5257 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 presents next-to-next-to-next-to-leading logarithmic (NLL) resummation combined with fixed-order corrections to predict lepton-jet azimuthal angular distributions in deep-inelastic scattering, offering a precision framework for probing the nucleon's three-dimensional structure and analyzing data from HERA and future electron-ion collider experiments.
This paper proposes that gravitational waves generated during the decay of heavy right-handed neutrinos in the early Universe could serve as a unique observational signature to probe both leptogenesis and the minimal neutrino seesaw mechanism, offering a way to validate these otherwise difficult-to-detect processes responsible for neutrino mass and the baryon asymmetry.
This paper demonstrates that using the scheme of Loop Quantum Gravity within metric variables allows for an effective description of Oppenheimer-Snyder gravitational collapse in both flat and spherical models where a negative pressure term prevents singularity formation and facilitates a transition from a black hole to a white hole state at the Planck scale.
This paper presents a comprehensive analysis combining multiple CMB probes, DESI DR2 BAO, and supernova data, which reveals a significant preference for interacting dark energy models with an interaction term proportional to dark energy density () over the standard CDM model, particularly when using SPT+DESI+DESY5 data that shows a deviation from zero interaction.
This paper develops an effective field theory framework to describe the interaction between heavy quarks and a strongly coupled, non-dissipative quark-gluon plasma treated as a relativistic fluid, enabling the systematic calculation of heavy quark quasiparticle widths and scattering processes with fluid phonons.
This paper summarizes recent observations of high and ultrahigh energy neutrinos, highlighting the detection of a diffuse cosmic background, the identification of source candidates, and the observation of Galactic plane emissions, which collectively open a new window for probing the universe beyond the reach of photons.
This study benchmarks four classical and four hybrid quantum machine learning models on an eight-qubit, PCA-constrained CMS open data trigger task, finding that while the classical artificial neural network outperforms all quantum counterparts in accuracy and ROC-AUC, trainable hybrid quantum embeddings (specifically the quantum convolutional network) achieve competitive results, serving as a controlled reference point rather than a demonstration of quantum advantage.
This paper introduces FlaSR, a Mathematica package that automatically generates higher-order -spin amplitude and amplitude-squared sum rules for systems of symmetry-related processes based on recent mathematical insights into flavor symmetries.
The paper introduces OperatorToC++, a hybrid Mathematica-C++ tool that transpiles complex analytical Effective Field Theory matching results into efficient, callable C++ and Python routines to facilitate further numerical analysis in high-energy physics.
This paper applies first-principles many-body ab initio nuclear modeling with chiral effective field theory to calculate light dark matter mediator production rates at electron fixed-target experiments, revealing that a quasi-elastic treatment can increase predicted signal yields by up to two orders of magnitude compared to standard phenomenological parameterizations.