The Norms of Assertion

McKinnon, Rachel

doi:10.1057/9781137521729

Cited by 56 publications

(2 citation statements)

References 64 publications

(182 reference statements)

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“…Measurements of gravity and topography can provide constraints on variations in crustal thickness across regional spatial scales (i.e., l = 2 -20) (e.g., Ermakov et al, 2021). However, previous geodetic studies at Enceladus (Iess et al, 2014;McKinnon, 2015;Hemingway & Mittal, 2019) predict a wide possible range of crustal thickness values across regional spatial scales (e.g., 4 -14 km, or ∼10 km near the South Pole). Ambiguity in determinations of crustal thickness from existing geodetic surveys arises primarily from uncertain estimates of the impact of ocean and crustal densities on Enceladus's gravity field (Hemingway & Mittal, 2019).…”

Section: Introductionmentioning

confidence: 99%

Using Tidally-Driven Elastic Strains to Infer Regional Variations in Crustal Thickness at Enceladus

Berne

Simons

Keane

et al. 2023

Preprint

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Constraining the spatial variability of the thickness of the ice shell of Enceladus (i.e., the crust) is central to our understanding of its thermodynamics and habitability. In this study, we develop a new methodology to infer regional variations in crustal thickness using measurements of tidally-driven elastic strain. As proof of concept, we recover thickness variations from synthetic finite-element models of the crust subjected to diurnal eccentricity tides. We demonstrate recovery of crustal thickness to within ~2 km of true values with < 0.2 km error over spherical harmonic degrees l ≤ 12 (corresponding to half-wavelengths ≥ 60 km). Our computed uncertainty is significantly smaller than the inherent ~10 km ambiguity associated with inferring variations in crustal thickness solely from gravity and topography measurements. We therefore conclude that measuring elastic strain provides a relatively robust approach for probing crustal structure at Enceladus.

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Section: Introductionmentioning

confidence: 99%

Using Tidally-Driven Elastic Strains to Infer Regional Variations in Crustal Thickness at Enceladus

Berne

Simons

Keane

et al. 2023

Preprint

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“…Our ray-tracing algorithm is natively written in the relatively new high-performance dynamically-typed language Julia. In the past, McKinnon (2015) has ported to Julia the Python ray tracer STARLESS , but it is restricted to the Schwarzschild spacetime. Skylight has the first Julia ray tracer that is able to handle arbitrary space-time geometries.…”

Section: Introductionmentioning

confidence: 99%

Skylight: a new code for general-relativistic ray-tracing and radiative transfer in arbitrary spacetimes

Pelle,

Reula,

Carrasco

et al. 2022

Preprint

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To reproduce the observed spectra and light curves originated in the neighborhood of compact objects requires accurate relativistic ray-tracing codes. In this work we present Skylight, a new numerical code for general-relativistic ray tracing and radiative transfer in arbitrary space-time geometries and coordinate systems. The code is capable of producing images, spectra and light curves from astrophysical models of compact objects as seen by distant observers. We incorporate two different schemes, namely Monte Carlo radiative transfer, integrating geodesics from the astrophysical region to distant observers, and camera techniques with backwards integration from the observer to the emission region. The code is validated by successfully passing several test cases, among them: thin accretion disks and neutron stars hot spot emission. Keywords radiative transfer • gravitation • black hole physics • methods: numerical

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Glasscock

2020

Erkenn

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The Norms of Assertion

Cited by 56 publications

References 64 publications

Using Tidally-Driven Elastic Strains to Infer Regional Variations in Crustal Thickness at Enceladus

Using Tidally-Driven Elastic Strains to Infer Regional Variations in Crustal Thickness at Enceladus

Skylight: a new code for general-relativistic ray-tracing and radiative transfer in arbitrary spacetimes

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