Juliana Kwan

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Large-volume sky surveys have accessed the Universe's vast temporal and spatial expanse via a remarkable set of measurements, and many more are sure to follow. To make new predictions for these cosmological observations and to properly interpret them, large-scale numerical simulation and modeling has become an essential tool. Here, the authors discuss(More)
Mesh tessellations are indispensable tools for analyzing point data because they transform sparse discrete samples into dense continuous functions. Meshing the output of petascale simulations, however, can be as data-intensive as the simulations themselves and often must be executed in parallel on the same supercomputers in order to fit in memory. To date,(More)
While modern cosmology, founded in the language of general relativity, is almost a century old, the meaning of the expansion of space is still being debated. In this paper, the question of radar ranging in an expanding universe is examined, focusing upon light travel times during the ranging; it has recently been claimed that this proves that space(More)
Fundamental inequalities for QCD sum-rules are applied to resolve a paradox recently encountered in a sum-rule calculation [1]. This paradox was encountered in a toy model known to be free of resonances that yields an apparent resonance using a standard sum-rule stability analysis. Application of the inequalities does not support the existence of a well(More)
Amol Upadhye, Juliana Kwan, Adrian Pope, Katrin Heitmann, 4, 5 Salman Habib, 4, 5 Hal Finkel, and Nicholas Frontiere 7 Department of Physics, University of Wisconsin–Madison, 1150 University Avenue, Madison, WI 53706 Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 High Energy Physics Division, Argonne National(More)
Mesh tessellations are effective constructs for the visualization and analysis of point data, because they transform sparse discrete samples into dense and continuous functions. We present a prototype method for computing a Voronoi tessellation in parallel from large particle datasets; the same method, in principle, is applicable to the Delaunay. Computing(More)
The Fractal Bubble model has been proposed as a viable cosmology that does not require dark energy to account for cosmic acceleration, but rather attributes its observational signature to the formation of structure. In this paper it is demonstrated that, in contrast to previous findings, this model is not a good fit to cosmological supernovae data; there is(More)
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