1.2k citations · 1.4k across the 8 of their papers we have counts for
8 papers
Structure in Galaxy Distribution. III. Fourier Transforming the Universe
Jeffrey D. Scargle, Michael Way, Paul Gazis
We demonstrate the effectiveness of a relatively straightforward analysis of the complex 3D Fourier transform of galaxy coordinates derived from redshift surveys. Numerical demonst…
Structure in the 3D Galaxy Distribution: II. Voids and Watersheds of Local Maxima and Minima
M. J. Way, P. R. Gazis, Jeffrey D. Scargle
The major uncertainties in studies of the multi-scale structure of the Universe arise not from observational errors but from the variety of legitimate definitions and detection met…
Structure in the 3D Galaxy Distribution: I. Methods and Example Results
M. J. Way, P. R. Gazis, Jeffrey D. Scargle
Three methods for detecting and characterizing structure in point data, such as that generated by redshift surveys, are described: classification using self-organizing maps, segmen…
Viewpoints: A high-performance high-dimensional exploratory data analysis tool
P. R. Gazis, C. Levit, M. J. Way
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,…
Kepler Mission Design, Realized Photometric Performance, and Early Science
David G. Koch, William J. Borucki, Gibor Basri +44
The Kepler Mission, launched on Mar 6, 2009 was designed with the explicit capability to detect Earth-size planets in the habitable zone of solar-like stars using the transit photo…
Instrument Performance in Kepler's First Months
Douglas A. Caldwell, Jeffery J. Kolodziejczak, Jeffrey E. Van Cleve +16
The Kepler Mission relies on precise differential photometry to detect the 80 parts per million (ppm) signal from an Earth-Sun equivalent transit. Such precision requires superb in…
New Approaches To Photometric Redshift Prediction Via Gaussian Process Regression In The Sloan Digital Sky Survey
M. J. Way, L. V. Foster, P. R. Gazis +1
Expanding upon the work of Way and Srivastava 2006 we demonstrate how the use of training sets of comparable size continue to make Gaussian process regression (GPR) a competitive a…
Using Bayesian Blocks to Partition Self-Organizing Maps
Paul R. Gazis, Jeffrey D. Scargle
Self organizing maps (SOMs) are widely-used for unsupervised classification. For this application, they must be combined with some partitioning scheme that can identify boundaries…