PlanetProfile: Self-consistent interior structure modeling for terrestrial bodies in Python

Styczinski, Marshall J.; Vance, S.; Daswani, Mohit Melwani

doi:10.1002/essoar.10512890.1

Cited by 3 publications

(9 citation statements)

References 62 publications

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“…PlanetProfile is released under a GNU GPL-v3.0 license. The v2.3.17 release associated with this manuscript is archived at https://doi.org/10.5281/zenodo.8149094 (Styczinski et al, 2023b). A Zenodo archive of the output data for default models is available at https://doi.…”

Section: Data Availability Statementmentioning

confidence: 99%

“…A Zenodo archive of the output data for default models is available at https://doi. org/10.5281/zenodo.8149075 (Styczinski et al, 2022a). A Zenodo archive of models generated for comparison to Vance et al ( 2018) is available at https://doi.org/10.5281/zenodo.8149076 (Styczinski et al, 2022b).…”

Section: Data Availability Statementmentioning

confidence: 99%

“…org/10.5281/zenodo.8149075 (Styczinski et al, 2022a). A Zenodo archive of models generated for comparison to Vance et al ( 2018) is available at https://doi.org/10.5281/zenodo.8149076 (Styczinski et al, 2022b). The v1.0.0 release associated with Vance et al ( 2018) is archived at https://doi.org/10.5281/zenodo.844131 (Vance, 2017).…”

Section: Data Availability Statementmentioning

confidence: 99%

“…A Zenodo archive of the most recent version is available at https://doi. org/10.5281/zenodo.844130 (Styczinski et al, 2023a). PlanetProfile is released under a GNU GPL-v3.0 license.…”

Section: Data Availability Statementmentioning

confidence: 99%

“…A Zenodo archive of models generated for comparison to Vance et al. (2018) is available at https://doi.org/10.5281/zenodo.8149076 (Styczinski et al., 2022b). The v1.0.0 release associated with Vance et al.…”

Section: Data Availability Statementmentioning

confidence: 99%

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PlanetProfile: Self‐Consistent Interior Structure Modeling for Ocean Worlds and Rocky Dwarf Planets in Python

Styczinski,

Vance,

Melwani Daswani

2023

Earth and Space Science

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The open‐source PlanetProfile framework was developed to investigate the interior structure of icy moons based on collectively matching their observed properties and comparative planetology. The software relates observed and measured properties, assumptions such as the type of materials present, and laboratory equation‐of‐state (EOS) data through geophysical and thermodynamic models to evaluate radial profiles of mechanical, thermodynamic, and electrical properties, as self‐consistently as possible. We have created a Python version of PlanetProfile. In the process, we have made optimization improvements and added parallelization and parameter‐space search features to utilize fast operation for investigating unresolved questions in planetary geophysics, in which many model inputs are poorly constrained. The Python version links to other scientific software packages, including for evaluating EOS data, magnetic induction calculations, and seismic calculations. Physical models in PlanetProfile have been reconfigured to improve self‐consistency and generate the most realistic relationships between properties. In this work, we focus on the description of the software design and algorithms in detail, summarize model results for major moons across the outer solar system, and discuss new inferences about the interior structure of several bodies. The high values and narrow uncertainty ranges reported for the axial moments of inertia for Callisto, Titan, and Io are difficult to reconcile with the realistic physical and chemical approximations applied, requiring highly porous rock layers equivalent to incomplete differentiation for Callisto and Titan, and a high rock melt fraction for Io. Radial profiles for each model and comparison to prior work are provided as Zenodo archives.

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Section: Data Availability Statementmentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

“…A Zenodo archive of the most recent version is available at https://doi. org/10.5281/zenodo.844130 (Styczinski et al, 2023a). PlanetProfile is released under a GNU GPL-v3.0 license.…”

Section: Data Availability Statementmentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

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PlanetProfile: Self‐Consistent Interior Structure Modeling for Ocean Worlds and Rocky Dwarf Planets in Python

Styczinski,

Vance,

Melwani Daswani

2023

Earth and Space Science

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Low-Temperature Specific Heat Capacity of Water–Ammonia Mixtures Down to the Eutectic

Chua,

Gloesener,

Choukroun

et al. 2023

ACS Earth Space Chem.

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Robust thermodynamic data are essential for the development of geodynamic and geochemical models of ocean worlds. The water–ammonia system is of interest in the study of ocean worlds due to its purported abundance in the outer solar system, geological implications, and potential importance for origins of life. In support of developing new equations of state, we conducted 1 bar specific heat capacity measurements (C p) using a differential scanning calorimeter (DSC) at low temperatures (184–314 K) and low mass fractions of ammonia (5.2–26.9 wt %) to provide novel data in the parameter space most relevant for planetary studies. This is the first known set of data with sufficient fidelity to investigate the trend of specific heat capacity with respect to temperature. The obtained C p in the liquid phase domain above the liquidus generally increases with temperature. Deviations of our data from the currently adopted equation of state by Tillner-Roth and Friend[Tillner-RothR.FriendD. G. Tillner-Roth, R. Friend, D. G. J. Phys. Chem. Ref. Data1998276396 are generally negative (ranging from +1 to −10%) and larger at lower temperatures. This result suggests that suppression of the critical behavior of supercooled water (rapid increase in specific heat with decreasing temperature) by ammonia starts at a smaller concentration than that set by Tillner-Roth and Friend.[Tillner-RothR.FriendD. G. Tillner-Roth, R. Friend, D. G. J. Phys. Chem. Ref. Data1998276396]. C p measurements of the liquid were also obtained in the partial melting domain between the eutectic and liquidus. This novel data set will be useful in future investigations of conditions where such partial melt may exist, such as the ice shell–ocean boundary or the interiors of ocean worlds that may contain relatively large proportions of dissolved ammonia.

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Electrical Conductivity of Subsurface Ocean Analogue Solutions from Molecular Dynamics Simulations

Psarakis,

Fidelis,

Chin

et al. 2024

ACS Earth Space Chem.

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Investigating the habitability of ocean worlds is a priority of current and future NASA missions. The Europa Clipper mission will conduct approximately 50 flybys of Jupiter's moon Europa, returning a detailed portrait of its interior from the synthesis of data from its instrument suite. The magnetometer on board has the capability of decoupling Europa's induced magnetic field to high precision, and when these data are inverted, the electrical conductivity profile from the electrically conducting subsurface salty ocean may be constrained. To optimize the interpretation of magnetic induction data near ocean worlds and constrain salinity from electrical conductivity, accurate laboratory electrical conductivity data are needed under the conditions expected in their subsurface oceans. At the high-pressure, low-temperature (HPLT) conditions of icy worlds, comprehensive conductivity data sets are sparse or absent from either laboratory data or simulations. We conducted molecular dynamics simulations of candidate ocean compositions of aqueous NaCl under HPLT conditions at multiple concentrations. Our results predict electrical conductivity as a function of temperature, pressure, and composition, showing a decrease in conductivity as the pressure increases deeper into the interior of an icy moon. These data can guide laboratory experiments at conditions relevant to icy moons and can be used in tandem to forward-model the magnetic induction signals at ocean worlds and compare with future spacecraft data. We discuss implications for the Europa Clipper mission.

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PlanetProfile: Self-consistent interior structure modeling for terrestrial bodies in Python

Cited by 3 publications

References 62 publications

PlanetProfile: Self‐Consistent Interior Structure Modeling for Ocean Worlds and Rocky Dwarf Planets in Python

PlanetProfile: Self‐Consistent Interior Structure Modeling for Ocean Worlds and Rocky Dwarf Planets in Python

Low-Temperature Specific Heat Capacity of Water–Ammonia Mixtures Down to the Eutectic

Electrical Conductivity of Subsurface Ocean Analogue Solutions from Molecular Dynamics Simulations

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