Results 11 to 20 of about 269,748 (266)
Analytic expansions of multi-hadron finite-volume energies. I. Two-particle states
Journal of High Energy Physics, 2022 We derive analytic expansions for the finite-volume energies of weakly-interacting two-particle systems, using the general relations between scattering amplitudes and energies derived by Lüscher and others.
D. M. Grabowska, M. T. Hansen
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Three relativistic neutrons in a finite volume
Journal of High Energy Physics, 2023 We generalize the relativistic field-theoretic (RFT) three-particle finite-volume formalism to systems of three identical, massive, spin-1/2 fermions, such as three neutrons.
Zachary T. Draper +3 more
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A Selective Review of Group Selection in High-Dimensional Models [PDF]
, 2012 Grouping structures arise naturally in many statistical modeling problems. Several methods have been proposed for variable selection that respect grouping structure in variables.
Breheny, Patrick +2 more
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Bounding the QCD Equation of State with the Lattice
Journal of High Energy Physics, 2023 The equation of state of QCD matter at high densities is relevant for neutron star structure and for neutron star mergers and has been a focus of recent work.
Guy D. Moore, Tyler Gorda
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Bootstrapping the gap in quantum spin systems
Journal of High Energy Physics, 2023 In this work we report on a new bootstrap method for quantum mechanical problems that closely mirrors the setup from conformal field theory (CFT). We use the equations of motion to develop an analogue of the conformal block expansion for matrix elements ...
Colin Oscar Nancarrow, Yuan Xin
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Machine learning challenges in theoretical HEP [PDF]
, 2017 In these proceedings we perform a brief review of machine learning (ML) applications in theoretical High Energy Physics (HEP-TH). We start the discussion by defining and then classifying machine learning tasks in theoretical HEP.
Carrazza, Stefano
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Towards learning optimized kernels for complex Langevin
Journal of High Energy Physics, 2023 We present a novel strategy aimed at restoring correct convergence in complex Langevin simulations. The central idea is to incorporate system-specific prior knowledge into the simulations, in order to circumvent the NP-hard sign problem.
Daniel Alvestad +2 more
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Water Practice and Technology, 2009 Water industries worldwide are becoming increasingly interested, due to the recent improvements in the devices, methodologies and tools available, in the development and utilisation of Real Time Monitoring/Control (RT-M/C) applications. The University of Sheffield Pennine Water Group is currently researching the development of RT-M/C solutions for ...
A. J Saul, D. M Unwin
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Journal of High Energy Physics, 2023 The critical endpoint of the (3+1)-dimensional ℤ3 gauge-Higgs model at finite density is determined by the tensor renormalization group method. This work is an extension of the previous one on the ℤ2 model.
Shinichiro Akiyama, Yoshinobu Kuramashi
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Backpropagating Hybrid Monte Carlo algorithm for fast Lefschetz thimble calculations
Journal of High Energy Physics, 2022 The Picard-Lefschetz theory has been attracting much attention as a tool to evaluate a multi-variable integral with a complex weight, which appears in various important problems in theoretical physics.
Genki Fujisawa +3 more
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