scispace - formally typeset
Search or ask a question
Author

Georges Aad

Bio: Georges Aad is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 135, co-authored 1121 publications receiving 88811 citations. Previous affiliations of Georges Aad include Centre national de la recherche scientifique & University of Udine.


Papers
More filters
Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, Ovsat Abdinov4, Baptiste Abeloos, Rosemarie Aben5, Ossama AbouZeid6, N. L. Abraham7, Halina Abramowicz8, Henso Abreu9, Ricardo Abreu10, Yiming Abulaiti11, Bobby Samir Acharya12, Bobby Samir Acharya13, Leszek Adamczyk14, David H. Adams15, David H. Adams16, Jahred Adelman17, Stefanie Adomeit18, Tim Adye19, A. A. Affolder20, Tatjana Agatonovic-Jovin21, Johannes Agricola22, Juan Antonio Aguilar-Saavedra23, Juan Antonio Aguilar-Saavedra24, S. P. Ahlen25, Faig Ahmadov4, Faig Ahmadov26, Giulio Aielli27, Henrik Akerstedt11, T. P. A. Åkesson28, A. V. Akimov, Gian Luigi Alberghi29, J. Albert30, S. Albrand31, M. J. Alconada Verzini, Martin Aleksa32, Igor Aleksandrov26, Calin Alexa, Gideon Alexander8, Theodoros Alexopoulos33, Muhammad Alhroob2, Malik Aliev34, Gianluca Alimonti, John Alison, Steven Patrick Alkire35, Bmm Allbrooke7, Benjamin William Allen10, Philip Patrick Allport36, Alberto Aloisio37, Alejandro Alonso38, Francisco Alonso, Cristiano Alpigiani39, Mahmoud Alstaty1, B. Alvarez Gonzalez32, D. Álvarez Piqueras40, Mariagrazia Alviggi37, Brian Thomas Amadio41, K. Amako, Y. Amaral Coutinho42, Christoph Amelung43, D. Amidei44, S. P. Amor Dos Santos45, António Amorim46, Simone Amoroso32, Glenn Amundsen43, Christos Anastopoulos47, Lucian Stefan Ancu48, Nansi Andari17, Timothy Andeen49, Christoph Falk Anders50, G. Anders32, John Kenneth Anders20, K. J. Anderson, A. Andreazza51, Andrei50, Stylianos Angelidakis52, Ivan Angelozzi5, Philipp Anger53, Aaron Angerami35, Francis Anghinolfi32, Alexey Anisenkov54, Alexey Anisenkov55, Nuno Anjos, Alberto Annovi56, Mario Antonelli, A. Antonov57 
Aix-Marseille University1, University of Oklahoma2, University of Iowa3, Azerbaijan National Academy of Sciences4, University of Amsterdam5, University of California, Santa Cruz6, University of Sussex7, Tel Aviv University8, Technion – Israel Institute of Technology9, University of Oregon10, Stockholm University11, International Centre for Theoretical Physics12, King's College London13, AGH University of Science and Technology14, Brookhaven National Laboratory15, Transilvania University of Brașov16, Northern Illinois University17, Ludwig Maximilian University of Munich18, Rutherford Appleton Laboratory19, University of Liverpool20, University of Belgrade21, University of Göttingen22, University of Granada23, Nova Southeastern University24, Boston University25, Joint Institute for Nuclear Research26, University of Rome Tor Vergata27, Lund University28, University of Bologna29, University of Victoria30, University of Grenoble31, CERN32, National Technical University of Athens33, University of Salento34, Columbia University35, University of Birmingham36, University of Naples Federico II37, University of Copenhagen38, University of Washington39, University of Valencia40, Lawrence Berkeley National Laboratory41, Federal University of Rio de Janeiro42, Brandeis University43, University of Michigan44, University of Coimbra45, University of Lisbon46, University of Sheffield47, University of Geneva48, University of Texas at Austin49, Heidelberg University50, University of Milan51, National and Kapodistrian University of Athens52, Dresden University of Technology53, Budker Institute of Nuclear Physics54, Novosibirsk State University55, University of Pisa56, National Research Nuclear University MEPhI57
TL;DR: In this paper, a search for supersymmetry involving the pair production of gluinos decaying via third-generation squarks to the lightest neutralino (chi) over tilde (0) is reported.
Abstract: A search for supersymmetry involving the pair production of gluinos decaying via third-generation squarks to the lightest neutralino (chi) over tilde (0)(1) is reported. It uses an LHC proton-proto ...

90 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, J. Abdallah3, A. A. Abdelalim4  +3019 moreInstitutions (178)
TL;DR: In this article, a measurement of the Z/gamma* transverse momentum distribution in proton-proton collisions at root s = 7 TeV is presented using Z/Gamma* -> e(+)e(-) and Z/amma*-> mu(+)mu(-) decay.

89 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Dale Charles Abbott3, A. Abed Abud4  +2957 moreInstitutions (201)
TL;DR: A search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection and results are complementary to the dedicated searches for the case that B and C are standard model bosons.
Abstract: This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A→BC, for m_{A}∼O(TeV), m_{B},m_{C}∼O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 sqrt[s]=13 TeV pp collision dataset of 139 fb^{-1} recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV. Cross-section limits for narrow-width A, B, and C particles vary with m_{A}, m_{B}, and m_{C}. For example, when m_{A}=3 TeV and m_{B}≳200 GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on m_{C}. For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.

89 citations

Journal ArticleDOI
Georges Aad1, Alexander Kupco2, Peter Davison3, Samuel Webb4  +2915 moreInstitutions (220)
TL;DR: In this article, a measurement of the double-differential cross section for the Drell-Yan Z/γ∗ → l+l− and photon-induced γγ → l + l− processes where l is an electron or muon was performed for invariant masses of the lepton pairs, mll, between 116 GeV and 1500 GeV.
Abstract: This paper presents a measurement of the double-differential cross section for the Drell-Yan Z/γ∗ → l+l− and photon-induced γγ → l+l− processes where l is an electron or muon. The measurement is performed for invariant masses of the lepton pairs, mll, between 116 GeV and 1500 GeV using a sample of 20.3 fb−1 of pp collisions data at centre-of-mass energy of s=8 TeV collected by the ATLAS detector at the LHC in 2012. The data are presented double differentially in invariant mass and absolute dilepton rapidity as well as in invariant mass and absolute pseudorapidity separation of the lepton pair. The single-differential cross section as a function of mll is also reported. The electron and muon channel measurements are combined and a total experimental precision of better than 1% is achieved at low mll. A comparison to next-to-next-to-leading order perturbative QCD predictions using several recent parton distribution functions and including next-to-leading order electroweak effects indicates the potential of the data to constrain parton distribution functions. In particular, a large impact of the data on the photon PDF is demonstrated.[Figure not available: see fulltext.]

88 citations

Journal ArticleDOI
Georges Aad1, T. Abajyan2, Brad Abbott3, Jalal Abdallah4  +2920 moreInstitutions (187)
TL;DR: In this article, the integrated and differential fiducial cross sections for the production of a W or Z boson in association with a high-energy photon are measured using pp collisions at root s = 7 TeV.
Abstract: The integrated and differential fiducial cross sections for the production of a W or Z boson in association with a high-energy photon are measured using pp collisions at root s = 7 TeV. The analyse ...

88 citations


Cited by
More filters
Journal ArticleDOI

[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

Journal ArticleDOI
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Abstract: Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

13,246 citations

Journal ArticleDOI
01 Apr 1988-Nature
TL;DR: In this paper, a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) is presented.
Abstract: Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

9,929 citations

Journal ArticleDOI
Georges Aad1, T. Abajyan2, Brad Abbott3, Jalal Abdallah4  +2964 moreInstitutions (200)
TL;DR: In this article, a search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented, which has a significance of 5.9 standard deviations, corresponding to a background fluctuation probability of 1.7×10−9.

9,282 citations