Athol Kemball

2020

Di Wen, Athol J. Kemball, and William C. Saslaw (2020): Halo counts-in-cells for cosmological models with different dark energy, Astrophysical Journal, American Astronomical Society, Vol 890, Num 2, pp160
Jamila Taaki, Farzad Kamalabadi, and Athol J. Kemball (2020): Bayesian Methods for Joint Exoplanet Transit Detection and Systematic Noise Characterization, Astronomical Journal, The American Astronomical Society, Vol 159, Num 6, pp283

2016

Yashar D. Hezaveh and Neal Dalal and Daniel P. Marrone and Yao-Yuan Mao and Warren Morningstar and Di Wen and Roger D. Blandford and John E. Carlstrom and Christopher D. Fassnacht and Gilbert P. Holder and Athol Kemball and Philip J. Marshall and Norman Murray and Laurence Perreault Levasseur and Joaquin D. Vieira and Risa H. Wechsler (2016): Detection of Lensing Substructure Using Alma Observations of the Dusty Galaxy SDP.81, Astrophysical Journal, American Astronomical Society, Vol 823, Num 1, pp37

2019

Athol J. Kemball, Di Wen, Michael Katolik, Samantha Thrush, Jamila Serena Taaki (2019): Data- and Compute-Intensive Challenges for Observational Astronomy in the Great Survey Era, 2019 Blue Waters Annual Report, pp42-43

2015

Athol Kemball (2015): New Techniques for Pixel-Level Fidelity Assessment in Interferometric Images, 2015 Blue Waters Annual Report, pp90-91

Di Wen: Counts-in-cells distribution of dark matter halos


12th Great Lakes Cosmology Workshop: Large Scale Structure from Surveys; Rochester, New York, U.S.A., Aug 7, 2019

Di Wen: Counts-in-cells Distribution of Dark Matter Halos


Great Lakes Cosmology Workshop, Rochester, NY, U.S.A. (Rochester Institute of Technology), Aug 7, 2019

Edward Seidel, G. Allen, M. Freemon, C.F. Gammie, A.J. Kemball, R. Pennington, and D. Petravick: Computing and Data Challenges for Multi-Messenger Astronomy


The American Astronomical Society Topical Conference Series 2 (AASTCS 2), Exascale Radio Astronomy 2014; Monterey, California, U.S.A., Apr 1, 2014

The 21st: #BlackScienceMatters, & A New Galaxy Unveiled


Apr 18, 2016

A multimedia journalism project sheds a light the lack of representation of African-Americans in the sciences and engineering. We discussed what's being done about it. Also, we spoke with the researchers who discovered a new "dark galaxy" four billion light-years away.


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Newly Discovered Galaxy Is 4 Billion Light Years From Earth


Apr 18, 2016

This really is a galaxy far, far away. A hidden dwarf dark galaxy was discovered four billion light years away from Earth by astrophysicists at Stanford. The dwarf galaxy appears as a "tiny halo companion of a much larger galaxy," according to researchers. A new paper about the discovery will be published in the Astrophysical Journal. ... After capturing an image through gravitational lensing, researchers then used thousands of computers, including the supercomputer Blue Waters at the National Science Foundation, to determine the existence of the hidden dwarf galaxy.


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University of Illinois researchers help discover ‘dark galaxy’


Apr 14, 2016

Researchers have uncovered the existence of a dwarf "dark galaxy" lurking nearly 4 billion light-years away from Earth. The discovery was made when a team of researchers, including astronomers at the University of Illinois, using the Blue Waters supercomputer at the National Center for Supercomputing Applications (NCSA), noticed subtle distortions in the image of gravitational lens SDP.81. The discovery paves the way to spot many more such objects, which could help astronomers address important questions on the true nature of dark matter.


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12 Illinois faculty awarded prestigious Blue Waters Professorships


Feb 4, 2014

Twelve University of Illinois faculty members from a range of fields have been selected as Blue Waters Professors, an honor that comes with substantial computing and data resources on the Blue Waters supercomputer at the university’s National Center for Supercomputing Applications (NCSA).


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22 Illinois projects receive time on Blue Waters


Jun 11, 2013

The University of Illinois at Urbana-Champaign has awarded access to the Blue Waters supercomputer—which is capable of performing quadrillions of calculations every second and of working with quadrillions of bytes of data—to 22 campus research teams from a wide range of disciplines. The computing and data capabilities of Blue Waters, which is operated by the National Center for Supercomputing Applications (NCSA), will assist researchers in their work on understanding DNA, developing biofuels, simulating climate, and more.


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