5447 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 introduces an automated, iterative optimization technique using the MadAnalysis5 interface to systematically rank observables and select cuts, thereby enhancing the discovery potential for new physics signals like singly charged Higgs bosons in 2HDM scenarios compared to traditional cut-and-count methods.
Using 13.6 TeV proton-proton collision data, the FASER experiment reports the first differential measurement of the muon neutrino interaction cross section and flux in the TeV energy range, confirming Standard Model predictions and distinguishing contributions from pion and kaon decays.
This paper utilizes N-body and semianalytic simulations to demonstrate that the orbital contraction of globular clusters due to dynamical friction serves as a robust, independent probe for confirming the presence of dark matter halos in ultradiffuse and dwarf galaxies like NGC5846-UDG1 and Fornax.
This paper introduces a real-time Wigner-functional lattice framework with a connected-cluster survival criterion to accurately characterize false-vacuum decay rates across the quantum-to-thermal crossover, revealing that global-survival methods can underestimate rates at high temperatures due to multi-seed dynamics while transient effects contaminate fraction observables at low temperatures.
This paper investigates the one-loop effective potential of the r0 (or "GOOFy") symmetric two-Higgs Doublet Model and a minimal symmetric model, concluding that the symmetry remains valid at the one-loop level provided the UV cutoff squared transforms non-trivially under r0 and the minimal model includes two real fields.
This paper investigates the potential of the proposed ESSnuSB far detector to constrain non-standard neutrino interactions using atmospheric neutrinos, demonstrating that it can set competitive upper bounds on interaction parameters while highlighting the experiment's complementarity with accelerator-based programs and its impact on mass ordering and octant sensitivities.
This paper presents a general analytic framework based on a truncated BBGKY hierarchy and Volterra integral equations to model the evolution of cosmic structure in multi-species dark matter scenarios, accounting for both finite velocity dispersion and Poisson fluctuations across arbitrary component mixtures.
This paper employs machine learning techniques to revisit the fermion mass problem in the Georgi-Glashow grand unified theory, demonstrating that models incorporating a 24-dimensional field or a continuous parameter offer a more "beautiful" (closer to the original model) resolution to the observed fermion mass spectrum than those using a 45-dimensional field.
This paper investigates the impact of kinematic skewness on reconstructing Mellin moments of double parton distributions from Euclidean lattice data by analyzing the skewness dependence of hadronic correlation functions through various models.
This paper presents a comprehensive phenomenological analysis of neutrino masses and mixing within a five-dimensional Large Extra Dimension scenario featuring a bulk fermion, systematically investigating four distinct mass generation models to derive oscillation predictions and constrain the extra-dimensional parameters against experimental data.