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Institution

University of Wisconsin–Milwaukee

EducationMilwaukee, Wisconsin, United States
About: University of Wisconsin–Milwaukee is a education organization based out in Milwaukee, Wisconsin, United States. It is known for research contribution in the topics: Population & Gravitational wave. The organization has 11839 authors who have published 28034 publications receiving 936438 citations. The organization is also known as: UWM & University of Wisconsin-Milwaukee.


Papers
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Journal ArticleDOI
J. Abraham1, P. Abreu2, Marco Aglietta3, C. Aguirre  +449 moreInstitutions (69)
09 Nov 2007-Science
TL;DR: In this article, the authors demonstrate that there is a correlation between the arrival directions of cosmic rays with energy above 6 x 10{sup 19} eV and the positions of active galactic nuclei lying within 75 Mpc.
Abstract: Using data collected at the Pierre Auger Observatory during the past 3.7 years, we demonstrate that there is a correlation between the arrival directions of cosmic rays with energy above {approx} 6 x 10{sup 19} eV and the positions of active galactic nuclei (AGN) lying within {approx} 75 Mpc. We reject the hypothesis of an isotropic distribution of these cosmic rays at over 99% confidence level from a prescribed a priori test. The correlation we observe is compatible with the hypothesis that the highest energy particles originate from nearby extragalactic sources whose flux has not been significantly reduced by interaction with the cosmic background radiation. AGN or objects having a similar spatial distribution are possible sources.

798 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, M. R. Abernathy3  +719 moreInstitutions (86)
Abstract: The second-generation of gravitational-wave detectors are just starting operation, and have already yielding their first detections. Research is now concentrated on how to maximize the scientific potential of gravitational-wave astronomy. To support this effort, we present here design targets for a new generation of detectors, which will be capable of observing compact binary sources with high signal-to-noise ratio throughout the Universe.

796 citations

Journal ArticleDOI
TL;DR: Standardized procedures for the Nine Hole Peg Test of finger dexterity were established, females scored slightly better than males, finger dexterity decreased with age, and right-hand and left-hand dominant subjects demonstrated minimal differences in performance.
Abstract: The purposes of this study were to establish standardized procedures for the Nine Hole Peg Test of finger dexterity, to evaluate its reliability and validity, and to establish new clinical norms based on these standardized procedures. For the reliability and validity study, 26 female occupational therapy students were tested Very high interrater reliability (right r = .97, left r = .99) was found Test-retest reliability was reported to be moderate to high (right r = .69, left r = .43) and a significant practice effect was found between the test and retest occasions. Possible variables that may have affected these results are discussed To evaluate concurrent validity, the Nine Hole Peg Test was compared to the Purdue Pegboard. The observed correlations (right r = −.61, left r = −.53) indicated that the tests are similar but not equivalent tests of finger dexterity. For the normative data study, 628 normal subjects from 20 to 94 years were tested Data were stratified by sex and by 12 age groups to allow the...

790 citations

Journal ArticleDOI
TL;DR: This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies.
Abstract: The Advanced LIGO and Advanced Virgo gravitational-wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star–black hole binary and a binary black hole, where we show a cross comparison of results obtained using three independent sampling algorithms. These systems were analyzed with nonspinning, aligned spin and generic spin configurations respectively, showing that consistent results can be obtained even with the full 15-dimensional parameter space of the generic spin configurations. We also demonstrate statistically that the Bayesian credible intervals we recover correspond to frequentist confidence intervals under correct prior assumptions by analyzing a set of 100 signals drawn from the prior. We discuss the computational cost of these algorithms, and describe the general and problem-specific sampling techniques we have used to improve the efficiency of sampling the compact binary coalescence parameter space.

781 citations

Journal ArticleDOI
TL;DR: An overview of some of the research published regarding the use of scrap-tires in portland cement concrete and the benefits of using magnesium oxychloride cement as a binder for rubberized concrete mixtures are presented.

772 citations


Authors

Showing all 11948 results

NameH-indexPapersCitations
Caroline S. Fox155599138951
Mark D. Griffiths124123861335
Benjamin William Allen12480787750
James A. Dumesic11861558935
Richard O'Shaughnessy11446277439
Patrick Brady11044273418
Laura Cadonati10945073356
Stephen Fairhurst10942671657
Benno Willke10950874673
Benjamin J. Owen10835170678
Kenneth H. Nealson10848351100
P. Ajith10737270245
Duncan A. Brown10756768823
I. A. Bilenko10539368801
F. Fidecaro10556974781
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022194
20211,150
20201,189
20191,085
20181,141