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Nuclear Theory·nucl-th

Friday·December 17, 2021

8 papers—4 primary·4 cross-listed

All8Primary4Cross-lists4
  1. 05

    Holographic approach to compact stars and their binary mergers

    Carlos Hoyos🇪🇸 · Niko Jokela🇫🇮 · Aleksi Vuorinen🇫🇮

    In this review article, we describe the role of holography in deciphering the physics of dense QCD matter, relevant for the description of compact stars and their binary mergers. We review the strengths and limitations of the holographic duality in describing strongly interacting matter at large baryon density, walk the reader through the most important results derived using the holographic approach so far, and highlight a number of outstanding open problems in the field. Finally, we discuss how we foresee holography contributing to compact-star physics in the coming years.

    ↳ hep-thastro-ph.HEgr-qchep-ph+1PPNP(2022)·64 citations
  2. 06

    Deep Inelastic Scattering in the Dipole Picture at Next-to-Leading Order

    H. Hänninen🇫🇮

    This thesis studies gluon saturation in hadronic matter at high energy by calculating next-to-leading order (NLO) corrections to inclusive and diffractive deep inelastic scattering cross sections in the Color Glass Condensate (CGC) effective field theory. We demonstrate that the large soft gluon logarithm is correctly factorized into the Balitsky-Kovchegov (BK) renormalization group equation by accurately connecting the NLO scattering kinematics to the rapidity scale of the dipole amplitude in the scattering. This brings the perturbative expansion under control and enables us to do precision comparisons between theory and data. We fit the initial condition of the BK evolution equation to HERA inclusive deep inelastic scattering data by combining the NLO accuracy inclusive cross sections with beyond leading order BK evolution prescriptions. This results in the state-of-the-art accuracy comparison between CGC theory and HERA data, and determination of the dipole amplitude initial shape which is a necessary input for all NLO CGC phenomenology. In this introductory part, the effect of the NLO BK equation on the fits is assessed, and an alternative form for the NLO loop correction to the inclusive cross sections is derived which enables the consistent setting of the dipole amplitude rapidity scale in the NLO corrections. Diffraction is studied in this thesis in the CGC formalism, and we calculate the tree-level NLO contribution to the diffractive deep inelastic scattering structure functions where the Fock state scatters off the target and becomes the diffractively produced system. This contribution has previously been known in the literature only in leading accuracy valid at large , and only for the structure function . The contribution to both structure functions and are presented in full NLO accuracy.

    ↳ hep-phnucl-thJYU Dissertations 444, 2021, ISBN:978-951…·9 citations
  3. 07

    Hadron spin structure from lattice QCD

    Constantia Alexandrou (Univ. of Cyprus and The Cyprus Inst.)🇨🇾

    We present results on the spin carried by quarks and gluons in the nucleon using lattice QCD simulations with physical values of the light, strange and charm quark masses. We also discuss selective results on the x-dependence of parton distribution functions computed in lattice QCD employing the quasi-parton distribution approach and the large momentum effective theory.

    ↳ hep-lathep-phnucl-th1 citation
  4. 08

    Preparation of the SU(3) Lattice Yang-Mills Vacuum with Variational Quantum Methods

    Anthony N Ciavarella🇺🇸 · Ivan A Chernyshev🇺🇸

    Studying QCD and other gauge theories on quantum hardware requires the preparation of physically interesting states. The Variational Quantum Eigensolver (VQE) provides a way of performing vacuum state preparation on quantum hardware. In this work, VQE is applied to pure SU(3) lattice Yang-Mills on a single plaquette and one dimensional plaquette chains. Bayesian optimization and gradient descent were investigated for performing the classical optimization. Ansatz states for plaquette chains are constructed in a scalable manner from smaller systems using domain decomposition and a stitching procedure analogous to the Density Matrix Renormalization Group (DMRG). Small examples are performed on IBM's superconducting Manila processor.

    ↳ quant-phhep-lathep-phnucl-thPRD(2022)·120 citations

Affiliations

first authorsco-authorsvia INSPIRE