Results 11 to 20 of about 576,686 (295)
Scale-Invariant Learning by Physics Inversion
Advances in Neural Information Processing Systems 35, 2022 Solving inverse problems, such as parameter estimation and optimal control, is a vital part of science. Many experiments repeatedly collect data and rely on machine learning algorithms to quickly infer solutions to the associated inverse problems.
Philipp Holl +2 more
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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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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.
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Gauge Invariant Classes of Feynman Diagrams and Applications for Calculations [PDF]
, 2001 In theories like SM or MSSM with a complex gauge group structure the complete set of Feynman diagrams contributed to a particular physics process can be splited to exact gauge invariant subsets. Arguments and examples given in the review demonstrate that
Boos, E. E.
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On the physics of the minimal length: The question of gauge invariance [PDF]
International Journal of Modern Physics A, 2016 In this note we discuss the question of gauge invariance in the presence of a minimal length. This contribution is prepared for the celebration of the 60th anniversary of the Yang–Mills theory.
Chang, Lay Nam +4 more
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Unitarity Triangles and the Search for New Physics [PDF]
, 2002 Assuming that the Kobayashi-Maskawa mechanism gives the dominant contribution to CP violation at low energies, we propose a novel way of testing the flavour sector of the Standard Model which has the potencial for discovering New Physics.
Abbiendi +55 more
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Top Quark Pairs at High Invariant Mass - A Model-Independent Discriminator of New Physics at the LHC [PDF]
, 2006 We study top quark pair production to probe new physics at the LHC. We propose reconstruction methods for $t\bar{t}$ semileptonic events and use them to reconstruct the $t\bar{t}$ invariant mass. The angular distribution of top quarks in their c.m. frame
Barger, Vernon +2 more
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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.
RT Pramod +3 more
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New Journal of Physics, 2014 We present a unified framework to describe lattice gauge theories by means of tensor networks: this framework is efficient as it exploits the high local symmetry content native to these systems by describing only the gauge invariant subspace. Compared to
Pietro Silvi +3 more
doaj +1 more source
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
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