5626 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 proposes a model of "enhanced " symmetry where two right-handed neutrinos possess arbitrarily large charges, keeping them massless until gravity-induced symmetry breaking generates sub-eV neutrino masses, while the resulting light gauge boson offers distinct constraints and detection signatures through neutrino decays and scattering processes.
This paper presents the first comprehensive numerical study demonstrating that entanglement entropy in the Sauter-Schwinger effect transitions from area-law to volume-law scaling under strong-field conditions, revealing a fundamental shift in quantum correlations driven by nonperturbative pair production.
This paper presents a differentiable quantum-trajectory simulation method using score-function gradient estimators to efficiently infer quark-gluon plasma transport coefficients from quarkonium suppression data by enabling gradient-based optimization on open-source Monte Carlo simulations of Lindblad dynamics.
This paper presents an exact analytical evaluation of the two-photon exchange correction to elastic lepton-proton scattering at low energies using heavy-baryon chiral perturbation theory up to NNLO, revealing non-vanishing proton structure effects and demonstrating good perturbative convergence for the kinematic regime relevant to the MUSE experiment.
This paper utilizes QCD light-cone sum rules with high-twist and next-to-leading-order corrections to reanalyze transition form factors, confirming chiral enhancement effects and extracting optimal - mixing parameters that are strongly favored by recent BESIII experimental data.
This paper evaluates the sensitivity of future and colliders to top quark Flavor Changing Neutral Currents within Randall-Sundrum models, incorporating current and projected HL-LHC limits to determine that while the HL-LHC may reach branching ratios of , high-energy lepton colliders offer the potential to probe even smaller coupling strengths.
By combining Machine Learning techniques with the inclusion of crucial kite and Barr-Zee diagrams, this study demonstrates that large CP-odd couplings for the 125 GeV Higgs boson in Type-II and Flipped C2HDM scenarios can be resurrected through precise cancellations, shifting the primary constraints from electron electric dipole moment limits to LHC precision measurements.
This paper introduces the Monte Carlo event generators BHLUMI and BHWIDE for simulating small and large angle Bhabha scattering, respectively, and outlines potential improvements to meet the precision requirements of future electron-positron colliders.
Numerical simulations of ultra-light dark matter halos in dwarf galaxies reveal that dynamical evolution and soliton core effects disfavor particle masses between eV and eV based on observational data from Fornax, Carina, and Leo II, while noting that lower masses may be constrained by tidal stripping and the omission of stellar self-gravity.
This paper proposes and evaluates strategies, including cut-based, supervised, and weakly supervised anomaly searches using the CATHODE method, to detect TeV-scale resonances connected to a dark QCD sector via low-transverse-momentum tracks in LHC data, specifically benchmarking a quirk model with microscopic string lengths.