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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.


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Journal ArticleDOI
Shadab Alam1, Marie Aubert, Santiago Avila2, Christophe Balland3, Julian E. Bautista4, Matthew A. Bershady5, Matthew A. Bershady6, Dmitry Bizyaev7, Dmitry Bizyaev8, Michael R. Blanton9, Adam S. Bolton10, Jo Bovy11, Jonathan Brinkmann7, Joel R. Brownstein10, Etienne Burtin12, Solène Chabanier12, Michael J. Chapman13, Peter Doohyun Choi14, Chia-Hsun Chuang15, Johan Comparat16, M. C. Cousinou, Andrei Cuceu17, Kyle S. Dawson10, Sylvain de la Torre, Arnaud de Mattia12, Victoria de Sainte Agathe3, Hélion du Mas des Bourboux10, Stephanie Escoffier, Thomas Etourneau12, James Farr17, Andreu Font-Ribera17, Peter M. Frinchaboy18, S. Fromenteau19, Héctor Gil-Marín20, Jean Marc Le Goff12, Alma X. Gonzalez-Morales21, Alma X. Gonzalez-Morales22, Violeta Gonzalez-Perez23, Violeta Gonzalez-Perez4, Kathleen Grabowski7, Julien Guy24, Adam J. Hawken, Jiamin Hou16, Hui Kong25, James C. Parker7, Mark A. Klaene7, Jean-Paul Kneib26, Sicheng Lin9, Daniel Long7, Brad W. Lyke27, Axel de la Macorra19, Paul Martini25, Karen L. Masters28, Faizan G. Mohammad13, Jeongin Moon14, Eva Maria Mueller29, Andrea Muñoz-Gutiérrez19, Adam D. Myers27, Seshadri Nadathur4, Richard Neveux12, Jeffrey A. Newman30, P. Noterdaeme3, Audrey Oravetz7, Daniel Oravetz7, Nathalie Palanque-Delabrouille12, Kaike Pan7, Romain Paviot, Will J. Percival31, Will J. Percival13, Ignasi Pérez-Ràfols3, Patrick Petitjean3, Matthew M. Pieri, Abhishek Prakash32, Anand Raichoor26, Corentin Ravoux12, Mehdi Rezaie33, J. Rich12, Ashley J. Ross25, Graziano Rossi14, Rossana Ruggeri4, Rossana Ruggeri34, V. Ruhlmann-Kleider12, Ariel G. Sánchez16, F. Javier Sánchez35, José R. Sánchez-Gallego36, Conor Sayres36, Donald P. Schneider, Hee-Jong Seo33, Arman Shafieloo37, Anže Slosar38, Alex Smith12, Julianna Stermer3, Amélie Tamone26, Jeremy L. Tinker9, Rita Tojeiro39, Mariana Vargas-Magaña19, Andrei Variu26, Yuting Wang, Benjamin A. Weaver, Anne-Marie Weijmans39, C. Yeche12, Pauline Zarrouk12, Pauline Zarrouk40, Cheng Zhao26, Gong-Bo Zhao, Zheng Zheng10 
TL;DR: In this article, the authors present the cosmological implications from final measurements of clustering using galaxies, quasars, and Lyα forests from the completed SDSS lineage of experiments in large-scale structure.
Abstract: We present the cosmological implications from final measurements of clustering using galaxies, quasars, and Lyα forests from the completed Sloan Digital Sky Survey (SDSS) lineage of experiments in large-scale structure. These experiments, composed of data from SDSS, SDSS-II, BOSS, and eBOSS, offer independent measurements of baryon acoustic oscillation (BAO) measurements of angular-diameter distances and Hubble distances relative to the sound horizon, rd, from eight different samples and six measurements of the growth rate parameter, fσ8, from redshift-space distortions (RSD). This composite sample is the most constraining of its kind and allows us to perform a comprehensive assessment of the cosmological model after two decades of dedicated spectroscopic observation. We show that the BAO data alone are able to rule out dark-energy-free models at more than eight standard deviations in an extension to the flat, ΛCDM model that allows for curvature. When combined with Planck Cosmic Microwave Background (CMB) measurements of temperature and polarization, under the same model, the BAO data provide nearly an order of magnitude improvement on curvature constraints relative to primary CMB constraints alone. Independent of distance measurements, the SDSS RSD data complement weak lensing measurements from the Dark Energy Survey (DES) in demonstrating a preference for a flat ΛCDM cosmological model when combined with Planck measurements. The combined BAO and RSD measurements indicate σ8=0.85±0.03, implying a growth rate that is consistent with predictions from Planck temperature and polarization data and with General Relativity. When combining the results of SDSS BAO and RSD, Planck, Pantheon Type Ia supernovae (SNe Ia), and DES weak lensing and clustering measurements, all multiple-parameter extensions remain consistent with a ΛCDM model. Regardless of cosmological model, the precision on each of the three parameters, ωΛ, H0, and σ8, remains at roughly 1%, showing changes of less than 0.6% in the central values between models. In a model that allows for free curvature and a time-evolving equation of state for dark energy, the combined samples produce a constraint ωk=-0.0022±0.0022. The dark energy constraints lead to w0=-0.909±0.081 and wa=-0.49-0.30+0.35, corresponding to an equation of state of wp=-1.018±0.032 at a pivot redshift zp=0.29 and a Dark Energy Task Force Figure of Merit of 94. The inverse distance ladder measurement under this model yields H0=68.18±0.79 km s-1 Mpc-1, remaining in tension with several direct determination methods; the BAO data allow Hubble constant estimates that are robust against the assumption of the cosmological model. In addition, the BAO data allow estimates of H0 that are independent of the CMB data, with similar central values and precision under a ΛCDM model. Our most constraining combination of data gives the upper limit on the sum of neutrino masses at mν<0.115 eV (95% confidence). Finally, we consider the improvements in cosmology constraints over the last decade by comparing our results to a sample representative of the period 2000-2010. We compute the relative gain across the five dimensions spanned by w, ωk, mν, H0, and σ8 and find that the SDSS BAO and RSD data reduce the total posterior volume by a factor of 40 relative to the previous generation. Adding again the Planck, DES, and Pantheon SN Ia samples leads to an overall contraction in the five-dimensional posterior volume of 3 orders of magnitude.

575 citations

01 Jan 2003
TL;DR: The steps in the method are demonstrated and the difficulties encountered in applying Grounded Theory (GT) are described to inform the reader of the realities of the approach.
Abstract: Grounded Theory is a powerful research method for collecting and analysing research data. It was 'discovered' by Glaser & Strauss (1967) in the 1960s but is still not widely used or understood by researchers in some industries or PhD students in some science disciplines. This paper demonstrates the steps in the method and describes the difficulties encountered in applying Grounded Theory (GT). A fundamental part of the analysis method in GT is the derivation of codes, concepts and categories. Codes and coding are explained and illustrated in Section 3. Merging the codes to discover emerging concepts is a central part of the GT method and is shown in Section 4. Glaser and Strauss's constant comparison step is applied and illustrated so that the emerging categories can be seen coming from the concepts and leading to the emergent theory grounded in the data in Section 5. However, the initial applications of the GT method did have difficulties. Problems encountered when using the method are described to inform the reader of the realities of the approach. The data used in the illustrative analysis comes from recent IS/IT Case Study research into configuration management (CM) and the use of commercially available computer products (COTS). Why and how the GT approach was appropriate is explained in Section 6. However, the focus is on reporting GT as a research method rather than the results of the Case Study.

573 citations

Journal ArticleDOI
TL;DR: An overview of meta-heuristics methods utilized within the paradigm of multi-objective programming, which has undergone substantial expansion and development in the past decade is given.

571 citations

Journal ArticleDOI
TL;DR: In this paper, the authors search for excess gamma-ray emission coincident with the positions of confirmed and candidate Milky Way satellite galaxies using six years of data from the Fermi Large Area Telescope (LAT).
Abstract: We search for excess gamma-ray emission coincident with the positions of confirmed and candidate Milky Way satellite galaxies using six years of data from the Fermi Large Area Telescope (LAT). Our sample of 45 stellar systems includes 28 kinematically confirmed dark-matter-dominated dwarf spheroidal galaxies (dSphs) and 17 recently discovered systems that have photometric characteristics consistent with the population of known dSphs. For each of these targets, the relative predicted gamma-ray flux due to dark matter annihilation is taken from kinematic analysis if available, and estimated from a distance-based scaling relation otherwise, assuming that the stellar systems are DM-dominated dSphs. LAT data coincident with four of the newly discovered targets show a slight preference (each ~ 2sigma local) for gamma-ray emission in excess of the background. However, the ensemble of derived gamma-ray flux upper limits for individual targets is consistent with the expectation from analyzing random blank-sky regions, and a combined analysis of the population of stellar systems yields no globally significant excess (global significance < 1sigma ). Our analysis has increased sensitivity compared to the analysis of 15 confirmed dSphs by Ackermann et al. The observed constraints on the DM annihilation cross section are statistically consistent with the background expectation, improving by a factor of ~2 for large DM masses ({m}{DM,b\bar{b}}≳ 1 {TeV} and {m}{DM,{tau }+{tau }-}≳ 70 {GeV}) and weakening by a factor of ~1.5 at lower masses relative to previously observed limits.

562 citations

Book
01 Jan 2008
TL;DR: Early Deceiving: Lying, Faking, and Pretending as discussed by the authors is a common early deception technique in the early stages of early childhood development, where lying, faking and pretending are common strategies.
Abstract: * Acknowledgments *1. A Puzzle *2. Minding the Gap *3. A Second-Person Approach *4. Neonatal Imitation: First Contact *5. Early Conversations *6. Feeling Attention *7. Self-Consciousness *8. Playing with Intentions *9. Sharing Funniness *10. Early Deceiving: Lying, Faking, and Pretending *11. Other Minds and Other Cultures * Notes * Index

558 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