techniques: photometric - Kuiper belt objects: individual: 90482 Orcus - Kuiper belt objects: individual: 136472 Makemake - infrared: general - submillimeter: general
1 Introduction
The objects (136472) Makemake (formerly 2005 FY9) and (90482) Orcus
(formerly 2004 DW) are among the largest trans-Neptunian objects
(TNOs). Orcus has a diameter near 1000 km (Stansberry et al. 2008),
and is one of the few binary TNOs in an orbit resonant with that of
Neptune. Near-IR spectroscopy indicates a surface composed of
significant amounts of water ice (e.g. Barucci et al. 2008),
as well as ammonia or an ammonia compound. A binary TNO
with a known size, Orcus is also known to have a density, 1.5
0.3 g/cm3, which is intermediate between those of the small TNOs (which are typically
1), and the largest objects such as Pluto and Eris, with densities
2).
Makemake is particularly interesting because of its exceptionally
strong absorption bands from methane ice on its surface (the bands are
much stronger than those seen on any other icy solar system object,
including Pluto) (e.g. Brown et al. 2007; Eluszkiewicz et al. 2007).
The most abundant volatile on Pluto and Triton is nitrogen; while the
intrinsically very weak absorption features of nitrogen have not been
observed on Makemake, its presence is suggested by the shift in
the wavelength of the methane ice bands (Tegler et al. 2008). Spitzer thermal data for Makemake (Stansberry et al. 2008)
were also intriguing, showing not only that it is exceptionally large
(with a diameter near 1500 km), but that the surface is probably
segregated into high- and low-albedo terrains.
Here we report our new Herschel (Pilbratt et al. 2010) SPIRE (Griffin et al. 2010) photometry of Orcus and Makemake, and Herschel PACS (Poglitsch et al. 2010) photometry of Makemake. We combine the results with those obtained from the earlier Spitzer data for these objects to form a more complete and accurate picture of their physical characteristics. Our Herschel TNO key programme (Müller et al. 2009) seeks to determine the properties of 139 TNOs mainly using the Herschel PACS instrument via photometry at 70, 100 and 160 m. For the 15 brightest objects the programme will also obtain SPIRE photometry at 250, 350 and 500
m. Orcus and Makemake were observed as part of the Herschel science demonstration phase sub-programme, which was aimed at validating the scientific useability and performance of the Herschel
instrument observing modes. This programme included observations
of 17 of our targets, PACS measurements of 7 of these targets
are discussed in Paper I (Müller et al. 2010) and the lightcurve of 136108 Haumea is discussed in Paper II (Lellouch et al. 2010).
Table 1: Herschel observing geometry for Orcus and Makemake.
Table 2: Summary of PACS and SPIRE observations and relevant instrument and satellite parameters.
2 Observations
For the purposes of planning this programme, model fluxes using typical values (geometric albedo (pv) = 0.08, beaming factor () = 1.25) were generated based on estimates inherited from Spitzer results (Stansberry et al. 2008). This led to predictions of SPIRE 250
m
fluxes of 16 and 35 mJy for 90482 Orcus and
136472 Makemake respectively for the 2009 November/December
time period.
When using Herschel observers must select an observing
mode from a small number of astronomical observation templates (AOTs).
For SPIRE the pre-flight prediction for extragalactic confusion limit
was expected to be in the region of 7 mJy rms for each band
(Griffin et al. 2008).
Because the predicted TNO fluxes were close to these values, the
chop/nod point source mode would not have produced accurate
measurements of the TNO fluxes, as both additional noise,
close to the TNO flux levels, would be added due to sources in the
reference beam, and there would be difficulty in separating the
contribution from the TNO and the background sources in the on-source
beam. The SPIRE small map AOT also used chopping and nodding, so we
used the SPIRE large map AOT instead, which scans the source with the
telescope. The large map AOT was used with minimum scan range settings,
which yielded full coverage for a 4
4
field
through two cross-linked sets of scans in orthogonal directions; each
set of scans consisted of 12 scans giving 24 scans in each
map for each of the two positions (Table 2). A second observation was made after the source had moved a distance between 108
and 120
,
which was constrained to be >3 SPIRE long wavelength array
(PLW) beam FWHM away from the position of the first observation, but
still within the map region.
The SPIRE data were processed with version 2.0 of the standard data processing (build 1457) (Griffin et al. 2008) to Herschel
level 1, calibrated scan timelines. Customised processing was then
applied, which adopted the following steps. Maps were generated with
the standard processing for each set of scans, this used the SPIRE
standard median baseline subtraction and naive mapmaker. The four maps
were then aligned to correct for differences in the telescope pointing
between each scan set. These differences typically were in the range
1-2
,
which is consistent with the telescope pointing error (Pilbratt et al. 2010).
The pointing correction was applied to the level 1 data, and
single maps at each source position combining the A and
B scans were then re-generated. One map was then subtracted from
the other to produce a difference map. The positive and negative source
in the difference map were extracted separately with the HIPE (Ott
et al. 2010) aperture
photometry tool. Noise estimates were made by subdividing the
observations into groups of scans, then measuring the variablity of the
source flux between these groups. These sigma values are reported in
Table 3.
No colour-correction was applied, although this would only affect
the fluxes at the 1-2% level. The absolute calibration accuracy of
the SPIRE photometer is currently estimated to be within 15%
(Swinyard et al. 2010). The PACS data were reduced as described in Paper I (Müller et al. 2010).
3 Thermal modelling
3.1 Orcus
We used the near-Earth asteroid thermal model (NEATM) (Harris 1998) to fit the measured MIPS and SPIRE fluxes (see Müller et al. 2010, for a fuller description). The NEATM assumes a spherical shape and the temperature distribution expected for low-thermal-inertia objects. The effects of surface roughness and thermal inertia are taken into account to first order by allowing the temperature to vary until the model continuum matches the spectral distribution of the measured data.
The NEATM temperature distribution is parameterised in terms of the
dimensionless ``beaming parameter''. The effects of conduction and
surface roughness can be approximated by varying ;
< 1 corresponds to low conductivity surfaces that are rough, while
> 1
corresponds to relatively high conductivity surfaces, which are
smoother. These effects can be modelled in detail with a more
complicated thermophysical model (see below), but if the goal of
the modelling is merely to determine the albedo (pV) and diameter (D) of an object, the NEATM gives excellent results (Harris et al. 1998).
Uncertainties in the NEATM fit parameters were determined from a
Monte-Carlo analysis. To this end, 300 sets of normally
distributed flux values were generated with a random-number generator;
for each wavelength, the mean of the random distribution
equals the measured value, and the standard distribution equals the
measured flux uncertainty. The NEATM was fitted to each of those
300 flux sets, then we determined the mean and standard
distribution of each fit parameter, taken to be the overall best-fit
value and its statistical uncertainty. The results are pV = 0.25 0.03, D(km) = 867
57,
= 0.97
0.07. This
value is slightly lower than he average
for TNOs (1.3
0.4, from data in Stansberry et al. 2008),
but it is consistent with the observed range. This suggests that
Orcus probably has a slightly lower thermal inertia and/or rougher
surface than ``typical'' KBOs, although this is not a very
significant difference.
Table 3: Source fluxes obtained from SPIRE and PACS photometry plus previously derived MIPS fluxes.
A thermophysical model (TPM, Lagerros 1996, 1997, 1998; Müller & Lagerros 1998)
was also used to obtain radiometric properties. The TPM we used for
Orcus assumes a spherical body, with the rotation period given in
Table 1, and the rotation axis perpendicular to the ecliptic. The ``free'' parameter is the thermal inertia,
,
where k is the conductivity,
is the mass density, and c is the heat capacity per unit mass of the surface materials. Surfaces with high values of
tend to change temperature slowly, while those with low values of
(which are assumed in the NEATM/STM) approach instantaneous equilibrium with the insolation striking them.
Based on the two Spitzer-MIPS bands and two Herschel-SPIRE bands we found the best match between all observation for a very low thermal inertia below 3 J m-2 s-0.5 K-1. The corresponding radiometric effective diameter is
= 829
+119-43 km and a geometric albedo of pV = 0.28
+0.04-0.06. The solution with the full albedo and diameter range is shown in Fig. 1.
Taking both the NEATM and TPM results into account, we adopt
pV = 0.27+0.07-0.05 and D = 850
90 km as our best estimate of the albedo and diameter of Orcus.
The quoted uncertainties span the range of results from these two quite
different modelling approaches, and are consistent with the accuracy we
expect based on previous experience for radiometric results, namely
that D can be determined to no better than 10%, and pV
to no better than 20%. These uncertainties also bound those
introduced by uncertainties in Orcus' absolute magnitude and lightcurve
variations, although the influence of the lightcurve variation is
minor, because
of 0.04+/-0.01 indicates that Orcus' shape is very close to a sphere and even a variation of 0.1 mag in HV
would lead to a diameter change of only 4-5% (and a change in geometric
albedo of 8-10%). These values are also consistent with the D(km) = 940
70 and pV = 0.28
0.04 found by Brown et al. (2010) using the Spitzer data only.
![]() |
Figure 1:
TPM model of Orcus, the adopted radiometric effective diameter is
|
Open with DEXTER |
3.2 Makemake
As noted by Stansberry et al. (2008),
Makemake is too bright at 24 microns to allow any simple thermal
model to fit the spectral energy distribution (SED). This is still the
case with our new Herschel data. As an example, we show a TPM fit to the Herschel and Spitzer data from 70-500 m in Fig. 2. For a range of assumptions about the spin vector, TPM models with fit to these wavelengths give
1350 < D < 1510 km, and albedos
0.7 < pV < 0.9. The model vastly under-predicts the 24 micron flux, which made us explore enhanced models.
A slightly more complex model, consisting of high-albedo and low-albedo terrains, is capable of fitting the entire SED. The surface of Makemake has large amounts of methane ice, which is volatile even at temperatures found at 52 AU from the Sun. Taking Pluto and Triton as guidance, it should be expected that the methane ice will form extensive high-albedo terrains. Additionally, the methane will sublime in areas of high-insolation, forming new deposits in darker areas. This volatile transport should expose underlying non-volatile materials (such as water ice and organics derived by photolysis from the methane). The presence of organics should cause the substrate albedo to be quite low, perhaps as dark as cometary nuclei.
![]() |
Figure 2:
Example of a two-terrain fit for the Herschel and Spitzer data for Makemake. The symbols are the measurements with error bars; the grey long-dash line is a TPM fit to the Herschel and Spitzer data from 70-500 |
Open with DEXTER |
Figure 2 shows an example of a two-terrain model fit to all the data. The two-terrain fit not only passes through the 24 micron Spitzer
point, but also provides an improved fit at the PACS and SPIRE
wavelengths. The family of two-terrain models that produce reasonable
fits provide the following constraints. 1) For the bright terrain,
0.78 < pV < 0.90, and the effective radius is
km. 2) For the dark terrain
0.02 < pV < 0.12, and its extent is given by
km. Here
is the radius of an object with the equivalent projected area as the
terrain in question. Cast in another way, the dark terrain is
found to cover 3-7% of the surface. The range of diameters for Makemake
corresponding to these radii is
1360 < D < 1480 km, consistent with the values given above based on the TPM fit to just the long-wavelength data.
The two-terrain models used a beaming parameter for the bright terrain of
.
The value of 1.3 is the average for TNOs, and if we assume
the models produce geometric albedos for Makemake
.
While these high albedos are not unphysical (up to values
of 1.4), we know of no other planetary surface that reflective.
For these two reasons we only considered values for
.
An
value
as high as 2.2 is near the upper limit expected based on comparing
thermophysical models, and mimics a surface with very high thermal
inertia, which makes it a reasonable upper bound for our modeling.
Volatile transport (and the accompanying transport of latent heat) can
result in high values for thermal conductivity (if the tranport
occurs between layers in the surface), increasing the apparent thermal
inertia. Transport can also occur laterally. In cases where a thick
enough atmosphere is present (e.g. Triton and Pluto) the transport
of latent heat is comparable to insolation and re-radiation terms,
resulting in a nearly isothermal surface (where the volatile ices
exist). Methane has too low a vapor pressure for this to occur on
Makemake, but there is indirect evidence (Tegler et al. 2008) in
the near-IR spectrum for the presence of nitrogen. With its higher
vapor pressure, nitrogen could greatly affect the temperature
distribution of the high-albedo terrain.
The beaming parameter for the dark terrain is required to be quite low, in the range 0.4-0.5. These low values may require some enhancement to the normal mechanisms thought to result in ``beaming''. One possibility is that sunlight, scattered through and/or off nearby raised, high-albedo regions results in enhanced heating of the dark terrains. To be effective, this mechanism would require the dark regions to be comparable in size to the depth of the methane ice surrounding them. The low-amplitude visible lightcurve is not violated in this paradigm, because the dark spots would be small and probably rather evenly distributed. If the dark terrain intrinsically has such an extremebeaming parameter, it could also be distributed as a band at a constant latitude, or as a polar spot, while still being consistent with the visible lightcurve. Another possibility is that the dark terrain is actually an as-yet undiscovered satellite of Makemake. The components of most TNO binaries have very similar colours (and probably albedos), so this is not likely for a small satellite orbiting a methane-rich object such as Makemake.
4 Conclusions
The addition of Herschel photometry to the Spitzer photometry has extended the thermal SED to 350 m
and gave improved constraints for modelling. For Orcus the additional
SPIRE data allowed a single well constrained model to be fitted, which
shows good consistency between the Spitzer data and the Herschel data. Difficulties in fitting Makemake with a single-terrain model (suspected based on the Spitzer
data alone) are not diminished by the new PACS and SPIRE data and a
two-terrain thermal model, consisting of a limited, low-albedo terrain
and an extensive, high-albedo terrain, appears to be required in order
to fit the full emission spectrum. The detections were close to the
instrumental limit and the measured errors are consistent with the
expected instrumental noise (1.8, 1.5 and 2.2 mJy at 250, 350 and
500
m, Griffin et al. 2010),
demonstrating that SPIRE performs consistently well down to the very
weakest sources it will detect. Therefore these observations have
demonstrated SPIRE instrument capability and have shown that this
observing strategy is the correct choice for the TNO key
programme.
Part of this work was supported by the German Deutsche Forschungsgemeinschaft, DFG project number Ts 17/2-1. M.R. and S.P. acknowledges support from the German Deutsches Zentrum für Luft-und Raumfahrt, DLR project number 50OFO 0903. HIPE is a joint development by the Herschel Science Ground Segment Consortium, consisting of ESA, the NASA Herschel Science Centre, and the HIFI, PACS and SPIRE consortia.
References
- Barucci, M. 2008, A&A, 479, L13 Brown, M. E., et al. 2007, AJ, 133, 284 [NASA ADS] [CrossRef] [Google Scholar]
- Brown, M. E., et al. 2010, AJ, 139, 2700 [CrossRef] [Google Scholar]
- Eluszkiewicz, J. 2007, JGRE, 11206003E [Google Scholar]
- Griffin, M., et al. 2008, Proc SPIE, 7010, 70106T [Google Scholar]
- Griffin, M., et al. 2008, Proc. SPIE, 7010, 70102Q [CrossRef] [Google Scholar]
- Griffin, M. J., et al. 2010, A&A, 518, L3 [Google Scholar]
- Harris, A. W. 1998, Icarus, 131, 291 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Heinze, A. N., & de Lahunta, D. 2009, AJ, 138, 428 [NASA ADS] [CrossRef] [Google Scholar]
- Lagerros, J. S. V. 1996, A&A, 310, 1011 [NASA ADS] [Google Scholar]
- Lagerros, J. S. V. 1997, A&A, 325, 1226 [NASA ADS] [Google Scholar]
- Lagerros, J. S. V. 1998, A&A, 332, 1123 [NASA ADS] [Google Scholar]
- Lellouch, E., et al. 2010, A&A, 518, L147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pilbratt, G. L., et al. 2010, A&A, 518, L1 [CrossRef] [EDP Sciences] [Google Scholar]
- Poglitsch, A., et al. 2010, A&A, 518, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Müller, T. G., & Lagerros, J. S. V. 1998, A&A, 338, 340 [NASA ADS] [Google Scholar]
- Müller, T. G., Lellouch, E., Böhnhardt, H., et al. 2009, Earth, Moon, and Planets, 105, 209 [Google Scholar]
- Müller, T. G., et al. 2010, A&A, 518, L146 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ott, S. 2010, in Astronomical Data Analysis Software and Systems XIX, ed. Y. Mizumoto, K.-I. Morita, & M. Ohishi, ASP Conf. Ser., in press [Google Scholar]
- Ortiz, J. L., Gutiérrez, P. J., Santos-Sanz, P., Casanova, V., & Sota, A. 2006, A&A, 447, 1131 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Stansberry, J., et al. 2008, Physical Properties of Kuiper Belt and Centaur Objects: Constraints from the Spitzer Space Telescope, The Solar System Beyond Neptune, ed. M. A. Barucci, H. Böhnhardt, D. P. Cruikshank, & A. Morbidelli (Tucson: University of Arizona Press), 592 [Google Scholar]
- Swinyard, B. M., et al. 2010, A&A, 518, L4 [Google Scholar]
- Tegler, S. C. 2008, Icarus, 195, 844 [NASA ADS] [CrossRef] [Google Scholar]
- Thirouin, A., et al. 2010, A&A, in press [Google Scholar]
Footnotes
- ... 136472 Makemake
- Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA.
All Tables
Table 1: Herschel observing geometry for Orcus and Makemake.
Table 2: Summary of PACS and SPIRE observations and relevant instrument and satellite parameters.
Table 3: Source fluxes obtained from SPIRE and PACS photometry plus previously derived MIPS fluxes.
All Figures
![]() |
Figure 1:
TPM model of Orcus, the adopted radiometric effective diameter is
|
Open with DEXTER | |
In the text |
![]() |
Figure 2:
Example of a two-terrain fit for the Herschel and Spitzer data for Makemake. The symbols are the measurements with error bars; the grey long-dash line is a TPM fit to the Herschel and Spitzer data from 70-500 |
Open with DEXTER | |
In the text |
Copyright ESO 2010
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