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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Orbits of Milky Way satellites in an ensemble of Galactic potentials including the LMC

Authors: Vasiliev, Eugene; Correa Magnus, Lilia;

Orbits of Milky Way satellites in an ensemble of Galactic potentials including the LMC

Abstract

This archive contains the samples from the MCMC analysis of Milky Way potential, including the dynamical perturbation from the LMC, and corresponding orbits of other Galactic satellites in each choice of the MW+LMC potential. There are 1000 samples of the MW+LMC potential parameters from the chain, and for each of them, one sample from the posterior distribution of present-day position/velocity for each satellite (i.e., sampled from its measurement uncertainties and weighted by the probability of finding this phase-space point in the DF corresponding to the given potential in the chain). The archive contains pre-computed trajectories for 63 objects, stored as a 4d numpy array orbits.npy with shape (63 objects, 1000 samples, 151 timesteps, 6 phase-space coordinates). The timesteps are equally spaced between -3 Gyr and now (also stored in orbit_times.npy). Object names are listed in names.npy; LMC comes 0th. The potential parameters for each of these 1000 samples are stored in potential_params.npy - each row has 6 parameters, 5 for the MW halo and the last one is the LMC mass. The script integrate_orbits.py contains a routine for constructing the MW potential with the given parameters (taken from the chain), computing the past trajectories of MW+LMC and constructing the time-dependent potential of both galaxies, which can then be used to integrate orbits of test particles, such as other satellites. Doing this for all 1000 samples and 62 objects would take some time, that's why they are provided in already pre-computed form.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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