3.5k citations
- University of Illinois Urbana-ChampaignUS1.2k papers
- University of ChicagoUS502 papers
- Centre National de la Recherche ScientifiqueFR487 papers
- University of MichiganUS472 papers
- Stanford UniversityUS458 papers
- Fermi National Accelerator LaboratoryUS456 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS422 papers
- University College LondonGB417 papers
- SLAC National Accelerator LaboratoryUS404 papers
- Institute for High Energy PhysicsES399 papers
- Laboratório Interinstitucional de e-AstronomiaBR386 papers
- The Ohio State UniversityUS385 papers
127 papers · 1 filter
The Influence of Concentration and Dynamical State on Scatter in the Galaxy Cluster Mass-Temperature Relation
H. -Y. Yang, P. M. Ricker, P. M. Sutter
Using a hydrodynamics plus N-body simulation of galaxy cluster formation within a large volume and mock Chandra X-ray observations, we study the form and evolution of the intrinsic…
The Dark Energy Survey Data Management System
Joseph J. Mohr, Wayne Barkhouse, Cristina Beldica +17
The Dark Energy Survey collaboration will study cosmic acceleration with a 5000 deg2 griZY survey in the southern sky over 525 nights from 2011-2016. The DES data management (DESDM…
LSST: from Science Drivers to Reference Design and Anticipated Data Products
Željko Ivezić, Steven M. Kahn, J. Anthony Tyson +310
(Abridged) We describe here the most ambitious survey currently planned in the optical, the Large Synoptic Survey Telescope (LSST). A vast array of science will be enabled by a sin…
Robust Machine Learning Applied to Terascale Astronomical Datasets
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers
We present recent results from the LCDM (Laboratory for Cosmological Data Mining; http://lcdm.astro.uiuc.edu) collaboration between UIUC Astronomy and NCSA to deploy supercomputing…
Robust Machine Learning Applied to Astronomical Datasets III: Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX
Nicholas M. Ball, Robert J. Brunner, Adam D. Myers +3
We apply machine learning in the form of a nearest neighbor instance-based algorithm (NN) to generate full photometric redshift probability density functions (PDFs) for objects in…
Normalization of the Matter Power Spectrum via Higher-Order Angular Correlations of Luminous Red Galaxies
Ashley J. Ross, Robert J. Brunner, Adam D. Myers
We present a novel technique to measure , by measuring the dependence of the second-order bias of a density field on using two separate techniques. Each technique employ…