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Institution

University of Mons

EducationMons, Belgium
About: University of Mons is a education organization based out in Mons, Belgium. It is known for research contribution in the topics: Large Hadron Collider & Standard Model. The organization has 3073 authors who have published 9465 publications receiving 294776 citations.


Papers
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Book ChapterDOI
01 Feb 2016
TL;DR: An up-to-date survey of the mathematical foundations of MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) is presented.
Abstract: MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) is a multicriteria decision analysis approach that requires only qualitative judgements about differences of value to help an individual or a group quantify the relative attractiveness of options. We present an up-to-date survey of the mathematical foundations of MACBETH. Reference is also made to real-world applications and an extensive bibliography, spanning back to the early 1990’s, is provided.

181 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2319 moreInstitutions (149)
TL;DR: In this paper, a 19.7 inverse femtobarn sample of proton-proton collisions at 8 TeV was collected with the CMS detector at the CERN LHC.

181 citations

Journal ArticleDOI
TL;DR: Polymer optical fiber Bragg gratings (POFBGs) as discussed by the authors have been used in a wide range of applications, such as sensors, sensors, and actuators, with the consequences of fiber breakage in situ being less hazardous than silica.
Abstract: Interest in polymer optical fiber Bragg gratings (POFBGs) arises from the different material properties and sensing modalities brought by polymers relative to silica. Polymer fibers typically offer twice the sensitivity to temperature of conventional silica fiber and increased sensitivity to strain overall. In addition, polymer fibers have higher elastic limits and as a result a larger range of operation for physical constraints. While some polymers are effectively humidity insensitive, others present inherent humidity sensitivity. Their organic properties also allow a variety of chemical processes to create (bio)chemical sensors, with the consequences of fiber breakage in situ being less hazardous than silica. These attributes have led to the use of POFBGs for applications that remain complex using silica fibers. This review paper covers the progress toward commercialization and the increasing number of specific applications.

180 citations

Journal ArticleDOI
TL;DR: The structure and properties of PBSFs can be tuned ranging from crystalline polymers possessing good tensile modulus and strength to nearly amorphous polymer of low T(g) and high elongation (~600%), and therefore they may find applications in thermoplastics as well as elastomers or impact modifiers.

180 citations

Journal ArticleDOI
M. G. Aartsen1, K. Abraham2, Markus Ackermann, Jenni Adams3  +324 moreInstitutions (50)
TL;DR: In this paper, an improved event-level likelihood formalism for including neutrino telescope data in global fits to new physics is presented, along with the public release of the 79-string IceCube data, as well as an associated computer code for applying the new likelihood to arbitrary dark matter models.
Abstract: We present an improved event-level likelihood formalism for including neutrino telescope data in global fits to new physics. We derive limits on spin-dependent dark matter-proton scattering by employing the new formalism in a re-analysis of data from the 79-string IceCube search for dark matter annihilation in the Sun, including explicit energy information for each event. The new analysis excludes a number of models in the weak-scale minimal supersymmetric standard model (MSSM) for the first time. This work is accompanied by the public release of the 79-string IceCube data, as well as an associated computer code for applying the new likelihood to arbitrary dark matter models.

180 citations


Authors

Showing all 3115 results

NameH-indexPapersCitations
Giacomo Bruno1581687124368
Krzysztof Piotrzkowski141126999607
Maria Elena Pol139141499240
Rupert Leitner136120190597
Christophe Delaere135132096742
Vincent Lemaitre134131099190
Jean-Luc Brédas134102685803
Luiz Mundim133141389792
Ulrich Landgraf13195983320
Markus Elsing131111182757
Evangelos Gazis131114784159
Loic Quertenmont12990576221
Michele Selvaggi129121483525
Roberto Castello12896576820
Olivier Bondu128104976124
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202322
202264
2021656
2020716
2019606
2018601