783 citations · 14.3k across the 177 of their papers we have counts for
12 papers · 1 filter
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
Brian Nord, Andrew J. Connolly, Jamie Kinney +35
The field of astronomy has arrived at a turning point in terms of size and complexity of both datasets and scientific collaboration. Commensurately, algorithms and statistical mode…
IRAS 09002-4732: A Laboratory for the Formation of Rich Stellar Clusters
Konstantin V. Getman, Eric D. Feigelson, Michael A. Kuhn +2
IRAS 09002-4732 is a poorly studied embedded cluster of stars in the Vela Molecular Ridge at a distance of 1.7kpc. Deep observations with the Chandra X-ray Observatory, combined wi…
Realizing the potential of astrostatistics and astroinformatics
Gwendolyn Eadie, Thomas J. Loredo, Ashish A. Mahabal +12
This Astro2020 State of the Profession Consideration White Paper highlights the growth of astrostatistics and astroinformatics in astronomy, identifies key issues hampering the mat…
Advanced Astrophysics Discovery Technology in the Era of Data Driven Astronomy
Richard K. Barry, Jogesh G. Babu, John G. Baker +12
Experience suggests that structural issues in how institutional Astrophysics approaches data-driven science and the development of discovery technology may be hampering the communi…
Gaia Stellar Kinematics in the Head of the Orion A Cloud: Runaway Stellar Groups and Gravitational Infall
K. V. Getman, E. D. Feigelson, M. A. Kuhn +1
This work extends previous kinematic studies of young stars in the Head of the Orion A cloud (OMC-1/2/3/4/5). It is based on large samples of infrared, optical, and X-ray selected…
AutoRegressive Planet Search: Application to the Kepler Mission
Gabriel A. Caceres, Eric D. Feigelson, G. Jogesh Babu +5
The 4-year light curves of 156,717 stars observed with NASA's Kepler mission are analyzed using the AutoRegressive Planet Search (ARPS) methodology described by Caceres et al. (201…