Institution
Macquarie University
Education•Sydney, New South Wales, Australia•
About: Macquarie University is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.
Topics: Population, Context (language use), Laser, Galaxy, Anxiety
Papers published on a yearly basis
Papers
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Goddard Space Flight Center1, National Center for Atmospheric Research2, Meteorological Service of Canada3, Hadley Centre for Climate Prediction and Research4, Geophysical Fluid Dynamics Laboratory5, Commonwealth Scientific and Industrial Research Organisation6, University of Reading7, Science Applications International Corporation8, Princeton University9, Bureau of Meteorology10, University of Tokyo11, Macquarie University12, University of California, Los Angeles13
TL;DR: A multimodel estimation of the regions on Earth where precipitation is affected by soil moisture anomalies during Northern Hemisphere summer indicates potential benefits of this estimation may include improved seasonal rainfall forecasts.
Abstract: Previous estimates of land-atmosphere interaction (the impact of soil moisture on precipitation) have been limited by a lack of observational data and by the model dependence of computational estimates. To counter the second limitation, a dozen climate-modeling groups have recently performed the same highly controlled numerical experiment as part of a coordinated comparison project. This allows a multimodel estimation of the regions on Earth where precipitation is affected by soil moisture anomalies during Northern Hemisphere summer. Potential benefits of this estimation may include improved seasonal rainfall forecasts.
2,522 citations
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TL;DR: Three of the most popular tasks used to study discriminability are discussed, together with the measures that SDT prescribes for quantifying performance in these tasks.
Abstract: Signal detection theory (SDT) may be applied to any area of psychology in which two different types of stimuli must be discriminated. We describe several of these areas and the advantages that can be realized through the application of SDT. Three of the most popular tasks used to study discriminability are then discussed, together with the measures that SDT prescribes for quantifying performance in these tasks. Mathematical formulae for the measures are presented, as are methods for calculating the measures with lookup tables, computer software specifically developed for SDT applications, and general purpose computer software (including spreadsheets and statistical analysis software).
2,438 citations
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TL;DR: In this article, a large-scale correlation function of the 6dF Galaxy Survey (6dFGS) and detect a baryon acoustic oscillation (BAO) signal at 105h −1 Mpc was analyzed.
Abstract: We analyse the large-scale correlation function of the 6dF Galaxy Survey (6dFGS) and detect a baryon acoustic oscillation (BAO) signal at 105h −1 Mpc. The 6dFGS BAO detection allows us to constrain the distance–redshift relation at zeff = 0.106. We achieve a distance measure of DV (zeff) = 457 ± 27 Mpc and a measurement of the distance ratio, rs(zd)/DV (zeff) = 0.336 ± 0.015 (4.5 per cent precision), where rs(zd) is the sound horizon at the drag epoch zd .T he loweffective redshift of 6dFGS makes it a competitive and independent alternative to Cepheids and low-z supernovae in constraining the Hubble constant. We find a Hubble constant of H0 = 67 ± 3.2 km s −1 Mpc −1 (4.8 per cent precision) that depends only on theWilkinson Microwave Anisotropy Probe-7 (WMAP-7) calibration of the sound horizon and on the galaxy clustering in 6dFGS. Compared to earlier BAO studies at higher redshift, our analysis is less dependent on other cosmological parameters. The sensitivity to H0 can be used to break the degeneracy between the dark energy equation of state parameter w and H0 in the cosmic microwave background data. We determine that w =− 0.97 ± 0.13, using only WMAP-7 and BAO data from both 6dFGS and Percival et al. (2010). We also discuss predictions for the large-scale correlation function of two future wide-angle surveys: the Wide field ASKAP L-band Legacy All-sky Blind surveY (WALLABY) blind H I survey (with the Australian Square Kilometre Array Pathfinder, ASKAP) and the proposed Transforming Astronomical Imaging surveys through Polychromatic Analysis of Nebulae (TAIPAN) all-southern-sky optical galaxy survey with the UK Schmidt Telescope. We find that both surveys are very likely to yield detections of the BAO peak, making WALLABY the first radio galaxy survey to do so. We also predict that TAIPAN has the potential to constrain the Hubble constant with 3 per cent precision.
2,435 citations
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TL;DR: In this article, in-situ LAM-MC-ICPMS microanalysis shows large variations in 176Hf/177Hf (up to 15 eHf units) between zircons of different growth stages within a single rock, and between zones within single zircon grains, suggesting that each of the observed magmas in both complexes developed through hybridisation of ≥2 magmas with different sources.
2,292 citations
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TL;DR: A comprehensive survey on the compositional properties of LDL relevant for its susceptibility to oxidation, on the mechanism and kinetics of LDL oxidation, and on the chemical and physico-chemical properties of HDL oxidized by exposure to copper ions is provided.
2,289 citations
Authors
Showing all 14346 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 171 | 2644 | 153049 |
Peter B. Reich | 159 | 790 | 110377 |
Nicholas J. Talley | 158 | 1571 | 90197 |
John R. Hodges | 149 | 812 | 82709 |
Thomas J. Smith | 140 | 1775 | 113919 |
Andrew G. Clark | 140 | 823 | 123333 |
Joss Bland-Hawthorn | 136 | 1114 | 77593 |
John F. Thompson | 132 | 1420 | 95894 |
Xin Wang | 121 | 1503 | 64930 |
William L. Griffin | 117 | 862 | 61494 |
Richard Shine | 115 | 1096 | 56544 |
Ian T. Paulsen | 112 | 354 | 69460 |
Jianjun Liu | 112 | 1040 | 71032 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
Richard A. Bryant | 109 | 769 | 43971 |