Institution
Swinburne University of Technology
Education•Melbourne, Victoria, Australia•
About: Swinburne University of Technology is a education organization based out in Melbourne, Victoria, Australia. It is known for research contribution in the topics: Galaxy & Population. The organization has 7223 authors who have published 25530 publications receiving 667955 citations. The organization is also known as: Swinburne Technical College & Swinburne College of Technology.
Topics: Galaxy, Population, Redshift, Star formation, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: This paper compares MC/DC, MUMCUT and several other related coverage criteria for logical decisions by both formal and empirical analysis, focusing on the fault-detecting ability of test sets satisfying these testing criteria.
281 citations
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University of Queensland1, Swinburne University of Technology2, Australian Astronomical Observatory3, University of Sydney4, California Institute of Technology5, University of Chicago6, Australia Telescope National Facility7, Carnegie Institution for Science8, University of British Columbia9, University of Toronto10
TL;DR: In this paper, the WiggleZ Dark Energy Survey (WiggleZ) data were used to assess several different methods for modeling the theoretical power spectrum, testing them against the Gigaparsec Wigglez simulations (GiggleZ).
Abstract: This paper presents cosmological results from the final data release of the WiggleZ Dark Energy Survey. We perform full analyses of different cosmological models using the WiggleZ power spectra measured at z=0.22, 0.41, 0.60, and 0.78, combined with other cosmological data sets. The limiting factor in this analysis is the theoretical modeling of the galaxy power spectrum, including nonlinearities, galaxy bias, and redshift-space distortions. In this paper we assess several different methods for modeling the theoretical power spectrum, testing them against the Gigaparsec WiggleZ simulations (GiggleZ). We fit for a base set of six cosmological parameters, {Ω_(b)h^2,Ω_(CDM)h^2,H_0,τ,A_s,n_s}, and five supplementary parameters {n_(run),r,w,Ω_k,∑m_ν}. In combination with the cosmic microwave background, our results are consistent with the ΛCDM concordance cosmology, with a measurement of the matter density of Ωm=0.29±0.016 and amplitude of fluctuations σ_8=0.825±0.017. Using WiggleZ data with cosmic microwave background and other distance and matter power spectra data, we find no evidence for any of the extension parameters being inconsistent with their ΛCDM model values. The power spectra data and theoretical modeling tools are available for use as a module for CosmoMC, which we here make publicly available at http://smp.uq.edu.au/wigglez-data. We also release the data and random catalogs used to construct the baryon acoustic oscillation correlation function.
280 citations
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Monash University1, Australia Telescope National Facility2, University of California, San Diego3, University of Manchester4, Swinburne University of Technology5, Curtin University6, California Institute of Technology7, Peking University8, Max Planck Society9, Bielefeld University10, University of Melbourne11, Chinese Academy of Sciences12, University of Western Australia13, Southwest University14
TL;DR: In this article, the Parkes Pulsar Timing Array was used to estimate the parallax of 20 millisecond pulsars, including the first significant measurements of some post-Keplerian orbital parameters in six binary pulsars.
Abstract: We present timing models for 20 millisecond pulsars in the Parkes Pulsar Timing Array. The precision of the parameter measurements in these models has been improved over earlier results by using longer data sets and modelling the non-stationary noise. We describe a new noise modelling procedure and demonstrate its effectiveness using simulated data. Our methodology includes the addition of annual dispersion measure (DM) variations to the timing models of some pulsars. We present the first significant parallax measurements for PSRs J1024-0719, J1045-4509, J1600-3053, J1603-7202, and J1730-2304, as well as the first significant measurements of some post-Keplerian orbital parameters in six binary pulsars, caused by kinematic effects. Improved Shapiro delay measurements have resulted in much improved pulsar mass measurements, particularly for PSRs J0437-4715 and J1909-3744 with M-p = 1.44 +/- 0.07 and 1.47 +/- 0.03 M-circle dot, respectively. The improved orbital period-derivative measurement for PSR J0437-4715 results in a derived distance measurement at the 0.16 per cent level of precision, D = 156.79 +/- 0.25 pc, one of the most fractionally precise distance measurements of any star to date.
280 citations
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TL;DR: The reliability of the MSCEIT V2.0 has been examined in this article, showing that there is a high level of convergence between the alternative scoring methods (consensus and expert).
279 citations
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TL;DR: In this article, 21 cm intensity maps acquired at the Green Bank Telescope are cross-correlated with large-scale structure traced by galaxies in the WiggleZ Dark Energy Survey.
Abstract: In this Letter, 21 cm intensity maps acquired at the Green Bank Telescope are cross-correlated with large-scale structure traced by galaxies in the WiggleZ Dark Energy Survey. The data span the redshift range 0.6 < z < 1 over two fields totaling {approx}41 deg. sq. and 190 hr of radio integration time. The cross-correlation constrains {Omega}{sub HI} b{sub HI} r = [0.43 {+-} 0.07(stat.) {+-} 0.04(sys.)] Multiplication-Sign 10{sup -3}, where {Omega}{sub HI} is the neutral hydrogen (H I) fraction, r is the galaxy-hydrogen correlation coefficient, and b{sub HI} is the H I bias parameter. This is the most precise constraint on neutral hydrogen density fluctuations in a challenging redshift range. Our measurement improves the previous 21 cm cross-correlation at z {approx} 0.8 both in its precision and in the range of scales probed.
279 citations
Authors
Showing all 7390 results
Name | H-index | Papers | Citations |
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Ramachandran S. Vasan | 172 | 1100 | 138108 |
Karl Glazebrook | 132 | 613 | 80150 |
Neville Owen | 127 | 700 | 74166 |
Michael A. Kamm | 124 | 637 | 53606 |
Zidong Wang | 122 | 914 | 50717 |
Christos Pantelis | 120 | 723 | 56374 |
Warrick J. Couch | 109 | 410 | 63088 |
Gao Qing Lu | 108 | 546 | 53914 |
Paul Mulvaney | 106 | 397 | 45952 |
Alexa S. Beiser | 106 | 366 | 47457 |
A. Roodman | 105 | 1087 | 50599 |
Chris Power | 104 | 477 | 45321 |
Murray D. Esler | 104 | 469 | 41929 |
David Coward | 103 | 400 | 67118 |
Hung T. Nguyen | 102 | 1011 | 47693 |