scispace - formally typeset
Search or ask a question
Institution

Université libre de Bruxelles

EducationBrussels, Belgium
About: Université libre de Bruxelles is a education organization based out in Brussels, Belgium. It is known for research contribution in the topics: Population & Breast cancer. The organization has 24974 authors who have published 56969 publications receiving 2084303 citations. The organization is also known as: ULB.


Papers
More filters
Journal ArticleDOI
M. G. Aartsen1, K. Abraham2, Markus Ackermann, Jenni Adams3  +316 moreInstitutions (45)
TL;DR: In this article, the results from six different IceCube searches for astrophysical neutrinos in a maximum-likelihood analysis are combined, and the combined event sample features high-statistics samples of shower-like and track-like events.
Abstract: Evidence for an extraterrestrial flux of high-energy neutrinos has now been found in multiple searches with the IceCube detector. The first solid evidence was provided by a search for neutrino events with deposited energies greater than or similar to 30 TeV and interaction vertices inside the instrumented volume. Recent analyses suggest that the extraterrestrial flux extends to lower energies and is also visible with throughgoing, nu(mu)-induced tracks from the Northern Hemisphere. Here, we combine the results from six different IceCube searches for astrophysical neutrinos in a maximum-likelihood analysis. The combined event sample features high-statistics samples of shower-like and track-like events. The data are fit in up to three observables: energy, zenith angle, and event topology. Assuming the astrophysical neutrino flux to be isotropic and to consist of equal flavors at Earth, the all-flavor spectrum with neutrino energies between 25 TeV and 2.8 PeV is well described by an unbroken power law with best-fit spectral index -2.50 +/- 0.09 and a flux at 100 TeV of (6.7(-1.2)(+1.1)) x 10(-18) GeV-1 s(-1) sr(-1) cm(-2). Under the same assumptions, an unbroken power law with index -2 is disfavored with a significance of 3.8 sigma (p = 0.0066%) with respect to the best fit. This significance is reduced to 2.1 sigma (p = 1.7%) if instead we compare the best fit to a spectrum with index -2 that has an exponential cut-off at high energies. Allowing the electron-neutrino flux to deviate from the other two flavors, we find a nu(e) fraction of 0.18 +/- 0.11 at Earth. The sole production of electron neutrinos, which would be characteristic of neutron-decay-dominated sources, is rejected with a significance of 3.6 sigma ( p = 0.014%).

487 citations

Journal ArticleDOI
01 May 2008-Chest
TL;DR: In this literature review, the data are consistent with a reduction in mortality rates in general populations of patients with ALI/ARDS over the last 10 years.

487 citations

Journal ArticleDOI
TL;DR: A system for naming ribosomal proteins is described, designed so that new names are similar enough to old names to be easily recognized, but are written in a format that unambiguously identifies them as 'new system' names.

487 citations

Journal ArticleDOI
TL;DR: It is shown how ARGoS can be extended to suit the needs of an experiment in which custom functionality is necessary to achieve sufficient simulation accuracy, and the efficiency and flexibility of the multi-robot simulator are assessed.
Abstract: We present a novel multi-robot simulator named ARGoS. ARGoS is designed to simulate complex experiments involving large swarms of robots of different types. ARGoS is the first multi-robot simulator that is at the same time both efficient (fast performance with many robots) and flexible (highly customizable for specific experiments). Novel design choices in ARGoS have enabled this breakthrough. First, in ARGoS, it is possible to partition the simulated space into multiple sub-spaces, managed by different physics engines running in parallel. Second, ARGoS’ architecture is multi-threaded, thus designed to optimize the usage of modern multi-core CPUs. Finally, the architecture of ARGoS is highly modular, enabling easy addition of custom features and appropriate allocation of computational resources. We assess the efficiency of ARGoS and showcase its flexibility with targeted experiments. Experimental results demonstrate that simulation run-time increases linearly with the number of robots. A 2D-dynamics simulation of 10,000 e-puck robots can be performed in 60 % of the time taken by the corresponding real-world experiment. We show how ARGoS can be extended to suit the needs of an experiment in which custom functionality is necessary to achieve sufficient simulation accuracy. ARGoS is open source software licensed under GPL3 and is downloadable free of charge.

486 citations

Journal ArticleDOI
TL;DR: This proof exploits the full structure of quantum theory, but only holds against collective attacks, where the eavesdropper is assumed to act on the quantum systems of the honest parties independently and identically in each round of the protocol.
Abstract: Device-independent quantum key distribution (DIQKD) represents a relaxation of the security assumptions made in usual quantum key distribution (QKD). As in usual QKD, the security of DIQKD follows from the laws of quantum physics, but contrary to usual QKD, it does not rely on any assumptions about the internal working of the quantum devices used in the protocol. In this paper, we present in detail the security proof for a DIQKD protocol introduced in Acin et al (2008 Phys. Rev. Lett. 98 230501). This proof exploits the full structure of quantum theory (as opposed to other proofs that exploit only the no-signaling principle), but only holds against collective attacks, where the eavesdropper is assumed to act on the quantum systems of the honest parties independently and identically in each round of the protocol (although she can act coherently on her systems at any time). The security of any DIQKD protocol necessarily relies on the violation of a Bell inequality. We discuss the issue of loopholes in Bell experiments in this context.

486 citations


Authors

Showing all 25206 results

NameH-indexPapersCitations
Karl J. Friston2171267217169
Yi Chen2174342293080
David Miller2032573204840
Jing Wang1844046202769
H. S. Chen1792401178529
Jie Zhang1784857221720
Jasvinder A. Singh1762382223370
D. M. Strom1763167194314
J. N. Butler1722525175561
Andrea Bocci1722402176461
Bradley Cox1692150156200
Marc Weber1672716153502
Hongfang Liu1662356156290
Guenakh Mitselmakher1651951164435
Yang Yang1642704144071
Network Information
Related Institutions (5)
University of Paris
174.1K papers, 5M citations

96% related

Utrecht University
139.3K papers, 6.2M citations

93% related

University of Amsterdam
140.8K papers, 5.9M citations

93% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

93% related

Sapienza University of Rome
155.4K papers, 4.3M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023119
2022412
20213,195
20203,051
20192,751
20182,609