3153 papers
Hep-Ph explores the fundamental forces that govern how particles interact and behave at the smallest scales imaginable. This field bridges the gap between theoretical predictions and experimental reality, helping scientists understand the building blocks of our universe without getting lost in complex mathematics. Whether investigating the Higgs boson or searching for new physics beyond current models, these studies push the boundaries of human knowledge about matter and energy.
At Gist.Science, we process every new preprint in this category as soon as it appears on arXiv. We strip away the dense jargon to offer both accessible plain-language explanations and detailed technical summaries, ensuring that groundbreaking research is understandable to everyone from students to seasoned experts. Below are the latest papers in this dynamic field, ready for you to explore with clarity and depth.
This paper investigates the viability of light bino-higgsino dark matter within natural supersymmetry under recent experimental constraints, finding that while a small portion of the parameter space survives with a sub-dominant relic density, it will be fully tested by future High-Luminosity LHC searches.
This study utilizes an expanding elliptic fire-cylinder model to successfully describe the transverse momentum spectra and elliptic flow of light hadrons produced in peripheral Au+Au collisions across the RHIC Beam Energy Scan range, demonstrating that parameters constrained by pion data can consistently predict the behavior of kaons and protons without further adjustment.
This lattice simulation study reveals that weak acceleration in gluodynamics transforms the finite-temperature confinement-deconfinement phase transition into a spatial crossover where coexisting phases are separated by a boundary accurately described by the Tolman-Ehrenfest law, suggesting such spatial transitions may occur near Schwarzschild black hole horizons.
This paper introduces a novel eigenvalue technique to solve the adjoint Fokker-Planck equation for the probability distribution of inflationary e-folds, revealing a previously overlooked power-law intermediate regime in quantum diffusion and characterizing how constant drift potentials qualitatively alter the distribution's peak and tail behavior in narrow- versus broad-well limits.
This paper proposes a unified framework for the lineshape based on the mixing of a compact isosinglet and a molecular isotriplet via strong isospin breaking, demonstrating how their interference can explain experimental anomalies such as the enhancement of charged decays and distinctive distortions in spectra.
This paper presents a modernized, AI-ready release of approximately 660,000 reconstructed SLD electron-positron collision events and newly digitized internal documentation, converted from legacy formats to facilitate research in both particle physics and machine learning.
This paper proposes a novel dark matter detection framework using matter-wave interferometers within an open-system effective field theory, demonstrating that dark matter can be identified through phase shifts and decoherence effects that exhibit distinct quantum statistical behaviors and span both Markovian and non-Markovian dynamics across a wide mass range.
This paper introduces a machine learning framework that leverages event-level simulation weights as weak supervision signals to learn parameter-informative representations from high-dimensional data, which are then discretized into summary statistics for likelihood-based inference of physics model parameters, demonstrated through the estimation of the top quark Yukawa coupling in four-top-quark production.
This paper proposes that the spectral break observed in the diffuse cosmic neutrino flux near 30 TeV is caused by the -baryon resonance in proton-photon interactions, a mechanism that not only fits the data with a specific proton spectrum and X-ray target but also resolves the tension between neutrino sources and the isotropic gamma-ray background.
This paper demonstrates that the Left-Right Inverse Seesaw model can naturally explain the anomaly by generating a specific negative shift in the Wilson coefficient while suppressing through a non-decoupling charged-scalar/heavy-neutrino box mechanism, all while satisfying stringent flavor and collider constraints.