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University of Cambridge

EducationCambridge, United Kingdom
About: University of Cambridge is a(n) education organization based out in Cambridge, United Kingdom. It is known for research contribution in the topic(s): Population & Galaxy. The organization has 118293 authors who have published 282289 publication(s) receiving 14497093 citation(s). The organization is also known as: Cambridge University & Cambridge.
Topics: Population, Galaxy, Transplantation, Redshift, Gene
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Journal ArticleDOI
Abstract: This paper develops a new approach to the problem of testing the existence of a level relationship between a dependent variable and a set of regressors, when it is not known with certainty whether the underlying regressors are trend- or first-difference stationary. The proposed tests are based on standard F- and t-statistics used to test the significance of the lagged levels of the variables in a univariate equilibrium correction mechanism. The asymptotic distributions of these statistics are non-standard under the null hypothesis that there exists no level relationship, irrespective of whether the regressors are I(0) or I(1). Two sets of asymptotic critical values are provided: one when all regressors are purely I(1) and the other if they are all purely I(0). These two sets of critical values provide a band covering all possible classifications of the regressors into purely I(0), purely I(1) or mutually cointegrated. Accordingly, various bounds testing procedures are proposed. It is shown that the proposed tests are consistent, and their asymptotic distribution under the null and suitably defined local alternatives are derived. The empirical relevance of the bounds procedures is demonstrated by a re-examination of the earnings equation included in the UK Treasury macroeconometric model. Copyright © 2001 John Wiley & Sons, Ltd.

11,141 citations

Journal ArticleDOI
15 May 2000-Physical Review B
Abstract: The model and theoretical understanding of the Raman spectra in disordered and amorphous carbon are given. The nature of the G and D vibration modes in graphite is analyzed in terms of the resonant excitation of \ensuremath{\pi} states and the long-range polarizability of \ensuremath{\pi} bonding. Visible Raman data on disordered, amorphous, and diamondlike carbon are classified in a three-stage model to show the factors that control the position, intensity, and widths of the G and D peaks. It is shown that the visible Raman spectra depend formally on the configuration of the ${\mathrm{sp}}^{2}$ sites in ${\mathrm{sp}}^{2}$-bonded clusters. In cases where the ${\mathrm{sp}}^{2}$ clustering is controlled by the ${\mathrm{sp}}^{3}$ fraction, such as in as-deposited tetrahedral amorphous carbon (ta-C) or hydrogenated amorphous carbon (a-C:H) films, the visible Raman parameters can be used to derive the ${\mathrm{sp}}^{3}$ fraction.

11,122 citations

Journal ArticleDOI
Claude Amsler1, Michael Doser2, Mario Antonelli, D. M. Asner3, K. S. Babu4, Howard Baer5, H. R. Band6, R. M. Barnett7, E. Bergren, J. Beringer7, G. Bernardi8, Willi Bertl9, H. Bichsel10, Otmar Biebel11, Philippe Bloch2, E. Blucher12, S. Blusk13, Robert N. Cahn7, Marcela Carena12, Marcela Carena14, C. Caso15, Augusto Ceccucci2, Debadi Chakraborty16, Mingshui Chen17, R. S. Chivukula18, G. A. Cowan19, O. I. Dahl7, Giancarlo D'Ambrosio, Thibault Damour20, A. de Gouvêa21, Thomas DeGrand22, Bogdan A. Dobrescu14, Manuel Drees23, D. A. Edwards, Semen Eidelman24, Victor Daniel Elvira14, Jens Erler25, V. V. Ezhela, Jonathan L. Feng17, W. Fetscher26, Brian D. Fields27, B. Foster28, Thomas K. Gaisser29, L. A. Garren14, H.-J. Gerber26, G. Gerbier, Tony Gherghetta30, Gian F. Giudice2, Maury Goodman31, Christoph Grab26, Andrei Gritsan32, Jean-Francois Grivaz33, D. E. Groom7, Martin Grunewald34, Atul Gurtu35, Atul Gurtu2, Th. Gutsche36, Howard E. Haber37, K. Hagiwara, C. A. Hagmann38, K. G. Hayes39, J.J. Hernández-Rey40, Ken Ichi Hikasa41, Ian Hinchliffe7, A Höcker2, Joey Huston18, P. Igo-Kemenes42, John David Jackson7, Kurtis F Johnson5, T. Junk14, D. Karlen43, B. Kayser14, D. Kirkby17, S. R. Klein7, I.G. Knowles44, Christopher Kolda45, R. Kowalewski43, P. Kreitz46, B. Krusche47, Yu V. Kuyanov, Younghoon Kwon48, Ofer Lahav49, Paul Langacker, Andrew R. Liddle50, Zoltan Ligeti7, Chi Lin7, Tony Liss27, L. S. Littenberg51, Jeff C. Liu46, K. S. Lugovsky, S. B. Lugovsky, H. Mahlke52, Michelangelo L. Mangano2, T Mannel53, Aneesh V. Manohar54, William J. Marciano51, Alan D. Martin55, A. Masoni, David Milstead56, Ramon Miquel, Klaus Mönig, Hitoshi Murayama7, Hitoshi Murayama57, Hitoshi Murayama58, Koji Nakamura, Meenakshi Narain59, Paolo Nason, S. Sánchez Navas60, P. Nevski51, Yosef Nir61, Keith A. Olive62, Luc Pape26, C. Patrignani15, John A. Peacock44, A. Piepke63, G. Punzi64, Arnulf Quadt65, Stuart Raby66, Georg G. Raffelt67, B. N. Ratcliff46, B. Renk68, Paul William Richardson55, S. Roesler2, S. Rolli69, Anatoli Romaniouk70, L. J. Rosenberg10, Jonathan L. Rosner12, C.T. Sachrajda71, Y. Sakai, Subir Sarkar28, Fabio Sauli2, O. Schneider72, Douglas Scott73, W. G. Seligman74, Michael H. Shaevitz74, Torbjörn Sjöstrand75, J. G. Smith22, George F. Smoot7, Stefan M Spanier46, H. Spieler7, Achim Stahl76, Todor Stanev29, Sophia L. Stone13, T. Sumiyoshi77, Masaharu Tanabashi78, John Terning79, Maksym Titov20, N. P. Tkachenko, Nils A. Tornqvist80, Daniel Tovey81, G.H. Trilling7, T. G. Trippe7, German Valencia82, K. van Bibber38, Manuella Vincter3, Petr Vogel83, D. R. Ward84, Taizan Watari58, Bryan R. Webber84, Georg Weiglein55, James D. Wells, M R Whalley55, A. Wheeler46, C. G. Wohl7, Lincoln Wolfenstein85, J. Womersley86, C. L. Woody51, Ron L. Workman, A. Yamamoto, W-M. Yao7, Oleg Zenin, Jie Zhang, Ren-Yuan Zhu83, P A Zyla7, G. Harper7, V. S. Lugovsky, P. Schaffner7 
University of Zurich1, CERN2, Carleton University3, Oklahoma State University–Stillwater4, Florida State University5, University of Wisconsin-Madison6, Lawrence Berkeley National Laboratory7, Pierre-and-Marie-Curie University8, Paul Scherrer Institute9, University of Washington10, Ludwig Maximilian University of Munich11, University of Chicago12, Syracuse University13, Fermilab14, University of Genoa15, Northern Illinois University16, University of California, Irvine17, Michigan State University18, Royal Holloway, University of London19, Université Paris-Saclay20, Northwestern University21, University of Colorado Boulder22, University of Bonn23, Budker Institute of Nuclear Physics24, National Autonomous University of Mexico25, ETH Zurich26, University of Illinois at Urbana–Champaign27, University of Oxford28, University of Delaware29, University of Melbourne30, Argonne National Laboratory31, Johns Hopkins University32, University of Paris-Sud33, Ghent University34, Tata Institute of Fundamental Research35, University of Tübingen36, University of California, Santa Cruz37, Lawrence Livermore National Laboratory38, Hillsdale College39, Spanish National Research Council40, Tohoku University41, Heidelberg University42, University of Victoria43, University of Edinburgh44, University of Notre Dame45, Stanford University46, University of Basel47, Yonsei University48, University College London49, University of Sussex50, Brookhaven National Laboratory51, Cornell University52, University of Siegen53, University of California, San Diego54, Durham University55, Stockholm University56, University of California, Berkeley57, University of Tokyo58, Brown University59, University of Granada60, Weizmann Institute of Science61, University of Minnesota62, University of Alabama63, University of Pisa64, University of Göttingen65, Ohio State University66, Max Planck Society67, University of Mainz68, Tufts University69, National Research Nuclear University MEPhI70, University of Southampton71, École Polytechnique Fédérale de Lausanne72, University of British Columbia73, Columbia University74, Lund University75, RWTH Aachen University76, Tokyo Metropolitan University77, Nagoya University78, University of California, Davis79, University of Helsinki80, University of Sheffield81, Iowa State University82, California Institute of Technology83, University of Cambridge84, Carnegie Mellon University85, Rutherford Appleton Laboratory86
01 Jul 1996-Physics Letters B
TL;DR: This biennial Review summarizes much of particle physics, using data from previous editions.
Abstract: This biennial Review summarizes much of particle physics. Using data from previous editions., plus 2778 new measurements from 645 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We also summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as the Standard Model, particle detectors., probability, and statistics. Among the 108 reviews are many that are new or heavily revised including those on CKM quark-mixing matrix, V-ud & V-us, V-cb & V-ub, top quark, muon anomalous magnetic moment, extra dimensions, particle detectors, cosmic background radiation, dark matter, cosmological parameters, and big bang cosmology.

11,048 citations

Journal ArticleDOI
TL;DR: Both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters are reviewed.
Abstract: Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical system. Moreover, it is typically crucial to process data on-line as it arrives, both from the point of view of storage costs as well as for rapid adaptation to changing signal characteristics. In this paper, we review both optimal and suboptimal Bayesian algorithms for nonlinear/non-Gaussian tracking problems, with a focus on particle filters. Particle filters are sequential Monte Carlo methods based on point mass (or "particle") representations of probability densities, which can be applied to any state-space model and which generalize the traditional Kalman filtering methods. Several variants of the particle filter such as SIR, ASIR, and RPF are introduced within a generic framework of the sequential importance sampling (SIS) algorithm. These are discussed and compared with the standard EKF through an illustrative example.

10,977 citations


01 Jan 1967-
TL;DR: The dynamique des : fluides Reference Record created on 2005-11-18 is updated on 2016-08-08 and shows improvements in the quality of the data over the past decade.
Abstract: Preface Conventions and notation 1. The physical properties of fluids 2. Kinematics of the flow field 3. Equations governing the motion of a fluid 4. Flow of a uniform incompressible viscous fluid 5. Flow at large Reynolds number: effects of viscosity 6. Irrotational flow theory and its applications 7. Flow of effectively inviscid liquid with vorticity Appendices.

10,942 citations


Showing all 118293 results

Albert Hofman2672530321405
Zhong Lin Wang2452529259003
Solomon H. Snyder2321222200444
Trevor W. Robbins2311137164437
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Eric B. Rimm196988147119
Martin White1962038232387
Simon D. M. White189795231645
Michael Rutter188676151592
George Efstathiou187637156228
Mark Hallett1861170123741
David H. Weinberg183700171424
Paul G. Richardson1831533155912
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