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      Jovian Sodium Nebula and Io Plasma Torus S + and Brightnesses 2017–2023: Insights Into Volcanic Versus Sublimation Supply

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          Abstract

          We present first results derived from the largest collection of contemporaneously recorded Jovian sodium nebula and Io plasma torus in [S II] 6731 Å images assembled to date. The data were recorded by the Planetary Science Institute's Io Input/Output observatory and provide important context to Io geologic and atmospheric studies as well as the Juno mission and supporting observations. Enhancements in the observed emission are common, typically lasting 1–3 months, such that the average flux of material from Io is determined by the enhancements, not any quiescent state. The enhancements are not seen at periodicities associated with modulation in solar insolation of Io's surface, thus physical process(es) other than insolation‐driven sublimation must ultimately drive the bulk of Io's atmospheric escape. We suggest that geologic activity, likely involving volcanic plumes, drives escape.

          Plain Language Summary

          The Planetary Science Institute's Io Input/Output observatory (IoIO) is composed almost entirely of off‐the‐shelf parts popular with amateur astronomers. IoIO uses special filters to isolate emission from two gasses found around Jupiter: neutral sodium and ionized sulfur. The sodium is thrown out from Io in a vast cloud called the Jovian sodium nebula. The ionized sulfur collects into the Io plasma torus (IPT), a ring‐shaped structure centered around Jupiter that wobbles around Io's orbital path. These gasses ultimately come from Jupiter's highly volcanic moon, Io. We see the Na nebula and IPT brighten frequently. This demonstrates that the majority of the material leaving Io comes from whatever drives the frequent brightening events, with volcanic plumes likely playing a key role. Our results challenge a widely held belief in the scientific community, that the majority of the material in the Na nebula and IPT comes from Io's tenuous global atmosphere, which is fed by the sublimation of surface frosts and is relatively stable in time. Our data set also provides important context for NASA's Juno mission and supporting observations that focus on Io volcanism, the material's likely source, and Io's magnetosphere, the material's ultimate destination.

          Key Points

          • A large set of Jovian sodium nebula and Io plasma torus S + images provides context for Io and Jovian magnetospheric studies

          • Enhancements in Na and S + emission last 1–3 months, ruling out insolation‐driven sublimation as their driver

          • Volcanic plumes likely play a key role in atmospheric escape

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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            Matplotlib: A 2D Graphics Environment

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              Array programming with NumPy

              Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. For example, in astronomy, NumPy was an important part of the software stack used in the discovery of gravitational waves 1 and in the first imaging of a black hole 2 . Here we review how a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring and analysing scientific data. NumPy is the foundation upon which the scientific Python ecosystem is constructed. It is so pervasive that several projects, targeting audiences with specialized needs, have developed their own NumPy-like interfaces and array objects. Owing to its central position in the ecosystem, NumPy increasingly acts as an interoperability layer between such array computation libraries and, together with its application programming interface (API), provides a flexible framework to support the next decade of scientific and industrial analysis.
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                Author and article information

                Contributors
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                Journal
                Journal of Geophysical Research: Space Physics
                JGR Space Physics
                American Geophysical Union (AGU)
                2169-9380
                2169-9402
                March 2024
                March 25 2024
                March 2024
                : 129
                : 3
                Affiliations
                [1 ] Planetary Science Institute Tucson AZ USA
                [2 ] Center for Space Physics Boston University Boston MA USA
                [3 ] University of Colorado Boulder Boulder CO USA
                Article
                10.1029/2023JA032081
                2dc510f5-c1e5-4a2c-8e46-156ac1da7e6a
                © 2024

                http://creativecommons.org/licenses/by/4.0/

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