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Institution

Australian National University

EducationCanberra, Australian Capital Territory, Australia
About: Australian National University is a education organization based out in Canberra, Australian Capital Territory, Australia. It is known for research contribution in the topics: Population & Galaxy. The organization has 34419 authors who have published 109261 publications receiving 4315448 citations. The organization is also known as: The Australian National University & ANU.


Papers
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Journal ArticleDOI
TL;DR: Predictors of the attitudinal measure of orientation toward help-seeking for emotional problems have been shown to include demographic, network, and personality variables but gender and willingness to disclose remained significant predictors.

539 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Matthew Abernathy1  +955 moreInstitutions (96)
TL;DR: Following a major upgrade, the two advanced detectors of the Laser Interferometer Gravitational-wave Observatory (LIGO) held their first observation run between September 2015 and January 2016, and observed a transient gravitational-wave signal determined to be the coalescence of two black holes.
Abstract: Following a major upgrade, the two advanced detectors of the Laser Interferometer Gravitational-wave Observatory (LIGO) held their first observation run between September 2015 and January 2016. With a strain sensitivity of $10^{-23}/\sqrt{\mathrm{Hz}}$ at 100 Hz, the product of observable volume and measurement time exceeded that of all previous runs within the first 16 days of coincident observation. On September 14th, 2015 the Advanced LIGO detectors observed a transient gravitational-wave signal determined to be the coalescence of two black holes [Phys. Rev. Lett. 116, 061102 (2016)], launching the era of gravitational-wave astronomy. The event, GW150914, was observed with a combined signal-to-noise ratio of 24 in coincidence by the two detectors. Here we present the main features of the detectors that enabled this observation. At full sensitivity, the Advanced LIGO detectors are designed to deliver another factor of three improvement in the signal-to-noise ratio for binary black hole systems similar in masses to GW150914.

539 citations

Journal ArticleDOI
03 Jan 2013-Nature
TL;DR: Radial velocity measurements reveal that the satellites in this structure have the same sense of rotation about their host, and shows conclusively that substantial numbers of dwarf satellite galaxies share the same dynamical orbital properties and direction of angular momentum.
Abstract: Dwarf satellite galaxies are thought to be the remnants of the population of primordial structures that coalesced to form giant galaxies like the Milky Way. It has previously been suspected that dwarf galaxies may not be isotropically distributed around our Galaxy, because several are correlated with streams of H I emission, and may form coplanar groups. These suspicions are supported by recent analyses. It has been claimed that the apparently planar distribution of satellites is not predicted within standard cosmology, and cannot simply represent a memory of past coherent accretion. However, other studies dispute this conclusion. Here we report the existence of a planar subgroup of satellites in the Andromeda galaxy (M 31), comprising about half of the population. The structure is at least 400 kiloparsecs in diameter, but also extremely thin, with a perpendicular scatter of less than 14.1 kiloparsecs. Radial velocity measurements reveal that the satellites in this structure have the same sense of rotation about their host. This shows conclusively that substantial numbers of dwarf satellite galaxies share the same dynamical orbital properties and direction of angular momentum. Intriguingly, the plane we identify is approximately aligned with the pole of the Milky Way's disk and with the vector between the Milky Way and Andromeda.

539 citations

Journal ArticleDOI
TL;DR: In this paper, the performance of various tests for normality (N), homoscedasticity (H) and serial independence (I) of regression residuals under one, two and three directional departures from HO:u∼NHI was studied.

538 citations

Journal ArticleDOI
24 Jun 2010-Nature
TL;DR: A low-noise, highly efficient quantum memory for light that uses a solid-state medium that allows the storage and recall of light more faithfully than is possible using a classical memory, for weak coherent states at the single-photon level through to bright states of up to 500 photons.
Abstract: Storing and retrieving a quantum state of light on demand, without corrupting the information it carries, is an important challenge in the field of quantum information processing. Classical measurement and reconstruction strategies for storing light must necessarily destroy quantum information as a consequence of the Heisenberg uncertainty principle. There has been significant effort directed towards the development of devices-so-called quantum memories-capable of avoiding this penalty. So far, successful demonstrations of non-classical storage and on-demand recall have used atomic vapours and have been limited to low efficiencies, of less than 17 per cent, using weak quantum states with an average photon number of around one. Here we report a low-noise, highly efficient (up to 69 per cent) quantum memory for light that uses a solid-state medium. The device allows the storage and recall of light more faithfully than is possible using a classical memory, for weak coherent states at the single-photon level through to bright states of up to 500 photons. For input coherent states containing on average 30 photons or fewer, the performance exceeded the no-cloning limit. This guaranteed that more information about the inputs was retrieved from the memory than was left behind or destroyed, a feature that will provide security in communications applications.

538 citations


Authors

Showing all 34925 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
Nicholas G. Martin1921770161952
David R. Williams1782034138789
Krzysztof Matyjaszewski1691431128585
Anton M. Koekemoer1681127106796
Robert G. Webster15884390776
Ashok Kumar1515654164086
Andrew White1491494113874
Bernhard Schölkopf1481092149492
Paul Mitchell146137895659
Liming Dai14178182937
Thomas J. Smith1401775113919
Michael J. Keating140116976353
Joss Bland-Hawthorn136111477593
Harold A. Mooney135450100404
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023280
2022773
20215,261
20205,464
20195,109
20184,825