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Institution

University of St Andrews

EducationSt Andrews, Fife, United Kingdom
About: University of St Andrews is a education organization based out in St Andrews, Fife, United Kingdom. It is known for research contribution in the topics: Population & Laser. The organization has 16260 authors who have published 43364 publications receiving 1636072 citations. The organization is also known as: St Andrews University & University of St. Andrews.
Topics: Population, Laser, Stars, Catalysis, Galaxy


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors investigated the association between the mass roll-out of the first doses of these COVID-19 vaccines and hospital admissions for CoV-19 and found that the first dose of the BNT162b2 mRNA vaccine was associated with a vaccine effect of 91% (95% CI 85-94) for reduced COVID19 hospital admission at 28-34 days post-vaccination.

437 citations

Journal ArticleDOI
TL;DR: Signature whistle copying was rare and did not initiate reunions or specific vocal responses, which strongly support the hypothesis that signature whistles are used to maintain group cohesion.

437 citations

Journal ArticleDOI
TL;DR: Investigating visual cues to age by using facial composites which blend shape and colour information from multiple faces provided an empirical definition of facial changes with age that are biologically consistent across a sample population.
Abstract: This study investigated visual cues to age by using facial composites which blend shape and colour information from multiple faces. Baseline measurements showed that perceived age of adult male faces is on average an accurate index of their chronological age over the age range 20-60 years. Composite images were made from multiple images of different faces by averaging face shape and then blending red, green and blue intensity (RGB colour) across comparable pixels. The perceived age of these composite or blended images depended on the age bracket of the component faces. Blended faces were, however, rated younger than their component faces, a trend that became more marked with increased component age. The techniques used provide an empirical definition of facial changes with age that are biologically consistent across a sample population. The perceived age of a blend of old faces was increased by exaggerating the RGB colour differences of each pixel relative to a blend of young faces. This effect on perceived age was not attributable to enhanced contrast or colour saturation. Age-related visual cues defined from the differences between blends of young and old faces were applied to individual faces. These transformations increased perceived age.

436 citations

Journal ArticleDOI
Mattia Negrello1, Rosalind Hopwood1, G. de Zotti, Asantha Cooray2, Aprajita Verma3, J. J. Bock4, J. J. Bock5, David T. Frayer6, Mark Gurwell7, Alain Omont8, R. Neri, Helmut Dannerbauer9, Lerothodi Leonard Leeuw10, Lerothodi Leonard Leeuw11, Elizabeth J. Barton2, Jeff Cooke2, Jeff Cooke5, S. Kim2, E. da Cunha12, Giulia Rodighiero13, Peter Timothy Cox, D. G. Bonfield14, Matt J. Jarvis14, Steve Serjeant1, Rob Ivison15, Simon Dye16, Itziar Aretxaga17, David H. Hughes17, Edo Ibar, Frank Bertoldi18, Ivan Valtchanov19, Stephen Anthony Eales16, Loretta Dunne20, Simon P. Driver21, Robbie Richard Auld16, S. Buttiglione, Antonio Cava22, Antonio Cava23, C. A. Grady24, David L. Clements25, Aliakbar Dariush16, Jacopo Fritz26, Denis Hill21, J. B. Hornbeck27, Lee S. Kelvin21, Guilaine Lagache28, M. López-Caniego23, J. González-Nuevo, Steve Maddox20, Enzo Pascale16, Michael Pohlen16, E. E. Rigby20, Aaron S. G. Robotham21, Chris Simpson29, Daniel J. Smith20, P. Temi30, Mark Thompson14, B. E. Woodgate24, Donald G. York31, James E. Aguirre32, Alexandre Beelen28, Andrew Blain5, Andrew J. Baker33, Mark Birkinshaw34, R. Blundell7, Charles M. Bradford5, Charles M. Bradford4, Denis Burgarella35, Luigi Danese, James Dunlop, S. Fleuren36, Jason Glenn37, Andrew I. Harris38, Julia Kamenetzky37, Roxana Lupu32, Ronald J. Maddalena6, Barry F. Madore39, P. R. Maloney37, Hideo Matsuhara40, M. J. Michaowski15, Eric J. Murphy, B. J. Naylor4, Hien Nguyen4, Cristina Popescu41, Steve Rawlings3, Dimitra Rigopoulou42, Dimitra Rigopoulou3, Douglas Scott43, Kimberly S. Scott32, Mark Seibert39, Ian Smail44, Richard J. Tuffs45, Joaquin Vieira5, P. van der Werf46, P. van der Werf15, Jonas Zmuidzinas5, Jonas Zmuidzinas4 
05 Nov 2010
TL;DR: Early data from the Herschel Astrophysical Terahertz Large Area Survey are used to demonstrate that wide-area submillimeter surveys can simply and easily detect strong gravitational lensing events, with close to 100% efficiency.
Abstract: Gravitational lensing is a powerful astrophysical and cosmological probe and is particularly valuable at submillimeter wavelengths for the study of the statistical and individual properties of dusty star-forming galaxies. However, the identification of gravitational lenses is often time-intensive, involving the sifting of large volumes of imaging or spectroscopic data to find few candidates. We used early data from the Herschel Astrophysical Terahertz Large Area Survey to demonstrate that wide-area submillimeter surveys can simply and easily detect strong gravitational lensing events, with close to 100% efficiency.

436 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the dependence of galaxy clustering on intrinsic luminos-ity using the 2dFGRS, which is over an order of magnitude larger than previous redshift surveys used to address this issue.
Abstract: We investigate the dependence of the strength of galaxy clustering on intrinsic luminos- ity using the Anglo-Australian two degree field galaxy redshift survey (2dFGRS). The 2dFGRS is over an order of magnitude larger than previous redshift surveys used to address this issue. We measure the projected two-point correlation function of galax- ies in a series of volume-limited samples. The projected correlation function is free from any distortion of the clustering pattern induced by peculiar motions and is well described by a power-law in pair separation over the range 0.1 < (r/h 1 Mpc) < 10. The clustering of L � (MbJ 5log10 h = 19.7) galaxies in real space is well fit by a correlation length r0 = 4.9 ± 0.3h 1 Mpc and power-law slope = 1.71 ± 0.06. The clustering amplitude increases slowly with absolute magnitude for galaxies fainter than M � , but rises more strongly at higher luminosities. At low luminosities, our results agree with measurements from the SSRS2 by Benoist et al. However, we find a weaker dependence of clustering strength on luminosity at the highest luminosities. The cor- relation function amplitude increases by a factor of 4.0 between MbJ 5log10 h = 18 and 22.5, and the most luminous galaxies are 3.0 times more strongly clustered than Lgalaxies. The power-law slope of the correlation function shows remarkably little variation for samples spanning a factor of 20 in luminosity. Our measurements are in very good agreement with the predictions of the hierarchical galaxy formation models of Benson et al.

436 citations


Authors

Showing all 16531 results

NameH-indexPapersCitations
Yi Chen2174342293080
Paul M. Thompson1832271146736
Ian J. Deary1661795114161
Dongyuan Zhao160872106451
Mark J. Smyth15371388783
Harry Campbell150897115457
William J. Sutherland14896694423
Thomas J. Smith1401775113919
John A. Peacock140565125416
Jean-Marie Tarascon136853137673
David A. Jackson136109568352
Ian Ford13467885769
Timothy J. Mitchison13340466418
Will J. Percival12947387752
David P. Lane12956890787
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023127
2022388
20211,998
20201,996
20192,059
20181,946