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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: In this article, a thermodynamic brush was grown via surface-initiated atom-transfer radical polymerization from micropatterned substrates, and atomic force microscopy both in topography and adhesion force mode showed that the brush domains undergo reversible phase changes around the polymer's lower critical solution temperature.
Abstract: Thermoresponsive polymer brushes have been grown via surface-initiated atom-transfer radical polymerization from micropatterned substrates (see Figure). Atomic force microscopy both in topography and adhesion force mode shows that the brush domains undergo reversible phase changes in water around the polymer’s lower critical solution temperature. These switchable patterned surfaces may form a new class of microdevices.

335 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined the relationship between Corporate Social Performance (CSP) and corporate financial performance (CFP), using both accounting-based (Return on Assets and Return on Capital) and market based (Excess Stock Returns) performance indicators.

334 citations

Journal ArticleDOI
TL;DR: In this paper, a review of the "attraction versus production" debate on artificial reefs is presented, highlighting the key role of design in determining a reef's effectiveness and identifying a number of lines of enquiry for future research.

326 citations

Journal ArticleDOI
TL;DR: This modelling study suggests that ingestion of microplastic does not provide a quantitatively important additional pathway for the transfer of adsorbed chemicals from seawater to biota via the gut.

325 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed the anisotropic clustering of the Baryon Oscillation Spectroscopic Survey (BOSS) CMASS Data Release 11 (DR11) sample, which consists of 690 827 galaxies in the redshift range 0.43 ± 0.7 and has a sky coverage of 8498 deg^2.
Abstract: We analyse the anisotropic clustering of the Baryon Oscillation Spectroscopic Survey (BOSS) CMASS Data Release 11 (DR11) sample, which consists of 690 827 galaxies in the redshift range 0.43 < z < 0.7 and has a sky coverage of 8498 deg^2. We perform our analysis in Fourier space using a power spectrum estimator suggested by Yamamoto et al. We measure the multipole power spectra in a self-consistent manner for the first time in the sense that we provide a proper way to treat the survey window function and the integral constraint, without the commonly used assumption of an isotropic power spectrum and without the need to split the survey into subregions. The main cosmological signals exploited in our analysis are the baryon acoustic oscillations and the signal of redshift space distortions, both of which are distorted by the Alcock–Paczynski effect. Together, these signals allow us to constrain the distance ratio D_V(z_eff)/r_s(z_d) = 13.89 ± 0.18, the Alcock–Paczynski parameter F_AP(z_eff) = 0.679 ± 0.031 and the growth rate of structure f (z_eff)σ_8(z_eff) = 0.419 ± 0.044 at the effective redshift z_eff = 0.57. We emphasize that our constraints are robust against possible systematic uncertainties. In order to ensure this, we perform a detailed systematics study against CMASS mock galaxy catalogues and N-body simulations. We find that such systematics will lead to 3.1 per cent uncertainty for fσ_8 if we limit our fitting range to k = 0.01–0.20 h Mpc^−1, where the statistical uncertainty is expected to be three times larger. We did not find significant systematic uncertainties for D_V/r_s or F_AP. Combining our data set with Planck to test General Relativity (GR) through the simple γ-parametrization, where the growth rate is given by $f(z) = \Omega ^{\gamma }_{\rm m}(z)$, reveals a ∼2σ tension between the data and the prediction by GR. The tension between our result and GR can be traced back to a tension in the clustering amplitude σ_8 between CMASS and Planck.

325 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