Robert J. Brunner
Affiliations: | Astronomy | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Astrophysics Physics, Astronomy and AstrophysicsWebsite:
http://www.astro.illinois.edu/people/bigdogGoogle:
"Robert J. Brunner"Bio:
http://www.physics.purdue.edu/alumni/outstanding_alumni/Brunner.html
Parents
Sign in to add mentorAlexander Sándor Szalay | grad student | 1997 | Johns Hopkins | |
(A statistical approach to quantifying the evolution of galaxies.) | ||||
S. George Djorgovski | post-doc | 1997-2002 | Caltech | |
Thomas A. (Tom) Prince | post-doc | 1997-2002 | Caltech |
Children
Sign in to add traineeBritt F. Lundgren | grad student | 2009 | UIUC |
Natalie E. Strand | grad student | 2009 | UIUC |
Troy L. Hacker | grad student | 2011 | UIUC |
Brett P. Hayes | grad student | 2012 | UIUC |
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Publications
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Sevilla-Noarbe I, Hoyle B, Marchã MJ, et al. (2018) Star–galaxy classification in the Dark Energy Survey Y1 data set Monthly Notices of the Royal Astronomical Society. 481: 5451-5469 |
Kim EJ, Brunner RJ. (2017) Star-galaxy Classification Using Deep Convolutional Neural Networks Monthly Notices of the Royal Astronomical Society. 464: 4463-4475 |
Yu W, Kind MC, Brunner RJ. (2017) Vizic: A Jupyter-based interactive visualization tool for astronomical catalogs Astronomy and Computing. 20: 128-139 |
Nord B, Buckley-Geer E, Lin H, et al. (2016) OBSERVATION and CONFIRMATION of SIX STRONG-LENSING SYSTEMS in the DARK ENERGY SURVEY SCIENCE VERIFICATION DATA Astrophysical Journal. 827 |
Asorey J, Kind MC, Sevilla-Noarbe I, et al. (2016) Galaxy clustering with photometric surveys using PDF redshift information Monthly Notices of the Royal Astronomical Society. 459: 1293-1309 |
Kamdar HM, Turk MJ, Brunner RJ. (2016) Machine learning and cosmological simulations - II. Hydrodynamical simulations Monthly Notices of the Royal Astronomical Society. 457: 1162-1179 |
Crocce M, Carretero J, Bauer AH, et al. (2016) Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES science verification data Monthly Notices of the Royal Astronomical Society. 455: 4301-4324 |
Kamdar HM, Turk MJ, Brunner RJ. (2016) Machine learning and cosmological simulations - I. Semi-analytical models Monthly Notices of the Royal Astronomical Society. 455: 642-658 |
Kim EJ, Brunner RJ, Kind MC. (2015) A hybrid ensemble learning approach to star-galaxy classification Monthly Notices of the Royal Astronomical Society. 453: 507-521 |
Newman JA, Abate A, Abdalla FB, et al. (2015) Spectroscopic needs for imaging dark energy experiments Astroparticle Physics. 63: 81-100 |