Free Access
Volume 644, December 2020
Article Number A143
Number of page(s) 7
Section Planets and planetary systems
Published online 11 December 2020

© ESO 2020

1 Introduction

The ESA/Rosetta mission was the first mission to approach and follow a comet for a large part of its orbit, and to land on its nucleus. The Rosetta orbiter and the Philae lander were equipped with a series of instruments meant for in situ studies of the gas and dust coma surrounding comet 67P/Churyumov-Gerasimenko (hereafter, 67P) and the properties of its nucleus. The mission provided unprecedented insights into the structure, composition, and activity evolution of 67P, as well as comets in general (Taylor et al. 2017).

To complement the mission, an ambitious ground-based campaign was set up, with dozens of telescopes across the globe and in space performing observations of the comet at the same time as the Rosetta mission (Snodgrass et al. 2017a). These observations probed the large-scale coma of 67P and provided context for the measurements performed by the Rosetta mission. More importantly, they provide a link to ground-based observations of a large number of comets that have been performed over the last century. As part of this campaign, observations were performed with the Multi Unit Spectroscopic Explorer (MUSE) instrument at the Very Large Telescopes (VLT). The observations were performed in March 2016, after the comet’s perihelion passage, when the comet was moving away from the Sun. In this paper, we present the results of the MUSE observations of comet 67P.

2 Observations and data reduction

MUSE is an integral field unit spectrograph mounted on the UT4 telescope of the VLT in Chile (Bacon et al. 2010), nominally covering the 480–930 nm range. In the wide field mode, which was used for our observations, MUSE has a field of view (FoV) of 1′ × 1′ covered without gaps. The instrument has a platescale of 0.2′′ pix−1 and a spectral resolving power between 1770 (at 480 nm) and 3590 (at 930 nm). Observations of comet 67P were performed between 2016 March 3 and March 7. In total, 38 datacubes were obtained over five nights. For four of those cubes, the comet was not visible, or very badly centred, so we discarded their data. The sky during those five nights was either clear or photometric, but the seeing was variable, ranging between 0.6 and 2.3′′. For all observations, we used an exposure time of 600 s, and the position angle of the instrument was set to 0° (we did not apply any rotation between the exposures). At the time of the observations, even though the comet was still active, and thus extended, it did not fill the entire MUSE FoV. Because of this, no dedicated sky observations were performed. The observing circumstances are presented in Table 1.

The data reduction was performed using the ESO pipeline (Weilbacher et al. 2016), with the sky estimated from regions near the edge of the cubes that are free from comet contamination. In addition to the cube reconstruction, bias subtraction, flatfield correction, wavelength calibration, and sky subtraction, the ESO MUSE pipeline also corrects for the telluric absorption and flux-calibrates the science data, using a standard star observed the same night as the science observations.

Even though the sky was estimated directly on the science cubes and subtracted by the pipeline, while examining the reduced cubes we noticed relatively strong sky residuals. In order to reduce those, we then used the ZAP (Zurich Atmosphere Purge) software (Soto et al. 2016). ZAP is a principal component analysis-based software that is designed to perform sky subtraction on integral field unit (IFU) data. The use of ZAP allows us to remove most of the sky residuals left after the pipeline reduction. As we discuss later in this paper, we also performed a full data reduction without applying any sky subtraction in order to search for forbidden oxygen emission lines in the coma of 67P.

As mentioned previously, the ESO pipeline performs a correction of the telluric absorption using a standard star observed on the same night as the science data. However, the standard stars are primarily used for flux calibration and are not optimal for telluric correction. Also, they are not always observed just after the science observationsnor at the same airmass. Because of this, in the reduced cubes, there are residuals of the strong O2 telluric band around 760 nm when the telluric correction is performed with the pipeline. For all of the analysis focused on the 2D structure of the dust coma, and the detection of forbidden oxygen lines, this does not impact the quality of our measurements since those residuals are relatively constant over the field and we extracted the cubes over wavelength ranges that mostly avoid that region of the spectrum. However, in Sect. 3.1, we focus on the spectrum of the dust in the coma of 67P and, thus, the residual from the telluric correction could impact the quality of the spectrum presented. For the spectra presented in that section, we used the Molecfit software (Smette et al. 2015; Kausch et al. 2015)to perform a better telluric correction. Molecfit has proven to be very useful to provide an accurate telluric correction even when dedicated observations of a standard star are not available. We applied Molecfit directly on the extracted 1D spectra. The fit of the telluric features was performed for each extracted spectrum individually.

Table 1

Observing circumstances of the 67P MUSE campaign.

3 Analysis

3.1 A reference dust spectrum

We first studied the spectrum of comet 67P over the optical range. To do so, we extracted all the data cubes over a five-pixel radius (1′′) aperture around the comet optocenter. We chose such a small aperture so as to focus on the part of the coma where the signal is the strongest and to avoid having strong sky residuals in the presented spectrum. After the extraction, the spectra were corrected for the telluric features using the Molecfit software, as explained above. All 34 spectra were then median-combined to produce a high quality spectrum of the dust in the coma of 67P. This spectrum is shown in the upper part of Fig. 1. We do not see any emission band in the spectrum because of the large heliocentric distance and low activity level of the comet at the time of the observations. In the same part of this figure, we show a reference solar spectrum obtained using the SOLar SPECtrometer (SOLSPEC) instrument of the SOLAR payload onboard the International Space Station (ISS, Meftah et al. 2018), which was re-sampled to match the sampling of the 67P spectrum. Given the aperture we chose is very small, the spectrum shown in Fig. 1 probably contains a non-negligible contribution from the nucleus. For the purposes of comparison, we also extracted the dust spectrum over a 10′′ aperture, in which the dust coma dominates (blue dashed curve in the top part of Fig. 1). The two spectra match well, except for a small difference around 880 nm. This region is severely affected by telluric absorption and has strong sky emissions, which might explain this difference. In general, we can say that the spectrum extracted over the 1′′ aperture is representative of the coma dust and we limit our discussion to this spectrum in the following text.

In the bottom part of Fig. 1, we divide the comet spectrum by the solar reference spectrum to compute the relative reflectance of the dust in the coma of 67P. The reflectance spectrum is normalised at 600 nm. Overlaid to the reflectance spectrum measured with MUSE, we have the reflectance measured using the X-shooter spectrograph in November 2014 over the same wavelength range (Snodgrass et al. 2016). The reflectance spectra measured inNovember 2014 and March 2016 are consistent with each other, indicating that the dust reflectance as measured from the ground is similar at large heliocentric distance pre- and post-perihelion. We do not see any sign of absorption bands in the optical spectrum of 67P. We measure a spectral slope for the reflectance, or dust reddening, of 10%∕100 nm in the 480–900 nm interval. We also notice that the slope becomes shallower at longer wavelengths. We measure a slope of 13%∕100 nm in the 500–700 nm interval but only of 5%∕100 nm in the 700–900 nm interval. This is fully consistent with what was reported in X-shooter observations performed in 2014, where values between 10%∕100 nm and 20%∕100 nm were given in the 550 to 1000 nm interval, with the shallower values corresponding to the red end of the wavelength range.

Our measurements are also consistent with in situ measurements of the dust from the ESA/Rosetta mission. Bertini et al. (2017) report a reddening in the interval 376–744 nm ranging between 11 and 14%∕100 nm from measurements with the OSIRIS cameras. Similarly, La Forgia et al. (2019) report slopes measured in the inner coma ranging from 12 to 16%∕100 nm between 480 and 649 nm. Those slopes are similar to those measured for the nucleus of 67P, both from in situ and ground-based observations. Fornasier et al. (2015) report average slopes of 11−16%∕100 nm over 250−1000 nm with shallower slopes toward longer wavelengths, from observation of 67P’s nucleus with the Rosetta/OSIRIS camera. From ground-based observations, Tubiana et al. (2011) measure a slope for the nucleus of 12 ± 1%∕100 nm over 430−850 nm and slightly shallower in the 500−850 nm range. Finally, the dust reddening measured in the coma of 67P is consistent with what is measured usually in the coma of active comets, typically between 0 and 20%∕100 nm, and with a shallower slope towards the near-IR (Solontoi et al. 2012; Jewitt & Meech 1986).

thumbnail Fig. 1

Top: spectrum of 67P dust coma (black) together with the solar spectrum used to compute the reflectance spectrum (red). The blue dotted line is the spectrum extracted over a 10′′ aperture. The solar spectrum has been shifted arbitrarily over the y-axis for better visibility. Bottom: relative reflectance spectrum of 67P (black), compared to the one measured with X-shooter in November 2014 (red; Snodgrass et al. 2016).

3.2 Dust coma morphology and activity

For each cube in our dataset, we extracted maps over the bandpasses of the V, R, and I Johnson-Cousins filters. All maps in the same bandpass were re-centred and then co-added. The resulting co-added maps are displayed in the top part of Fig. 2. The dust coma morphology is the same for all three bandpasses. It is asymmetrical, likely due to the presence of dust jets. To investigate the presence of jets further, we divided the dust maps by an azimuthal median profile (Samarasinha et al. 2013). Enhanced maps are displayed on the bottom part of Fig. 2. Here, we can clearly see two jets, which are most likely the cause of the apparent asymmetry of the dust coma. The first jet is located close to the anti-sunward direction, towards the south-west. The second jet is located about 90° away, towards the south-east. Finally, we see a faint feature towards the sunward direction. Those jets are consistent with what was observed on previous passages and what is reported by Knight et al. (2017) and Snodgrass et al. (2017a) from observations at the same epoch. They are also consistent with the modelling of the pole orientation and active region location done by Vincent et al. (2013) prior to the Rosetta mission. In addition to the two jets mentioned above, we see an enhancement towards the North-West. This corresponds to the dust trail that was reported to be at least two degrees long at that epoch (Snodgrass et al. 2017a; Boehnhardt et al. 2016; Knight et al. 2017). We do not see changes of the coma morphology over the five nights of our observations, nor over a single night.

To constrain the comet activity at that time, we compute the Afρ value, which is a proxy for dust production, as defined by A’Hearn et al. (1984). We compute the Afρ for the V, R, and I bands over a 2500 km physical aperture. We use a 2500 km aperture instead of the more commonly used 10 000 km aperture because the comet signal drops significantly at 10 000 km. We obtain values of 65 ± 4 cm, 75 ± 4 cm, and 82 ± 4 cm in the V, R, and I bands, respectively. Those values have not been corrected for the phase angle effect and are consistent with those reported by Boehnhardt et al. (2016) at the same epoch, and they are comparable (even though slightly lower) to those reported by Knight et al. (2017) once the phase angle effect is taken into account. Using the Afρ values in the different bands, we can also compute the dust reflectivity gradient defined as (Jewitt & Meech 1986):

where Afρx and the corresponding wavelength λx are expressed in cm and nm, respectively. For the IV combination, this gives a reflectivity gradient of 7 ± 1%∕100 nm, while it is of 11 ± 2%∕100 nm for the RV and 7 ± 1%∕100 nm for the IR combination. This confirms the trend outlined in Sect. 3.1 of higher reflectivity gradient at lower wavelengths. To check for trends with the aperture size, we computed the Afρ in apertures of 5000, 7500, and 10 000 km. Within the error bars, we do not see significant changes in the Afρ or reflectivity gradient values with the aperture size in our data, as expected for a steady-state coma.

thumbnail Fig. 2

Top: Combined maps of 67P in V, R, and I bands. The maps are centred on the comet and the FoV is 1′ × 1′. Bottom: V, R, and I maps enhanced by dividing by an azimuthal median profile (Samarasinha et al. 2013).

3.3 Gas detection

Among the features usually observed in the optical spectrum of comets, the oxygen forbidden line at 630 nm is one of the brightest. There are three forbidden oxygen lines that can be detected in the coma of comets at optical wavelengths: the green line at 557.7 nm and the red doublet at 630 and 636.4 nm. Those lines are emitted by the decay of oxygen atoms in a metastable (1 D) or (1 S) state. Exited atomic oxygen is mainly produced through the photo-dissociation of H2 O, CO, CO2, or even O2 (see e.g. Cessateur et al. 2016). Observing forbidden oxygen lines then represents an opportunity to constrain the production of those potential parent species from optical observations. However, the cometary forbidden oxygen lines are often blended with the equivalent atmospheric lines, unless observed at high spectral resolution.

The spectral resolution of MUSE does not allow us to resolve the telluric and cometary lines for the geocentric velocity of comet 67P at the time of our observations. In theory, the sky subtraction should subtract the atmospheric contribution, allowing us to recover the cometary signal. However, the noise introduced by the subtraction of the very strong atmospheric features prevents us from detecting any cometary forbidden oxygen emission lines. At the time of our observations, the comet was at 2.5 au post-perihelion and was only weakly active, as confirmed by the fact that we do not detect any emission lines in the spectrum presented inFig. 1. If the oxygen lines are present, they are thus very faint and masked by the noise introduced by the sky subtraction.

Therefore, we attempted to detect the forbidden oxygen lines using another method. We reduced the full dataset without performing any sky subtraction. For each spaxel of each cube, we then subtracted the continuum sky contributionand the dust contribution underlying the oxygen forbidden lines by defining continuum region on both sides of the red doublet and the green oxygen lines, fitting a line through those regions and subtracting it. Finally, we extracted the datacubes over a very narrow wavelength range centred on the wavelength of the three oxygen lines. In low and medium resolution spectra, forbidden oxygen lines can be contaminated by NH2 or C2 lines, but this is highly unlikely in the case of these observations since the comet is weakly active and no emission lines are detected in Fig. 1. The result of this process is maps of the flux contained in the forbidden lines at 557.7, 630, and 636.4 nm over the whole MUSE FoV. Since the atmospheric and cometary lines cannot be resolved by MUSE, the maps contain the sum of the atmospheric and potential cometary contribution. All the maps are re-centred so that the optocenter of the comet is placed at the same position. We average all 34 maps for each line, performing a 3-σ clipping. The result in shown in Fig. 3.

In those maps, we expect the atmospheric contribution to be relatively uniform over the 1′ × 1′ FoV of MUSE. The cometary contribution, on the other side, would be concentrated around the optocenter of the comet, with a limited spatial extension since the states responsible for the emission lines are metastable states. In Fig. 3, we can see that for the 557.7 and 636.4 nm lines, the maps are mostly uniform over the whole FoV. Small variations are observed but they most likely come from non-optimal corrections of the detector-to-detector effects. We thus conclude that the signal in those maps comes from the atmospheric oxygen lines. In the 630 nm map, however, in addition to inhomogeneities similar to those seen in the other two maps, we have a clear over-density located around the position of the comet optocenter. This indicates that in addition to the atmospheric line, we detect a signal from the cometary forbidden oxygen line at 630 nm. It is not surprising that we only detect the 630 nm line since it is the strongest of the three oxygen lines. The signal we measure in the comet aperture for the 630 nm map is barely 3-σ above the sky background variation (measured from four adjacent sky apertures, see more later in this paper). Since the ratio between the 630 nm and 636.4 nm maps is expected to be three (as it is the case for the background in the two maps, see Fig. 3), this is then consistent with the fact that we do not detect significant cometary signal in the 636.4 nm map. We note that the [OI] cometary signal is enhanced towards the south, similarly to what is observed for the dust. However, we do not believe the signal is due to residuals from the dust continuum. Indeed, the technique used for the dust subtraction is the same for all three lines and it is only the 630 nm map (with the strongest oxygen feature) that shows an over-density around the optocenter. Control maps built using a wavelength range adjacent to the 630 nm line do not show a similar signal.

The cometary signal we detect in the 630 nm map is faint, but we use this signal to estimate the water production rate of the comet at that time. The 630 nm line comes from the decay of atomic oxygen in (1 D) state. As mentioned before, oxygen in that state is mainly produced by the photo-dissociation of H2 O, CO, CO2, or O2. For comets at 1 au from the Sun, H2O photodissociation is the dominant source for producing metastable oxygen, but at distances above 2.5 au, other molecules such as CO and CO2 start to contribute (Decock et al. 2013; McKay et al. 2015). Long-term measurements of the production rate of all four species of interest derived from the ROSINA instrument onboard Rosetta are presented by Laeuter et al. (2020) and Combi et al. (2020). At the time of our observations, the CO and O2 production rates are more than a factor of ten and 100 lower than that of H2 O, respectively.We can thus assume that those species will contribute little to the production of metastable oxygen. The CO2 production rate is only about a factor of two to four lower than the H2 O production rate. The emission rate for O(1D) production from CO2 is 1.5 times higherthan that of H2O (Bhardwaj & Raghuram 2012). Taking this into account, a significant part (up to half) of O(1 D) atoms could be produced by the photo-dissociation of CO2. For the measurements presented below, we assume that water is the main source for the production of metastable oxygen, thus, the water production rate we derive might be overestimated.

In orderto derive water production rates, we follow the procedure described in Schultz et al. (1992) and Morgenthaler et al. (2001). We consider a photo-chemical model that includes the following three reactions, (1) (2) (3)

and the water production rate is given by:

where BR1and BR2 are the branching ratios for reactions (1) and (2) (Huebner et al. 1992)(equal to 0.05 and 0.855 for the quiet Sun, respectively) and BR3 is the branching for reaction (3) from Morgenthaler et al. (2001) (equal to 0.094). The production rate of oxygen atoms in (1 D) state, Q([OI]), can be obtained from:

where Δ is the comet geocentric distance (in cm), I630 is the intensity of the [OI] emission (in photons s−1 cm−2) and AC is the aperture correction factor correcting for the [OI] emission not encompassed in the aperture.

We measure the comet flux in the 630 nm map using a 25 pixels (5′′) radius circular aperture centred on the comet optocentre. In order to measure and subtract the sky flux, we measure the flux in four 5′′ apertures located at four different positions with respect to the comet optocenter ((+50 pix,+50 pix), (+50 pix, –50 pix), (–50 pix,+50 pix), (–50 pix,–50 pix)), then we compute the average and subtract it from the flux measured in the comet aperture. Given the faintness of the cometary emission, the main uncertainty in the determination of the water production rate comes from the measurement of the sky. To estimate this uncertainty, we used the upper and lower values measured in the individual sky apertures. The resulting intensity of the comet 630 nm line is 1.8 ± 1.0 × 10−3 photons cm−2 s−1. The aperture we used encompasses all the visible emission from the comet, so that we set the aperture correction factor to 1. This results in a water production rate of 1.5 ± 0.7 × 1026 molec s−1. This represents the actual water production rate only if all the oxygen atoms in (1 D) state are produced by the photo-dissociation of water.

No other measurement of the comet water production rate was reported from ground-based observations at a similar epoch because the comet was too faint and weakly active. In situ measurements made with the ROSINA DFMS instrument determined a water production rate around 2.3 × 1026 molec s−1 at the same heliocentric distance (Hansen et al. 2016). Similar values are reported by Combi et al. (2020) and Laeuter et al. (2020) using the same instrument. Biver et al. (2019) report a water production rate of 8.5 ± 2.5 × 1025 molec s−1 from measurements with the MIRO instrument. Given that CO2 could potentially contribute up to half of the 630 nm [OI] line brightness, the actual water production rate we measure could be as low as 0.7 × 1026 molec s−1, which is in very good agreement with the Biver et al. (2019) measurement. Given the difference in the methods, scale of the observations, and models used, our measurement is close to those reported using Rosetta instruments, in particular, the MIRO instrument.

thumbnail Fig. 3

Combined maps of the sky+comet flux at the wavelengths of the three forbidden oxygen lines at 557.7 nm (left), 630 nm (middle), and 636.4 nm (right). North is up, east is to the left, and the black arrow in the centre points to the position of the comet optocenter. The unit of the color bars is 10−20 erg s−1 cm−2.

thumbnail Fig. 4

Images of the nucleus of 67P taken by the OSIRIS instrument on-board Rosetta during the 19/02/2016 outburst and at thesame epoch as the MUSE observations presented here. Credit: ESA/Rosetta/MPS for OSIRIS Team MPS/UPD/LAM/IAA/SSO/INTA/UPM/DASP/IDA.

4 Discussion and conclusions

Comet 67P was observed with the MUSE IFU over five nights between 3 and 7 March 2016 when the comet was at 2.5 au from the Sun and 1.5 au from the Earth. The spectrum of the dust coma of 67P presented here is of high quality. It has a good signal-to-noise ratio given the faintness and the distance of the comet at the time of our observations. Thanks to the use of the Molecfit software, it is little affected by telluric features at near-IR wavelengths, which is not the case for most comet spectra in the 800–900 nm range. It matches very well with other ground-based observations of 67P, as well as with in situ measurements from the Rosetta spacecraft. It is also representative of what is usually observed for active comets in general. Finally, it does not contain gas emission features above the noise level (there is some [OI] signal present and merged with the sky line; see more below). For all those reasons, this spectrum could be used in the future as a “template” dust spectrum to help perform the subtraction of the dust-reflected continuum for observations of other comets with the MUSE IFU. This spectrum could replace the observation of solar analogues since, so far, very few good solar analogues have been observed with MUSE. Thedust reddening can vary from one comet to another, so this spectrum would need to be corrected from any slope difference between the target and 67P. Nonetheless, this dust-only spectrum of 67P represents a good tool to help in the analysis of future comet observations with MUSE. The morphology of the coma, the dust activity, and the dust reflectivity gradient as measured with MUSE are consistent with other measurements performed with ground-based telescopes at the same epoch as well as with in situ measurements from the Rosetta mission.

About two weeks before our observations, on 2 February 2016, an outburst was detected by several instruments on board the Rosetta orbiter (Grün et al. 2016). A similar but less intense event was also detected in NAVCAM images on 1 March 2016. Since the outburst(s) happened shortly before our observations, we could have expected to detect some indication of such an event in our observations, in terms of either the activity level or coma morphology. However, we did not detect any sign of the outburst in the MUSE data presented here. In Fig. 4, we show images obtained with the OSIRIS WAC on-board Rosetta. In the left part, gas jets are easily detected during the 19 February outburst. The right side shows the comet at the same epoch as our observations. No gas jets are visible. This is consistent with the comet having reverted back to a quieter state and the fact that we do not detect the outburst in the MUSE observations.

Through a careful reprocessing and separation of comet and sky signals spatially (rather than by resolving them spectroscopically), we detected the 630 nm forbidden oxygen line and derive a water production rate of 1.5 ± 0.7 × 1026 molec s−1 in the coma of 67P, if all [OI] atoms in (1D) state are produced by water. This value is consistent with the Rosetta measurements (Hansen et al. 2016; Combi et al. 2020; Laeuter et al. 2020; Biver et al. 2019). It is the only measurement of the water production rate of 67P at such a large heliocentric distance from remote observations. Ground-based detection of water (or water products) in the coma of 67P only happened close to perihelion (Snodgrass et al. 2017a), so this point is extremely valuable with regard to comparing measurements and models from the Rosetta spacecraft to ground-based measurements over a larger portion of the comet orbit. In general, detecting water at such low production rate for comets at 2.5 au from the Sun is extremely difficult (see e.g. discussion on water detection in Snodgrass et al. 2017b). In the past, MUSE had been shown to hold a great potential in the study of species parentage in the coma of brighter comets (Opitom et al. 2019). Our present work demonstrates the efficiency of MUSE in detecting low levels of water production around distant solar system bodies. This opens up future opportunities at a time when an intensive search for evidence of water ice in the main asteroid belt and elsewhere in the solar system is underway.


Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme 096.C-0160(A). Datasets of the ESA/Rosetta OSIRIS instrument have been downloaded from the ESA Planetary Science Archive. The authors acknowledge the OSIRIS Principal Investigator H. Sierks (MPS, Goettingen, Germany) and the OSIRIS Team for providing images and related datasets and the ESA Rosetta Project for enabling the science of the mission.


  1. A’Hearn, M. F., Schleicher, D. G., Millis, R. L., Feldman, P. D., & Thompson, D. T. 1984, AJ, 89, 579 [NASA ADS] [CrossRef] [Google Scholar]
  2. Bacon, R., Accardo, M., Adjali, L., et al. 2010, Proc. SPIE, 7735, 773508 [Google Scholar]
  3. Bertini, I., La Forgia, F., Tubiana, C., et al. 2017, MNRAS, 469, S404 [CrossRef] [Google Scholar]
  4. Bhardwaj, A., & Raghuram, S. 2012, ApJ, 748, 13 [NASA ADS] [CrossRef] [Google Scholar]
  5. Biver, N., Bockelée-Morvan, D., Hofstadter, M., et al. 2019, A&A, 630, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Boehnhardt, H., Riffeser, A., Kluge, M., et al. 2016, MNRAS, 462, S376 [CrossRef] [Google Scholar]
  7. Cessateur, G., de Keyser, J., Maggiolo, R., et al. 2016, J. Geophys. Res. Space Phys., 121, 804 [NASA ADS] [CrossRef] [Google Scholar]
  8. Combi, M., Shou, Y., Fougere, N., et al. 2020, Icarus, 335, 113421 [CrossRef] [Google Scholar]
  9. Decock, A., Jehin, E., Hutsemékers, D., & Manfroid, J. 2013, A&A, 555, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Fornasier, S., Hasselmann, P. H., Barucci, M. A., et al. 2015, A&A, 583, A30 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Grün, E., Agarwal, J., Altobelli, N., et al. 2016, MNRAS, 462, S220 [CrossRef] [Google Scholar]
  12. Hansen, K. C., Altwegg, K., Berthelier, J. J., et al. 2016, MNRAS, 462, S491 [Google Scholar]
  13. Huebner, W. F., Keady, J. J., & Lyon, S. P. 1992, Ap&SS, 195, 1 [NASA ADS] [CrossRef] [Google Scholar]
  14. Jewitt, D., & Meech, K. J. 1986, ApJ, 310, 937 [NASA ADS] [CrossRef] [Google Scholar]
  15. Kausch, W., Noll, S., Smette, A., et al. 2015, A&A, 576, A78 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Knight, M. M., Snodgrass, C., Vincent, J.-B., et al. 2017, MNRAS, 469, S661 [CrossRef] [Google Scholar]
  17. Laeuter, M., Kramer, T., Rubin, M., & Altwegg, K. 2020, ArXiv e-prints [arXiv:2006.01750] [Google Scholar]
  18. La Forgia, F., Lazzarin, M., Bodewits, D., et al. 2019, EPSC-DPS Joint Meeting 2019, EPSC–DPS2019–1442 [Google Scholar]
  19. McKay, A. J., Cochran, A. L., DiSanti, M. A., et al. 2015, Icarus, 250, 504 [NASA ADS] [CrossRef] [Google Scholar]
  20. Meftah, M., Damé, L., Bolsée, D., et al. 2018, A&A, 611, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Morgenthaler, J. P., Harris, W. M., Scherb, F., et al. 2001, ApJ, 563, 451 [NASA ADS] [CrossRef] [Google Scholar]
  22. Opitom, C., Yang, B., Selman, F., & Reyes, C. 2019, A&A, 628, A128 [CrossRef] [EDP Sciences] [Google Scholar]
  23. Samarasinha, N. H., Martin, M. P., & Larson, S. M. 2013, Cometary Coma Image Enhancement Facility, [Google Scholar]
  24. Schultz, D., Li, G. S. H., Scherb, F., & Roesler, F. L. 1992, Icarus, 96, 190 [NASA ADS] [CrossRef] [Google Scholar]
  25. Smette, A., Sana, H., Noll, S., et al. 2015, A&A, 576, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Snodgrass, C., Jehin, E., Manfroid, J., et al. 2016, A&A, 588, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Snodgrass, C., A’Hearn, M. F., Aceituno, F., et al. 2017a, Phil. Trans. R. Soc. London Ser. A, 375, 20160249 [Google Scholar]
  28. Snodgrass, C., Agarwal, J., Combi, M., et al. 2017b, A&ARv, 25, 5 [NASA ADS] [CrossRef] [Google Scholar]
  29. Solontoi, M., Ivezić, Ž., Jurić, M., et al. 2012, Icarus, 218, 571 [NASA ADS] [CrossRef] [Google Scholar]
  30. Soto, K. T., Lilly, S. J., Bacon, R., Richard, J., & Conseil, S. 2016, MNRAS, 458, 3210 [NASA ADS] [CrossRef] [Google Scholar]
  31. Taylor, M. G. G. T., Altobelli, N., Buratti, B. J., & Choukroun, M. 2017, Phil. Trans. R. Soc. London Ser. A, 375, 20160262 [Google Scholar]
  32. Tubiana, C., Böhnhardt, H., Agarwal, J., et al. 2011, A&A, 527, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Vincent, J. B., Lara, L. M., Tozzi, G. P., Lin, Z. Y., & Sierks, H. 2013, A&A, 549, A121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Weilbacher, P. M., Streicher, O., & Palsa, R. 2016, Astrophys. Source Code Libr. [record ascl:1610.004] [Google Scholar]

All Tables

Table 1

Observing circumstances of the 67P MUSE campaign.

All Figures

thumbnail Fig. 1

Top: spectrum of 67P dust coma (black) together with the solar spectrum used to compute the reflectance spectrum (red). The blue dotted line is the spectrum extracted over a 10′′ aperture. The solar spectrum has been shifted arbitrarily over the y-axis for better visibility. Bottom: relative reflectance spectrum of 67P (black), compared to the one measured with X-shooter in November 2014 (red; Snodgrass et al. 2016).

In the text
thumbnail Fig. 2

Top: Combined maps of 67P in V, R, and I bands. The maps are centred on the comet and the FoV is 1′ × 1′. Bottom: V, R, and I maps enhanced by dividing by an azimuthal median profile (Samarasinha et al. 2013).

In the text
thumbnail Fig. 3

Combined maps of the sky+comet flux at the wavelengths of the three forbidden oxygen lines at 557.7 nm (left), 630 nm (middle), and 636.4 nm (right). North is up, east is to the left, and the black arrow in the centre points to the position of the comet optocenter. The unit of the color bars is 10−20 erg s−1 cm−2.

In the text
thumbnail Fig. 4

Images of the nucleus of 67P taken by the OSIRIS instrument on-board Rosetta during the 19/02/2016 outburst and at thesame epoch as the MUSE observations presented here. Credit: ESA/Rosetta/MPS for OSIRIS Team MPS/UPD/LAM/IAA/SSO/INTA/UPM/DASP/IDA.

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.