Renormalization of gauge theories in the background-field approach
Sign Up to like & getrecommendations! Published in 2017 at "Journal of High Energy Physics"
DOI: 10.1007/jhep07(2018)035
Abstract: A bstractUsing the background-field method we demonstrate the Becchi-Rouet-Stora-Tyutin (BRST) structure of counterterms in a broad class of gauge theories. Put simply, we show that gauge invariance is preserved by renormalization in local gauge field… read more here.
Keywords: field; gauge theories; background field; renormalization gauge ... See more keywords
Background field removal technique based on non-regularized variable kernels sophisticated harmonic artifact reduction for phase data for quantitative susceptibility mapping.
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2018.06.006
Abstract: PURPOSE We developed a non-regularized, variable kernel, sophisticated harmonic artifact reduction for phase data (NR-VSHARP) method to accurately estimate local tissue fields without regularization for quantitative susceptibility mapping (QSM). We then used a digital brain… read more here.
Keywords: susceptibility; field; background field; phase data ... See more keywords
Enhancing the magnetic field gradient between two superconductors with rotational motion under a background DC field
Sign Up to like & getrecommendations! Published in 2024 at "Superconductor Science and Technology"
DOI: 10.1088/1361-6668/ad68d1
Abstract: The ability of bulk high-temperature superconductors to trap magnetic flux densities up to one order of magnitude larger than the saturation magnetization of conventional ferromagnetic materials offers the prospect of generating large magnetic flux density… read more here.
Keywords: field; magnetic flux; magnetic field; gradient ... See more keywords
DIS dijet production at next-to-eikonal accuracy in the CGC
Sign Up to like & getrecommendations! Published in 2022 at "Physical Review D"
DOI: 10.1103/physrevd.107.074016
Abstract: We compute dijet production in Deep Inelastic Scattering at low $x$ in the dipole formalism at next-to-eikonal accuracy. We calculate the contributions induced by single photon exchange of either longitudinal or transverse polarization. We include… read more here.
Keywords: next eikonal; dijet production; background field; eikonal accuracy ... See more keywords
Green's Function Total Field Inversion for Quantitative Susceptibility Mapping.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2025.3639776
Abstract: Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging technique that quantifies tissue magnetic susceptibility by deconvolving the measured signal phase data. Accurate background field removal is essential for QSM, especially in surface regions of… read more here.
Keywords: susceptibility; field; green function; background field ... See more keywords
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources
Sign Up to like & getrecommendations! Published in 2022 at "Zeitschrift fur medizinische Physik"
DOI: 10.48550/arxiv.2204.02760
Abstract: INTRODUCTION Background field removal (BFR) is a critical step required for successful quantitative susceptibility mapping (QSM). However, eliminating the background field in brains containing significant susceptibility sources, such as intracranial hemorrhages, is challenging due to… read more here.
Keywords: susceptibility sources; background field; brain; susceptibility ... See more keywords