The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

Kavli Affiliate: Mark Vagins | First 5 Authors: LBNE Collaboration, Corey Adams, David Adams, Tarek Akiri, Tyler Alion | Summary: The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay — these mysteries at the forefront […]


Continue.. The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

Kavli Affiliate: Mark Vagins | First 5 Authors: LBNE Collaboration, Corey Adams, David Adams, Tarek Akiri, Tyler Alion | Summary: The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay — these mysteries at the forefront […]


Continue.. The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

The Roche limit for close-orbiting planets: Minimum density, composition constraints, and application to the 4.2-hour planet KOI 1843.03

Kavli Affiliate: Alan Levine | First 5 Authors: Saul Rappaport, Roberto Sanchis-Ojeda, Leslie A. Rogers, Alan Levine, Joshua N. Winn | Summary: The requirement that a planet must orbit outside of its Roche limit gives a lower limit on the planet’s mean density. The minimum density depends almost entirely on the orbital period and is […]


Continue.. The Roche limit for close-orbiting planets: Minimum density, composition constraints, and application to the 4.2-hour planet KOI 1843.03

Physical Principles for Scalable Neural Recording

Kavli Affiliate: Mikhail G. Shapiro | First 5 Authors: Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire, Mikhail G. Shapiro, Thaddeus R. Cybulski | Summary: Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entirely new approaches may […]


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Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

Kavli Affiliate: Erotokritos Katsavounidis | First 5 Authors: Rahul Biswas, Lindy Blackburn, Junwei Cao, Reed Essick, Kari Alison Hodge | Summary: The sensitivity of searches for astrophysical transients in data from the LIGO is generally limited by the presence of transient, non-Gaussian noise artifacts, which occur at a high-enough rate such that accidental coincidence across […]


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Planck 2013 results X. Energetic particle effects: characterization, removal, and simulation

Kavli Affiliate: E. P. S. Shellard | First 5 Authors: Planck Collaboration, P. A. R. Ade, N. Aghanim, C. Armitage-Caplan, M. Arnaud | Summary: We describe the detection, interpretation, and removal of the signal resulting from interactions of high energy particles with the Planck High Frequency Instrument (HFI). There are two types of interactions: heating […]


Continue.. Planck 2013 results X. Energetic particle effects: characterization, removal, and simulation

Comparison of electromagnetic and gravitational radiation; what we can learn about each from the other

Kavli Affiliate: John W. Belcher | First 5 Authors: Richard H. Price, John W. Belcher, David A. Nichols, , | Summary: We compare the nature of electromagnetic fields and of gravitational fields in linearized general relativity. We carry out this comparison both mathematically and visually. In particular the "lines of force" visualizations of electromagnetism are […]


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Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Kavli Affiliate: Ralf Kaehler | First 5 Authors: Ralf Kaehler, Tom Abel, , , | Summary: Structured Adaptive Mesh Refinement (SAMR) is a popular numerical technique to study processes with high spatial and temporal dynamic range. It reduces computational requirements by adapting the lattice on which the underlying differential equations are solved to most efficiently […]


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