Results 11 to 20 of about 564,677 (236)
European Physical Journal C: Particles and Fields, 2022 We discuss the sensitivity of theoretical predictions of observables used in searches for new physics to parton distributions (PDFs) at large momentum fraction x.
Richard D. Ball +6 more
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Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models
Physical Review Research, 2023 Symmetries such as gauge invariance and anyonic symmetry play a crucial role in quantum many-body physics. We develop a general approach to constructing gauge-invariant or anyonic-symmetric autoregressive neural networks, including a wide range of ...
Di Luo +5 more
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The geometry of gauged (super)conformal mechanics
Journal of High Energy Physics, 2022 Motivated by recently explored examples, we undertake a systematic study of conformal invariance in one-dimensional sigma models where an isometry group has been gauged.
Delaram Mirfendereski +3 more
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The Physics of spectral invariants [PDF]
2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010 To make full use of the increased possibilities of imaging spectroscopy (compared with the traditional multispectral instruments) for remote sensing of vegetation canopies, physically-based models should be used. The problem of retrieving the large number of model parameters from remotely sensed reflectance data is an ill-posed and underdetermined one.
openaire +3 more sources
Invariant representation of physical stability in the human brain [PDF]
eLife, 2021 Successful engagement with the world requires the ability to predict what will happen next. Here, we investigate how the brain makes a fundamental prediction about the physical world: whether the situation in front of us is stable, and hence likely to stay the same, or unstable, and hence likely to change in the immediate future.
Michael A. Cohen +4 more
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Notes on topological insulators [PDF]
, 2016 This paper is a survey of the $\mathbb{Z}_2$-valued invariant of topological insulators used in condensed matter physics. The $\mathbb{Z}$-valued topological invariant, which was originally called the TKNN invariant in physics, has now been fully ...
Kaufmann, Ralph M. +2 more
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Searches for new physics in collision events using a statistical technique for anomaly detection
SciPost Physics Proceedings, 2022 This paper discusses a statistical anomaly-detection method for model-independent searches for new physics in collision events produced at the Large Hadron Collider (LHC).
S. V. Chekanov
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SYMMETRIES AND INVARIANCES IN CLASSICAL PHYSICS [PDF]
, 2007 This Chapter discusses the role of symmetry in classical physics. We begin, in Section 2, with the distinction between symmetries of objects and of laws, and that between symmetry principles and symmetry arguments, including a discussion of Curie’s principle.
K. Brading, CASTELLANI, ELENA
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Neural Network-Based Intuitive Physics for Non-Inertial Reference Frames
IEEE Access, 2021 Classical mechanics offers us reliable means to predict various physical quantities, but it is difficult to derive the precise dynamic equations underlying most phenomena and obtain physical quantities in real-world situations.
Jongwoo Seo, Sang Wan Lee
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Predictions from Heavy New Physics Interpretation of the Top Forward-Backward Asymmetry [PDF]
, 2012 We derive generic predictions at hadron colliders from the large forward-backward asymmetry observed at the Tevatron, assuming the latter arises from heavy new physics beyond the Standard Model.
A Martin +31 more
core +2 more sources