3413 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 analytically solves the modified Dirac equation for Majorana neutrinos with transition magnetic moments in a magnetic field using a wave packet formalism to derive oscillation probabilities and demonstrate that decoherence effects, which depend on the relative strengths of vacuum and magnetic frequencies, can occur during propagation in supernova magnetic fields.
This paper demonstrates that the Short-Baseline Near Detector (SBND) can probe previously unexplored light dark matter parameter spaces by detecting MeV-scale photon "blips" from nuclear de-excitation, utilizing state-of-the-art ab initio nuclear theory to predict signals from argon excited states up to 18 MeV.
This paper calculates the shear viscosity of quantum chromodynamics across finite baryon, strangeness, and charge densities by combining perturbative QCD results at high densities with an excluded-volume hadron resonance gas model at low densities, while also presenting next-to-leading order weak-coupling results and analyzing the convergence of the perturbative series.
This review article discusses how the LISA Cosmology Working Group's analysis demonstrates that while strong parameter degeneracies complicate model reconstruction, gravitational wave signals from first-order phase transitions can still provide complementary constraints on Beyond-Standard-Model scenarios alongside particle collider data.
This paper introduces a robust, jet-free method for measuring energy-energy correlators in LHC proton-proton collisions using event topology and a leading charged hadron reference, which successfully extends measurements to low transverse momentum regimes and reveals distinct QCD dynamics, including the dead-cone effect in heavy flavor events.
This paper proposes a unified framework based on modular symmetry and a type-III seesaw mechanism, where a single complex modulus simultaneously explains neutrino masses, generates the baryon asymmetry via resonant leptogenesis, and produces asymmetric dark matter with a predicted mass of 0.1–2 GeV, all while remaining consistent with current neutrino oscillation data and future experimental constraints.
This study utilizes PYTHIA8 to analyze charge balance functions of identified hadrons in high-multiplicity jets at TeV, revealing a narrowing balancing width and species-dependent dynamics that suggest multiparton interactions and color reconnection can generate collective-like features within small systems.
Inspired by recent LHCb measurements, this paper utilizes a final-state rescattering framework to predict that the decays exhibit branching fractions around with direct CP asymmetries near 1%, whereas the channel shows negligible CP violation and branching ratios highly sensitive to the spin assignments of the states.
This paper presents a comprehensive study of the non-resonant production process at the High-Luminosity LHC within the Higgs Effective Field Theory framework, utilizing both cut-based and multivariate analysis techniques to establish the first sensitivity projections for key HEFT couplings and demonstrate the channel's unique potential to probe extended top-Higgs interactions beyond the Standard Model.
This paper conducts a comparative analysis of Gaussian Process emulators to identify the most effective method for minimizing uncertainty in Bayesian parameter extraction for 3+1D relativistic heavy-ion collisions, thereby improving the interpretation of experimental data regarding the Quark Gluon Plasma.