Jake Vanderplas

TL;DR: This work introduces locally linear embedding to the astronomical community as a new classification technique, using Sloan Digital Sky Survey spectra as an example data set, and presents a data subsampling technique that preserves local information content, and proves effective for creating small, efficient training samples from large, high-dimensional data sets.

TL;DR: In this article, the authors study observable deviations from modified gravity theories in the disks of late-type dwarf galaxies moving under gravity and find four distinct observable effects in such disk galaxies: 1. Warping of the stellar disk along the direction of the external force.

TL;DR: A general analysis package for supernova (SN) light curves, called SNANA, that contains a simulation, a light-curve fitter, and a cosmology fitter that is designed to undergo continual improvements from the community as more is learned about SNe.

TL;DR: In this article, the authors carried out four distinct tests using published data on the kinematics and morphology of dwarf galaxies, motivated by the theoretical work of Hui et al. (2009) and Jain and Vanderplas (2011).