Results 11 to 20 of about 162,505 (294)
Interpolation Formulas for Asymptotically Safe Cosmology
Universe, 2023 Simple interpolation formulas are proposed for the description of the renormalization group (RG) scale dependences of the gravitational couplings in the framework of the 2-parameters Einstein-Hilbert (EH) theory of gravity and applied to a simple ...
Sandor Nagy, Kornel Sailer
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Multi-collinear splitting kernels for track function evolution
Journal of High Energy Physics, 2023 Jets and their substructure play a central role in many analyses at the Large Hadron Collider (LHC). To improve the precision of measurements, as well as to enable measurement of jet substructure at increasingly small angular scales, tracking information
Hao Chen +5 more
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Triad second renormalization group
Journal of High Energy Physics, 2022 We propose a second renormalization group (SRG) in the triad representation of tensor networks. The SRG method improves two parts of the triad tensor renormalization group, which are the decomposition of intermediate tensors and the preparation of ...
Daisuke Kadoh +2 more
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Renormalization group evolution with scalar leptoquarks
Journal of High Energy Physics, 2023 Leptoquarks are theoretically well-motivated and have received increasing attention in recent years as they can explain several hints for physics beyond the Standard Model.
Sumit Banik, Andreas Crivellin
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Higher logarithms and ε-poles for the MS-like renormalization prescriptions
Journal of High Energy Physics, 2023 We consider a version of dimensional regularization (reduction) in which the dimensionful regularization parameter Λ is in general different from the renormalization scale μ.
N. P. Meshcheriakov +2 more
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Global renormalization group [PDF]
Physical Review D, 1998 LaTex, 39 pages. Final version, to appear in Phys.
Alexandre J., Branchina V., Polonyi J.
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On the holographic renormalization group [PDF]
Journal of High Energy Physics, 2000 14 pages, no ...
Erik Verlinde +4 more
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Automatic differentiable numerical renormalization group
Physical Review Research, 2022 Machine learning techniques have recently gained prominence in physics, yielding a host of new results and insights. One key concept is that of backpropagation, which computes the exact gradient of any output of a program with respect to any input.
Jonas B. Rigo, Andrew K. Mitchell
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Renormalization group and universality [PDF]
Physical Review D, 1995 It is argued that universality is severely limited for models with multiple fixed points. As a demonstration the renormalization group equations are presented for the potential and the wave function renormalization constants in the $O(N)$ scalar field theory.
Janos Polonyi, Sen-Ben Liao
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Leading all-loop quantum contribution to the effective potential in general scalar field theory
Journal of High Energy Physics, 2023 The RG equation for the effective potential in the leading log (LL) approximation is constructed which is valid for an arbitrary scalar field theory in 4 dimensions.
D. I. Kazakov +2 more
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