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 introduces a scalable framework that utilizes normalizing flows to construct physics-informed priors incorporating neutron star physics and equation of state constraints, thereby improving source classification and yielding tighter, more accurate parameter estimates for gravitational wave events compared to traditional agnostic priors.
This paper introduces a transfer learning methodology for fast electromagnetic shower simulation that leverages point cloud representations and pre-training on the International Large Detector to efficiently adapt generative models to new detector geometries with minimal target-domain data, significantly outperforming training from scratch while updating only a fraction of the model parameters.
This paper presents the first measurement of the Hubble constant ( km sMpc) and a constraint on the gravitational wave bias by detecting a cross-correlation peak between gravitational wave events and galaxy distributions using the "Peak Sirens" method.
This paper presents a systematic and efficient framework for computing vacuum decay rates in D-dimensional electroweak theories by consistently incorporating quantum fluctuations from scalar, fermion, and gauge fields, a method validated through applications to the D=4 SMEFT and its D=3 thermal counterpart.
Using archival DELPHI data, this paper demonstrates that charge correlators in hadronic Z-boson decays provide a clean, macroscopic observation of electroweak anomalies, offering a refined method for precision electroweak studies and addressing longstanding tensions in hadronic asymmetry measurements.
This paper proposes that the Diffuse Supernova Neutrino Background (DSNB) can determine whether neutrinos are Dirac or Majorana particles by detecting flux alterations caused by resonant chirality flips in magnetorotational supernovae, a signature potentially observable by Hyper-Kamiokande and JUNO within 20 years if a sufficient fraction of core collapses involve strong magnetic fields.
This paper proposes projected energy correlators measured on the recoiling QCD radiation of a boson as a benchmark observable for precision QCD at the LHC, presenting the first complete NLO+NNLL matched predictions by combining fixed-order amplitudes, high-order resummation, and non-perturbative matrix elements within a flexible framework that avoids jet algorithms.
This paper presents a relativistic perturbative framework to compute corrections to black hole quasibound-state spectra caused by environmental factors like galactic halos, accretion disks, and binary companions, demonstrating that previous non-relativistic estimates of superradiance termination require revision.
This paper employs flow matching and autoencoders to perform a global search within the Type-I seesaw mechanism, successfully generating solutions for neutrino parameters and uncovering new non-linear correlations between neutrino masses and CP phases that may explain mass hierarchies and mixing patterns.
This paper demonstrates that a multivariate analysis at a 3 TeV CLIC can achieve a discovery significance exceeding for the single production of vector-like bottom quarks in a type-II Two-Higgs-Doublet Model with masses between 1.3 and 1.5 TeV, even with a 15% background normalization uncertainty, whereas a traditional cut-based approach fails to reach discovery sensitivity.