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Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning and require training data with events that have been matched…

High Energy Physics - Phenomenology · Physics 2024-07-09 Shikai Qiu , Shuo Han , Xiangyang Ju , Benjamin Nachman , Haichen Wang

This paper introduces a novel tree-based model, Learning Hyperplane Tree (LHT), which outperforms state-of-the-art (SOTA) tree models for classification tasks on several public datasets. The structure of LHT is simple and efficient: it…

Machine Learning · Computer Science 2025-01-16 Hongyi Li , Jun Xu , William Ward Armstrong

To evaluate models as hypotheses, we developed the method of Flux Mapping to construct a hypothesis space based on dominant runoff generating mechanisms. Acceptable model runs, defined as total simulated flow with similar (and minimal)…

Methodology · Statistics 2020-09-03 Sina Khatami , Timothy John Peterson , Murray C Peel , Andrew Western

High-momentum top quarks are a natural physical system in collider experiments for testing models of new physics, and jet substructure methods are key both to exploiting their largest decay mode and to assuaging resolution difficulties as…

High Energy Physics - Phenomenology · Physics 2023-07-27 Jack Y. Araz , Andy Buckley , Benjamin Fuks

The hard-scatter processes in hadronic collisions are often largely contaminated with soft background coming from pileup in proton-proton collisions, or underlying event in heavy-ion collisions. This paper presents a new background…

High Energy Physics - Phenomenology · Physics 2024-11-28 Peter Berta , Lucia Masetti , David W. Miller , Martin Spousta

We apply Laplace method for the tree diagrams to calculate the interference terms arising as a result of summation of particles permutations in the final state of scattering. These terms significantly influence the values of experimentally…

High Energy Physics - Phenomenology · Physics 2021-12-02 O. S. Potiienko , I. V. Sharph , N. O. Chudak , D. S. Domin , I. O. Shelkovenko , K. K. Merkotan

The second-order QCD matrix elements give a very good agreement with experimental data on the angular distributions of the four-jet events in e+e- collisions at the Z0 resonance energy. Unfortunately the description of the sub-jet structure…

High Energy Physics - Phenomenology · Physics 2007-05-23 Johan André

We present the physics foundations and recent developments of Herwig 7, the modern successor of the original HERWIG and Herwig++ series. Herwig 7 provides a flexible and systematically improvable framework for the simulation of high-energy…

We propose the Bi-Event Subtraction Technique (BEST) as a method of modeling and subtracting large portions of the combinatoric background during reconstruction of particle decay chains at hadron colliders. The combinatoric background…

High Energy Physics - Phenomenology · Physics 2011-09-13 Bhaskar Dutta , Teruki Kamon , Nikolay Kolev , Abram Krislock

KaTie is a parton-level event generator for hadron scattering processes that can deal with partonic initial-state momenta with an explicit transverse momentum dependence causing them to be space-like. Provided with the necessary transverse…

High Energy Physics - Phenomenology · Physics 2017-11-23 A. van Hameren

Events containing hadronically decaying heavy particles with large momentum, leading to so-called merged jets, are expected to play a significant role in both searches for new physics and measurements of Standard Model processes at the CERN…

High Energy Physics - Experiment · Physics 2011-09-06 Andrew Altheimer , Gustaaf Brooijmans

The standard paired-sample testing approach in the multidimensional setting applies multiple univariate tests on the individual features, followed by p-value adjustments. Such an approach suffers when the data carry numerous features. A…

Machine Learning · Statistics 2023-09-29 Ioannis Bargiotas , Argyris Kalogeratos , Nicolas Vayatis

Generative AI models, such as score-based diffusion models, have recently advanced the field of computational materials science by enabling the generation of new materials with desired properties. In addition, these models could also be…

Materials Science · Physics 2026-01-06 Timo Reents , Arianna Cantarella , Marnik Bercx , Pietro Bonfà , Giovanni Pizzi

In this paper we describe Herwig++ version 2.3, a general-purpose Monte Carlo event generator for the simulation of hard lepton-lepton, lepton-hadron and hadron-hadron collisions. A number of important hard scattering processes are…

High Energy Physics - Phenomenology · Physics 2009-09-29 M. Bahr , S. Gieseke , M. A. Gigg , D. Grellscheid , K. Hamilton , O. Latunde-Dada , S. Platzer , P. Richardson , M. H. Seymour , A. Sherstnev , J. Tully , B. R. Webber

Deep learning methods have proved highly effective for classification and image recognition problems. In this paper, we ask whether this success can be transferred to hypothesis testing: if a neural network can distinguish, for example, an…

Machine Learning · Statistics 2026-04-30 Gery Geenens , Pierre Lafaye de Micheaux , Ivan Muyun Zou

Identifying model Hamiltonians is a vital step toward creating predictive models of materials. Here, we combine Bayesian optimization with the EDRIXS numerical package to infer Hamiltonian parameters from resonant inelastic X-ray scattering…

Strongly Correlated Electrons · Physics 2025-10-30 Marton K. Lajer , Xin Dai , Kipton Barros , Matthew R. Carbone , S. Johnston , M. P. M. Dean

PHASE is a new event generator dedicated to the study of Standard Model processes with six fermions in the final state at the LHC. The code is intended for analyses of vector boson scattering, Higgs search, three gauge boson production, and…

High Energy Physics - Phenomenology · Physics 2011-01-13 E. Accomando , A. Ballestrero , E. Maina

Matrix element reweighting is a powerful experimental technique widely employed to maximize the amount of information that can be extracted from a collider data set. We present a procedure that allows to automatically evaluate the weights…

High Energy Physics - Phenomenology · Physics 2011-02-02 P. Artoisenet , V. Lemaître , F. Maltoni , O. Mattelaer

High-energy physics data analysis relies heavily on the comparison between experimental and simulated data as stressed lately by the Higgs search at LHC and the recent identification of a Higgs-like new boson. The first link in the full…

High Energy Physics - Experiment · Physics 2015-06-12 Denis Perret-Gallix

We summarise the main features of VINCIA's antenna-based treatment of QCD initial- and final-state showers, which includes iterated tree-level matrix-element corrections and automated evaluations of perturbative shower uncertainties. The…

High Energy Physics - Phenomenology · Physics 2016-09-26 Peter Skands , Nadine Fischer , Stefan Prestel , Mathias Ritzmann
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