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24 results for “Callisto”
Data for "Constraints on the Observability of Energetic Neutral Atoms from the Magnetosphere-Atmosphere Interactions at Callisto and Europa" by Haynes et al.
<p>Accompanying data products for publication entitled "Constraints on the Observability of Energetic Neutral Atoms from the Magnetosphere-Atmosphere Interactions at Callisto and Europa". The manuscript was submitted to JGR Space Physics shortly after upload.</p> <p>Data includes all simulation outputs that are depicted in this work, both for the AIKEF hybrid model (i.e., Figure 4) and the model used to produce synthetic ENA images (Figures 3, 6, 8, 9, 11, A1, and B1). All other figures in the work are used for illustrative purposes and were not generated with simulation output. </p> <p>Information regarding the organization and file structure can be found in H24_data_readme.txt , as well as which dataset corresponds to which figure. Any inquiries, questions, or comments may be addressed through the email associated with this data publication.</p>
Data for "The Spatiotemporal Structure of Induced Magnetic Fields in Callisto's Plasma Environment due to their Propagation with MHD Modes" by Strack & Saur
<div>This dataset contains data from the publication Strack & Saur, 2024 (<a href="https://doi.org/10.1029/2024JA033235">https://doi.org/10.1029/2024JA033235</a>), including the output of our MHD model as well as processed data used in Figures 4, 5, and 6.<br> <div> </div> <div>We use a Cartesian and a spherical coordinate system, both with the origin at the geometric center of Callisto. In the Cartesian system, the z-axis is parallel to Jupiter’s rotation axis, the y-axis points to the center of Jupiter and the x-axis, which completes the right-handed coordinate system, is approximately in direction of Callisto's orbital motion. In the spherical coordinate system, phi=0° is defined on the Jupiter-facing meridian (positive y-axis) and is counted in an easterly direction, i.e., phi=90° is the upstream direction (negative x-axis). Theta is taken from the positive z-axis.<br><br></div> <div> <div> <h2>Simulation Output</h2> <br> <div>The PLUTO simulation code (v4.4, Mignone et al. 2007, http://plutocode.ph.unito.it) was used for the numerical solution of the MHD model. A description of the model equations, boundary conditions and simulation process is given Strack & Saur, 2024.</div> <br> <div>The simulations were performed in spherical geometry (r, theta, phi). Each "*.flt" output file contains the model variables on the simulation grid for a single time step. The respective simulation grid is specified in the "grid.out" file. The model variables are:</div> <ul> <li>rho: Plasma mass density</li> <li>vx1: Plasma bulk velocity, r component</li> <li>vx2: Plasma bulk velocity, theta component</li> <li>vx3: Plasma bulk velocity, phi component</li> <li>Bx1: Magnetic field, r component</li> <li>Bx2: Magnetic field, theta component</li> <li>Bx3: Magnetic field, phi component</li> <li>prs: Thermal plasma pressure</li> </ul> <div> <div>Each simulation output file also contains the following additional variables:</div> <ul> <li>Bpx1: In our case, this is the same as Bx1</li> <li>Bpx2: In our case, this is the same as Bx2</li> <li>Bpx3: In our case, this is the same as Bx3</li> <li>Jx1: Electric current density, r component</li> <li>Jx2: Electric current density, phi component</li> <li>Jx3: Electric current density, theta component</li> </ul> <div>In the output files, all values are in normalized units. The normalization factors (in CGS units) are:</div> <ul> <li>norm_r = 2410e3 cm</li> <li>norm_t = 1.255e1 s</li> <li>norm_rho = 1.594e-24 g/cm^3</li> <li>norm_v = 1.92e7 cm/s</li> <li>norm_B = 8.593e-05 Gauss</li> <li>norm_prs = 5.877e-10 dyne/cm^3</li> <li>norm_J = 8.508e-04 statA/cm^2</li> </ul> <div>Since the simulation output files are in PLUTO's binary ".flt" format, we provide the Python script "read_data.py" to read the simulation data and grid specifications.</div> <br> <div>We provide the following simulation data:</div> <br> <div>For Section 4 in Strack & Saur, 2024</div> <ul> <li>`./symmetric_model_reference`: The reference simulation, i.e., moon-magnetosphere interactions only<br>`./symmetric_model_full_A075`: The (main) full simulation with A=0.75, i.e., moon-magnetosphere interactions and induced magnetic field<br>`./symmetric_model_full_A025`: The full simulation with A=0.25<br>`./symmetric_model_full_A050`: The full simulation with A=0.50<br>`./symmetric_model_full_A100`: The full simulation with A=1.00</li> </ul> <div>For Section 5 in Strack & Saur, 2024</div> <div> <ul> <li>`./C03_high_density_reference`: The reference simulation for the C03 flyby with the higher initial plasma mass density</li> <li>`./C03_high_density_full`: The full simulation with A=0.85 for the C03 flyby with the higher initial plasma mass density</li> <li>`./C03_low_density_reference`: The reference simulation for the C03 flyby with the lower initial plasma mass density</li> <li>`./C03_low_density_full`: The full simulation with A=0.85 for the C03 flyby with the lower initial plasma mass density</li> <li>`./C09_high_density_reference`: The reference simulation for the C09 flyby with the higher initial plasma mass density</li> <li>`./C09_high_density_full`: The full simulation with A=0.85 for the C09 flyby with the higher initial plasma mass density</li> <li>`./C09_low_density_reference`: The reference simulation for the C09 flyby with the lower initial plasma mass density</li> <li>`./C09_low_density_full`: The full simulation with A=0.85 for the C09 flyby with the lower initial plasma mass density</li> </ul> </div> <br> <div>Note that in the simulation data that is provided for the symmetric model (Section 4), the output numbers of the data files are different. This is because a higher output frequency was used for the reference simulation and the A=0.75 full simulation. All output files for the symmetric full simulations refer to the end of the propagation time span shown in Figure 4. For the reference simulation, the output is provided at the beginning and end of this time span.</div> <div> </div> <div> <div> <h2>Processed Data</h2> <p>In addition to the simulation output, we provide processed data used in Figures 4, 5 and 6 of Strack & Saur, 2024.</p> <p>The directory `./data_figure_4_and_5` contains the following files for each of the four panels in Figure 4:</p> <ul> <li>`fig4_panel_*_reference.csv`: The magnetic field of the reference simulation for the respective profile. Provided are the mean, minimum, and maximum values of each component (Bx, By, Bz) in the analyzed time period.</li> <li>`fig4_panel_*_full_Bx.csv`: The time series of the Bx magnetic field component of the full simulation for the respective profile. Each column contains values for a different position (given in the first row) and each row contains values for a different point in time (given in the first column).</li> <li>`fig4_panel_*_full_By.csv`, `fig4_panel_*_full_Bz.csv`: The time series of the By and Bz magnetic field components, respectively.</li> </ul> <p>The data given for panels a and b are also used in Figure 5.</p> <p>The directory `./data_figure_6` contains a single file `fig6_sample_data.csv` with the data used for Figure 6.</p> <ul> <li>The first three columns of the file give the Cartesian coordinates of the sample points</li> <li>"B_sec_infinity" is the magnitude of the induced magnetic dipole field in a vacuum environment with A=1.0 (Equation 1)</li> <li>"dB_reference" is the numerical variability of the reference simulation in its approximately stationary state</li> <li>The last four columns (e.g. "B_sec_A025") contain the transport altered induced magnetic field magnitudes in the plasma environment for a true dipole amplitude of A=0.25, A=0.50, A=0.75, and A=1.00</li> </ul> <p>Note that length, time and magnetic field in the processed data are given in units of Callisto radii (Rc), seconds and nanotesla.</p> </div> <h2>References:</h2> <div> <div>Mignone, A., Bodo, G., Massaglia, S., Matsakos, T., Tesileanu, O., Zanni, C., & Ferrari, A. (2007). PLUTO: A Numerical Code for Computational Astrophysics. The Astrophysical Journal Supplement Series, 170(1), 228–242. https://doi.org/10.1086/513316</div> <br> <div>Strack, D., Saur, J. (2024). The Spatiotemporal Structure of Induced Magnetic Fields in Callisto's Plasma Environment Due to Their Propagation With MHD modes. Journal of Geophysical Research: Space Physics, 129(12), https://doi.org/10.1029/2024JA033235</div> </div> </div> </div> </div> </div> </div>
Data for "Energetic Particle Fluxes onto Callisto's Atmosphere" by Liuzzo et al., 2022
<p>Data files corresponding to the publication "Energetic Particle Fluxes onto Callisto’s Atmosphere" by Liuzzo et al., 2022.</p>
CALLISTO-SPK: A Stochastic Point Kinetics Code for Performing Low Source Nuclear Power Plant Start-up and Power Ascension Calculations Data Repository
<p>This dataset provides data to accompany the submission named "CALLISTO-SPK: A Stochastic Point Kinetics Code for Performing Low Source Nuclear Power Plant Start-up and Power Ascension Calculations" which has been submitted to Annals of Nuclear Energy. Details of the file included may be found in the readme file.</p>
Data for "Callisto's Atmosphere: The Oxygen Enigma" by Carberry Mogan, et al., 2023
<p>Data files corresponding to the publication "Callisto’s atmosphere: The oxygen enigma" by Carberry Mogan, et al., 2023. See also <a href="http://doi.org/10.5281/zenodo.6784734">doi:<span>10.5281/zenodo.6784734</span></a><span> for additional files and further information.</span></p>
Reanalysis of Galileo Magnetometer Data at Callisto
<p>This dataset contains the Matlab .mat structure files and associated .m script to produce the data illustrated in the manuscript titled, "Stronger Evidence for a Subsurface Ocean within Callisto from a Multifrequency Investigation of its Induced Magnetic Field", submitted to AGU Advances in February 2024.</p>
Data underlying the publication: Callisto's atmosphere: First evidence for H2 and constraints on H2O
<p>We explore the parameter space for the contribution to Callisto's H corona observed by the Hubble Space Telescope (Roth et al. 2017a) from sublimated H<sub>2</sub>O and radiolytically produced H<sub>2</sub> using the Direct Simulation Monte Carlo (DSMC) method. The spatial morphology of this corona produced via photo- and magnetospheric electron impact-induced dissociation is described by tracking the motion of and simulating collisions between the hot H atoms and thermal molecules including a near-surface O<sub>2</sub> component. Our results indicate that sublimated H<sub>2</sub>O produced from the surface ice, whether assumed to be intimately mixed with or distinctly segregated from the dark non-ice or ice-poor regolith, cannot explain the observed structure of the H corona. On the other hand, a global H<sub>2</sub> component can reproduce the observation, and is also consistent with enhanced electron densities observed at high altitudes by <em>Galileo</em>'s plasma-wave instrument (Gurnett et al. 1997, 2000), providing the first evidence of H<sub>2</sub> in Callisto's atmosphere. The range of H<sub>2</sub> surface densities explored, under a variety of conditions, that are consistent with these observations is ∼(0.4-1)×10<sup>8</sup> cm<sup>-3</sup>. The simulated H<sub>2</sub> escape rates and estimated lifetimes suggest that Callisto has a neutral H<sub>2</sub> torus. We also place a rough upper limit on the peak H<sub>2</sub>O number density (<∼10<sup>8</sup> cm<sup>-3</sup>), column density (<∼10<sup>15</sup> cm<sup>-2</sup>), and sublimation flux (<∼10<sup>12</sup> cm<sup>-2</sup> s<sup>-1</sup>), all of which are 1-2 orders of magnitude less than that assumed in previous models. Finally, we discuss the implications of these results, as well as how they compare to Europa and Ganymede.</p>
Supplementary material 1 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
List of studied specimens of Callisto coffeella and Callisto basistrigella and collection data.: Explanation note: The list of 135 examined specimens of Callisto coffeella and Callisto basistrigella sp. n., their collection data (country, locality, GPS coordinates, collection date and collector name) and depository data (museum or private collection) are provided in the supplementary table S1. All specimens have been studied morphologically; the barcoded samples are supplied with sample ID, process ID, GenBank COI and GenBank H3 (if nuclear gene histone H3 was analyzed).
Callisto and Synthetic400 inversion data sets
<p>Callisto and Synthetic400 model input files for the Tomofast-x 2.0.</p>
Data underlying the publication: Callisto's atmosphere: First evidence for H2 and constraints on H2O
Open the record for dataset details and reuse information.
Figure 20 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
Figure 20 - Genitalia measurements (mean values ± standard error) for the two Callisto species studied. The bars marked by an asterisk are significantly different from each other (MWT: Z = 2.36, N = 16, p = 0.02); in others cases, there is no difference between the species.
Figure 21 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
Figure 21 - A neighbor joining tree based on the COI barcode fragment and B based on the histone H3 gene. The two specimens (ISSIK141-14, ISSIK274-14) with the Callisto basistrigella phenotype, but branching within the Callisto coffeella DNA barcode and within the Callisto basistrigella histone H3 cluster are marked with red triangles (as in Fig. 19) in both trees.
Figures 17-18 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
Figures 17-18 - Callisto, female genitalia. 17 Callisto coffeella, Austria, Vorarlberg, Brandnertal, Böser Tritt, 1700–1800 m, 02.VII.1983, leg. Huemer gen. slide TIN 9 (TLMF) 18 Callisto basistrigella sp. n., Prov. Udine, Montasio, 16.IX.1951, leg. Pinker gen. slide TIN 8 (TLMF).
Figure 19 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
Figure 19 - A sampling area of Callisto coffeella and Callisto basistrigella in Europe. B close up of the distribution of Callisto coffeella (green circles) and Callisto basistrigella (white squares) in the Alps; two Callisto basistrigella specimens (red triangles) show evidence of introgression. On Figs 19A, 19B, the 35 barcoded specimens are shown with numbers (1-5). The red circle on Fig. 19B shows the contact zone where both species occur together (Leitnertal, Eastern Tyrol, Austria and Sappada, Italy). When several samples were investigated per locality, the samples with the same coordinates have been slightly shifted in order to visualize overlapping data points on Fig. 19B.
Figures 13-16 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
Figures 13-16 - Callisto, male, segment 8. 13 Callisto coffeella, Vorarlberg Zürs, 1800 m, 29.VI.1939, leg. Burmann, gen. slide TIN 1 (TLMF) 14 Callisto coffeella, Teriol sept., Vent 2000 m, e.l. 01.III.1956, leg. Burmann, gen. slide TIN 4 (TLMF) 15 Callisto basistrigella sp. n., Italia sept. Prov. Udine, Mte. Sernio, Forcella Nuviernulis 1700 m, 16.VII.1988, leg. Huemer, gen. slide TIN 2 (TLMF) 16 Callisto basistrigella sp. n., Italia sept. Prov. Udine, Mte. Sernio, Forcella Nuviernulis 1700 m, 16.VII.1988 leg. Huemer gen. slide TIN 3 (TLMF).
Figures 9-12 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
Figures 9-12 - Callisto, male genitalia. 9 Callisto coffeella, Vorarlberg Zürs, 1800 m, 29.VI.1939, leg. Burmann, gen. slide TIN 1 (TLMF) 10 Callisto coffeella Teriol sept., Vent 2000 m, e.l. 01.III.1956, leg. Burmann, gen. slide TIN 4 (TLMF) 11 Callisto basistrigella sp. n., Italia sept. Prov. Udine, Mte. Sernio, Forcella Nuviernulis 1700 m, 16.VII.1988 leg. Huemer gen. slide TIN 2 (TLMF) 12 Callisto basistrigella sp. n. Italia sept. Prov. Udine, Mte. Sernio, Forcella Nuviernulis 1700 m, 16.VII.1988 leg. Huemer gen. slide TIN 3(TLMF).
Figures 1-8 from: Kirichenko N, Huemer P, Deutsch H, Triberti P, Rougerie R, Lopez-Vaamonde C (2015) Integrative taxonomy reveals a new species of Callisto (Lepidoptera, Gracillariidae) in the Alps. ZooKeys 473: 157-176. https://doi.org/10.3897/zookeys.473.8543
Figures 1-8 - Callisto adults in dorsal view. 1 Callisto coffeella, male, Austria, Leitnertal, Oberer Stuckensee, 2150 m, 07.IX.2013, leg. Deutsch (PCHD) | voucher specimen № 3 | sample ID – NK318 | process ID CALCO003-14 2 Callisto coffeella, male, Austria, Nordtirol, Bodenalpe, 2000 m, 9.–10.VII.1984, leg. Burmann (TLMF); 3 Callisto coffeella, male, Austria, Vorarlberg, Brandnertal, Böser Tritt, 1700-1800 m, 04.VII.1983, leg. Huemer (TLMF) 4 Callisto coffeella, female, Austria, Nordtirol, Obergurgl, 2000 m, e.l. M.III.1970, leg. Burmann (TLMF) 5 Callisto basistrigella sp. n., male, East Tyrol, Lienzer Dolomiten, Laserz, Dolomitenhütte, 1600 m, 12.VII.2013, leg. Deutsch (TLMF) | voucher specimen № 10 | sample ID – NK325 | process ID CALCO010-14 6 Callisto basistrigella sp. n., male, Italy, Prov. Udine, Mte. Sernio, Forcella Nuviernulis, 1700 m, 16.VII.1988, leg. Huemer (TLMF) 7 Callisto basistrigella sp. n., male, Italy, Prov. Udine, Mt. Canin N, Rif. Gilberti, 1850–1950 m, 29.VII.2001, leg. Huemer (TLMF) 8 Callisto basistrigella sp. n., female, Italy, Prov. Udine, Montasio, 16.IX.1951, leg. Pinker (TLMF).
CALLISTO Ontology
<p>The CALLISTO ontology models the domain knowledge and geospatial semantics of the EU-funded <a href="https://callisto-h2020.eu/">CALLISTO</a> project. CALLISTO aims to bridge the gap between Copernicus Data and Data and Information Access Service (DIAS) providers and users in different domains by providing AI solutions that effectively add value to large amounts of satellite data. The project focuses on the Earth Observations (EO) domain and its relationship with four Pilot Use Cases (PUCs): 1) Common Agricultural Policy (CAP) monitoring, 2) water quality assessment, 3) air quality assessment and journalism, and 4) land border surveillance. The CALLISTO ontology has been developed to handle this multi-domain data by offering a semantic representation of each domain and the connections between them. The ontology is reusing the <a href="http://candela-h2020.eu/content/semantic-search-v1">CANDELA ontologies</a> to represent geospatial data and satellite imagery. Meanwhile, additional concepts are introduced in the CALLISTO ontology to accurately capture the domain-specific definitions associated with the targeted PUCs. The objective behind developing the ontology is to convert the domain knowledge into a format that machines can understand and process, typically in the form of a Resource Description Framework (RDF). This transformation enables the application of data analytics techniques and the extraction of additional knowledge through automated inference. Applications such as geospatial question answering, geospatial data retrieval, and cross-domain semantic data-driven applications could use it as an underlying data source.</p> <p>The CALLISTO ontology is available in an RDF format; it is associated with Work Package WP6 within the CALLISTO project, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 101004152. For further details, please refer to deliverable <a href="https://callisto-h2020.eu/wp-content/uploads/2022/05/CALLISTO-del-wp6-d6.1-v1.0.pdf">D6.1: The CALLISTO ontologies and semantic indexing</a>. The ontology and knowledge graph were developed by the <a href="https://www.iais.fraunhofer.de/de/presse/news/news-210223.html">Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)</a>. In collaboration with PUC members, the ontology was developed and evaluated. Following that, the task of incorporating data from PUC teams into the ontology resulted in the creation of the <a href="https://zenodo.org/record/8196894">CALLISTO knowledge graph</a>.</p>
Callisto Crater Database
This web page leads to a database of images and information about the 150 major impact craters on Callisto and is updated semi-regularly based on continuing analysis of Voyager images.
Evaluate Performance of Callisto Eye vs. Wavetec AnalyzOR
ClinicalTrials.gov study NCT06216067. IPD Sharing: NO. Countries: 1. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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