Heidi Jo Newberg

TL;DR: An asynchronous version of particle swarm optimization (APSO) is presented and compared to previously used asynchronous genetic search (AGS) using the MilkyWay@Home BOINC computing project, and APSO is shown to provide faster convergence to optimal results while being less sensitive to its search parameters.

TL;DR: The resulting software enabled MilkyWay@Home to use GPU applications for a significant increase in computing power, at the time of this publication approximately 216 teraflops, which would place the combined power of these GPUs between the 11th and 12th fastest supercomputers in the world.

TL;DR: Based on the second Gaia data (Gaia DR2) and spectroscopy from the LAMOST Data Release 5, Wang et al. as discussed by the authors defined the high-velocity (HiVel) stars sample as those stars with $v_{\mathrm{gc}} > 0.85 v{\mathm{esc}}$, and derived the final sample of 24 HiVel stars with stellar astrometric parameters and radial velocities.

TL;DR: In this paper, a set of known QSOs in five bands with a filter system was used for the purpose of testing the ability of the SDSS system to separate QSO colors from the colors of the stellar locus.

TL;DR: In this article, the authors studied the metallicity distribution and kinematic properties of 4,680 A/F/G/K-type giant stars in the LAMOST spectroscopic survey.