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Bounce Cosmology in a Locally Scale Invariant Physics with a U(1) Symmetry [PDF]

open access: goldUniverse
An asymmetric non-singular bouncing cosmological model is proposed in the framework of a locally scale-invariant scalar-tensor version of the standard model of particle physics and gravitation. The scalar field ϕ is complex.
Meir Shimon
doaj   +3 more sources

High-dimensional and permutation invariant anomaly detection [PDF]

open access: yesSciPost Physics, 2023
Methods for anomaly detection of new physics processes are often limited to low-dimensional spaces due to the difficulty of learning high-dimensional probability densities. Particularly at the constituent level, incorporating desirable properties such as
Vinicius Mikuni, Benjamin Nachman
doaj   +2 more sources

Absolute Geometry: From Basics to the π-rule of the Ф-invariant Physics

open access: diamondAdvances in Theoretical & Computational Physics, 2021
This is to clarify in more detail some basic aspects of absolute geometry and discuss what is the π-rule in physics unified by the universal Ф ...

openalex   +2 more sources

Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models [PDF]

open access: yesPhysical 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
doaj   +2 more sources

Model-Independent Searches for New Physics in Multi-Body Invariant Masses [PDF]

open access: goldUniverse, 2021
Model-independent searches for physics beyond the Standard Model typically focus on invariant masses of two objects (jets, leptons or photons). In this study, we explore opportunities for similar model-agnostic searches in multi-body invariant masses. In
Sergei Chekanov   +4 more
doaj   +2 more sources

PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics [PDF]

open access: greenarXiv.org, 2022
Many current approaches to machine learning in particle physics use generic architectures that require large numbers of parameters and disregard underlying physics principles, limiting their applicability as scientific modeling tools.
Alexander Bogatskiy   +3 more
openalex   +3 more sources

A signature invariant geometric algebra framework for spacetime physics and its applications in relativistic dynamics of a massive particle and gyroscopic precession [PDF]

open access: goldScientific Reports, 2022
A signature invariant geometric algebra framework for spacetime physics is formulated. By following the original idea of David Hestenes in the spacetime algebra of signature $$(+,-,-,-)$$ ( + , - , - , - ) , the techniques related to relative vector and ...
Bofeng Wu
doaj   +2 more sources

Towards critical physics in 2+1d with U(2N )-invariant fermions [PDF]

open access: diamondJournal of High Energy Physics, 2016
Interacting theories of N relativistic fermion flavors in reducible spinor representations in 2+1 spacetime dimensions are formulated on a lattice using domain wall fermions (DWF), for which a U(2N ) global symmetry is recovered in the limit that the ...
Simon Hands, Simon Hands
openalex   +3 more sources

Physics and chemistry from parsimonious representations: image analysis via invariant variational autoencoders [PDF]

open access: goldnpj Computational Materials
Electron, optical, and scanning probe microscopy methods are generating ever increasing volume of image data containing information on atomic and mesoscale structures and functionalities.
Mani Valleti   +3 more
doaj   +2 more sources

Scale-invariant resonance tagging in multijet events and new physics in Higgs pair production [PDF]

open access: hybrid, 2013
A bstractWe study resonant pair production of heavy particles in fully hadronic final states by means of jet substructure techniques. We propose a new resonance tagging strategy that smoothly interpolates between the highly boosted and fully resolved ...
M. Gouzevitch   +5 more
openalex   +3 more sources

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