4286 papers
Hep-Th, or high-energy theoretical physics, explores the fundamental building blocks of our universe and the forces that govern them. Researchers in this field use complex mathematics to understand everything from subatomic particles to the behavior of black holes, often pushing the boundaries of what we know about space and time.
At Gist.Science, we monitor the arXiv repository to ensure you stay ahead of the curve in this rapidly evolving discipline. For every new preprint uploaded to arXiv under this category, our team generates both accessible plain-language overviews and detailed technical summaries, making cutting-edge research understandable regardless of your background.
Below are the latest papers in high-energy theoretical physics, curated to help you navigate the most significant recent discoveries.
This paper investigates boundary mutual information in a double holography setup of AdS gravity coupled to a flat heat bath, using numerical surface optimization and random tensor networks to reveal a phase transition and demonstrate that bulk quantum fields induce a negative correction to the mutual information, causing the geometric contribution to exceed the total value.
This paper constructs reversible holographic heat engines for Schwarzschild black holes in asymptotically flat spacetime by treating the thermodynamics of a finite spherical cavity as the working substance, deriving and comparing the exact efficiencies of various engine cycles to reveal how they approach the Carnot limit in the high-temperature regime.
This study presents the first systematic QCD light-cone sum rule investigation of the electromagnetic multipole structure, including magnetic dipole, electric quadrupole, and magnetic octupole moments, for doubly strange hidden-charm pentaquarks with and , revealing significant sensitivity to internal color-spin correlations and charm-quark dominance while providing theoretical benchmarks for future experimental and lattice QCD validation.
This paper investigates exclusive electroproduction of quark and gluon dijets within the collinear factorization framework to probe generalized parton distributions, incorporating helicity contributions and elastic form factors while comparing predictions to HERA data and projecting future measurements for the Electron-Ion Collider.
This paper introduces a unified framework for Galilean and Carrollian limits by defining Euclidean -brane Carroll limits, which leads to the discovery of the Alice algebra and Alice particles, establishes their connection to D-branes in type IIA theory, and derives their actions through null reduction and cosmological constant analysis.
This paper demonstrates that asymptotically Bertotti-Robinson multi-black hole solutions in Einstein-Maxwell theory can be constructed using three-dimensional sigma-model techniques, thereby avoiding the need for the monodromy-matrix approach.
This paper employs on-shell methods and complex factorisation constraints to derive the structure and couplings of massive supermultiplets, demonstrate that massless helicity-3/2 particles necessitate supergravity, and fully reconstruct the perturbative structure of gauged supergravity vacua via the super-Higgs mechanism.
This paper employs exact Bethe Ansatz and thermodynamic Bethe Ansatz methods to study a -symmetric non-Hermitian multichannel Kondo model, revealing four distinct impurity phases and demonstrating that while the Kondo phase obeys a generalized -theorem, the zero-mode and local-moment phases exhibit non-monotonic impurity entropy flow that violates RG irreversibility despite maintaining a real spectrum and CFT-consistent defect entropies.
This paper investigates the entanglement entropy of fermions in a solvable large- 1D strange metal model, demonstrating that the crossover from thermal to entanglement entropy follows a universal scaling law described by a standard conformal field theory formula with an effective central charge significantly enhanced by strong interactions.
The paper introduces **llm4smeft**, an open-source, locally runnable framework that combines a literature fine-tuned language model with retrieval-augmented generation to automate the selection of relevant SMEFT operators and their Fisher information for sparse global fits, thereby reducing reliance on manual theoretical insight.