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
More filters
••
TL;DR: Using an algorithm for ground-state calculation in large-scale Ising spin glasses, this paper compute the global level of balance of very large online social networks and verify that currently available networks are indeed extremely balanced.
Abstract: Structural balance theory affirms that signed social networks (i.e., graphs whose signed edges represent friendly/hostile interactions among individuals) tend to be organized so as to avoid conflictual situations, corresponding to cycles of negative parity. Using an algorithm for ground-state calculation in large-scale Ising spin glasses, in this paper we compute the global level of balance of very large online social networks and verify that currently available networks are indeed extremely balanced. This property is explainable in terms of the high degree of skewness of the sign distributions on the nodes of the graph. In particular, individuals linked by a large majority of negative edges create mostly “apparent disorder,” rather than true “frustration.”
383 citations
••
TL;DR: It is shown that both statistical computations to identify words in speech and algebraic-like computation to discover higher level (grammatical) structure can be influenced by subtle cues in the speech signal.
Abstract: Learning a language requires both statistical computations to identify words in speech and algebraic-like computations to discover higher level (grammatical) structure. Here we show that these computations can be influenced by subtle cues in the speech signal. After a short familiarization to a continuous speech stream, adult listeners are able to segment it using powerful statistics, but they fail to extract the structural regularities included in the stream even when the familiarization is greatly extended. With the introduction of subliminal segmentation cues, however, these regularities can be rapidly captured.
382 citations
••
TL;DR: In this paper, the authors study the effect of an obscuring torus around the nucleus of a Seyfert galaxy on the X-ray spectrum of both type 1 and type 2 galaxies.
Abstract: The presence of an obscuring torus around the nucleus of a Seyfert galaxy, as supposed in the popular unification scheme, can strongly modify the X-ray spectrum for both type 1 and type 2 Seyfert galaxies. We study this problem by means of Monte Carlo simulations, finding that, if the torus is Compton-thick, it can scatter at small angles a significant fraction of the nuclear radiation, and contribute to the continuum of Seyfert 1 galaxies above ∼10 keV, and to the fluorescence iron line at 6.4 keV. At large inclination angles and for large torus column densities, the spectrum is attenuated by photoabsorption and Compton scattering, while the iron fluorescence line produced by the torus can have large equivalent widths
382 citations
••
TL;DR: In this paper, the authors used the temperature-gradient correlations induced by lensing to reconstruct a (noisy) map of the CMB lensing potential, which provides an integrated measure of the mass distribution back to the last-scattering surface.
Abstract: On the arcminute angular scales probed by Planck, the cosmic microwave background (CMB) anisotropies are gently perturbed by gravitational lensing. Here we present a detailed study of this e_ect, detecting lensing independently in the 100, 143, and 217 GHz frequency bands with an overall significance of greater than 25_.We use the temperature-gradient correlations induced by lensing to reconstruct a (noisy) map of the CMB lensing potential, which provides an integrated measure of the mass distribution back to the CMB last-scattering surface. Our lensing potential map is significantly correlated with other tracers of mass, a fact which we demonstrate using several representative tracers of large-scale structure. We estimate the power spectrum of the lensing potential, finding generally good agreement with expectations from the best-fitting _CDM model for the Planck temperature power spectrum, showing that this measurement at z = 1100 correctly predicts the properties of the lower-redshift, latertime structures which source the lensing potential. When combined with the temperature power spectrum, our measurement provides degeneracy breaking power for parameter constraints; it improves CMB-alone constraints on curvature by a factor of two and also partly breaks the degeneracy between the amplitude of the primordial perturbation power spectrum and the optical depth to reionization, allowing a measurement of the optical depth to reionization which is independent of large-scale polarization data. Discarding scale information, our measurement corresponds to a 4% constraint on the amplitude of the lensing potential power spectrum, or a 2% constraint on the root-mean-squared amplitude of matter fluctuations at z _ 2.
382 citations
••
TL;DR: This article proposed a direct procedure consisting of the analytical calculation of the average error, its estimation (up to sub-leading terms) from the data, and its subtraction from raw information measures to yield unbiased measures.
Abstract: Measuring the information carried by neuronal activity is made difficult, particularly when recording from mammalian cells, by the limited amount of data usually available, which results in a systematic error. While empirical ad hoc procedures have been used to correct for such error, we have recently proposed a direct procedure consisting of the analytical calculation of the average error, its estimation (up to subleading terms) from the data, and its subtraction from raw information measures to yield unbiased measures. We calculate here the leading correction terms for both the average transmitted information and the conditional information and, since usually one must first regularize the data, we specify the expressions appropriate to different regularizations. Computer simulations indicate a broad range of validity of the analytical results, suggest the effectiveness of regularizing by simple binning and illustrate the advantage of this over the previously used 'bootstrap' procedure.
376 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 |