Issue |
A&A
Volume 659, March 2022
|
|
---|---|---|
Article Number | L1 | |
Number of page(s) | 8 | |
Section | Letters to the Editor | |
DOI | https://doi.org/10.1051/0004-6361/202243090 | |
Published online | 25 February 2022 |
Letter to the Editor
Size and albedo of the largest detected Oort-cloud object: Comet C/2014 UN271 (Bernardinelli-Bernstein)
1
LESIA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Université, UPMC Univ. Paris 06, Univ. Paris Diderot, Sorbonne Paris Cité, 5 place Jules Janssen, 92195 Meudon, France
e-mail: emmanuel.lellouch@obspm.fr
2
Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, 18008 Granada, Spain
Received:
12
January
2022
Accepted:
31
January
2022
Context. The recently announced Oort-cloud comet C/2014 UN271 (Bernardinelli-Bernstein) is remarkable in at least three respects: (i) it was discovered inbound as far as ∼29 au from the Sun (with prediscovery images up to ∼34 au); (ii) it already showed cometary activity at almost 24 au; and (iii) its nuclear magnitude (Hr ∼ 8.0) indicates an exceptionally large object. Detection of gases is expected in the upcoming years as the comet heads toward a perihelion of ∼11 au in 2031.
Aims. The goal is to determine the object’s diameter and albedo from thermal measurements.
Methods. We used ALMA in extended configuration (resolution ∼0.064″) to measure the 1287 μm (233 GHz) continuum flux of the comet. Observations were performed on August 8, 2021, at a 20.0 au distance from the Sun. The high spatial resolution was chosen in order to filter out any dust contribution. We also used a recently published Afρ value to estimate the dust production rate and the expected dust thermal signal for various assumptions on particle size distribution.
Results. We detected the thermal emission of the object at ∼10σ, with a flux of 0.128 ± 0.012 mJy. Based on observational constraints and our theoretical estimates of the dust contribution, the entirety of the measured flux can be attributed to the nucleus. From NEATM modeling combined with the Hr magnitude, we determine a surface-equivalent diameter of 137 ± 17 km and a red geometric albedo of 5.3 ± 1.2%. This confirms that C/2014 UN271 is by far the largest Oort-cloud object ever found (almost twice as large as comet C/1995 O1 Hale-Bopp) and, except for the Centaur 95P/Chiron, which shows outburst-like activity, the largest known comet in the Solar System. On the other hand, the C/2014 UN271 albedo is typical of comets, adding credence to a “universal” comet nucleus albedo.
Conclusions. With its distant perihelion and uniquely large size, C/2014 UN271 (Bernardinelli-Bernstein) is the prominent archetype of distant comets whose activity is driven by hypervolatiles. Monitoring of dust and gas emission as the comet approaches and passes perihelion will permit its activity time pattern to be studied and compared to the distant (outbound) activity of Hale-Bopp. Post-perihelion thermal measurements will permit the study of possible albedo changes, such as a surface brightening compared to pre-perihelion, as was observed for Hale-Bopp.
Key words: comets: individual: C/2014 UN271 (Bernardinelli-Bernstein)
© E. Lellouch et al. 2022
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
1. Introduction
Comet C/2014 UN271 (Bernardinelli-Bernstein) (hereafter 2014 UN271 for brevity) was discovered as part of the search for outer Solar System objects with the Dark Energy Survey (DES) performed over the period 2013–2019 (Bernardinelli et al. 2021a). 2014 UN271 was observed in 42 DES survey images on 25 nights from October 2014 to November 2018, with a heliocentric distance rh ∼ 29 au (Bernardinelli et al. 2021b). Prediscovery images from WISE, CFHT, VST, VISTA, and Pan-STARRS extend the photometric record to October 2010 (rh ∼ 34.1 au). Orbital analysis (Bernardinelli et al. 2021b) indicates characteristic Oort-cloud membership, with an inclination and a semimajor axis of the incoming orbit of 95.5° and 20 200 au, respectively (i.e., an inbound orbital period of ∼2.9 million years). The object is heading toward a 10.95 au perihelion passage, to occur on January 21, 2031. Backward orbit integration points to a previous perihelic passage at 17–21 au and suggests that 2014 UN271 has never been closer than this distance since its ejection from the Oort cloud, possibly making it one of the most “pristine” comets ever observed.
Observation parameters.
The announcement of the object on June 19, 2021 (Bernardinelli & Bernstein 2021) prompted immediate observations, which showed a visible coma at rh = 20.18 au (Demetz et al. 2021; Kokotanekova et al. 2021; Buzzi & Lister 2021). Analysis of Transiting Exoplanet Survey Satellite (TESS) data from September and October 2018 indicated that a coma was already present at 23.8 au, and syndyne analysis suggested the activity might have started several years earlier (Farnham et al. 2021). 2014 UN271 thus joins the list of inbound, distantly active, long-period comets that includes C/2017 K2 (Pan-STARRS), C/2010 U3 (Boattini), and C/2014 B1 (Schwartz). Also, comet C/1995 O1 Hale-Bopp was observed to be active and outbound 11 years after perihelion at 25.7 au from the Sun (Szabó et al. 2008) and may be even have been at 30.7 au (Szabó et al. 2011). Activity in these objects may in fact occur even farther away: modeling of the rh dependence of the dust production rate in C/2017 K2 indicates activity was already present at 35 au, presumably driven by the sublimation of CO or other supervolatile ices (Jewitt 2021).
Of further interest for the characterization of 2014 UN271 are the following aspects (Ridden-Harper et al. 2021; Farnham et al. 2021; Bernardinelli et al. 2021b; Kokotanekova et al. 2021): (i) possible fluctuations in the magnitude but a lack of a clear rotational signal at the > 0.2–0.3 mag level; and (ii) a moderately red color, with spectral slope 5–10%/100 nm, typical of (or slightly bluer than) long-period comets (Jewitt 2015). Gas emissions have not yet been detected, with production rates QCO < 1.25 × 1028 mol s−1 and QCN < 1.25 × 1027 mol s−1 near ∼21 and ∼20 au, respectively (Farnham et al. 2021; Kokotanekova et al. 2021). Most remarkable for 2014 UN271, however, is its exceptionally bright absolute magnitude, Hr = 7.96 ± 0.03, which showed no evolution in ground-based data during the approach from 34 to 22 au and therefore presumably represents the nuclear magnitude (Bernardinelli et al. 2021b). For a standard cometary 5% red albedo, and based on usual relationships between diameter (D) and H magnitude (see Sect. 3.2), this yields D = 130 km, potentially making 2014 UN271 1.75 times larger than Hale-Bopp (74 ± 6 km diameter; Szabó et al. 2012). 2014 UN271 would thus compete in size with the largest Centaurs and with the smallest of the trans-Neptunian objects (TNOs) for which size measurements are available; however, the typical (visible) albedos of TNOs are typically around 8% (Müller et al. 2020). Based on Hale-Bopp experience (Biver et al. 2002; Rauer et al. 2003), detection of CO, CN, and other species in 2014 UN271 may be expected as it heads toward and beyond its ∼11 au perihelion in the upcoming years, and a determination of its diameter and albedo is needed to complete its physical characterization. We report here on such measurements based on the detection of thermal emission with the Atacama Large Millimeter Array (ALMA) and the application of the radiometric technique.
2. Observations and data reduction
Observations of comet C/2014 UN271 were obtained on August 8, 2021, with the 12-meter array of ALMA, under the ALMA DDT (Director Discretionary Time) project 2019.A.00038 (see details in Table 1). Heliocentric distance, geocentric distance, and phase angle values of the target were rh = 20.0046 au, Δ = 19.6776 au, and α = 2.77°, respectively. All observations were taken in ALMA Band 6 (211–275 GHz) in the continuum (“TDM”) mode. We used the standard frequency tuning for that band, which yielded four 1.875-GHz broad spectral windows centered at 224, 226, 240, and 242 GHz. The array was in extended configuration C8, with 40 operating antennas. This yielded baselines in the range 92m–8282m and a synthesized beam of ∼0.065″ for robust weighting (0.5), which is larger than the expected nucleus size (∼10 mas) but allows dust emission to be filtered out. Observations were obtained in dual polarization mode, with the two polarizations combined at the data reduction stage to provide a measurement of the total flux.
The observations consisted of two scheduling blocks (SBs), each ∼55–58 min long, including ∼27 min on source. The rest of the time in each SB was spent on flux (bandpass) calibrators and on secondary (phase) calibrators for monitoring the atmospheric and instrumental amplitude and phase gains. Observations occurred in excellent weather conditions (zenithal precipitable water vapor ∼0.9 mm; antenna-based phase rms ∼26 degrees). Observational details and flux results are given in Table 1.
The flux calibrators, namely quasars J0519-4546 and J2258-2758 for the two SBs, are variable but routinely monitored. Details on how we estimated their flux and associated error bar on the observing date are given in Appendix A.
Initial steps of the data reduction were performed in the CASA reduction package via the ALMA pipeline (Muders et al. 2014), which provided a set of visibilities as a function of baseline between each antenna pair. Visibility fitting was performed for the two flux calibrators, and visibilities were rescaled (by factors of 0.99 and 0.995 for SB1 and SB2, respectively, from the ALMA pipeline calibration) so that their measured flux matched the values expected from Appendix A (and recalled in Table 1). These factors were also applied to visibility data of the phase calibrator (J0253-5441) and of the science target. Visibility fitting provided two independent values of the flux of J0253-5441 that were found to be consistent within 4% (see Table 1), confirming the quality of the flux scale.
For 2014 UN271, visibilities were exported into the GILDAS package for imaging and visibility fitting. Combining data from the two SBs and the four spectral windows resulted in the 233 GHz image of C/2014 UN271 shown in Fig. 1 and yielded a detection of the object at ∼10σ. Visibility fitting was performed independently for the two SBs. In a first step, for each SB, each of the four spectral windows yielded a measure of the flux and of the (RA, Dec) position offset of the target from the expected ephemeris1, leaving these parameters free in the fit and specifying a point-like source. The four sets of (RA, Dec) values were then kept fixed at their average values (see Table 1), and the visibilities were refit in terms of the object total flux. We specified either a point-like source or a 9.5 milliarcsecond (mas) disk (which corresponds to the a posteriori determination of the object diameter), with insignificant differences (∼0.001 mJy in flux). For each SB, the combined 233 GHz flux and its error bar were obtained by merging the visibilities from the four spectral windows (GILDAS task uv_merge) after rescaling to that frequency using a spectral index α = d(log Fν)/d(log ν) of 1.93 in the 224–242 GHz range, as expected from NEATM models (see Sect. 3.2), and performing visibility fitting again. This yielded 0.109 ± 0.016 mJy for SB1 and 0.147 ± 0.016 mJy for SB2, which is a somewhat unexpected 2.4σ difference. In theory, the object’s thermal flux might show rotational variability associated with a triaxial (a, b, c) projected shape, but even assuming the two SBs were precisely in phase with projected surface maxima and minima, the 35% higher flux in SB2 would strictly imply a > 1.8b. This is also at face value inconsistent with the lack of rotational variability at the > 0.2–0.3 magnitude level in optical data, although optical variability might be damped by coma contribution. In what follows, we simply averaged the fluxes from the two SBs, which yielded 0.128 ± 0.011 mJy2. Quadratically adding a conservative 4% uncertainty on the flux calibrator scale, the final object flux is 0.128 ± 0.012 mJy.
Fig. 1. Re-centered 233 GHz total image of 2014 UN271, merging data from the two SBs and the four spectral windows. The synthesized beam, shown in white, is 0.067″ × 0.062″. The scale of the color bar is in mJy. |
3. Analysis
3.1. Estimate of coma contribution
Visibility curves, V, as a function of UV radius, σ, bear information on the spatial distribution of the source. For a uniform disk of apparent diameter θ, V(σ) follows a J1 Bessel function, with first zero at σ0 = 1.22λ/θ and a constant value for a point-like source. Extended emission for a coma brightness distribution varying as 1/ρ, where ρ is the distance to comet center, shows up as visibilities V(σ) ∝ 1/σ (Bockelée-Morvan et al. 2010). Figure 2 shows the real part of the observed visibilities for 2014 UN271, weight-averaged in 400-meter-wide σ bins plotted in terms of λ. From χ2 analysis, visibility fitting cannot distinguish between disk sizes smaller than ∼40 mas, which is to be expected given the ∼65 mas resolution achieved and the measurements’ S/N. Most importantly, within the noise level, no indication of a 1/σ signal component is apparent. Fitting the V(σ) curve with the sum of a constant and a 1/σ term provides no better fit than the previous point-like and < 40 mas disk models, and in this case (sixth model in Fig. 2, blue curve), the nucleus contributes 93% of the signal. A 3σ upper limit to the contribution of the coma to the visibility at σ = 270 m (220 kλ) can be set at the 0.1 mJy level (orange curves in Fig. 2). Even in this extreme case, the contribution of the nucleus is 0.097 mJy (i.e., 76% of the total flux). This is a first, observational piece of evidence of a dominant nuclear contribution to the signal.
Fig. 2. Real part of the visibilities, averaged in 400-meter UV radius bins, compared to various models: (i) point source, (ii) disks with apparent sizes of 9.5, 20, 40, and 60 mas, and (iii) sum of a point source and a coma. The visibilities are rescaled to 233 GHz, and the UV radii are expressed in terms of the wavelength (kilo-λ). The dashed orange curve indicates the strongest coma signal that can be accommodated by the data. |
Furthermore, based on the comet dust activity level reported on June 29, 2021 (Dekelver 2021; Bernardinelli et al. 2021b), an Afρ value of ∼150 m, we estimated the expected thermal signal from the dust in the ALMA synthesized beam for different assumptions of the particle size index (β) and maximum particle radius (amax). Results, described in Appendix B, indicate that for most assumptions the thermal emission of dust is entirely insignificant. Only if the particle size distribution is extremely shallow (β = 3) and the maximum particle size very large (amax = 1 cm) is there a non-negligible, albeit still minor and within the uncertainty of the measured visibilities, dust contribution to the measured signal. In the rest of the paper, the measured thermal flux of 0.128 ± 0.012 mJy is attributed to the nucleus only.
3.2. Nucleus diameter and albedo
Without knowledge of nucleus shape and spin parameters (pole orientation and shape), a thermophysical model is pointless, and we instead adopted a NEATM (Near Earth Asteroid Thermal Model) model, used extensively for asteroids (Harris 1998) and TNOs (Müller et al. 2020, and references therein). NEATM is based on the asteroid standard thermal model (STM; Lebofsky et al. 1989) but accounts for phase angle effects; additionally, the temperature distribution is modified by an adjustable η−1/4 factor, which represents the combined and opposed effects of roughness (η < 1) and thermal inertia (η > 1). For fixed surface (thermal inertia, roughness) and spin properties, η is also a function of the subsolar temperature, and, therefore, of the heliocentric distance (e.g., Spencer et al. 1989; Lellouch et al. 2013). Given the rh = 20 au distance of our measurements (and the expected large size of 2014 UN271), we adopted a beaming factor η = 1.175 ± 0.42, based on measurements of 85 Centaurs and TNOs (Lellouch et al. 2013, 2017). We also specified a bolometric emissivity ϵb = 0.90 ± 0.06 and a relative radio emissivity ϵr = ϵmm/ϵb = 0.70 ± 0.13, as inferred from combined Spitzer/Herschel/ALMA measurements of nine objects (Brown & Butler 2017; Lellouch et al. 2017). The lower-than-unity relative radio emissivity is interpreted as resulting from (i) the sounding of a colder dayside subsurface and (ii) the loss of outgoing thermal radiation due to volume scattering in the subsurface and/or Fresnel reflection at the surface. The few available radio observations of cometary nuclei also generally indicate radio emissivities lower than 1, for example ∼0.5 for Hale-Bopp (Fernández 2002) and < 0.8 for 8P/Tuttle (Boissier et al. 2011). Comets are also found to have low thermal inertias (e.g., < 10, < 30, and < 45 MKS for 8P/Tuttle, 22P/Kopff, and 9P/Tempel 1, respectively; Boissier et al. 2011; Groussin et al. 2009, 2013), consistent with a beaming factor, η, of order unity. Based on NEATM analysis of a large sample of comet nuclei observed with Spitzer at rh = 3.5–6 au, Fernández et al. (2013) find a mean η of 1.03 ± 0.11. The large 29P/Schwassmann-Wachmann nucleus (D = 65 km) has η = 1.1 ± 0.2 (Schambeau et al. 2021). These numbers are fully consistent with our choice of η. Given the values of rh, η, and ϵb, NEATM calculations indicate that the object’s spectral index over 224–242 GHz is 1.93, slightly lower than the Rayleigh-Jeans limit of 2.
With the above parameters, the measured thermal flux yields the object’s (surface-equivalent) diameter, D, and the albedo was then determined from the usual relationship between diameter (D) and magnitude (H), D = 2a/ 100.2(m⊙ − H), where p is the object’s geometric albedo, m⊙ is the solar magnitude in the relevant band, and a = 1 au. Using V⊙ = −26.76 and (V–R)⊙ = 0.35, one obtains D = 1330 km/ 10−0.2HV from the V band and D = 1132 km/ 10−0.2HR from the R band. We converted the griz magnitudes and colors from Bernardinelli et al. (2021b) using the prescriptions of Jester et al. (2005), which yields HV = 8.21 ± 0.05, HR = 7.75 ± 0.05, and V − R = 0.46 ± 0.02 (i.e., pR = 1.11 ± 0.02 pV). The temperature distribution, T, across the object is also a function of the object’s albedo, pV, through T ∝ (1 − pVq)1/4 (where a reasonable value of q, the phase integral, is ∼0.4). However, this dependence is minimal given the a posteriori low albedo inferred (pV ∼ 0.049), so iterating once on the albedo in NEATM was sufficient.
To account for uncertainties, both on the measured object’s flux and on the model inputs (η, ϵb, ϵr, and Hr), we randomly generated a large set (40 000) of synthetic data and model inputs, based on Gaussian-added noise on each parameter at the appropriate level (Mueller et al. 2011), solving for D and pR in each case. In doing so, we restricted η values to be > 0.6 (lower values are physically implausible; see Mommert et al. 2012), as well as ϵb < 1 and ϵr < 1.
4. Results and discussion
Figure 3 shows the distribution of the solution D and pR, accounting separately for flux uncertainties, model uncertainties, and both. This provided best-fit values and error bars (defined to include the central 68.3% of the results) for the diameter and albedo. We find D = 137 ± 17 km3 and pR = 5.3 ± 1.2%, where error bars are dominated by model errors – and principally by the uncertainty on ϵr. This confirms that 2014 UN271 is almost twice larger in diameter than Hale-Bopp and makes it the largest Oort-cloud comet detected so far. 2014 UN271 is also larger than almost all active Centaurs (e.g., D ∼ 60 km for 167P/Cineos, 174P/Echeclus, and 29P/Schwassmann-Wachmann; see Müller et al. 2020; Schambeau et al. 2021), being surpassed only by 95P/Chiron (D ∼ 215 km; Fornasier et al. 2013). Given, however, that Centaurs activity occurs mostly in the form of outbursts of variable lifetime4 but is mostly uncorrelated with heliocentric distance (Peixinho et al. 2020, and references therein), 2014 UN271 appears as the largest “standard comet” ever discovered5.
Fig. 3. Diameter and R albedo distribution of solutions. The red line shows the central values. Blue, green, and black curves show the distributions associated with flux uncertainties, model uncertainties, and both, respectively. For an easier comparison, all distributions are rescaled to peak at 10 000. |
Unlike the size, the albedo of 2014 UN271, pV = 4.9 ± 1.1%, is completely in line with that of other, typically much smaller, comets (2–6% in V or R for a sample of ∼80 ecliptic or near-isotropic comets, with no discernible trends with other orbital or physical parameters; see Lamy et al. 2004; Campins & Fernández 2002). Our measurement thus adds evidence against a dependence of comet nucleus albedo on size. Such a conclusion was reached previously by Fernández et al. (2013) on the basis that the size distribution they measured for 89 comets in the thermal range is indistinguishable from that inferred from optical photometry assuming constant albedo. In this context, 95P/Chiron, with pV = 0.10–0.17 (Lellouch et al. 2017), stands as a clear outlier both from comet nuclei and from the Centaur population as a whole (median pV, 5.6%; see Müller et al. 2020)6. We also note that with its ∼5% albedo and 5–10%/100 nm spectral slope, 2014 UN271 falls in the middle of the “dark/neutral” cluster identified in the Kuiper Belt (Lacerda et al. 2014). The low albedos encountered on many outer Solar System objects are usually associated with the presence of exposed organics along with additional darkening agents, such as sulfides (Rousseau et al. 2018). This hypothesis is strengthened by the detection of large amounts (∼50% in mass) of organics in the dust of 67P/Churyumov-Gerasimenko (Bardyn et al. 2017), but many questions remain as to the relations between albedo, color, composition, irradiation, and activity (see, e.g., Brunetto et al. 2006; Jewitt 2015; Poston et al. 2018; Wong et al. 2019).
Our observation at 20 au provides the most distant determination of the albedo of a new Oort-cloud object on its inbound orbit. This is of interest because cometary activity may cause nucleus albedo (and color) to change over time. In the case of comet Hale-Bopp, a joint analysis of pre- and post-perihelion data indicated pR ∼ (3.1–3.6) ± 1.0% at 6.4 and 4.4 au inbound (Szabó et al. 2012), in agreement within errors with our determination for 2014 UN271, but an exceptionally high pR = 8.1 ± 0.9% at 31–32 au outbound. This was interpreted as due to gravitational redeposition of bright icy grains near the cessation of the outbound activity, burying low-albedo material. Although the mechanism was at the time deemed more likely to occur in large objects (favoring gravitational fallback) and with distant activity (associated with slower velocities), a similar redeposition mechanism was responsible for the bright, smooth, ejecta-covered “neck” (Hapi) region of comet 67P/Churyumov-Gerasimenko7. Remeasuring the thermal emission (and colors) of 2014 UN271 post-perihelion (e.g., at 20 au outbound in 2040) will permit the assessment of whether these processes occur as well on this comet.
Just as Hale-Bopp is the archetype of a large comet on a Sun-approaching orbit, 2014 UN271 appears as the most prominent representative of distant, long-period comets whose activity is governed by hypervolatiles (CO, CO2, etc.), and monitoring of its chemical composition as it approaches and passes perihelion will be of high value. Scaling Hale-Bopp (outbound) activity data (Biver et al. 2002) by D2 and , we expect a current CO production rate in 2014 UN271 of QCO = 7 × 1027 mol s−1, rising to ∼2 × 1028 mol s−1 at the ∼11 au perihelion in January 2031. Likewise, based on Hale-Bopp CN data up to 9.8 au (Rauer et al. 2003), we anticipate QCN ∼ 2 × 1025 mol s−1 at perihelion. While signals will remain modest, requiring the use of sensitive facilities (ALMA, VLT, JWST, etc.), both species and possibly a few others (HCN, CH3OH, CO2, etc.), should be detectable and monitored over a ∼10 year period around perihelion. The biggest difference between 2014 UN271 and Hale-Bopp, however, is that the former will not enter the water-dominated activity regime; comparisons between the intrinsic (i.e., per km2) activity pattern (outbound, for Hale-Bopp) in the two comets, and possibly in some active Centaurs, will provide further insights into the mechanisms of distant cometary activity. Additional information on the spin properties, shape, and thermal regime of 2014 UN271 should also be gained in the near future from combined optical imaging, JWST thermal measurements, and possibly stellar occultations.
This yields an apparent diameter of 9.6 mas at Δ = 19.68 au, consistent with the point-like appearance of the object in the visibility curve (Fig. 2).
For 2014 UN271, Kelley et al. (2021) reported activity variation possibly associated with outbursts, but the long-term behavior is more characteristic of continuous activity (Farnham et al. 2021).
We note that the geometric albedo of 29P is very uncertain, pV = 2.5–12%, depending on the adopted Hv magnitude (Stansberry et al. 2004).
The nucleus of 67P also underwent blueing and brightening during the perihelion passage due to the blowing-off of volatile-depleted superficial layers and the exposure of brighter and bluer ice-rich subsurface layers (Fornasier et al. 2016; Filacchione et al. 2020).
Acknowledgments
This paper is based on ALMA program 2019.A.00038. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), NSC and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. P.S-S. acknowledges financial support from the Spanish grant AYA-RTI2018-098657-J-I00 “LEO-SBNAF” (MCIU/AEI/FEDER, UE) and from the State Agency for Research of the Spanish MCIU through the “Center of Excellence Severo Ochoa” award to the Instituto de Astrofísica de Andalucía (SEV-2017-0709).
References
- A’Hearn, M. F., Schleicher, D. G., Millis, R. L., et al. 1984, AJ, 89, 579 [CrossRef] [Google Scholar]
- Bardyn, A., Baklouti, D., Cottin, H., et al. 2017, MNRAS, 469, S712 [NASA ADS] [CrossRef] [Google Scholar]
- Bernardinelli, P. H., & Bernstein, G. 2021, Minor Planet Electronic Circulars, 2021-M53 [Google Scholar]
- Bernardinelli, P. H., Bernstein, G. M., Sako, M., et al. 2021a, AAS J., submitted [arXiv:2109.03758] [Google Scholar]
- Bernardinelli, P. H., Bernstein, G. M., Montet, B., et al. 2021b, ApJ, 921, L37 [NASA ADS] [CrossRef] [Google Scholar]
- Biver, N., Bockelée-Morvan, D., Colom, P., et al. 2002, Earth Moon Planets, 90, 323 [NASA ADS] [CrossRef] [Google Scholar]
- Bockelée-Morvan, D., Boissier, J., Biver, N., & Crovisier, J. 2010, Icarus, 210, 898 [CrossRef] [Google Scholar]
- Bockelée-Morvan, D., Rinaldi, G., Erard, S., et al. 2017, MNRAS, 469, S443 [CrossRef] [Google Scholar]
- Boissier, J., Groussin, O., Jorda, L., et al. 2011, A&A, 528, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Brown, M. E., & Butler, B. J. 2017, AJ, 159, 19 [NASA ADS] [CrossRef] [Google Scholar]
- Brunetto, R., Barucci, M. A., Dotto, E., & Strazzulla, G. 2006, ApJ, 644, 646 [NASA ADS] [CrossRef] [Google Scholar]
- Buzzi, L., & Lister, T. 2021, Minor Planet Electronic Circulars, 2021-M83 [Google Scholar]
- Campins, U., & Fernández, Y. 2002, Earth Moon Planets, 89, 117 [Google Scholar]
- Crifo, J. F., & Rodionov, A. V. 1997, Icarus, 127, 319 [NASA ADS] [CrossRef] [Google Scholar]
- Dekelver, P.-J. 2021, C/2014 UN271 Bernardinelli-Bernstein. http://www.astronomie.be/pieterjan.dekelver/Observations/20210629_C2014UN271_Bernardinelli-Bernstein_W86_FULL.jpg [Google Scholar]
- Demetz, L., Buzzi, L., Aletti, A., & Lister, T. 2021, Central Bureau Astronomical Telegrams, CBET-4989 [Google Scholar]
- Fink, U., & Rubin, M. 2012, Icarus, 221, 721 [NASA ADS] [CrossRef] [Google Scholar]
- Farnham, T. L., Kelley, M. S. P., & Bauer, J. M. 2021, PSJ, 2, 236 [NASA ADS] [CrossRef] [Google Scholar]
- Fernández, Y. R. 2002, Earth Moon Planets, 89, 3 [Google Scholar]
- Fernández, Y. R., Kelley, M. S., Lamy, P., et al. 2013, Icarus, 226, 1138 [CrossRef] [Google Scholar]
- Filacchione, G., Capaccioni, F., Ciarniello, M., et al. 2020, Nature, 578, 49 [NASA ADS] [CrossRef] [Google Scholar]
- Fornasier, S., Lellouch, E., Müller, T., et al. 2013, A&A, 555, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Fornasier, S., Mottola, S., Keller, H.-U., et al. 2016, Science, 354, 1566 [NASA ADS] [CrossRef] [Google Scholar]
- Groussin, O., Lamy, P., Toth, I., et al. 2009, Icarus, 199, 568 [NASA ADS] [CrossRef] [Google Scholar]
- Groussin, O., Sunshine, J. M., Feaga, L. M., et al. 2013, Icarus, 222, 580 [CrossRef] [Google Scholar]
- Harris, A. W. 1998, Icarus, 131, 291 [Google Scholar]
- Jester, S., Schneider, D. P., Richards, G. T., et al. 2005, AJ, 130, 873 [Google Scholar]
- Jewitt, D. 2015, AJ, 150, 201 [NASA ADS] [CrossRef] [Google Scholar]
- Jewitt, D. 2021, AJ, 161, 188 [NASA ADS] [CrossRef] [Google Scholar]
- Kelley, M. S. P., Lister, T., & Holt, C. 2021, ATel, 14917, 1 [NASA ADS] [Google Scholar]
- Kokotanekova, R., Opitom, C., Knight, M., et al. 2021, Bull. Amer. Astron. Soc., 53, No. 7 e-id 2021n7i301p04 [Google Scholar]
- Lacerda, P., Fornasier, S., Lellouch, E., et al. 2014, ApJ, 793, 6 [Google Scholar]
- Lamy, P. L., Toth, I., Fernandez, Y. R., & Weaver, H. A. 2004, in Comets II, eds. M. C. Festou, H. U. Keller, & H. A. Weaver, 223 [Google Scholar]
- Lebofsky, L. A., & Spencer, J. R. 1989, in Asteroids II, eds. R. P. Binzel, T. Gehrels, & M. S. Matthews (Arizona University Press), 128 [Google Scholar]
- Lellouch, E., Santos-Sanz, P., Lacerda, P., et al. 2013, A&A, 557, A60 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lellouch, E., Moreno, R., Müller, T., et al. 2017, A&A, 608, A45 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Mommert, M., Harris, A. W., Kiss, Cs, et al. 2012, A&A, 541, A93 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Muders, D., Wyrowski, F., Lightfoot, J., et al. 2014, in The ALMA Pipeline, eds. N. Manset, & P. Forshay, Astronomical Data Analysis Software and Systems XXIII May 2014 [Google Scholar]
- Mueller, M., Delbo, M., Hora, J. L., et al. 2011, AJ, 141, 109 [NASA ADS] [CrossRef] [Google Scholar]
- Müller, T., Lellouch, E., & Fornasier, S. 2020, in The Trans-neptunian Solar System, eds. D. Prialnik, M. A. Barucci, & L. A. Young, 153 [CrossRef] [Google Scholar]
- Peixinho, N., Thirouin, A., Tegler, S. C., et al. 2020, in The trans-neptunian solar system, eds. D. Prialnik, M. A. Barucci, & L. A. Young, 307 [CrossRef] [Google Scholar]
- Poston, M. J., Mahjoub, A., & Ehlmann, B. L. 2018, ApJ, 856, 124 [NASA ADS] [CrossRef] [Google Scholar]
- Rauer, H., Helbert, J., Arpigny, C., et al. 2003, A&A, 397, 1109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ridden-Harper, R., Bannister, M. T., & Kokotanekova, R. 2021, RNASS AAS, 5, 161 [NASA ADS] [Google Scholar]
- Roth, N. X., Milam, S. N., Cordiner, M. A., et al. 2021, ApJ, 921, 14 [NASA ADS] [CrossRef] [Google Scholar]
- Rousseau, B., Erard, S., Beck, P., et al. 2018, Icarus, 306, 306 [CrossRef] [Google Scholar]
- Schambeau, C. A., Fernández, Y. R., Samarasinha, N. H., et al. 2021, PSJ, 2, 126 [NASA ADS] [Google Scholar]
- Spencer, J. R., Lebofsky, L. A., & Sykes, M. V. 1989, Icarus, 78, 337 [Google Scholar]
- Stansberry, J. A., van Cleve, J., Reach, W. T., et al. 2004, ApJS, 154, 463 [NASA ADS] [CrossRef] [Google Scholar]
- Szabó, Gy. M., Sárneczky, M., & Kiss, L, L. 2008, ApJ, 677, L121 [CrossRef] [Google Scholar]
- Szabó, Gy. M., Sárneczky, M., & Kiss, L. L. 2011, A&A, 531, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Szabó, Gy. M., Kiss, L. L., Pál, A., et al. 2012, ApJ, 761, 7 [CrossRef] [Google Scholar]
- Wong, I., Mishra, A., & Brown, M. E. 2019, AJ, 157, 225 [Google Scholar]
- Zakharov, V. V., Ivanovski, S. L., Crifo, J.-F., et al. 2018, Icarus, 312, 121 [NASA ADS] [CrossRef] [Google Scholar]
Appendix A: Absolute flux calibration
A good knowledge of the calibrators is critical for the reliability of the flux scale. Our flux (bandpass) calibrators, J2258-2758 and J0519-4546 for the first and second SB, respectively, are variable but routinely monitored from ALMA8, mostly at 91.5, 103.5, and ∼ 340 GHz (337.5 or 343.5 GHz), and for the second one occasionally at 233 GHz. These measurements are displayed in Fig. A.1 over a period of ∼100 days that spans our observing period. We fitted the 91.5, 103.5, and ∼ 340 GHz fluxes with five-degree polynomials, from which the spectral index over this frequency range and the 233 GHz flux was determined as a function of time. Interpolation on the date of our observation then yielded the desired quasar 233 GHz flux. This approach, illustrated in Fig. A.1, yielded 1.26 Jy for J0519-4546 and 1.20 Jy for J2258-2758 on August 8, 2021. For the latter object, the value is also nicely consistent with the few available 233 GHz measurements. Moreover, J2258-2758 is also monitored at ∼225.5 GHz from the Submillimeter Array (SMA) 9. Interpolating between 225.5 GHz measurements from July 6, July 9, and August 17, 2021, and applying a spectral index of -0.68 (see Fig. A.1) leads to a 233 GHz flux of 1.24 Jy, which compares well with the above 1.20 Jy value. We finally adopt a 1.22 Jy flux for J2258-2758, with an estimated 2 % uncertainty.
Fig. A.1. Flux measurements of the two flux (bandpass) calibrators over a period of ∼100 days that spans our observation period. These measurements, color-coded by frequency, are taken from the ALMA Calibrator Source Catalogue at 91.5, 103.5, and 337.5 or 343.5 GHz. The solid lines are polynomial fits, from which spectral indices and the 233 GHz flux as a function of time are inferred. In the case of J2258-2758, a few direct 233 GHz measurements are also available and plotted. The dashed line, labelled “|spix|,” shows the absolute value of the spectral index. The vertical bar corresponds to the date of the 2014 UN271 observations. |
As indicated in the main text, each of the two SBs used the same phase calibrator, J0253-5441. This calibrator is not monitored in terms of flux at ALMA. However, calibrating the visibilities on each flux calibrator yielded two independent measurements of its flux, namely 0.374 and 0.389 Jy for the two SBs (Table 1). We adopt the relative difference, 4 %, as a conservative estimate on the absolute calibration uncertainty. This uncertainty is dwarfed by the S/N-limited error bar on the 2014 UN271 flux, equivalent to 9 %, but was taken into account in the final error bar.
Appendix B: Dust signal estimation
We estimated the coma flux density at 233 GHz in the ALMA 0.067″×0.062″ synthesized beam on the basis of reported optical aperture photometry. In practice, we used the Afρ value of ∼ 150 m deduced from the observations of C/2014 UN271 on June 29, 2021 (rh = 20.15 ua; Dekelver 2021, see also Bernardinelli et al. 2021b). The Afρ parameter, where A and f are the grain albedo and the filling factor of the instrument field of view with projected radius ρ, is independent of ρ if the line of sight column density falls off as 1/ρ, as expected for steady and isotropic dust production (A’Hearn et al. 1984). The Afρ parameter is proportional to the dust production rate, with a coefficient of proportionality that depends on the particle size and velocity distributions. Both the independence on ρ and the increase in Afρ as 2014 UN271 approached the Sun from 28 to 20 au is consistent with Afρ measuring the actual activity rate of the comet (Bernardinelli et al. 2021b).
Our estimation of the coma flux density at 233 GHz is based on two steps: (1) the determination of the dust production rate, Qd, from the measured Afρ using the Mie scattering calculations of Fink & Rubin (2012); and (2) the computation of the dust thermal emission using the model of Bockelée-Morvan et al. (2017), also using Mie theory. Calculations were made for size distributions given by dQd(a)/da ∝a−β, where a is the particle radius and β is the size index. We considered a minimum size of 0.01 μm and maximum sizes, amax, of 10 μm and 1 cm.
B.1. Dust production rate
Fink & Rubin (2012) provide the Qd/Afρ ratio (kg s−1 / m) for particle sizes in the range 0.01 μm – 1 cm and various size index values. Their calculations were made for a refractive index n = 2.00 + 0.10i, a phase angle ϕ = 40°, and particle velocities following v(a) = 0.1423 a−0.5 m/s, a being the particle radius in m (v = 142.3 m/s for a= 1 μm). We rescaled Qd/Afρ to a phase angle of 3°, assuming a phase function ratio p(ϕ = 3°)/p(ϕ = 40°) = 2.42. This value matches the composite phase function of D. Schleicher10 and is in the range of the values obtained from Mie calculations (Fink & Rubin 2012). We also rescaled Qd/Afρ to a velocity distribution v(a) = 0.083 a−0.5 m/s. Indeed, based on Crifo & Rodionov (1997), we derived v = 83 m/s for a = 1 μm for 2014 UN271, using a nucleus radius of 68 km, nucleus and dust densities of 500 kg m−3 and 1000 kg m−3, respectively, and a CO production rate of 4×1028 mol s−1 emitted in a cone of 45° half aperture. The assumed CO production rate (1860 kg −1) is reasonable but somewhat arbitrary. An upper limit of 2×1028 mol s−1 was derived from 4.6 μm NEOWISE observations at rh = 20.92 ua (Farnham et al. 2021). Moreover, extrapolating the CO production rate of ∼ 4 ×1027 mol s−1 of comet C/1995 O1 (Hale-Bopp) measured at rh = 14 au (Biver et al. 2002) (assuming a dependence) and correcting for the different nucleus sizes (37 km radius for Hale-Bopp; Szabó et al. 2012) yields an expected CO production rate at rh = 20 au for C/2014 UN271 of ∼ 7×1027 mol s−1. Using the nominal CO production rate of 4×1028 mol s−1, the rescaled Qd/Afρ ratio and the derived dust production rate Qd for C/2014 UN271 are given in Table B.1 for size indices of 3, 3.5, and 4, given the measured Afρ of 150 m (Dekelver 2021).
Although we considered amax of 10 μm and 1 cm to be conservative, the large size of C/2014 UN271 makes the release of large particles unlikely. With the adopted CO gas production rate of 4×1028 mol s−1, we estimated a maximum liftable size of 8 μm following Zakharov et al. (2018). For a CO production rate of 7×1027 mol s−1, the maximum liftable size is only 1.3 μm. Calculations for amax = 1.3 μm were not performed, but that case would obviously lead to even smaller dust production rates and thermal flux densities than those reported in Table B.1 for amax = 10 μm.
C/2014 UN271 dust mass loss rate and flux density in ALMA beam.
B.2. Thermal flux of the dust
To compute the expected dust emission at millimeter wavelengths, we then used the model described in Bockelée-Morvan et al. (2017), which computes the wavelength-dependent absorption coefficient and the temperature of the dust particles as a function of grain size, using Mie theory combined with an effective medium theory, allowing mixtures of different materials to be handled. We considered a matrix of amorphous carbon with inclusions of amorphous olivine with a Fe:Mg composition of 50:50 and set the carbon/olivine mass ratio to unity. This model has also been used to analyze ALMA/Atacama Compact Array (ACA) observations observations of C/2015 ER61 (Pan-STARRS) and mid-infrared data of comet 29P/Schwassmann-Wachmann (Roth et al. 2021; Schambeau et al. 2021). The dust local density is described as in Fink & Rubin (2012), following a 1/(r2v(a)) law, where r is the distance to nucleus. The flux density was computed by summing the blackbody thermal emission of individual particles over the size range and field of view, weighted by the particle size distribution. For consistency with the model of Fink & Rubin (2012), the dust density was taken equal to 1000 kg m−3. The computed flux densities in a Gaussian beam of half-power beam width (HPBW) = 0.064" (corresponding to the ALMA synthesized beam) are given in the last column Table B.1 and shown in Fig. B.1. We note that the derived flux values are not dependent on the adopted scaling constant in the dust velocity law, since the same velocity law is used for the Qd/Afρ and flux calculations.
Fig. B.1. Expected flux density at 233 GHz from dust thermal emission, based on the measured Afρ of 150 m at 20.15 ua (Dekelver 2021; Bernardinelli et al. 2021b). The beam width is 0.064″. Results are presented for a size index of 3, 3.5, and 4 and for maximum dust sizes of 10 μm (red dots) and 1 cm (black dots). See text for details. The dashed blue line shows the upper limit derived from ALMA observations. |
B.3. Visibility curve for dust thermal emission
For comparison with the measured visibility curve (Fig. 2), we also calculated the dust signal in terms of the visibility flux at 220 kλ. In their Appendix A, Bockelée-Morvan et al. (2010) provide formulas describing how the amplitude of the visibility, V, varies as a function of UV radius, σ, for a brightness distribution varying as 1/ρ. This includes the formula for the visibility at σ = 0 m, corresponding to the signal in the primary beam. The formulas are given for molecular lines but can be applied to the dust coma by adjusting the factors describing the emission mechanism. From Eqs. A.3 and A.4 of Bockelée-Morvan et al. (2010):
for σ/Dbeam ≫ 0.2, where Dbeam is the HPBW of the primary beam, and
where Φbeam is the HPBW of the primary beam, this time in radians11. Here, K is a constant that incorporates factors related to the emission mechanism and the distance of the comet to the observer. Equation B.2 is derived from Eq. A.4 of Bockelée-Morvan et al. (2010), here with the assumption of a Gaussian beam. Equation B.2 can also be used for the signal in the synthesized interferometric beam, Fsynth, replacing Φbeam with the angular size of synthesized beam, Φsynth. Hence,
From this formula, the visibility flux at 220 kλ from the dust coma is 4.40 times the flux in a 0.064″ beam.
Based on Table B.1 and Fig. B.1, it appears that in virtually all cases the expected thermal emission of dust is entirely negligible. Only in one case (size index β = 3, amax = 1 cm) does the dust contribution amount to ∼12 % of the measured signal in the interferometric beam 12. Another way of seeing it is that this extreme case corresponds to a visibility of 0.015 × 4.4 = 0.066 mJy at 220 kλ, well within the 3σ measured upper limit of 0.1 mJy. The latter value corresponds to an upper limit of the dust contribution to the synthesized beam flux of 0.1 / 4.4 = 0.023 mJy, which is plotted in Fig. B.1. We note finally that although Farnham et al. (2021) argued that the coma of 2014 UN271 consists mostly of submillimeter-sized particles emitted at low velocities, this does not appear consistent with our estimate of the maximum liftable size. Even if this were the case, the contribution of the coma to the thermal flux would be negligible, based on the interpolation between the amax = 1 cm and amax = 10 μm cases in Table B.1 and Fig. B.1.
All Tables
All Figures
Fig. 1. Re-centered 233 GHz total image of 2014 UN271, merging data from the two SBs and the four spectral windows. The synthesized beam, shown in white, is 0.067″ × 0.062″. The scale of the color bar is in mJy. |
|
In the text |
Fig. 2. Real part of the visibilities, averaged in 400-meter UV radius bins, compared to various models: (i) point source, (ii) disks with apparent sizes of 9.5, 20, 40, and 60 mas, and (iii) sum of a point source and a coma. The visibilities are rescaled to 233 GHz, and the UV radii are expressed in terms of the wavelength (kilo-λ). The dashed orange curve indicates the strongest coma signal that can be accommodated by the data. |
|
In the text |
Fig. 3. Diameter and R albedo distribution of solutions. The red line shows the central values. Blue, green, and black curves show the distributions associated with flux uncertainties, model uncertainties, and both, respectively. For an easier comparison, all distributions are rescaled to peak at 10 000. |
|
In the text |
Fig. A.1. Flux measurements of the two flux (bandpass) calibrators over a period of ∼100 days that spans our observation period. These measurements, color-coded by frequency, are taken from the ALMA Calibrator Source Catalogue at 91.5, 103.5, and 337.5 or 343.5 GHz. The solid lines are polynomial fits, from which spectral indices and the 233 GHz flux as a function of time are inferred. In the case of J2258-2758, a few direct 233 GHz measurements are also available and plotted. The dashed line, labelled “|spix|,” shows the absolute value of the spectral index. The vertical bar corresponds to the date of the 2014 UN271 observations. |
|
In the text |
Fig. B.1. Expected flux density at 233 GHz from dust thermal emission, based on the measured Afρ of 150 m at 20.15 ua (Dekelver 2021; Bernardinelli et al. 2021b). The beam width is 0.064″. Results are presented for a size index of 3, 3.5, and 4 and for maximum dust sizes of 10 μm (red dots) and 1 cm (black dots). See text for details. The dashed blue line shows the upper limit derived from ALMA observations. |
|
In the text |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.