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Mid-IR Observations of IRAS, AKARI, WISE/NEOWISE, and Subaru for Large Icy Asteroid (704) Interamnia: A New Perspective of Regolith Properties and Water Ice Fraction

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Published 2023 February 27 © 2023. The Author(s). Published by the American Astronomical Society.
, , Citation Jiang Haoxuan et al 2023 ApJ 944 202 DOI 10.3847/1538-4357/acaeaa

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Abstract

(704) Interamnia is one of the largest asteroids located in the outer main-belt region, which may contain a large amount of water ice underneath its surface. We observe this asteroid using 8.2 m Subaru telescope at mid-infrared wave bands and utilize a thermophysical model for realistic surface layers to analyze mid-infrared data from Subaru along with those of IRAS, AKARI, and Wide-field Infrared Survey Explorer (WISE)/NEOWISE. We optimize the method to convert the WISE magnitude to thermal infrared flux with temperature-dependent color corrections, which can provide significant references for main-belt asteroids at a large heliocentric distance with low surface temperature. We derive best-fitting thermal parameters of Interamnia—a mean regolith grain size of ${190}_{-180}^{+460}$ μm, with a roughness of ${0.30}_{-0.17}^{+0.35}$ and rms slope of ${27}_{-9}^{+13}$ deg, thereby producing thermal inertia ranging from 9 to 92 Jm−2 s−1/2 K−1 due to seasonal temperature variation. The geometric albedo and effective diameter are evaluated to be ${0.0472}_{-0.0031}^{+0.0033}$ and ${339}_{-11}^{+12}\,\mathrm{km}$, respectively, being indicative of a bulk density of 1.86 ± 0.63 g cm−3. The low thermal inertia is consistent with typical B/C-type asteroids with D ≥ 100 km. The tiny regolith grain size suggests the presence of a fine regolith on the surface of Interamnia. Moreover, the seasonal and diurnal temperature distribution indicates that thermal features between the southern and northern hemispheres appear to be very different. Finally, we present an estimation of volume fraction of water ice of 9%–66% from the published grain density and porosity of carbonaceous chondrites.

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1. Introduction

Asteroid (704) Interamnia is probably the fifth-largest asteroid with a diameter more than 300 km, which is smaller than (1) Ceres (939 km), (4) Vesta (525 km), (2) Pallas (512 km) and (10) Hygiea (434 km). In the Tholen taxonomy, Interamnia is classified as an F-type asteroid (Tholen 1989), whereas it is a B-type asteroid in the Bus taxonomy (Bus & Binzel 2002). Interamnia has an orbital semimajor axis of 3.056 au, an eccentricity of 0.155, and an inclination of 17fdg311 and orbits the Sun once every 5.35 yr. Drummond et al. (2009) obtained its diameter of 343 ± 5 km by using the adaptive optics system on the 10 m Keck II telescope in the near-infrared wave bands. Recently, Hanuš et al. (2020) determined the shape and spin state of Interamnia by combining 60 VLT/SPHERE images, four stellar occultations, and 189 optical light curves and reported an effective diameter of 332 ± 6 km with a bulk density of 1.98 ± 0.68 g cm−3, indicating that Interamnia may hold a large amount of water ice. Their results of the diameter are very different from those of Usui et al. (2011; 316 km), Alí-Lagoa et al. (2013; 361 km), and Mainzer et al. (2016; 306 km), which were obtained from the AKARI and Wide-field Infrared Survey Explorer (WISE)/NEOWISE observations. (704) Interamnia does not belong to any dynamical asteroid family, implying that the object may not have suffered from a catastrophic impact event, and this is conducive to the preservation of water ice inside this object. Besides, its spectroscopic observations near 3 μm have revealed the presence of hydrated materials on the surface (Usui et al. 2019). The bulk density of Interamnia (1.98 ± 0.68 g cm−3) given by Hanuš et al. (2020) is close to that of two largest C-type asteroids (1) Ceres (Park et al. 2019) and (10) Hygiea (Vernazza et al. 2020), both of which contain a significant amount of water underneath the subsurface. Moreover, the overall spectral similarity to Ceres's suggests that Interamnia may be an icy body.

However, currently there is no strong observational evidence to suggest that Interamnia is active enough to produce gas or dust tails, indicating that there is a thick dust mantle on the surface of Interamnia to prevent the buried ice from sublimating strongly. Nevertheless, weak gas activity can still happen by the sublimation of buried ice or a few exposed ice patches. Busarev et al. (2015, 2018a) claimed subtle coma activity near perihelion of Interamnia from absorption bands centered at 0.38, 0.44, and 0.67–0.71 μm that are registered in the reflectance spectra. Thus, the following questions arise: how much water ice would Interamnia contain, and what are the governing factors that affect the possible existence of water ice sublimation activity? In fact, accurate prediction of activity of the asteroid requires precise measurements of physical properties and temperature variation of the on-top covered dust mantle. Hence, a proper radiometric method and mid-IR observations at multiple phase angles are needed. Note that the orbital inclination and ecliptic latitude of pole orientation of Interamnia are relatively high, which can create various circumstances of diurnal and seasonal temperature distribution. Thus, we here adopt the thermophysical model for realistic surface layers (RSTPM; Yu & Ip 2021) to consider the temperature-varied thermal parameters. Moreover, mid-infrared observations from IRAS, AKARI, 6 WISE/NEOWISE 7 and NEOWISE Team (2020), and Subaru are adopted to explore the feature of Interamnia. It should be emphasized that WISE/NEOWISE has carried out the all-sky survey since 2010, which had scanned a wide range of observational phase angles, accounting for the largest portion of the adopted mid-IR data. Therefore, WISE data should be processed more precisely, especially for W1 and W2 bands, because their color corrections that are used to convert magnitude to flux (Wright et al. 2010) are very sensitive to temperature. Here we propose the temperature-varied color corrections to obtain more reliable WISE/NEOWISE fluxes. Combining RSTPM and multitelescope mid-infrared data, we can further derive the regolith properties of Interamnia, e.g., regolith grain size, thermal inertia, conductivity, etc., which play an essential role in the water ice sublimation. Based on the temperature distribution of the asteroid, we can evaluate the theoretical sublimation rate over an entire orbital period. However, as aforementioned, there is no obvious observation (such as dust/gas/ion tail or coma) to unveil the existence of cometary activity. Thus, such an estimation may simply be applied to predict the position of the asteroid when the sublimation rate peaks, thereby improving the efficiency of observing the asteroid's activity in the future. Finally, the temperature distribution on various regions of Interamnia may also help in understanding the diversity of physical characteristics.

This paper is structured as follows. In Section 2, we briefly introduce the thermal infrared data used for investigation and the optimized method to convert WISE magnitude into thermal flux. In Section 3, we present the radiometric results of Interamnia, as well as the temperature distribution and estimation of water ice volume fraction. Section 4 provides the best fitting of thermal light curves. Section 5 summarizes the major conclusion and predicts the procedure of water ice sublimation.

2. Mid-infrared Observations

2.1. Observations from Subaru, IRAS, AKARI, and WISE/NEOWISE

In this study, we conducted observations on Interamnia with the 8.2 m Subaru telescope at Maunakea on 2014 January 18 at 11:00 UTC, at a solar phase angle of 8fdg399 and central wavelengths of 7.8, 8.7, 9.8, 10.3, 11.6, 12.5, 18.7, and 24.5 μm, using the Cooled MIR Camera and Spectrometer (COMICS; Kataza et al. 2000). In addition, we further collected the mid-IR data of this asteroid from IRAS, AKARI, and WISE, which are acquired from the NASA/IPAC Infrared Science Archive (IRSA) 8 with a search cone radius of 1''. IRAS observations contain four wave bands centered at 12, 25, 60, and 100 μm, with solar phase angle ranging from −17° to −15°. The AKARI observations were obtained from the AKARI Asteroid Flux Catalog. 9 AKARI observed this asteroid at 9.0 and 18.0 μm in two separate epochs, with a solar phase angle of 21°–22°. WISE surveyed the sky at four wave bands, i.e., W1 (3.4 μm), W2 (4.6 μm), W3 (12.0 μm), and W4 (22.0 μm). The mission continued to survey the sky known as NEOWISE after the depletion of the cryogen. Thus, we query the WISE/NEOWISE mid-IR data from two catalogs, the WISE All-Sky Single Exposure (L1b) Source Table and the NEOWISE-R Single Exposure (L1b) Source Table, 10 by using the Moving Object Search. For Interamnia, the WISE/NEOWISE measurements account for the largest proportion of all mid-infrared observations and are given the largest weight in the procedure of fitting thermophysical parameters.

Note that, according to the Explanatory Supplement to the WISE data products, 11 WISE observations of large asteroids, such as Interamnia, tend to be saturated in W3 and W4, whose magnitudes of W3 and W4 bands range from −0.076 to 0.328 and from −2.022 to −1.670, respectively. The characteristic magnitudes at which sources begin to saturate are 8.0, 6.7, 3.8, and −0.4 mag for W1–W4, respectively. WISE can extract useful measurements of saturated sources through fitting of the point-spread function (PSF) wings, until too few nonsaturated pixels are available in the measurement area. A linear correction was applied to the saturated W3 and W4 data, and we have set the error bars to 0.2 mag right at these limits in order to account for the changes in the PSF (Mainzer et al. 2011a). Moreover, as described in Wright et al. (2010), a correction to the red and blue calibrator discrepancy in W3 and W4 filters is required, which yields a −8% and +4% adjustment to the zero magnitudes for the two bands. To resolve the flux differences, we adjust the effective wavelength of W3 3%–5% blueward and that of W4 2%–3% redward.

Wright et al. (2010) presented the method to convert the WISE magnitude to thermal fluxes in units of Jy. Here we have optimized the method as follows.

2.2. Converting the WISE Magnitude to Flux

For an asteroid, the flux density conversion is given by

Equation (1)

where ${F}_{\nu 0}^{* }$ is the zero magnitude flux density derived for sources with power-law spectra Fν ν−2, which is 306.682, 170.663, 31.368, and 7.953 Jy (Wright et al. 2010) for W1, W2, W3, and W4 bands, respectively. We emphasize that the changes in ${F}_{\nu 0}^{* }$ at W3 and W4 are due to the adjustment of the central wavelengths of two bands to λ(W3) = 11.0984 μm and λ(W4) = 22.6405 μm to correct the discrepancy of red and blue sources (Wright et al. 2010). Here f c is the color correction.

It should be noted that f c is temperature dependent, and Wright et al. (2010) provided f c values for a variety of temperatures for blackbody spectra Bν (T), e.g., 100, 141, 200, and 283 K. In that work, near-Earth asteroids are usually in association with Bν (283 K), where the f c values for W1–W4 are 1.3917, 1.1124, 0.8791, and 0.9865, respectively. However, the main-belt asteroids have Bν (200 K) with f c values for the four wave bands of 2.0577, 1.3448, 1.0005, and 0.9833, respectively. This approximation can be achieved when only W3 and W4 data are used. But the f c values of W1 and W2 bands are very sensitive to temperature. We fit the f c values provided by Wright et al. (2010) with respect to the four WISE wave bands to four curves that vary with temperature in Figure 1. As can be seen, when T < 200 K, f c at W1 and W2 decreases rapidly. If we adopt the W1 and W2 data in our radiometric process, f c values under separate temperatures could have significant influence on the results. For example, supposing that the effective temperature of an asteroid at a certain epoch is 170 K, according to the fitted curve f c (W1) = 2.7069 can be obtained. However, from Wright et al. (2010) we can obtain f c (W1, 141 K) = 4.0882 and f c (W1, 200 K) = 2.0577; in such a case, using f c at 141 K or 200 K will cause a 30%–50% deviation in the observational flux. Thus, it is necessary to evaluate the effective temperature of the target asteroid at the observed epochs to derive more reliable color correction values. The flux density for an asteroid at heliocentric distance d can be expressed as

Equation (2)

where L is the luminosity of the Sun, which is given by the Stefan–Boltzmann law ${L}_{\odot }=4\pi {R}_{\odot }^{2}\sigma {T}_{\odot }^{4}$, where R is the radius of the Sun, σ is the Stefan–Boltzmann constant, and T is the temperature of the Sun. Considering an asteroid of radius R a , the radiant flux absorbed by the asteroid is

Equation (3)

while the emitted flux from the asteroid is

Equation (4)

For an asteroid in the thermodynamical equilibrium state, the rate at which it radiates energy is equal to the rate at which it absorbs energy; thus, we have Φa = P a . Combining Equations (2)–(4), the effective temperature can be deduced as

Equation (5)

We denote the effective temperature of Interamnia at the epochs for WISE with asterisks in Figure 1. The derived Teff at the observations ranges from 151 to 177 K. As observed, the flux corrections at W1 and W2 bands change significantly at the observed epochs for Intermania. Hence, it is very necessary to deal with temperature-varied color corrections.

Figure 1.

Figure 1. The fitted curve of color corrections (temperature dependent) for WISE. The asterisks denote Interamnia's effective temperature at observation epochs.

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2.3. Evaluation of Reflected Sunlight

Clearly, the observed fluxes contain thermal radiation from the asteroid and solar reflection. The reflected sunlight should be corrected for the IR observations at short wavelength, along with those when the asteroids are far away from the Sun. Here we adopted the method described in Yu & Ip (2021) to evaluate the proportion of the reflected sunlight in each wave band, which combines the Lambert–Lommel–Seeliger law that introduces a coefficient CL to Lambertian reflection (Yu & Ip 2021). The ratios of reflected part and observation for each wave band are shown in the top panel of Figure 2. It is clear that the reflected part is negligible at WISE W3 and W4 bands, AKARI, Subaru, and IRAS. In Table 1, we list Freflect/Fobs and Teff for W1 and W2 at each epoch. By contrast, the portion of reflected sunlight can occupy nearly 85%–99% of the total observed flux for W1, whereas it can occupy 7%–30% for W2. In addition, since f c is temperature dependent, the observed flux relates to temperature. Figure 2 displays the relation of Freflect/Fobs versus the effective temperature Teff at W1 and W2, which is suggestive of a linear decreasing trend.

Figure 2.

Figure 2. Top: the ratio of reflected sunlight with the observed fluxes for each wave band. The symbols in color represent the data from IRAS, AKARI, WISE/NEOWISE, and Subaru. Bottom: the variation of the proportion of reflected sunlight with temperature at observed epochs.

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Table 1. Effective Temperature Teff and Freflect/Fobs at W1 and W2 for Each Epoch

Epoch Teff (K)W1 (%)W2 (%)
2010-2-05 to 2010-2-09152.28714
2010-7-27 to 2010-7-28154.79512
2014-4-30 to 2010-5-01155.29615
2015-1-19 to 2015-1-20151.79817
2015-6-30 to 2015-7-01152.29417
2016-3-19 to 2016-3-21157.68410
2016-8-28 to 2016-8-29163.5819
2017-6-28 to 2017-6-30175.5714
2017-12-08 to 2017-12-09176.9663
2018-10-21 to 2018-10-21166.3827

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Table A1 in the Appendix summarizes the observational fluxes and the observational geometries (the heliocentric distance rhelio, the distance from the observer Δobs, and the solar phase angle α). The Subaru telescope provides the observations at small solar phase angles of 8fdg399. WISE/NEOWISE values are the bandwidth flux (i.e., without color correction).

3. Radiometric Results

3.1. Fitting Procedure

WISE bands span bandwidths on the order of 2–10 μm, while the observed flux calculated from Equation (1) is the monochromatic flux at a single wavelength, which is color corrected by using temperature-varied f c as mentioned above. However, the usage of f c can only be suitable for the thermal emission part, while the light that is being reflected from the Sun will have a solar-like spectrum; thus color corrections of blackbody and G2V stars are required to be taken into account in combination, especially for W1 and W2 data, which contain nonnegligible solar reflection. As a matter of fact, the ratio of the reflected sunlight to the observed fluxes is not yet entirely clear. Therefore, we then employ the bandwidth flux rather than monochromatic flux to perform fitting of observations. In the fitting, we first convert the WISE magnitude into thermal emission without using the color corrections to determine the bandwidth flux measured by the observer, i.e., ${F}_{\nu ,\mathrm{obs}}={F}_{\nu 0}^{* }\times {10}^{-{m}_{\mathrm{vega}}/2.5}(\mathrm{Jy})$. Then, the total theoretical flux is expressed as follows:

Equation (6)

where Fth denotes the theoretical single-wavelength thermal emission multiplied by blackbody color correction f c ,blackbody (temperature varied), whereas Freflect is the theoretical reflected sunlight that is multiplied by G2V color correction f c ,G2V. Hence, Ftotal is adopted to conduct fitting of total observed flux Fν,obs.

3.2. Results of Grain Size, Roughness, Albedo, and Diameter

Thermal inertia is a key parameter that dominates the surface heat conduction process of the asteroidal surface, which controls the cyclic temperature variation as the asteroid rotates (Delbo et al. 2015). In the classical Thermophysical Model (TPM; Lagerros 1996) or the Advanced Thermophysical Model (ATPM; Rozitis & Green 2011), thermal inertia is treated as a free parameter in the fitting process. However, according to the definition of thermal inertia, ${\rm{\Gamma }}=\sqrt{\rho C(T)\kappa (T)}$, where κ and C are thermal conductivity and specific heat capacity, respectively, both of which strongly correlate to surface temperature. If an asteroid has a large orbital eccentricity or a high obliquity close to 90°, it would show significant variations in temperature at the orbital distances, which could lead to various thermal inertias at each epoch. Consequently, a mean thermal inertia may not well describe thermal characteristics of an asteroid, relating to its surface environment. For an asteroid that is covered by a dust mantle, the thermal conductivity relates to grain size r by

Equation (7)

where ϕ is the volume filling factor, which is set to be 0.5 in this work, and κsolid is the heat conductivity of solid material, which equals 1.19 + 2.1 × 10−3 × T Wm−1 K−1. Λ(r, ϕ) is the mean free path of photons and can be expressed by $1.3\tfrac{(1-\phi )}{\phi }r$. H(r, T, ϕ) is the Hertz factor, which can be expressed as

Equation (8)

where the first term of Equation (8) describes heat transfer reduction due to van der Waals force, and here μ, E, and γ(T) are Poisson's ratio, Young's modulus, and the specific surface energy of the material, respectively. f1 = (5.18 ± 3.45) × 10−2 and f2 = 5.26 ± 0.94 are empirical constants. The last factor χ describes the reduction of the heat conductivity that is induced by the distinction between monodisperse spherical particles (model assumption) and irregular polydisperse grains of a real regolith. Hence, we adopted RSTPM in which the mean dust grain size rather than the mean thermal inertia is used as a free parameter to derive the asteroid's thermal parameters because it would be nearly unchanged at each orbital position.

In our fitting process, we adopt the shape model obtained from Hanuš et al. (2020), with a pole orientation of (87°, 63°) in an ecliptic coordinate system. Like other thermophysical models, we obtain the temperature distribution of each facet by solving the 1D heat conduction equation and calculate the theoretical flux by using the Planck function to fit with observations. We scan mean grain radius $\widetilde{r}$ ranging from 1 to 1000 μm and roughness fraction f r ranging from 0 to 1. For each pair of $\widetilde{r}$ and f r , a corresponding geometric albedo p v and effective diameter Deff are utilized to compute a reduced χ2. In addition, we use a fractional coverage of a macroscopic bowl-shaped crater with a depth-to-diameter ratio of 0.5 to describe the surface roughness.

Figure 3 shows the best-fitting outcomes of mean dust grain radius, geometric albedo, and effective diameter (with optimized color corrections). From Figure 3(a), the minimum value of χ2 (0.348) is related to $\widetilde{r}={190}_{-180}^{+460}$ μm and ${f}_{r}={0.30}_{-0.17}^{+0.35}$ in 3σ error uncertainties. The rms slope can then be evaluated to be ${27}_{-9}^{+13}$ deg (Spencer 1990). The geometric albedo of Interamnia is constrained to be ${p}_{{\rm{v}}}={0.0472}_{-0.0031}^{+0.0033}$ (Figure 3(b)), which agrees with the typical values of C-type or B-type asteroids, and the effective diameter is calculated to be ${D}_{\mathrm{eff}}={339}_{-11}^{+12}$ km with an absolute magnitude of 6.28 from the Minor Planet Center (MPC; Figure 3(c)). The derived diameter Deff is consistent with the disk-resolved diameter of 332 ± 6 km from VLT-SPHERE observations (Hanuš et al. 2020) and that of 343 ± 5 km (Drummond et al. 2009) from the 10 m Keck telescope, but it is larger than DWISE and DAKARI, which are 312 and 316 km, respectively (Mainzer et al. 2011b; Usui et al. 2011). We also presented a scattering weight factor wL of 0.40, which represents the Lambertian term in the scattering law. Our derived thermal parameters are listed in Table 2. To compare with those of temperature-varied color corrections for WISE/NEOWISE, we further present the corresponding results at 141 and 200 K for constant color corrections in Table 2. Note that a smaller reduced χ2 is given by using optimized color corrections.

Figure 3.

Figure 3. The best-fit thermal inertia, geometric albedo, and diameter of (704) Interamnia. Each curve with different colors represents the various roughness fractions; the dashed−dotted horizontal lines are drawn to determine the 3σ uncertainties for each thermal parameter.

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Table 2. Radiometric Results of (704) Interamnia

f c Grain Size (μm) Deff (km) p v f r θRMS (deg) wf ${\chi }_{\min }^{2}$
Temperature-varied ${190}_{-180}^{+460}$ ${339}_{-11}^{+12}$ ${0.0472}_{-0.0031}^{+0.0033}$ ${0.30}_{-0.17}^{+0.35}$ ${27}_{-9}^{+13}$ 0.400.348
Bν (141 K) ${160}_{-145}^{+370}$ ${350.2}_{-8.4}^{+7.8}$ ${0.0443}_{-0.0019}^{+0.0022}$ ${0.30}_{-0.15}^{+0.31}$ ${27}_{-8}^{+12}$ 0.200.848
Bν (200 K) ${160}_{-133}^{+150}$ ${337.8}_{-1.4}^{+7.3}$ ${0.0476}_{-0.0020}^{+0.0004}$ ${1.00}_{-0.16}^{+0.00}$ ${50}_{-4}^{+0}$ 0.501.595

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To ensure the reliability of our results, we show the ratio of observed flux and theoretical flux in Figure 4. The left panel shows the ratio of each wavelength and has no obvious characteristics with λ, which indicates that the emissivity and albedo of Interamnia are not significantly dependent on wavelengths. Although theoretical flux at 3.4 μm (W1 band) appears to underestimate the observed value, in general, the ratios of various λ are uniformly distributed about 1. The right panel of Figure 4 shows that Fobs/Fmodel is plotted against solar phase angle. The ratio seems independent of the phase angle, indicating that the thermal infrared beaming effect is well resolved by the RSTPM model. Thus, the derived thermal parameters are reliable in the fitting procedure.

Figure 4.

Figure 4. Left panel: Fobs/Fmodel vs. wavelength, which the mean ratios at W1 and W2 are 0.96 and 0.95, respectively. Right panel: Fobs/Fmodel vs. solar phase angle.

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3.3. Seasonal Temperature and Thermal Inertia Variation

Interamnia bears quite small regolith grain size, which is indicative of a fine and mature regolith layer. In such a case, the efficiency of heat conduction between different grains is significantly lower than that in a monolith, causing the fine regolith to be a poor heat conductor and have low thermal inertia (Delbo et al. 2015). As mentioned above, Γ strongly depends on temperature. With the derived mean regolith grain size and the temperature distribution calculated by RSTPM, the seasonal variation of Γ can be evaluated.

In order to obtain the seasonal temperature variation of various local latitudes of the asteroid, we generated the position vector of Interamnia in the heliocentric ecliptic coordinate system from JPL Horizons, 12 with time specification from 2020 January 1 to 2025 May 6, to cover a whole orbital period. The global temperature distributions at these orbital positions are computed by solving the 1D heat conduction equation. As shown in the left panel of Figure 5, the x-axis represents the mean anomaly, where zero means the perihelion, while the y-axis stands for local latitude, where zero means the equator. The temperature changes periodically as the asteroid orbits the Sun and varies from 67 K (at aphelion) to 242 K (at perihelion) for the subsolar point. The temperature differs a lot between the northern and southern hemispheres. The subsolar point is located at the north region when the mean anomaly reaches about 240° and moves toward the south pole when the asteroid is near the perihelion. Additionally, considering the argument of perihelion 94fdg80, the pole orientation (87°, 63°) ± 5°, and the orbital inclination ∼17°, when Interamnia is near perihelion, the Sun will radiate directly on a local latitude of −40° to −50°. The sunlight illuminates on the southern hemisphere steadily, causing polar daylight within a large fraction of the southern hemisphere. Therefore, heat can penetrate deeper than other regions, resulting in higher temperature (with a subsolar temperature of 242 K). Similarly, while the asteroid moves after the aphelion, the sunlight illuminates on the northern hemisphere steadily, but the temperature is lower than at perihelion owing to larger heliocentric distances (as shown in the left panel of Figure 5).

Figure 5.

Figure 5. Left panel: seasonal temperature variation of Interamnia, where the highest temperature ∼242 K occurs after the perihelion, with the sunlight directly illuminating on the southern hemisphere. Right panel: variation of thermal inertia with temperature. The thermal inertia ranges from 9 to 92 Jm−2 s−1/2 K−1 with respect to a 3σ uncertainty of mean regolith grain size $\widetilde{r}$.

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Since ${\rm{\Gamma }}=\sqrt{\rho C(T)\kappa (T)}$, the relation between specific heat capacity and temperature can be approximately represented by Debye's formula:

Equation (9)

where $\hat{T}=T/{T}_{{\rm{D}}}$, TD ≈ 700 K, a ≈ 39.09, b ≈ 14.46, c ≈ 3.304, and m a ≈ 22 (Yu & Ip 2021). The correlation between thermal conductivity and temperature can be expressed via Equation (7). Considering a density of 1.98 g cm−3 (Hanuš et al. 2020), the variation of thermal inertia due to seasonal temperature change can then be given as shown in the right panel of Figure 5. If considering the 3σ uncertainty of mean regolith grain size $\widetilde{r}$, the surface thermal inertia of Interamnia ranges from 9 to 92 Jm−2 s−1/2 K−1. The diurnal temperature also changes obviously within a rotation period. Since thermal inertia increases monotonically with temperature (Figure 5), the thermal inertia distribution at a certain orbital position is in relation to seasonal temperature distribution, which may result in the variation of distribution of thermal inertia on the asteroid's surface as it spins. As shown in Figure 6, we plot the thermal inertia distribution of Interamnia at the perihelion and aphelion, where its shape model is adopted from Hanuš et al. (2020). The maximum thermal inertia emerges at the southern hemisphere when the asteroid is near perihelion, whereas it occurs at the northern hemisphere after aphelion. However, due to the daylight phenomenon on Interamnia, the higher or lower thermal inertia can be retained for a relatively long time (about a quarter of an orbital period), and the thermal inertia of the diurnal effect seems to be less remarkable than that of the seasonal effect. Moreover, the thermal inertia of the southern and northern hemispheres greatly differs over an entire orbital period, thereby giving rise to diverse thermal characteristics in the southern and northern regions.

Figure 6.

Figure 6. Thermal inertia distribution of Interamnia at the perihelion and aphelion.

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3.4. Estimation of Density, Porosity, and Water Ice Ratio

Hanuš et al. (2020) estimated the mass of Interamnia to be (3.79 ± 1.28) × 1019 kg and measured the mean diameter to be 332 ± 6 km, which presents a bulk density of 1.98 ± 0.68 g cm−3. The density is indicative of a moderate proportion of water inside the asteroid. In this work, the mean diameter is derived to be ${339}_{-11}^{+12}\,\mathrm{km}$, and if we adopt the same mass as Hanuš et al. (2020), a bulk density of 1.86 ± 0.63 g cm−3 can be estimated, indicating that much more water ice may exist on Interamnia. Hence, with the bulk density, we may make a rough estimation of porosity, which can be described as

Equation (10)

where ρ b and ρ g are bulk density and grain density of the material, respectively. First, we assume that there is no water ice inside the asteroid, and since Interamnia is a B/F-type asteroid, we consider the density and porosity of carbonaceous chondrites. Macke et al. (2011) measured the average grain density of 63 different carbonaceous chondrites to be 3.44 g cm−3; by substituting this into Equation (10), we can obtain p = 48%. The porosity (assuming no water ice) is relatively high as compared to the measured carbonaceous chondrites, which varies from 0% to 41% (Macke et al. 2011). The derived porosity is also close to that of Bennu for the OSIRIS-REx mission, whose porosity is predicted to be 40% ± 10% (Lauretta et al. 2019). However, the selection effect of Earth's atmosphere can remove high-porosity materials, so the meteorites may not be the best analog for understanding the asteroid's porosity. In addition, Bennu is a near-Earth object with a mean diameter of 490 m; thus, it might not be suitable to simply compare the porosity of two bodies. In fact, the macroporosity tends to decrease with increasing size (Vernazza et al. 2021), and large asteroids with mass ≥1019 kg appear to have minimal macroporosity (≤5%–10%). Thus, although Britt et al. (2002) estimated the average porosity of C-type asteroids to be 17%, and several C-type asteroids even have porosities larger than 50%, we still infer that (704) Interamnia is a coherent asteroid that may possess a low porosity, resembling other large objects in the main belt, like (1) Ceres, (2) Pallas, and (4) Vesta, presumably due to remarkable gravitational compression (Britt et al. 2002). Based on this assumption, we safely suggest that Interamnia would be likely to contain a certain amount of water ice.

To evaluate the volume fraction of water ice (denoted as f w ), we suppose that Interamnia only consists of water ice and grains of uniform density for simplicity. The bulk density can then be expressed as

Equation (11)

where M w and M g are the mass of water ice and grains, V w and V g are the volume of water ice and grains, ρ w and ρ g are the water ice density and grain density, and p is the mean porosity. Thus, the volume fraction f w can be deduced as

Equation (12)

Considering that the real mean grain density and porosity of Interamnia are yet unknown, we can estimate f w from the grain density of meteorites and other large asteroids. A previous study showed that grain densities of carbonaceous chondrites span from 2.42 g cm−3 (CI1 Orgueil) to 5.66 g cm−3 (CB Bencubbin; Macke et al. 2011); we exclude those extremely high grain densities and the limit density estimate to 2.5–3.5 g cm−3. As aforementioned, Interamnia is more likely to be a coherent asteroid than a loosely consolidated object. According to Britt et al. (2002), we then assume that the porosity of Interamnia is no more than 20%. Substituting ρ = 2.42–3.78 g cm−3 and p = 0%–20% into Equation (12), we can obtain the variation of f w with porosity and density, as seen in Figure 7. Note that the bulk density is set to be 1.86 g cm−3 and the negative f w is treated as zero. The volume fraction of water ice lies in the range of 9%–66%, implying that high grain density and low porosity are related to larger f w .

Figure 7.

Figure 7. The volume fraction of water ice contained inside Interamnia as a function of grain density and porosity in Equation (12); here bulk density is set to be 1.86 g cm−3.

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4. Fitting with Thermal Light Curves

Due to the irregular shape of the asteroid, the cross-sectional area of the asteroid by the observer changes periodically as it rotates, thereby resulting in periodic changes in observed radiation flux. Therefore, to further examine the goodness of fitting, we produce theoretical thermal light curves of (704) Interamnia to compare with the observations. Due to the lack of sufficient continuous observations at a single wavelength for Subaru and AKARI, we do not generate thermal light curves for them. We thus only generate curves for IRAS and WISE/NEOWISE. There are two separated epochs for WISE four-band observations and seven for NEOWISE (only W1 and W2). Hence, we select nine different observation times as reference epochs, assuming the rotation phase at these epochs to be zero. For example, for WISE thermal infrared data in 2010, we choose UT 2010 February 9 04:12 and 2010 July 21 15:11 as the reference epochs, and the rotation phase of other observations in 2010 February and 2010 July can be calculated via

Equation (13)

where t0 is the observation time at the reference epoch and Prot is the rotation period. Figure 8 shows the thermal light curves of Interamnia (W3 and W4 bands) at two epochs of WISE observations. As can be seen, the produced thermal light curves can conduct a good fitting with the observations at both epochs. Additionally, NEOWISE observed this object for several years; we plot the thermal light curves for W1 and W2 at nine observational epochs in Figure A1. For the W1 band, the theoretical fluxes before 2015 are generally higher than the observations but can typically fit well with the observed fluxes after 2016. The W2 light curves are generally consistent with the observations, except in 2016 March. We show that thermal light curves that overestimate the observations correspond to relatively large heliocentric distances; thus, the deviation between theoretical flux and observations at W1 band may be caused by the uncertainties in evaluating the effective temperatures at such a faraway distance. Nevertheless, these biases do not have a significant effect on the final results. Similarly, the thermal light curves for IRAS four-band observations are given in Figure 9. The theoretical flux deviates a bit from the measurements at 25 μm but is consistent with observed fluxes when considering the uncertainties. The comparison between the observations and theoretical thermal light curves suggests that our derived parameters for Intermania are reliable.

Figure 8.

Figure 8. Thermal light curves of Interamnia with WISE observations (2010.01 and 2010.07).

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Figure 9.

Figure 9. Thermal light curves with IRAS data in 1983.07 and 1983.08.

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5. Discussions and Conclusions

In this work, we adopt the RSTPM model and mid-infrared data from Subaru, IRAS, AKARI, and WISE/NEOWISE to investigate thermal characteristics of main-belt asteroid (704) Interamnia. To make the fitting process more reliable, we optimize the color correction f c that was given in Wright et al. (2010). When T ≤ 200 K, the color corrections (f c ) for the W1 and W2 bands (Wright et al. 2010) could vary significantly with temperature. Therefore, if W1 and W2 data were used in a radiometric procedure, the change of f c value with temperature should be considered. Furthermore, we conduct the fitting of the given f c with T in Figure 1 and calculate the effective temperature at the observed epoch; the f c value can thus be evaluated. Moreover, we utilize Equation (6) to obtain the total theoretical flux, where the thermal emission and solar reflection components were multiplied by blackbody and G2V star color corrections, respectively, which greatly improves the usage of WISE data at W1 and W2 bands.

The radiometric results are summarized as follows: The grain size and rms slope within the 3σ range are ${190}_{-180}^{+460}$ μm and ${27}_{-9}^{+13}$ deg, respectively. Here the effective diameter and geometric albedo are derived to be ${339}_{-11}^{+12}\,\mathrm{km}$ and ${0.0472}_{-0.0031}^{+0.0033}$, respectively. Note that the uncertainty of the derived p v from thermal modeling is dominated by the uncertainty of absolute magnitude ${\sigma }_{{H}_{V}}$ (Masiero et al. 2021). Even for Intermania, one of the largest objects in the main belt, ${\sigma }_{{H}_{V}}$ may be relatively small, but the derived p v will have some additional uncertainty due to ${\sigma }_{{H}_{V}}$. By adopting the mass of (3.79 ± 1.28) × 1019 kg from Hanuš et al. (2020), we derive a bulk density of 1.86 ± 0.63 g cm−3. Our result of p v is consistent with typical values of B- or C-type asteroids. The low values of thermal inertia and grain size imply the presence of a fine regolith on the surface of Interamnia, while a large diameter of the asteroid is indicative of a long-term space weathering scenario that had formed a dust mantle on its surface. Thermal conduction within the dust mantle can be related to conductivity, grain size, and porosity. The seasonal effect (that the temperature changes) on thermal inertia cannot be ignored. We show that the thermal inertia variation with an entire orbital period varies from 9 to 92 Jm−2 s−1/2 K−1. It is noteworthy that RSTPM takes mean dust grain size as a free parameter in the fitting, which can provide a method to reveal dust properties of an asteroid with dust mantle or regolith. From thermal light curves at W1, we find that when the asteroids have relatively large heliocentric distance, the modeled fluxes seem to overestimate the observations, indicating that there exist some uncertainties of the calculated effective temperature at the orbital positions, or those of the reflected sunlight in the model. In any case, such uncertainties do not have significant influence on our final results.

In fact, the temperature distribution on the surface of Interamnia can also influence its physical properties. We find that the seasonal temperature shifts over an entire orbital period when the asteroid orbits around the Sun. We show that the Sun illuminates on Interamnia's south hemisphere when near the perihelion, thereby resulting in a higher temperature; the subsolar temperature spreads from 147 to 242 K. The large difference of temperature distribution between the southern and northern hemispheres may give rise to the diversity of thermal characteristics on the asteroid's surface, for example, thermal inertia of the southern hemisphere is larger than that of the northern hemisphere when the asteroid is near perihelion, and vice versa.

Interamnia may contain large amounts of water ice under its surface, and the sublimation of water ice could drive an increase in activity for the asteroid. Considering the given grain density and porosity of carbonaceous chondrites by Macke et al. (2011), we estimate that the volume fraction of water ice (fw) ranges from 9% to 66%. Note that the derivation of f w is based on our derived bulk density of ρ b = 1.86 g cm−3, but this density has an uncertainty of more than 20%; if we adopt a lower limit of ρ b , the volume fraction of water ice varies from 51% to 90%, whereas if an upper limit of ρ b is utilized, f w lies in the range 0%–40%.

Although no obvious cometary activity (such as dust/ion/gas tails) is observed for this asteroid, we can still predict the possible existed sublimation activity via the given temperature variation. Generally, the main-belt asteroids are believed to be covered with a certain thickness of regolith layers or dust mantle (Gundlach & Blum 2013; Jiang & Ji 2021), the underneath water ice may be sufficiently exposed to account for the mass loss, due to a small impact (Jewitt et al. 2015). Under this scenario, Interamnia may produce activity simply in a local regime. From the seasonal temperature variation profile in Figure 5, we show that if the ice patch is located at the southern hemisphere region, the maximum sublimation rate occurs after the perihelion passage, whereas if the exposed ice is at the northern hemisphere, the ice patch would not receive the sunlight, and due to the large obliquity of the rotation axis, the ice patch at the northern hemisphere can be continuously illuminated by the Sun. In this case, the maximum activity may occur at the orbital position of M ∼ −240°. This speculation can be used to determine the best window of observing the activity of this asteroid. Busarev et al. (2015, 2018b) noted the weak activity of Interamnia at perihelion distances in both 2012 and 2017 with a mean anomaly of 14° and 24°, respectively. However, to further confirm the existence of activity, more follow-up observations should be carried out in the future.

Active asteroids in the solar system can offer key clues to the planetary formation and evolution, even the origin of the solar system (Jewitt et al. 2015). A small body that can be recognized as an active asteroid should meet the following requirements: (1) semimajor axis a < aJupiter = 5.2 au, (2) Tisserand parameter greater than 3.08, and (3) clear evidence for a mass-loss scenario. Here Interamnia bears a semimajor axis of 3.056 au and a Tisserand parameter of about 3.148; although no resolved coma or tail has been observed yet, we speculate that this asteroid may hold a large amount of water ice, therefore being a good candidate to understand the origin, evolution, and distribution of water ice in the asteroid belt. In addition, the China National Space Administration (CNSA) is now planning a mission to explore the solar system boundary (Wu et al. 2019; Wang et al. 2020), which is scheduled to be launched in 2024, hopefully to reach ∼100 au by 2049. In this mission, the main-belt objects and KBOs will be proposed as potential flyby targets. Thus, Interamnia can be selected as a flyby candidate for this CNSA mission, and further studies would be needed to extensively shed light on its characteristics by forthcoming space-based rendezvous.

We thank the referee for constructive comments and suggestions. This work is financially supported by the B-type Strategic Priority Program of the Chinese Academy of Sciences (grant No. XDB41000000), the B-type Strategic Priority Program of the Chinese Academy of Sciences (grant No. XDB41000000), the National Natural Science Foundation of China (grant Nos. 12150009, 12033010, 11873098), the China Manned Space Project with No. CMS-CSST-2021-B08, the grants from The Science and Technology Development Fund, Macau SAR (File No. 0051/2021/A1), the China Postdoc Research Foundation (grant No. 2021000137), CAS Interdisciplinary Innovation Team, and the Foundation of Minor Planets of the Purple Mountain Observatory. This research has made use of the NASA/IPAC Infrared Science Archive, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.

Appendix: Mid-IR Data and NEOWISE W1 and W2 Thermal Light Curves

Figure A1 shows the thermal light curves for W1 and W2 bands at different epochs. The theoretical fluxes can generally fits well with the observations. Mid infrared data and observation geometries of IRAS, AKARI, Subaru and WISE/NEOWISE are listed in Table A1. Note that WISE/NEOWSIE observations are not color corrected here.

Figure A1.

Figure A1. W1 and W2 band thermal light curves at nine epochs for Interamnia.

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Table A1. Mid-infrared Observations from IRAS, AKARI, Subaru, WISE, and NEOWISE

DateTimeBandFluxErrorUnitsAlpha rhelio Δobs Tel.
(UT)(UT)(μm)   (deg)(au)(au) 
1983-07-1302:5412.018.392.0Jy17.0833.4433.188IRAS
1983-07-1302:5425.058.296.03Jy17.0833.4433.188IRAS
1983-07-1302:5460.032.289.59Jy17.0833.4433.188IRAS
1983-07-1302:54100.016.694.16Jy17.0833.4433.188IRAS
2006-05-2216:4518.089.05.95Jy21.1092.8112.633AKARI
2006-05-2304:189.017.961.08Jy21.1172.812.627AKARI
2010-02-0813:543.418.011.8mJy−16.3623.5023.354WISE
2010-02-0813:544.643.314.33mJy−16.3623.5023.354WISE
2010-02-0813:5412.023.0910.63Jy−16.3623.5023.354WISE
2010-02-0813:5422.040.6118.7Jy−16.3623.5023.354WISE
2014-01-1810:5612.543.994.66Jy8.3993.2462.349Subaru
2014-01-1811:0311.638.644.08Jy8.3993.2462.349Subaru
2014-01-1811:1010.329.223.1Jy8.3993.2462.349Subaru
2014-01-1811:159.820.592.2Jy8.3993.2462.349Subaru
2014-01-1811:198.713.121.41Jy8.3993.2462.349Subaru
2014-01-1811:217.89.131.09Jy8.3993.2462.349Subaru
2014-01-1811:2618.793.5211.03Jy8.3993.2462.349Subaru
2014-01-1811:3024.5100.9817.79Jy8.3993.2462.349Subaru
2014-04-3009:413.420.152.02mJy17.3753.3663.146NEOWISE
2014-04-3009:414.641.594.16mJy17.3753.3663.146NEOWISE
2018-10-2108:223.434.253.43mJy19.8432.9322.771NEOWISE
2018-10-2108:224.6156.5115.65mJy19.8432.9322.771NEOWISE

Only a portion of this table is shown here to demonstrate its form and content. A machine-readable version of the full table is available.

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Footnotes

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10.3847/1538-4357/acaeaa