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Related papers: An Analytic Initial-State Parton Shower

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We present a complete formalism for final-state (timelike) dipole-antenna showers including fermion masses, but neglecting polarization and finite-width effects. We make several comparisons of tree-level expansions of this shower algorithm…

High Energy Physics - Phenomenology · Physics 2018-11-22 Aude Gehrmann-De Ridder , Mathias Ritzmann , Peter Skands

We present a Monte-Carlo approach to prompt-photon production, where photons and QCD partons are treated democratically. The photon fragmentation function is modelled by an interleaved QCD+QED parton shower. This known technique is improved…

High Energy Physics - Phenomenology · Physics 2014-11-20 Stefan Hoeche , Steffen Schumann , Frank Siegert

The generator QEDPS, a parton shower model in QED, developed by the present authors has been improved. By a careful study on the shower algorithm it was found that some finite contributions have been missed in the original version. They are…

High Energy Physics - Phenomenology · Physics 2016-09-01 T. Munehisa , J. Fujimoto , Y. Kurihara , Y. Shimizu

We perform a detailed analysis of next-to-leading order plus parton-shower matching in vector-boson-fusion WW production including leptonic decays. The study is performed in the Herwig 7 framework interfaced to VBFNLO 3, using the…

High Energy Physics - Phenomenology · Physics 2017-05-24 Michael Rauch , Simon Plätzer

We analyse the dependence of the peak position of the thrust distribution on the cutoff value in the Nagy-Soper dipole shower. We compare the outcome of the parton shower simulations to a relation of the dependence from an analytic…

High Energy Physics - Phenomenology · Physics 2020-10-28 Robin Baumeister , Stefan Weinzierl

The Adaptive Multilevel Splitting algorithm is a very powerful and versatile method to estimate rare events probabilities. It is an iterative procedure on an interacting particle system, where at each step, the $k$ less well-adapted…

Probability · Mathematics 2014-05-07 Charles-Edouard Bréhier , Tony Lelievre , Mathias Rousset

We study contributions from nonperturbative effects and parton showering in NLO event generators, and present applications to jet final states. We find pT-dependent and rapidity-dependent corrections which can affect the shape of observed…

High Energy Physics - Phenomenology · Physics 2013-04-29 S. Dooling , P. Gunnellini , F. Hautmann , H. Jung

In distributional or average-case analysis, the goal is to design an algorithm with good-on-average performance with respect to a specific probability distribution. Distributional analysis can be useful for the study of general-purpose…

Data Structures and Algorithms · Computer Science 2020-07-28 Tim Roughgarden

We present novel methods for predicting the outcome of large elections. Our first algorithm uses a diffusion process to model the time uncertainty inherent in polls taken with substantial calendar time left to the election. Our second model…

Applications · Statistics 2017-04-25 Dhruv Madeka

We compare different procedures for combining fixed-order tree-level matrix-element generators with parton showers. We use the case of W-production at the Tevatron and the LHC to compare different implementations of the so-called CKKW and…

We present a formalism for a fully coherent QED parton shower. The complete multipole structure of photonic radiation is incorporated in a single branching kernel. The regular on-shell 2 to 3 kinematic picture is kept intact by dividing the…

High Energy Physics - Phenomenology · Physics 2018-01-17 Ronald Kleiss , Rob Verheyen

Social sampling is a novel randomized message passing protocol inspired by social communication for opinion formation in social networks. In a typical social sampling algorithm, each agent holds a sample from the empirical distribution of…

Systems and Control · Electrical Eng. & Systems 2024-12-20 Qian Liu , Xingkang He , Haitao Fang

A new model of QCD parton shower is proposed which is dedicated to two-photon process in $e^+ e^-$ scattering. When hadron jets are produced, the photon may resolve into quark-antiquark pairs so that the structure functions of the photon…

High Energy Physics - Phenomenology · Physics 2014-11-17 T. Munehisa , P. Aurenche , J. -Ph. Guillet , M. Fontannaz , Y. Shimizu

This paper presents the method of combining parton shower formalism with perturbative calculations (matrix elements) in form of a Monte-Carlo algorithm for the process g g -> Z b anti-b,consistenlty including the heavy quark masses and…

High Energy Physics - Phenomenology · Physics 2008-11-26 B. P. Kersevan , I. Hinchliffe , L. Mijovic

In this thesis, we present automated, process-independent methods for the calculation of QED real radiative corrections. We review the construction of a parton shower based on Catani-Seymour dipole subtraction, and thus detail the…

High Energy Physics - Phenomenology · Physics 2024-09-05 Lois Flower

The expectation-maximization (EM) algorithm and its variants are widely used in statistics. In high-dimensional mixture linear regression, the model is assumed to be a finite mixture of linear regression and the number of predictors is much…

Statistics Theory · Mathematics 2023-07-24 Ning Wang , Xin Zhang , Qing Mai

A new family of parameters intended for composition studies is presented. They make exclusive use of surface data combining the information from the total signal at each triggered detector and the array geometry. We perform an analytical…

High Energy Astrophysical Phenomena · Physics 2009-08-03 G. Ros , A. D. Supanitsky , G. A. Medina-Tanco , L. del Peral , M. D. Rodriguez-Frias

In this contribution, we will give a brief overview of the progress that has been achieved in the field of combining matrix elements and parton showers. We exemplify this by focusing on the case of electron--positron collisions and by…

High Energy Physics - Phenomenology · Physics 2012-04-26 Jan Winter , Stefan Hoeche , Hendrik Hoeth , Frank Krauss , Marek Schonherr , Steffen Schumann , Frank Siegert , Korinna Zapp

We introduce a first-ever algorithm for the reconstruction of multiple showers from the data collected with electromagnetic (EM) sampling calorimeters. Such detectors are widely used in High Energy Physics to measure the energy and…

Machine Learning · Computer Science 2022-01-05 Vladislav Belavin , Ekaterina Trofimova , Andrey Ustyuzhanin

The Expectation--Maximization (EM) algorithm is a simple meta-algorithm that has been used for many years as a methodology for statistical inference when there are missing measurements in the observed data or when the data is composed of…

Machine Learning · Statistics 2022-11-15 Hideitsu Hino , Shotaro Akaho , Noboru Murata
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