High Energy Physics (Theory)
String theory, quantum gravity, quantum field theory, and theoretical particle physics.
hep-th ยท 195 papersThe Gravitational Spectral Radio Forest: A Signature of Primordial Black Holes
This paper proposes using interstellar hydrogen as a quantum sensor to detect asteroid-mass Primordial Black Holes via a novel gravitational spectral radio forest.
Anomalies in Neural Network Field Theory
A new Neural Network Field Theory (NN-FT) framework is developed to analyze anomalies and symmetries across machine learning and physics.
Precessing Black Hole Jets and Galactic Fossils
This paper proposes a unified model where a precessing jet from SgrA* explains both the Galactic Centre gamma-ray excess and the Fermi/eROSITA bubbles.
Necessary conditions for causality from linearized stability at ultra-high boosts
New method uses linear stability at ultra-high boosts to constrain causality in relativistic hydrodynamics, exploiting Lorentz-invariant stability.
Scaling Solutions of Matter Form Factors in Asymptotically Safe Quantum Gravity
This paper explores matter form factors in asymptotically safe quantum gravity, finding a non-trivial fixed point and scaling structure compatible with asymptotic safety.
Field Theory of Data: Anomaly Detection via the Functional Renormalization Group. The 2D Ising Model as a Benchmark
This paper proposes a field theory approach using the Functional Renormalization Group for anomaly detection in high-noise data, outperforming traditional metrics.
Distinguishing Higgs portal and neutralino dark matter via vector boson fusion
This paper uses VBF at LHC to distinguish Higgs portal from neutralino dark matter, leveraging distinct kinematic features and achieving >5ฯ differentiation.
Fifth-Force Constraints from UV-Complete Scalar-Tensor Gravity
UV completeness in scalar-tensor gravity restricts fifth-force parameters, allowing current experiments to test and potentially falsify these models.
Pro-Tensor Network
Pro-Tensor Network is a new rigorous graphical framework that categorifies tensor networks, enabling the study of many-many-body theories without common constraints.
From Baby Universes to Narain Moduli: Topological Boundary Averaging in SymTFTs
This paper proposes a SymTFT interpretation of ensemble averaging in low-dimensional holography by averaging over topological boundary conditions.
Machine Learning Approaches to Building Quantum Circuits for Sets of Matrices
This paper uses interpretable machine learning to create a universal, shortest analytic quantum algorithm for arbitrary diagonal matrices of any size.
The Phases of the Scalar S-Matrix Island
This paper tightens S-matrix bounds for scalar scattering, revealing distinct phases on the boundary related to UV mechanisms of gapped scalars.
Hadrons in $\mathcal{N}=2$ supersymmetric QCD from non-Abelian string on 2D black hole
This paper describes hadrons in $\mathcal{N}=2$ SQCD using non-Abelian strings on a 2D black hole, extending to $U(N)$ theories and analyzing phase transitions.
de Sitter Wavefunction from Quadrangular Polylogarithms: Chain Graphs
This paper provides an explicit formula for the cosmological wavefunction in de Sitter space using quadrangular polylogarithms for chain graphs.
The Hagedorn Temperature as a Nonequilibrium Dynamical Bottleneck in String Thermodynamics
This paper reinterprets the Hagedorn temperature as a nonequilibrium dynamical bottleneck in string thermodynamics using Steepest-Entropy-Ascent Quantum Thermodynamics (SEAQT).
Non-planar corrections in the symmetric orbifold
This paper calculates non-planar corrections in the symmetric orbifold, revealing lifted degeneracies, quantum chaos, and integrability only in the planar limit.
Spin and Quadrupole Sectors in Nonrelativistic Gravity
This paper studies nonrelativistic gravity using ADM variables, deriving solutions for rotating compact objects up to NNLO.
Lecture Notes on Statistical Physics and Neural Networks
This paper introduces statistical physics concepts, including phase transitions and renormalization group, relevant to neural networks and deep learning.
Systematic Extraction of Exact Yang-Mills Solutions via Algebraic Tensor Ring Decomposition
This paper introduces an algebraic tensor ring decomposition framework to systematically extract exact classical solutions for non-linear Yang-Mills theory.
Half-Spacetime Gauging of 2-Group Symmetry in 3d
This paper constructs non-invertible duality defects in 3d quantum field theories by half-spacetime gauging of 2-group symmetry.
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