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Dataset results
264 results for “Stellarator”
Stellar models for "Realistic Uncertainties for Fundamental Properties of Asteroseismic Red Giants and the Interplay Between Mixing Length, Metallicity and Numax" by Li, Yaguang et al. (2024)
<p>This dataset includes a grid of stellar models from Li, Yaguang et al. (2024), titled "Realistic Uncertainties for Fundamental Properties of Asteroseismic Red Giants and the Interplay Between Mixing Length, Metallicity and Numax".</p> <p>The stellar models are first-ascent red giant branch (RGB) models, sampled using a Sobol sequence within the following six-dimensional initial parameter space: mass (0.7, 2.3) solar mass, Y_init (0.22, 0.37), [M/H] (-0.1.0, 0.60) dex, α_MLT (1.3, 2.7), fov_core (0, 0.02), fov_shell (0, 0.008). The evolutionary tracks are computed up to the point on the RGB where the p-mode large separation (Δν) equals 2 μHz. Approximately 32,768 unique evolutionary tracks are presented, divided into 33 individual chunks.</p> <p>To load the models into a Python Pandas dataframe, use the following command: "import pandas as pd; pd.read_parquet(filepath)". Each model (dataframe row) is provided with global parameters (Teff, radius, luminosity, mass, age, ...) and pure p modes with l=0-2 (frequency, mode inertia, angular degree, ...).</p> <p>For detailed descriptions of the stellar models, please refer to the original paper and the github repository.</p>
DirtyGrid: 3D dust radiative transfer modeling of spectral energy distributions of dusty stellar populations
<p>Output global SEDs of a large grid of 3D stellar+dust radiative transfer models spanning the range of star formation and dust contents of regions of galaxies.</p> <p>Paper describing the DirtyGrid is Law, Gordo, & Misset (2018, ApJ, submitted)</p> <p>Code to make to access this data at: https://github.com/karllark/pydirtygrid</p>
On the Observability of Individual Population III Stars and Their Stellar-mass Black Hole Accretion Disks through Cluster Caustic Transits
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018ApJS..234...41W/abstract">On the Observability of Individual Population III Stars and Their Stellar-mass Black Hole Accretion Disks through Cluster Caustic Transits</a></p>
Forward Asteroseismic Modeling of Stars with a Convective Core from Gravity-mode Oscillations: Parameter Estimation and Stellar Model Selection
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/arXiv:1806.06869">Aerts et al. (2018)</a>. MESA version 10108.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4365/aaccfb">10.3847/1538-4365/aaccfb</a></p>
A window into δ Sct stellar interiors: understanding the eclipsing binary system TT Hor
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018MNRAS.480.1372S/abstract">A window into δ Sct stellar interiors: understanding the eclipsing binary system TT Hor</a></p>
Dust formation and mass loss around intermediate-mass AGB stars with initial metallicity Zini ≤ 10-4 in the early Universe - I. Effect of surface opacity on stellar evolution and the dust-driven wind
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017MNRAS.466.1709T">Dust formation and mass loss around intermediate-mass AGB stars with initial metallicity Zini ≤ 10-4 in the early Universe - I. Effect of surface opacity on stellar evolution and the dust-driven wind</a></p>
Modules for Experiments in Stellar Astrophysics (MESA): Planets, Oscillations, Rotation, and Massive Stars
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2013ApJS..208....4P">Modules for Experiments in Stellar Astrophysics (MESA): Planets, Oscillations, Rotation, and Massive Stars</a></p>
Modules for Experiments in Stellar Astrophysics (MESA): Convective Boundaries, Element Diffusion, and Massive Star Explosions
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018ApJS..234...34P/abstract">Modules for Experiments in Stellar Astrophysics (MESA): Convective Boundaries, Element Diffusion, and Massive Star Explosions</a></p>
Modules for Experiments in Stellar Astrophysics (MESA): Binaries, Pulsations, and Explosions
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2015ApJS..220...15P">Modules for Experiments in Stellar Astrophysics (MESA): Binaries, Pulsations, and Explosions</a></p>
Presupernova neutrinos: realistic emissivities from stellar evolution
<p>MESA inlists associated with <a href="http://Presupernova neutrinos: realistic emissivities from stellar evolution">Presupernova neutrinos: realistic emissivities from stellar evolution</a></p>
Properties of Carbon-Oxygen White Dwarfs From Monte Carlo Stellar Models
<p>MESA inlists and models associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2016ApJ...823...46F">Fields et al. (2016)</a>. MESA version 7624.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/0004-637X/823/1/46">10.3847/0004-637X/823/1/46</a></p>
Applications of the k-ω Model in Stellar Evolutionary Models
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...841...10L">Li (2017)</a>. MESA version 9793.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/aa6d4e">10.3847/1538-4357/aa6d4e</a></p>
Mass ejection in failed supernovae: variation with stellar progenitor
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018MNRAS.476.2366F/abstract">Fernández et al. (2018)</a>. MESA version 6974.</p> <p>Publication DOI: <a href="https://doi.org/10.1093/mnras/sty306">10.1093/mnras/sty306</a></p>
Inlists for paper: Massive Stellar Mergers as Precursors of Hydrogen-rich Pulsational Pair Instability Supernovae
<p>MESA (v10108) inlists for the models shown the "Massive Stellar Mergers as Precursors of Hydrogen-rich Pulsational Pair Instability Supernovae" Letter (1903.02135). The inlists reproduce both the single and merger model.</p> <p>Contents:</p> <p>FiducialMergersPPISN.tar.gz</p> <ul> <li>doubleMass</li> <li>evolveMerged</li> <li>evolveSingle</li> <li>preMSmodel</li> <li>README</li> </ul> <p>We also attach the single and merger MESA models at the moment where the central temperature is close to 10^9 K. These models where used to estimate the properties of the star, particularly core and envelope masses, as well as element abundances.</p> <ul> <li>mergerAtLogTc9.data</li> <li>singleAtLogTc9.data</li> </ul>
Data for the paper "Uncovering the birth of the Milky Way through accurate stellar ages with Gaia", accepted in Nature Astronomy
<p>Data files used in the paper that contain information that is not available in public catalogues, and that is necessary to produce the figures.</p> <p>The extended dataset consists of: i) (<strong>a</strong> and <strong>b</strong> panels of figure 1): two tables directly retrieved from the Gaia archive as described in Methods, supplemented by extinction information on a star-by-star basis; the code used to interpolate the 3-D extinction maps by Lallement et al. (2018) can be retrieved from \url{https://github.com/edober/dust_maps_3d}. ii) (<strong>c</strong> and <strong>d</strong> panels of Figure 1, Figure 2 and panel <strong>a </strong>of Figure 3): two tables with the derived solution CMDs. Two files with the necessary data to define the boxes used to select stars in the blue and red sequences of the halo CMD are also included. iii) (panel <strong>b</strong> of Figure 3): necessary tables with the age, metallicity and velocity data for the main progenitor and accreted satellite for realisation g15784 of the MaGICC program (Brook et al. 2012). The complete information on the final timestep of that simulation, together with scripts to read and plot the data are also included in the extended dataset.</p> <p>A explanatory README is contained within the tar file.</p>
Stellar Density Profiles of Dwarf Spheroidal Galaxies: Posterior Distributions
<p>This archive contains samples from the posterior distributions of our 3-plummer, 1-plummer, 3-steeper and 1-steeper fits for 38 dwarf spheroidal galaxies.</p>
Stellar Parameter Estimation for Half a Million M Dwarfs based on Cycle-StarNet
Open the record for dataset details and reuse information.
It's written in the massive stars: The role of stellar physics in the formation of black holes
<p>This repository contains additional data for the paper "It's written in the massive stars: The role of stellar physics in the formation of black holes" by E. Laplace, F.R.N. Schneider, and Ph. Podsiadlowski (2024).</p> <p> </p>
oceanus: Populations of stellar streams in deforming MW--LMC systems - I
<p>We publish o<em>ceanus,</em> the t = 0 Gyr simulation snapshots of all 16,384 streams in each MW--LMC potential used in<em> </em>Brooks, R. A. N et al. (2024)<em>.</em> The first part of the archived data includes:</p> <ul> <li><strong>rigid-mw-woutmotion-nolmc.hdf5</strong> - dataset for the stream population generated in the "Rigid MW without motion (no LMC)" potential.</li> <li><strong>rigid-mw-wmotion-nolmc.hdf5</strong> - dataset for the stream population generated in the "Rigid MW + motion (no LMC)" potential.</li> <li><strong>rigidmono-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Rigid Monopole & LMC" potential.</li> <li><strong>evolmono-wlmc.hdf5</strong> - dataset for the stream population generated in the "Evolving Monopole & LMC" potential.</li> </ul> <p>Each stream contains 20,000 particles with 3-D Galactocentric positions and velocities, plus progenitor information on its initial conditions, mass and scale radius. We do not include summary statistic values. The functions to calculate stream summary statistics will be shared upon reasonable request. This dataset can be used to explore the effect of the LMC and the MW halo response on MW streams.</p> <p>The basis function expansion MW--LMC potentials can be found and installed using instruction at:<em> </em><a href="https://github.com/sophialilleengen/mwlmc" target="_blank" rel="noopener">https://github.com/sophialilleengen/mwlmc</a>.</p>
oceanus: Populations of stellar streams in deforming MW--LMC systems - II
<p>We publish o<em>ceanus,</em> the t = 0 Gyr simulation snapshots of all 16,384 streams in each MW--LMC potential used in Brooks, R. A. N et al. (2024)<em>.</em> The second part of the archived data includes:</p> <ul> <li><strong>monodipole-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Monopole + Dipole & LMC" potential.</li> <li><strong>monoquad-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Monopole + Quadrupole & LMC" potential.</li> <li><strong>monodipolequad-wlmc.hdf5 </strong>- dataset for the stream population generated in the "Monopole + Dipole + Quadrupole & LMC" potential.</li> <li><strong>fullexp-nolmc.hdf5 </strong>- dataset for the stream population generated in the "ull Expansion & LMC" potential.</li> <li><strong>fullexp-wlmc.hdf5 </strong>- dataset for the stream population generated in the "ull Expansion (no LMC)" potential.</li> </ul> <p>Each stream contains 20,000 particles with 3-D Galactocentric positions and velocities, plus progenitor information on its initial conditions, mass and scale radius. We do not include summary statistic values. The functions to calculate stream summary statistics will be shared upon reasonable request. This dataset can be used to explore the effect of the LMC and the MW halo response on MW streams.</p> <p>The basis function expansion MW--LMC potentials can be found and installed using instruction at: <a href="https://github.com/sophialilleengen/mwlmc" target="_blank" rel="noopener">https://github.com/sophialilleengen/mwlmc</a>.</p>
ScienceDex guides
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.