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63 results for “stars: massive”
A massive binary system with a single magnetic star
<p>HD148937 is one of the three Galactic O-type sources belonging to the rare class of Of?p objects. These stars are characterised by recurrent spectral variations, the origin of which is found to be their strong magnetic fields. Originally thought to be a single star, long baseline near-IR interferometry with PIONIER has revealed HD148937 to be a binary system. In this presentation I will discuss our investigations into the source using a combination of multi-epoch GRAVITY and PIONIER data. These data reveal that the two components are of similar brightness but one star shows the BrG line in emission and the other in absorption, confirming that only one of the two stars is magnetic. Combining our data with existing spectroscopic measurements, a preliminary 3D orbit of the system can be obtained and subsequently absolute masses. We use these new constraints to discuss the evolutionary status of this unique object in the context of the origin of the magnetic star.</p>
Different to the core: the pre-supernova structures of massive single and binary-stripped stars
<p>This is a basic reproduction package for the paper "Different to the core: the pre-supernova structures of massive single and binary-stripped stars".</p> <p>This package contains inlists for MESA and processed output.</p>
Yields from paper: ALUMINIUM-26 FROM MASSIVE BINARY STARS III. BINARY STARS UP TO CORE-COLLAPSE AND THEIR IMPACT ON THE EARLY SOLAR SYSTEM
<p>================================================================================<br> Title: Aluminium-26 From Massive Binary Stars III: BINARY STARS UP TO CORE-COLLAPSE AND THEIR IMPACT ON THE EARLY SOLAR SYSTEM<br> Authors: Brinkman H.E., Doherty C.L., Pignatari M., Pols, O. R., Lugaro M.<br> ================================================================================<br> Description of contents: A .tar.gz package containing 12 files with the complete set<br> of yields from the models presented in this paper. Each file contains one primary mass,<br> e.g., Yields10Msun contains the yields for the binary systems with a 10Msun primary.<br> The second line in each file has the periods.<br> ================================================================================</p>
A calibration point for stellar evolution from massive star asteroseismology: supplementary dataset
<p>Dataset related to the article "A calibration point for stellar evolution from massive star asteroseismology" by Burssens et al. 2022 published in Nature Astronomy on the 22nd of June 2023. </p> <p>This dataset contains:</p> <p>1) The frequency list derived from the cycle 2 TESS data set of HD192575 in machine-readable format. Units are provided in the article. </p> <p>2) The MESA/GYRE inlists needed to reproduce models and figures. </p> <p>See the article for more detailed information.</p> <p> </p> <p> </p> <p> </p> <div> </div>
The evolution of massive binary stars
<p>Input files and data to reproduce the figures of the review paper "The Evolution of Massive Binary Stars".</p><p>Simulations shown in the paper were computed using the Modules for Experiments in Stellar Astrophysics code (MESA), with version r23.05.1 and compiled with the MESA SDK version x86_64-linux-22.6.1.</p><p>Figures were produced using the julia programming language version 1.9.2 together with Makie.jl. A Project.toml and Manifest.toml file are provided to reproduce the environment used to produce the figures.</p>
Betelgeuse as a Merger of a Massive Star with a Companion
<p>MESA directory for stellar evolution of Betelgeuse post-merger with options to vary strength of mixing due to rotation.</p>
The R136 star cluster dissected with Hubble Space Telescope/STIS. III. The most massive stars and their clumped winds
<p>Supplemental material to 'The R136 star cluster dissected with Hubble Space Telescope/STIS. III. The most massive stars and their clumped winds'. This includes, for each star in the sample: a plot of the observed spectrum overlaid with best fitting models and fitness diagrams for all free parameters. Furthermore we include data (the normalised spectra used in the analysis, and best fitting models) and a basic reproduction package. </p>
Massive He star progenitor models for CCSN simulations
<p>He star progenitor models calculated by K. Takahashi.<br> Reference: K. Takahashi, T. Takiwaki, and T. Yoshida, 2022, submitted.</p>
Effects of winds on the leftover hydrogen in massive stars following Roche lobe overflow
<p>MESA material associated with "<a href="https://ui.adsabs.harvard.edu/abs/2019MNRAS.486.4451G/abstract">Effects of winds on the leftover hydrogen in massive stars following Roche lobe overflow</a>"</p>
The rotational shear in pre-collapse cores of massive stars
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2018MNRAS.474.1194Z">The rotational shear in pre-collapse cores of massive stars</a></p>
binary_c output files to reproduce "Massive runaway and walkaway stars"
<p>Raw binary_c output for the paper "<a href="https://ui.adsabs.harvard.edu/abs/2019A%26A...624A..66R/abstract">Massive runaway and walkaway stars: A study of the kinematical imprints of the physical processes governing the evolution and explosion of their binary progenitors</a>" by Renzo et al. <br><br>The tarball is ~21GB zipped, and unzips to >250Gb file with all the parameter variations.<br><br></p>
X-Shooting ULLYSES: Massive Stars at low metallicity VI. Atmosphere and mass-loss properties of O-type giants in the SMC
<p>Figures from X-Shooting ULLYSES: Massive Stars at low metallicity VI. Atmosphere and mass-loss properties of O-type giants in the SMC. The individual fits of the stars and their explored parameter space. </p> <p>Caption:</p> <p>Overview of the fitting results of AV\,80. The \textit{top} part shows the line profiles included in the fitting process, with the name of each feature indicated in the bottom left. The green line shows the best fit, with the shaded region showing the 1$\sigma$ uncertainty on the model fit. The black vertical bars indicate the observed flux, with the length indicating the uncertainty. The horizontal axis shows the wavelength in \AA. The \textit{bottom} part shows the distribution of $1/\chi^2_{\rm r}$ for each parameter (indicated on the top left), with $\chi^2_{\rm r}$ the reduced $\chi^2$ value. Each scatter point indicates one {\sc Fastwind} model calculated by Kiwi-GA. The color indicates the generation in which the model was computed, with light gray the first generation and black the last. The vertical yellow line indicates the best fit value for each parameter, and the shaded regions are the 1 and 2 $\sigma$ confidence intervals. The distributions in the red shaded area are from the optical only GA fit.</p>
Table 1 and Figure A.1 for Observational studies on S-bearing molecules in massive star forming regions
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The SOFIA Massive (SOMA) Star Formation Q-band Follow-up. I. Carbon-Chain Chemistry of Intermediate-Mass Protostars
<p>These figures show spectra obtained by the Yebes 40m telescope toward eleven intermediate-mass protostars. Black lines indicate the observational spectra and red curves indicate the best-fitting models with the MCMC method. Blue curves show the results of the Gaussian fitting.</p>
Dataset: The Main Evolutionary Pathways of Massive Hierarchical Triple Stars
<p>This is a reproduction package for the paper "The Main Evolutionary Pathways of Massive Hierarchical Triple Stars" by Kummer et al. (2023). It aims to provide the most important data products and reproduce the Figures of the paper.</p>
Data from "A Wideband Chemical Survey of Massive Star-forming Regions at Subarcsecond Resolution with the Submillimeter Array"
<p>Continuum-subtracted and non-continuum-subtracted measurement sets ("[SOURCE]_[RECEIVER]_[SIDEBAND].ms.[contsub].tar.gz"), line image cubes ("[SOURCE]_[RECEIVER]_[SIDEBAND]_[SPW]_cube.fits"), and continuum images ("[SOURCE]_[FREQ]_continuum.fits") associated with Law et al., 2024, "A Wideband Chemical Survey of Massive Star-forming Regions at Subarcsecond Resolution with the Submillimeter Array," accepted to ApJS.</p> <p>The measurement sets are listed according to receiver (RX240, RX345) and sideband (LS, US), while the line image cubes are further sub-divided into four separate spectral windows (0-3) for each receiver and sideband combination. All images are contained in the per-source directories ("[SOURCE]_images.tar.gz").</p> <p>The raw data are available on the SMA archive via project codes 2018B-S023 and 2019A-S006 (PI: C. Law).</p> <p> </p> <p> </p>
Massive pre-main-sequence stars in M17 - Modelling hydrogen and dust in mYSO disks
<p>This is a basic reproduction package for the paper "Massive pre-main-sequence stars in M17 - Modelling hydrogen and dust in mYSO disks" by F. Backs, et al. 2023. It provides the data products required to reproduce the results.</p>
ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1
<p>Input files and data for the MESA simulations in the paper "ALMA detection of CO rotational line emission in red supergiant stars of the massive young star cluster RSGC1". Runs where performed with version r23.05.1 of the MESA code using the MESA SDK version x86_64-linux-22.6.1. Folder named "Decin" contains the simulation with the new mass loss rate described in the paper, while the folder named NdJ contains the input files for the simulation performed with the Nieuwenhuijzen & de Jager rates.</p>
Pulsation-driven Mass Loss from Massive Stars behind Stellar Mergers in Metal-poor Dense Clusters
<p>MESA inlists, run_star_extras, and data associated with Nakauchi, Inayoshi, Omukai 2020. MESA version</p> <p>12115.</p>
Fit summary of "X-Shooting ULLYSES: Massive Stars at low metallicity IX: Empirical constraints on mass-loss rates and clumping parameters for OB supergiants in the Large Magellanic Cloud"
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.