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Nuclear Theory·nucl-th

Tuesday·October 16, 2018

17 papers—14 primary·3 cross-listed

All17Primary14Cross-lists3
  1. 15

    [Submitted on 12 Oct 2018] (cross-list from hep-ph)

    Non-Perturbative Effects in

    Wouter Dekens🇺🇸 · Elizabeth E. Jenkins🇺🇸 · Aneesh V. Manohar🇺🇸 · Peter Stoffer🇺🇸

    We compute the non-perturbative contribution of semileptonic tensor operators to the purely leptonic process and to the electric and magnetic dipole moments of charged leptons by matching onto chiral perturbation theory at low energies. This matching procedure has been used extensively to study semileptonic and leptonic weak decays of hadrons. In this paper, we apply it to observables that contain no strongly interacting external particles. The non-perturbative contribution to processes is used to extract the best current bound on lepton-flavor-violating semileptonic tensor operators, TeV. We briefly discuss how the same method applies to dark-matter interactions.

    Comments:
    21 pages, 1 figure; version published in JHEP
    Subjects:
    High Energy Physics — Phenomenology (hep-ph); High Energy Physics — Experiment (hep-ex); Nuclear Theory (nucl-th)
    arXiv:
    1810.05675 [pdf]
    JHEP(2019)·50 citations
  2. 16

    [Submitted on 15 Oct 2018] (cross-list from nucl-ex)

    Machine Learning based jet momentum reconstruction in heavy-ion collisions

    Rüdiger Haake (Yale University)🇺🇸 · Constantin Loizides (ORNL)🇺🇸

    The precise reconstruction of jet transverse momenta in heavy-ion collisions is a challenging task. A major obstacle is the large number of (mainly) low- particles overlaying the jets. Strong region-to-region fluctuations of this background complicate the jet measurement and lead to significant uncertainties. In this paper, a novel approach to correct jet momenta (or energies) for the underlying background in heavy-ion collisions is introduced. The proposed method makes use of common Machine Learning techniques to estimate the jet transverse momentum based on several parameters, including properties of the jet constituents. Using a toy model and HIJING simulations, the performance of the new method is shown to be superior to the established standard area-based background estimator. The application of the new method to data promises the measurement of jets down to extremely low transverse momenta, unprecedented thus far in data on heavy-ion collisions.

    Comments:
    8 pages, 10 captioned figures, published version (changes wrt v1 are inclusion of JEWEL and jet mass results)
    Subjects:
    Nuclear Experiment (nucl-ex); Nuclear Theory (nucl-th)
    arXiv:
    1810.06324 [pdf]
    PRC(2019)·48 citations
  3. 17

    [Submitted on 15 Oct 2018] (cross-list from hep-ph)

    Phenomenology using PARTONS software of Generalized Parton Distribution models built from Light-Front Wave-functions

    Nabil Chouika🇫🇷

    We present a procedure aiming at extending to the full kinematic domain a Generalized Parton Distribution obtained from a finite order truncation in Fock space. This method allows to fulfill both polynomiality and positivity at the same time and can be applied to any given models of Light-front wave-functions. In particular, we illustrate this on a three-body truncated wave-function of the chiral quark soliton model and show how a systematic phenomenology of GPD models based on LFWFs can be achieved with the help of the PARTONS framework, here using DVCS data. This paves the way for a unified phenomenology of GPDs and TMDs at the level of LFWFs, with the final goal of hadron tomography.

    Comments:
    5 pages, 3 figures, PoS DIS 2018
    Subjects:
    High Energy Physics — Phenomenology (hep-ph); Nuclear Theory (nucl-th); Computational Physics (physics.comp-ph)
    arXiv:
    1810.06501 [pdf]
    PoS(2018)·0 citations

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first authorsco-authorsvia INSPIRE