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Institution

University of Portsmouth

EducationPortsmouth, Portsmouth, United Kingdom
About: University of Portsmouth is a education organization based out in Portsmouth, Portsmouth, United Kingdom. It is known for research contribution in the topics: Population & Galaxy. The organization has 5452 authors who have published 14256 publications receiving 424346 citations. The organization is also known as: Portsmouth and Gosport School of Science and Art & Portsmouth and Gosport School of Science and the Arts.


Papers
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Journal ArticleDOI
TL;DR: Results of an analysis of data from the Office for National Statistics Longitudinal Study for England and Wales suggest that conditions in residential area in early life may help to explain relatively poor health experience of populations in some parts of Britain today.

116 citations

Journal ArticleDOI
TL;DR: In this article, the role of wall crystals in ultrasonic refinement of pure magnesium and Mg-3Al-1Zn alloy was examined, where a titanium sonotrode was immersed into the melt for direct ultrasonication at an amplitude of 30 μm and a typical frequency of 20 kHz.

116 citations

Book
24 May 2010
TL;DR: In this article, ARFIMAX models for the daily S&P500 log-returns are estimated, whereas the intraday prices comprise the dataset for an ARIMAX model.
Abstract: ARCH models for the daily S&P500 log-returns are estimated, whereas the intraday prices comprise the dataset for an ARFIMAX model. Model’s forecasting performance is statistically superior when the CBOE’s VIX index is incorporated as an explanatory variable.

116 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3  +1257 moreInstitutions (142)
TL;DR: The null result constrains the coalescence rate of monochromatic (delta function) distributions of nonspinning in primordial black hole binary formation scenario and strengthens the presently placed bounds from microlensing surveys of massive compact halo objects (MACHOs) provided by the MACHO and EROS Collaborations.
Abstract: We present a search for subsolar mass ultracompact objects in data obtained during Advanced LIGO’s second observing run. In contrast to a previous search of Advanced LIGO data from the first observing run, this search includes the effects of component spin on the gravitational waveform. We identify no viable gravitational-wave candidates consistent with subsolar mass ultracompact binaries with at least one component between 0.2 M⊙–1.0 M⊙. We use the null result to constrain the binary merger rate of (0.2 M⊙, 0.2 M⊙) binaries to be less than 3.7×105 Gpc-3 yr-1 and the binary merger rate of (1.0 M⊙, 1.0 M⊙) binaries to be less than 5.2×103 Gpc-3 yr-1. Subsolar mass ultracompact objects are not expected to form via known stellar evolution channels, though it has been suggested that primordial density fluctuations or particle dark matter with cooling mechanisms and/or nuclear interactions could form black holes with subsolar masses. Assuming a particular primordial black hole (PBH) formation model, we constrain a population of merging 0.2 M⊙ black holes to account for less than 16% of the dark matter density and a population of merging 1.0 M⊙ black holes to account for less than 2% of the dark matter density. We discuss how constraints on the merger rate and dark matter fraction may be extended to arbitrary black hole population models that predict subsolar mass binaries.

116 citations

Journal ArticleDOI
TL;DR: In this article, discrete dislocation dynamics (DDDDDD) has been used to model the deformation of nickel-based single crystal superalloys with a high volume fraction of precipitates at high temperature.

116 citations


Authors

Showing all 5624 results

NameH-indexPapersCitations
Robert C. Nichol187851162994
Gavin Davies1592036149835
Daniel Thomas13484684224
Will J. Percival12947387752
Claudia Maraston10336259178
I. W. Harry9831265338
Timothy Clark95113753665
Kevin Schawinski9537630207
Ashley J. Ross9024846395
Josep Call9045134196
David A. Wake8921446124
L. K. Nuttall8925354834
Stephen Neidle8945732417
Andrew Lundgren8824957347
Rita Tojeiro8722943140
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202363
2022282
2021961
2020976
2019905
2018850