PaperPanorama

HEP Lattice·hep-lat

Mon·Sep 20, 2021

2 papers2 primary·0 cross-listed·reconstructed*

  1. 01*

    Interpreting machine learning functions as physical observables

    Gert Aarts🇬🇧 · Dimitrios Bachtis🇬🇧 · Biagio Lucini🇬🇧

    We propose to interpret machine learning functions as physical observables, opening up the possibility to apply "standard" statistical-mechanical methods to outputs from neural networks. This includes histogram reweighting and finite-size scaling, to analyse phase transitions quantitatively. In addition we incorporate predictive functions as conjugate variables coupled to an external field within the Hamiltonian of a system, allowing to induce order-disorder phase transitions in a novel manner. A noteworthy feature of this approach is that no knowledge of the symmetries in the Hamiltonian is required.

    hep-latPoS(2022)·4 citations
  2. 02*

    Tetraquark systems in the static limit and lattice QCD

    Mitja Sadl🇸🇮 · Sasa Prelovsek🇸🇮

    Two hadrons with exotic quark content were discovered by Belle. We present a lattice study of the systems with various quantum numbers using static bottom quarks. Only one set of quantum numbers that couples to and was explored on the lattice before; these studies found an attractive potential between and resulting in a bound state below the threshold. The present study considers the other three sets of quantum numbers. Eigenenergies of the system are extracted as a function of separation between and . The resulting eigenenergies do not show any sizable deviation from noninteracting energies of the systems and , so no significant attraction or repulsion is found. A slight exception is a small attraction between and at small distance for the quantum number that couples to and .

    hep-lathep-phPRD(2021)·32 citations

* Reconstructed cohort: no mailing for this day survives in the archive. Papers are grouped by their submission times and arXiv's announcement cut-off, assuming announcement without delay; positions follow identifier order. Validated at ~91% exact-day agreement against the archived era.