Results 21 to 30 of about 112,101 (152)
On the central charge of spacetime current algebras and correlators in string theory on AdS3
Journal of High Energy Physics, 2015 Spacetime Virasoro and affine Lie algebras for strings propagating in AdS3 are known to all orders in α′. The central extension of such algebras is a string vertex, whose expectation value can depend on the number of long strings present in the ...
Jihun Kim, M. Porrati
semanticscholar +1 more source
Journal of High Energy Physics, 2021 We provide a prescription called ThickBrick to train optimal machine-learning-based event selectors and categorizers that maximize the statistical significance of a potential signal excess in high energy physics (HEP) experiments, as quantified by any of
Konstantin T. Matchev +1 more
semanticscholar +2 more sources
RG flow and thermodynamics of causal horizons in higher-derivative AdS gravity
Journal of High Energy Physics, 2016 In arXiv:1508.01343 [hep-th], one of the authors proposed that in AdS/CFT the gravity dual of the boundary c-theorem is the second law of thermodynamics satisfied by causal horizons in AdS and this was verified for Einstein gravity in the bulk.
Shamik Banerjee, Arpan Bhattacharyya
semanticscholar +1 more source
Recent Developments in Physics Beyond the Standard Model [PDF]
, 1999 In this talk I discuss some recent developments in physics beyond the Standard Model. After some initial comments on neutrino masses, I discuss the status of low-energy supersymmetry and finally turn to describing some recent work in theories with extra ...
Giudice, G. F.
core +3 more sources
Quantum machine learning in high energy physics [PDF]
Machine Learning: Science and Technology, 2020 Machine learning has been used in high energy physics (HEP) for a long time, primarily at the analysis level with supervised classification. Quantum computing was postulated in the early 1980s as way to perform computations that would not be tractable ...
W. Guan +6 more
semanticscholar +1 more source
Blaze: A High performance Big Data Computing System for High Energy Physics
Journal of Physics: Conference Series, 2023 High energy physics (HEP) is moving towards extremely high statistical experiments and super-large-scale simulation of theory. In order to handle the challenge of rapid growth of data volumes, distributed computing and storage frameworks in Big Data area
Libin Xia +4 more
semanticscholar +1 more source
On a Missed Mechanism of Dielectron Production in Nucleon-Nucleon Collisions
, 2010 We examine a new mechanism of $e^+e^-$ pair production in $NN$ collisions associated with the $NN$-decoupled dibaryon $d^\star_1$(1956) formation in the process $NN \to \gamma^\star d^\star_1$, where $\gamma^\star$ is the virtual photon which converts ...
Khrykin, Anatoliy S.
core +1 more source
Scattering amplitudes of massive spin-2 Kaluza-Klein states grow only as O(s) [PDF]
, 2019 We present the results of the first complete calculation of the tree-level $2\to 2$ high-energy scattering amplitudes of the longitudinal modes of massive spin-2 Kaluza-Klein states, both in the case where the internal space is a torus and in the Randall-
Chivukula, R Sekhar +4 more
core +3 more sources
Explainability of High Energy Physics events classification using SHAP
Journal of Physics: Conference Series, 2023 Complex machine learning models have been fundamental for achieving accurate results regarding events classification in High Energy Physics (HEP). However, these complex models or black-box systems lack transparency and interpretability. In this work, we
R. Pezoa +3 more
semanticscholar +1 more source
Advanced Science, EarlyView.A novel “Cu‐mediated interstitial site engineering” strategy is introduced to thermodynamically stabilize hexagonal oxygen (hex‐O) configurations in oxygen‐containing titanium alloys. The hex‐O configuration activates multiple slip systems and enhances dislocation pinning via long‐range repulsion.
Xiaobin Lin +14 more
wiley +1 more source