2020
DOI: 10.3389/fphy.2020.00227
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The Dust-to-Gas Ratio, Size Distribution, and Dust Fall-Back Fraction of Comet 67P/Churyumov-Gerasimenko: Inferences From Linking the Optical and Dynamical Properties of the Inner Comae

Abstract: In this work, we present results that simultaneously constrain the dust size distribution, dust-togas ratio, fraction of dust re-deposition, and total mass production rates for comet 67P/Churyumov-Gerasimenko. We use a 3D Direct Simulation Monte Carlo (DSMC) gas dynamics code to simulate the inner gas coma of the comet for the duration of the Rosetta mission. The gas model is constrained by ROSINA/COPS data. Further, we simulate for different epochs the inner dust coma using a 3D dust dynamics code including g… Show more

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Cited by 45 publications
(23 citation statements)
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“…For H 2 O, we obtained a steeper slope before perihelion than after with α values of -4.2 and -3.6 respectively. The value before perihelion is consistent with previous studies based on measurements analyses (values between -3.8 to -7.0) while our results after perihelion is lower (values between -4.3 to -7.1) (Hansen et al, 2016, Marshall et al, 2017, 2020a, Shinnaka et al, 2017, Läuter et al, 2019. Our slopes match the observations better than the significantly lower slope (about -2.8 for the model A) provided by the thermal model of Keller et al (2015b).…”
Section: Global Production Ratessupporting
confidence: 93%
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“…For H 2 O, we obtained a steeper slope before perihelion than after with α values of -4.2 and -3.6 respectively. The value before perihelion is consistent with previous studies based on measurements analyses (values between -3.8 to -7.0) while our results after perihelion is lower (values between -4.3 to -7.1) (Hansen et al, 2016, Marshall et al, 2017, 2020a, Shinnaka et al, 2017, Läuter et al, 2019. Our slopes match the observations better than the significantly lower slope (about -2.8 for the model A) provided by the thermal model of Keller et al (2015b).…”
Section: Global Production Ratessupporting
confidence: 93%
“…These values are in agreement with results and uncertainties obtained during the Rosetta mission (Fulle et al 2016a, Langevin et al 2016, Merouane et al 2017, Choukroun et al 2020, Marschall et al 2020a) and imply a limited amount of particles greater than 1 cm (Marschall et al 2020a). However, a single power law may not fit properly the data over the whole dust size range and it should be noticed that while large particles are not abundant, they might represent most of the dust mass (Fulle et al 2016).…”
Section: J O U R N a L P R E -P R O O Fsupporting
confidence: 91%
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“…Now the main problem is not the general simulation of the dusty gas flows but rather the derivation of the boundary conditions via fitting of simulations to the available observational data (e.g. Bieler et al 2015a;Fougere et al 2013Fougere et al , 2016bMarschall et al , 2017Zakharov et al 2018a;Combi et al 2020;Marschall et al 2020b). We discuss this link of the nucleus surface (i.e.…”
Section: The Development Of Multidimensional Cometary Gas and Dust Momentioning
confidence: 99%
“…Finally, linking gas and dust models as done e.g. by Marschall et al (2020b) for the entire Rosetta mission fitting ROSINA and OSIRIS data allows for a comprehensive look at the dust and gas mass loss. They found that a power-law of q = 3.7 +0.57 −0.078 for the dust size distribution is consistent with the data and in line with independent measurements previously reported by COSIMA and GIADA .…”
Section: Similarities and Differences Of Models Of 67pmentioning
confidence: 99%