Institution
University of Antwerp
Education•Antwerp, Belgium•
About: University of Antwerp is a education organization based out in Antwerp, Belgium. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 16682 authors who have published 48837 publications receiving 1689748 citations. The organization is also known as: Universiteit Antwerpen & UAntwerp.
Papers published on a yearly basis
Papers
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TL;DR: 3D reconstruction of a complex crystalline nanoparticle at atomic resolution is reported, which helps close the gap between the atomic resolution achievable in two-dimensional electron micrographs and the coarser resolution that has hitherto been obtained by conventional electron tomography.
Abstract: Determining the three-dimensional (3D) arrangement of atoms in crystalline nanoparticles is important for nanometre-scale device engineering and also for applications involving nanoparticles, such as optoelectronics or catalysis. A nanoparticle's physical and chemical properties are controlled by its exact 3D morphology, structure and composition. Electron tomography enables the recovery of the shape of a nanoparticle from a series of projection images. Although atomic-resolution electron microscopy has been feasible for nearly four decades, neither electron tomography nor any other experimental technique has yet demonstrated atomic resolution in three dimensions. Here we report the 3D reconstruction of a complex crystalline nanoparticle at atomic resolution. To achieve this, we combined aberration-corrected scanning transmission electron microscopy, statistical parameter estimation theory and discrete tomography. Unlike conventional electron tomography, only two images of the target--a silver nanoparticle embedded in an aluminium matrix--are sufficient for the reconstruction when combined with available knowledge about the particle's crystallographic structure. Additional projections confirm the reliability of the result. The results we present help close the gap between the atomic resolution achievable in two-dimensional electron micrographs and the coarser resolution that has hitherto been obtained by conventional electron tomography.
506 citations
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TL;DR: In this paper, an improved jet energy scale corrections, based on a data sample corresponding to an integrated luminosity of 19.7 fb^(-1) collected by the CMS experiment in proton-proton collisions at a center-of-mass energy of 8 TeV, are presented.
Abstract: Improved jet energy scale corrections, based on a data sample corresponding to an integrated luminosity of 19.7 fb^(-1) collected by the CMS experiment in proton-proton collisions at a center-of-mass energy of 8 TeV, are presented. The corrections as a function of pseudorapidity η and transverse momentum p_T are extracted from data and simulated events combining several channels and methods. They account successively for the effects of pileup, uniformity of the detector response, and residual data-simulation jet energy scale differences. Further corrections, depending on the jet flavor and distance parameter (jet size) R, are also presented. The jet energy resolution is measured in data and simulated events and is studied as a function of pileup, jet size, and jet flavor. Typical jet energy resolutions at the central rapidities are 15–20% at 30 GeV, about 10% at 100 GeV, and 5% at 1 TeV. The studies exploit events with dijet topology, as well as photon+jet, Z+jet and multijet events. Several new techniques are used to account for the various sources of jet energy scale corrections, and a full set of uncertainties, and their correlations, are provided. The final uncertainties on the jet energy scale are below 3% across the phase space considered by most analyses (p_T > 30 GeV and 0|η| 30 GeV is reached, when excluding the jet flavor uncertainties, which are provided separately for different jet flavors. A new benchmark for jet energy scale determination at hadron colliders is achieved with 0.32% uncertainty for jets with p_T of the order of 165–330 GeV, and |η| < 0.8.
505 citations
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University of Marburg1, University of Pittsburgh2, Mayo Clinic3, University of Pennsylvania4, University College London5, University of Louisville6, Case Western Reserve University7, Erasmus University Rotterdam8, VU University Amsterdam9, University of Tübingen10, University of Barcelona11, University of Brescia12, University of Navarra13, National Institutes of Health14, Scripps Research Institute15, University of British Columbia16, University of Washington17, Rutgers University18, University of Giessen19, University of Michigan20, University of Würzburg21, Autonomous University of Madrid22, German Center for Neurodegenerative Diseases23, Karolinska Institutet24, University of California, Los Angeles25, French Institute of Health and Medical Research26, Centre national de la recherche scientifique27, Medical University of Vienna28, Sapienza University of Rome29, University of Antwerp30, Mount Sinai Hospital31, Flinders University32, Harvard University33, University of California, San Diego34, Emory University35, Indiana University36, Rush University Medical Center37, University of Toronto38, Baylor College of Medicine39, University of California, San Francisco40, Ludwig Maximilian University of Munich41, University of Kansas42, Mental Health Research Institute43, University of Göttingen44, Cardiff University45, Newcastle University46, University of Manchester47, Innsbruck Medical University48, Carlos III Health Institute49, University of Saskatchewan50, University of Maryland, Baltimore51, University of Cambridge52, University of Alabama at Birmingham53, Veterans Health Administration54, King's College London55, Johns Hopkins University56, Columbia University57, University of Texas Southwestern Medical Center58, University of Southern California59
TL;DR: Two independent variants in MAPT affecting risk for PSP are confirmed, one of which influences MAPT brain expression and the genes implicated encode proteins for vesicle-membrane fusion at the Golgi-endosomal interface and for a myelin structural component.
Abstract: Progressive supranuclear palsy (PSP) is a movement disorder with prominent tau neuropathology. Brain diseases with abnormal tau deposits are called tauopathies, the most common of which is Alzheimer's disease. Environmental causes of tauopathies include repetitive head trauma associated with some sports. To identify common genetic variation contributing to risk for tauopathies, we carried out a genome-wide association study of 1,114 individuals with PSP (cases) and 3,247 controls (stage 1) followed by a second stage in which we genotyped 1,051 cases and 3,560 controls for the stage 1 SNPs that yielded P ≤ 10−3. We found significant previously unidentified signals (P < 5 × 10−8) associated with PSP risk at STX6, EIF2AK3 and MOBP. We confirmed two independent variants in MAPT affecting risk for PSP, one of which influences MAPT brain expression. The genes implicated encode proteins for vesicle-membrane fusion at the Golgi-endosomal interface, for the endoplasmic reticulum unfolded protein response and for a myelin structural component.
504 citations
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TL;DR: The first all-electron ab initio study of Young's modulus and Poisson ratio for a number of closed single-walled nanotubes is presented in this paper.
502 citations
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Leibniz Institute for Astrophysics Potsdam1, Max Planck Society2, Durham University3, University of Maryland, College Park4, University of Victoria5, Heidelberg University6, Heidelberg Institute for Theoretical Studies7, University of Zurich8, University of Washington9, McMaster University10, Swinburne University of Technology11, Leiden University12, University of Hertfordshire13, Australian National University14, INAF15, University of Trieste16, University of Tsukuba17, University of Antwerp18
TL;DR: In this article, the authors compare the results of various cosmological gas-dynamical codes used to simulate the formation of a galaxy in the Λ cold dark matter structure formation paradigm.
Abstract: We compare the results of various cosmological gas-dynamical codes used to simulate the formation of a galaxy in the Λ cold dark matter structure formation paradigm. The various runs (13 in total) differ in their numerical hydrodynamical treatment [smoothed particle hydrodynamics (SPH), moving mesh and adaptive mesh refinement] but share the same initial conditions and adopt in each case their latest published model of gas cooling, star formation and feedback. Despite the common halo assembly history, we find large code-to-code variations in the stellar mass, size, morphology and gas content of the galaxy at z= 0, due mainly to the different implementations of star formation and feedback. Compared with observation, most codes tend to produce an overly massive galaxy, smaller and less gas rich than typical spirals, with a massive bulge and a declining rotation curve. A stellar disc is discernible in most simulations, although its prominence varies widely from code to code. There is a well-defined trend between the effects of feedback and the severity of the disagreement with observed spirals. In general, models that are more effective at limiting the baryonic mass of the galaxy come closer to matching observed galaxy scaling laws, but often to the detriment of the disc component. Although numerical convergence is not particularly good for any of the codes, our conclusions hold at two different numerical resolutions. Some differences can also be traced to the different numerical techniques; for example, more gas seems able to cool and become available for star formation in grid-based codes than in SPH. However, this effect is small compared to the variations induced by different feedback prescriptions. We conclude that state-of-the-art simulations cannot yet uniquely predict the properties of the baryonic component of a galaxy, even when the assembly history of its host halo is fully specified. Developing feedback algorithms that can effectively regulate the mass of a galaxy without hindering the formation of high angular momentum stellar discs remains a challenge.
502 citations
Authors
Showing all 16957 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cornelia M. van Duijn | 183 | 1030 | 146009 |
John Hardy | 177 | 1178 | 171694 |
Mark Gerstein | 168 | 751 | 149578 |
Hannes Jung | 159 | 2069 | 125069 |
Rui Zhang | 151 | 2625 | 107917 |
Dirk Inzé | 149 | 647 | 74468 |
Walter Paulus | 149 | 809 | 86252 |
Robin Erbacher | 138 | 1721 | 100252 |
Rupert Leitner | 136 | 1201 | 90597 |
Alison Goate | 136 | 721 | 85846 |
Andrea Giammanco | 135 | 1362 | 98093 |
Maria Spiropulu | 135 | 1455 | 96674 |
Peter Robmann | 135 | 1438 | 97569 |
Michael Tytgat | 134 | 1449 | 94133 |
Matthew Herndon | 133 | 1732 | 97466 |