Orbits of Milky Way satellites in an ensemble of Galactic potentials including the LMC
<p>This archive contains the samples from the MCMC analysis of Milky Way potential,<br> including the dynamical perturbation from the LMC, and corresponding orbits<br> of other Galactic satellites in each choice of the MW+LMC potential.<br> <br> There are 1000 samples of the MW+LMC potential parameters from the chain,<br> and for each of them, one sample from the posterior distribution of present-day<br> position/velocity for each satellite (i.e., sampled from its measurement<br> uncertainties and weighted by the probability of finding this phase-space point<br> in the DF corresponding to the given potential in the chain).<br> The archive contains pre-computed trajectories for 63 objects,<br> stored as a 4d numpy array orbits.npy with shape<br> (63 objects, 1000 samples, 151 timesteps, 6 phase-space coordinates).<br> The timesteps are equally spaced between -3 Gyr and now (also stored in<br> orbit_times.npy).<br> Object names are listed in names.npy; LMC comes 0th.<br> The potential parameters for each of these 1000 samples are stored in<br> potential_params.npy - each row has 6 parameters, 5 for the MW halo<br> and the last one is the LMC mass.<br> The script integrate_orbits.py contains a routine for constructing<br> the MW potential with the given parameters (taken from the chain),<br> computing the past trajectories of MW+LMC and constructing the time-dependent<br> potential of both galaxies, which can then be used to integrate orbits of<br> test particles, such as other satellites. Doing this for all 1000 samples<br> and 62 objects would take some time, that's why they are provided in already<br> pre-computed form.<br> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0