We measure carbon and nitrogen abundances to ≲ 0.1 dex for 450,000 giant stars from their low-resolution (R∼1800) LAMOST DR2…arXiv:1609.03195
The Astronomical Data group solves hard problems in measurement and discovery. Depending on the context, the challenges in these problems can stem from the sheer size or complexity of the datasets, the precision requirements for measurements, or the subtlety or structure of the signals of interest.
The group develops and maintains advanced tools for the astrophysics community, especially ones for building and using probabilistic or generative models, but it does so by carrying out in-house data analysis projects that answer important scientific questions. Currently the team is concentrating on extrasolar planet discovery and characterization, precision measurement of stellar chemical abundances, and precise mapping of the Milky Way and of large-scale cosmological structure. As new data become available and the challenges evolve, so will the scope of the work. By sharing all its results, and by developing and maintaining open-source software, the Astronomical Data group directly supports scientific reproducibility and open science.
The spatial variations of the velocity field of local stars provide direct evidence of Galactic differential rotation. The local divergence,…Monthly Notices of the Royal Astronomical Society: Letters
One of the most demanding tasks in astronomical image processing—in terms of precision—is the centroiding of stars. Upcoming large surveys…arXiv:1610.05873
Lauren Anderson joined the foundation in 2016 as a postdoctoral fellow at the Center for Computational Astrophysics. She currently works on analyzing large cosmological simulations to understand the formation of galaxies in the early universe and the effect these galaxies had on their local environments.
Megan Bedell joined the foundation in 2017 as a Flatiron Research Fellow at the Center for Computational Astrophysics. Her research broadly covers the discovery of new exoplanets and the characterization of Sun-like stars throughout the galaxy, with a particular focus on the connections between stars…
Daniel Foreman-Mackey joined the foundation in 2017 as an associate research scientist at the Center for Computational Astrophysics. His research focuses on developing novel data-analysis methods and applying them to astronomical survey datasets. Recently, he has been using a combination of data-driven and physically motivated…