We introduce two diffusion models and an autoregressive transformer for LHC physics simulations. Bayesian versions allow us to control the networks capture training uncertainties. After illustrating their different density estimation methods simple toy models, we discuss advantages Z plus jets event generation. While excel through precision, scales best with phase space dimensionality. Given evaluation speed, expect benefit from dedicated use cases normalizing flows, transformers.

We introduce two diffusion models and an autoregressive transformer for LHC physics simulations. Bayesian versions allow us to control the networks capture training uncertainties. After illustrating their different density estimation methods simple toy models, we discuss advantages Z plus jets event generation. While excel through precision, scales best with phase space dimensionality. Given evaluation speed, expect benefit from dedicated use cases normalizing flows, transformers.

The phenomenology of axions and axion-like particles strongly depends on their couplings to Standard Model particles. focus this paper is the unique dimension six operator respecting shift symmetry: axion-Higgs portal. We compare constraints from Higgs physics, flavor violating radiative meson decays, bounds atomic spectroscopy searching for fifth forces astrophysical observables. In contrast QCD axion, interacting through portal are stable can provide a dark matter candidate any axion mass....

Protoneutron stars formed during core-collapse supernovae are hot and dense environments that contain a sizable population of muons. If these interact with new long-lived particles masses up to roughly 100 MeV, the latter can be produced escape from stellar plasma, causing an excessive energy loss constrained by observations SN 1987A. In this article we calculate emission light dark fermions coupled leptons via massive vector boson, determine resulting constraints on general parameter space....

Extracting scientific understanding from particle-physics experiments requires solving diverse learning problems with high precision and good data efficiency. We propose the Lorentz Geometric Algebra Transformer (L-GATr), a new multi-purpose architecture for high-energy physics. L-GATr represents in geometric algebra over four-dimensional space-time is equivariant under transformations, symmetry group of relativistic kinematics. At same time, Transformer, which makes it versatile scalable to...

We show that the Lorentz-Equivariant Geometric Algebra Transformer (L-GATr) yields state-of-the-art performance for a wide range of machine learning tasks at Large Hadron Collider. L-GATr represents data in geometric algebra over space-time and is equivariant under Lorentz transformations. The underlying architecture versatile scalable transformer, which able to break symmetries if needed. demonstrate power amplitude regression jet classification, then benchmark it as first...

Generative networks are an exciting tool for fast LHC event generation. Usually, they used to generate configurations with a fixed number of particles. Autoregressive transformers allow us events variable numbers particles, very much in line the physics QCD jet radiation. We show how can learn factorized likelihood radiation and extrapolate terms generated jets. For this extrapolation, bootstrapping training data modifications loss be used.

Proto-neutron stars formed during core-collapse supernovae are hot and dense environments that contain a sizable population of muons. If these interact with new long-lived particles masses up to roughly 100 MeV, the latter can be produced escape from stellar plasma, causing an excessive energy loss constrained by observations SN 1987A. In this article we calculate emission light dark fermions coupled leptons via massive vector boson, determine resulting constraints on general parameter...

Ein F-freier Graph besitzt keinen induzierten Teilgraphen aus einer Menge von verbotenen F. Man kann Kanten in einem Graphen editieren (einfugen oder entfernen) um einen zu erreichen, der F-frei ist. Das Ziel F-free Edge Editing ist es, eine minimale an Editierungsoperation finden, die F-freien fuhren. Wir betrachten Generalisierung, Weighted Editing, beliebige Kosten fur Editierungsoperationen erlaubt. In dieser Arbeit fokussieren wir uns auf parametrisierten Suchbaumalgorithmus (FPT) mit...

The phenomenology of axions and axion-like particles strongly depends on their couplings to Standard Model particles. focus this paper is the unique dimension six operator respecting shift symmetry: axion-Higgs portal. We compare constraints from Higgs physics, flavor violating radiative meson decays, bounds atomic spectroscopy searching for fifth forces astrophysical observables. In contrast QCD axion, interacting through portal are stable can provide a dark matter candidate any axion mass....