Institution
International School for Advanced Studies
Education•Trieste, Friuli-Venezia Giulia, Italy•
About: International School for Advanced Studies is a education organization based out in Trieste, Friuli-Venezia Giulia, Italy. It is known for research contribution in the topics: Galaxy & Dark matter. The organization has 3751 authors who have published 13433 publications receiving 588454 citations. The organization is also known as: SISSA & Scuola Internazionale Superiore di Studi Avanzati.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a compact analytic formula was proposed to compute the spin of the black hole produced by the coalescence of two black holes following a quasicircular inspiral.
Abstract: We provide a compact analytic formula to compute the spin of the black hole produced by the coalescence of two black holes following a quasicircular inspiral. Without additional fits than those already available for binaries with aligned or antialigned spins, but with a minimal set of assumptions, we derive an expression that can model generic initial spin configurations and mass ratios, thus covering all of the 7-dimensional space of parameters. A comparison with simulations already shows very accurate agreements with all of the numerical data available to date, but we also suggest a number of ways in which our predictions can be further improved.
186 citations
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TL;DR: In this article, the role of different types of agents: producers, speculators as well as noise traders are studied using the minority game model, and the central issue here is the information flow: producers feed in the information whereas speculators make it away.
Abstract: Using the minority game model we study a broad spectrum of problems of market mechanism. We study the role of different types of agents: producers, speculators as well as noise traders. The central issue here is the information flow: producers feed in the information whereas speculators make it away. How well each agent fares in the common game depends on the market conditions, as well as their sophistication. Sometimes there is much to gain with little effort, sometimes great effort virtually brings no more incremental gain. Market impact is also shown to play an important role, a strategy should be judged when it is actually used in play for its quality. Though the minority game is an extremely simplified market model, it allows to ask, analyze and answer many questions which arise in real markets.
186 citations
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International School for Advanced Studies1, Heidelberg University2, Colorado State University3, University of Erlangen-Nuremberg4, University of California, Davis5, Clemson University6, Max Planck Society7, Technische Universität München8, Oak Ridge National Laboratory9, Rensselaer Polytechnic Institute10
TL;DR: An overview of the new features of the finite element library deal in version 9.0.II is provided.
Abstract: Abstract This paper provides an overview of the new features of the finite element library deal.II version 9.0.
186 citations
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TL;DR: In this article, a PINpointing Orbit-Crossing Collapsed HIerarchical Objects (PINOCCHIO) algorithm was proposed to identify dark matter halos in a given numerical realization of the linear density field in a hierarchical universe.
Abstract: ABSTRA C T PINOCCHIO (PINpointing Orbit-Crossing Collapsed HIerarchical Objects) is a new algorithm proposed recently by Monaco et al. (Paper I) for identifying dark matter haloes in a given numerical realization of the linear density field in a hierarchical universe. Mass elements are assumed to have collapsed after undergoing orbit crossing, as computed using perturbation theory. It is shown that Lagrangian perturbation theory, and in particular its ellipsoidal truncation, is able to predict accurately the collapse, in the orbit-crossing sense, of generic mass elements. Collapsed points are grouped into haloes using an algorithm that mimics the hierarchical growth of structure through accretion and mergers. Some points that have undergone orbit crossing are assigned to the network of filaments and sheets that connects the haloes; it is demonstrated that this network resembles closely that found in N-body simulations. The code generates a catalogue of dark matter haloes with known mass, position, velocity, merging history and angular momentum. It is shown that the predictions of the code are very accurate when compared with the results of large N-body simulations that cover a range of cosmological models, box sizes and numerical resolutions. The mass function is recovered with an accuracy of better than 10 per cent in number density for haloes with at least 30 ‐ 50 particles. A similar accuracy is reached in the estimate of the correlation length r0. The good agreement is still valid on the object-by-object level, with 70 ‐ 100 per cent of the objects with more than 50 particles in the simulations also identified by our algorithm. For these objects the masses are recovered with an error of 20 ‐ 40 per cent, and positions and velocities with a root mean square error of ,1 ‐2 MpcO0:5 ‐ 2 grid lengths) and ,100 km s 21 , respectively. The recovery of the angular momentum of haloes is considerably noisier, and accuracy at the statistical level is achieved only by introducing free parameters. The algorithm requires negligible computer time as compared with performing a numerical N-body simulation.
185 citations
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TL;DR: In this article, the authors describe a model-agnostic search for pairs of jets (dijets) produced by resonant and non-resonant phenomena beyond the Standard Model.
185 citations
Authors
Showing all 3802 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sabino Matarrese | 155 | 775 | 123278 |
G. de Zotti | 154 | 718 | 121249 |
J. González-Nuevo | 144 | 500 | 108318 |
Matt J. Jarvis | 144 | 1064 | 85559 |
Carlo Baccigalupi | 137 | 518 | 104722 |
L. Toffolatti | 136 | 376 | 95529 |
Michele Parrinello | 133 | 637 | 94674 |
Marzio Nessi | 129 | 1046 | 78641 |
Luigi Danese | 128 | 394 | 92073 |
Lidia Smirnova | 127 | 944 | 75865 |
Michele Pinamonti | 126 | 846 | 69328 |
David M. Alexander | 125 | 652 | 60686 |
Davide Maino | 124 | 410 | 88117 |
Dipak Munshi | 124 | 365 | 84322 |
Peter Onyisi | 114 | 694 | 60392 |