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The Hopfield model, originally inspired by spin-glass physics, occupies a central place at the intersection of statistical mechanics, neural networks, and modern artificial intelligence. Despite its conceptual simplicity and broad…

Disordered Systems and Neural Networks · Physics 2026-01-15 Denis D. Caprioti , Matheus Haas , Constantino F. Vasconcelos , Mauricio Girardi-Schappo

Experiments are once again under way at the LHC. This time around, however, the mood in the high-energy physics community is pessimistic. There is a growing suspicion that naturalness arguments that predict new physics near the weak scale…

High Energy Physics - Phenomenology · Physics 2015-07-08 Andrew Fowlie

With the discovery of the Higgs boson the LHC experiments have closed the most important gap in our understanding of fundamental interactions. We now know that the interactions between elementary particles can be described by quantum field…

High Energy Physics - Phenomenology · Physics 2015-05-14 Tilman Plehn

In addition to its importance in describing high-energy processes themselves, the dynamics of multiparticle production is part of the general field of non-linear phenomena and complex systems. Multiparticle dynamics is one of the rare…

High Energy Physics - Phenomenology · Physics 2007-05-23 W. Kittel

Over the past five years, modern machine learning has been quietly revolutionizing particle physics. Old methodology is being outdated and entirely new ways of thinking about data are becoming commonplace. This article will review some…

High Energy Physics - Phenomenology · Physics 2022-06-10 Matthew D. Schwartz

The ability to repeat the experiments from a research study and obtain similar results is a corner stone in experiment-based scientific discovery. This essential feature has been often ignored by the distributed computing and networking…

Networking and Internet Architecture · Computer Science 2014-10-08 Thierry Rakotoarivelo , Guillaume Jourjon , Olivier Mehani , Maximilian Ott , Mike Zink

In machine learning, error back-propagation in multi-layer neural networks (deep learning) has been impressively successful in supervised and reinforcement learning tasks. As a model for learning in the brain, however, deep learning has…

Machine Learning · Computer Science 2016-12-19 Thomas Mesnard , Wulfram Gerstner , Johanni Brea

Recent results on searches for physics beyond the Standard Model obtained by the H1 and ZEUS experiments are reported here. After a brief introduction to the HERA collider, indirect searches for contact interactions and extra-dimensions are…

High Energy Physics - Experiment · Physics 2007-05-23 Mireille Schneider

Replication studies estimate the replicability rate of scientific results by aggregating binary verdicts of experiments. Exact replications are rarely attainable, so most replication sequences are non-exact. Experiments differ in ways that…

Applications · Statistics 2026-04-30 Berna Devezer , Erkan O. Buzbas

The energy upgrade at LEP allows new regimes to be explored in the search for physics beyond the Standard Model. The searches for new physics using the ALEPH, DELPHI, L3, and OPAL data are described, and the results are presented.

High Energy Physics - Experiment · Physics 2007-05-23 Jane Nachtman

Is the weak scale natural? This ever pending question makes the search for new particle production a highly motivated primary goal of the next LHC phase. These searches may or may not be successful. While waiting for a needed higher energy…

High Energy Physics - Phenomenology · Physics 2014-03-25 Riccardo Barbieri , Andrea Tesi

Reproducibility is a cornerstone of science, as the replication of findings is the process through which they become knowledge. It is widely considered that many fields of science are undergoing a reproducibility crisis. This has led to the…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Olivier Colliot , Elina Thibeau-Sutre , Ninon Burgos

We present the material and resources developed for training physicists on containerization technologies enabled by Apptainer. In the context of analysis preservation using Apptainer's capabilities, we have developed examples that execute…

A short summary is made of several searches for new physics performed at the highest LEP2 energies.

High Energy Physics - Experiment · Physics 2017-08-23 S. Braibant , G. Giacomelli , M. Hauschild

Invited talk at the EPS-HEPP meeting in Krakow, July 2009. My first thought, and presumably the default expectation, was that I'd talk in a general way about the grandeur of high energy physics and the exciting future we anticipate,…

High Energy Physics - Phenomenology · Physics 2011-05-10 Frank Wilczek

Supersymmetry analyses will potentially be a central area for experiments at the LHC and at a future e+ e- linear collider. Results from the two facilities will mutually complement and augment each other so that a comprehensive and precise…

High Energy Physics - Phenomenology · Physics 2007-05-23 B. C. Allanach , G. A. Blair , S. Kraml , H. -U. Martyn , G. Polesello , W. Porod , P. M. Zerwas

``Weakly-coupled'' and ``strongly-coupled'' models of electroweak symmetry breaking are introduced by analogy with the Fermi theory of the weak interaction and the low-energy interaction of pions, respectively. The implications of these two…

High Energy Physics - Phenomenology · Physics 2009-10-30 S. Willenbrock

Data taking at the LHC is the beginning of a new era in particle physics which will lead us towards understanding the completion of the Standard Model at and beyond the TeV scale. I discuss different approaches to new physics searches:…

High Energy Physics - Phenomenology · Physics 2011-02-28 Tilman Plehn

Taking into account the negative searches for New Physics at the LHC, electroweak effective theories are appropriate to deal with current energies. Tracks of new, higher scales can be studied through next-to leading order corrections of the…

High Energy Physics - Phenomenology · Physics 2017-10-19 Ignasi Rosell , Claudius Krause , Antonio Pich , Joaquín Santos , Juan José Sanz-Cillero