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We develop a generative neural network for the generation of sparse data in particle physics using a permutation-invariant and physics-informed loss function. The input dataset used in this study consists of the particle constituents of…

Data Analysis, Statistics and Probability · Physics 2021-10-01 Breno Orzari , Thiago Tomei , Maurizio Pierini , Mary Touranakou , Javier Duarte , Raghav Kansal , Jean-Roch Vlimant , Dimitrios Gunopulos

In this work we calculate for the first time the next-to-next-to leading order (NNLO) QCD corrections to identified hadron production at hadron colliders. The inclusion of the NNLO correction has an important impact on all observables…

High Energy Physics - Phenomenology · Physics 2025-10-23 Michał Czakon , Terry Generet , Alexander Mitov , Rene Poncelet

The inclusive decay B --> X_u l nu is of much interest because of its potential to constrain the CKM element |V_ub|. Experimental cuts required to suppress charm background restrict measurements of this decay to the shape-function region,…

High Energy Physics - Phenomenology · Physics 2009-01-08 H. M. Asatrian , C. Greub , B. D. Pecjak

We start from an MIT-bag model calculation which provides information about the constituent quark distributions in the nucleon. The constituent quarks, however, are themselves considered as complex objects whose partonic substructure is…

High Energy Physics - Phenomenology · Physics 2009-09-25 J. Keppler , H. M. Hofmann

The ATLAS collaboration has introduced and implemented a strategy for selecting and analyzing large-radius jets composed of skinny $R=0.2$ subjets in heavy ion collisions at the LHC. We show how measurements of these jets teach us about the…

High Energy Physics - Phenomenology · Physics 2025-05-26 Arjun Srinivasan Kudinoor , Daniel Pablos , Krishna Rajagopal

Accurate determination of particle track reconstruction parameters will be a major challenge for the High Luminosity Large Hadron Collider (HL-LHC) experiments. The expected increase in the number of simultaneous collisions at the HL-LHC…

Inspired by the success of analytical models for non-perturbative effects, used to investigate event shape variables at LEP and HERA, we apply them to a study of jets at hadron colliders such as the Tevatron and the LHC. We find that simple…

High Energy Physics - Phenomenology · Physics 2008-05-16 Mrinal Dasgupta , Lorenzo Magnea , Gavin Salam

We present FMNLO, a framework to combine general-purpose Monte Carlo generators and fragmentation functions (FFs). It is based on a hybrid scheme of phase-space slicing method and local subtraction method, and accurate to next-to-leading…

High Energy Physics - Phenomenology · Physics 2024-01-09 ChongYang Liu , XiaoMin Shen , Bin Zhou , Jun Gao

New methods of solutions of the DGLAP equation and their implementation through NNLO in QCD are briefly reviewed. We organize the perturbative expansion that describes in $x$-space the evolved parton distributions in terms of scale…

High Energy Physics - Phenomenology · Physics 2008-12-30 Alessandro Cafarella , Claudio Coriano , Marco Guzzi

The jet angularities are a class of jet substructure observables which characterize the angular and momentum distribution of particles within jets. These observables are sensitive to momentum scales ranging from perturbative hard…

Nuclear Experiment · Physics 2022-12-02 ALICE Collaboration

Jet substructure observables are crucial for exploring the effects of the hot, dense medium and differentiating between quark and gluon jets. In this paper, we investigate the modification of jet shape by calculating the differential girth…

High Energy Physics - Phenomenology · Physics 2023-02-28 Si-Yu Tang , Wei Zhang , Wen-Di Deng , Cheng-De Tian , Fan Yang , Ren-Zhuo Wan

We introduce jet topics: a framework to identify underlying classes of jets from collider data. Because of a close mathematical relationship between distributions of observables in jets and emergent themes in sets of documents, we can apply…

High Energy Physics - Phenomenology · Physics 2018-06-20 Eric M. Metodiev , Jesse Thaler

The determination of charged particle trajectories (tracking) in collisions at the CERN Large Hadron Collider (LHC) is one of the most important aspects for event reconstruction at hadron colliders. This is especially true in the high…

Instrumentation and Detectors · Physics 2022-12-06 H. Abidi , A. Boveia , V. Cavaliere , D. Furletov , A. Gekow , C. W. Kalderon , S. Yoo

In high energy physics (HEP) experiments, the reconstruction of charged particle trajectories is one of the most fundamental yet computationally expensive parts of event processing. At future hadron colliders such as the High-Luminosity…

Instrumentation and Detectors · Physics 2020-07-03 Xiaocong Ai

We consider dijet production in $e^+e^-$ collisions and in $H\to b{\bar b}$ decays at next-to-next-to-leading order (NNLO) in perturbative QCD. A new non-local subtraction scheme is applied, for the first time, to obtain the fully…

High Energy Physics - Phenomenology · Physics 2025-12-04 Luca Buonocore , Massimiliano Grazzini , Flavio Guadagni , Jürg Haag , Stefan Kallweit , Luca Rottoli

In this work, we present a study on ways that tracking algorithms can be improved with machine learning (ML). We base this study on the line segment tracking (LST) algorithm that we have designed to be naturally parallelized and vectorized…

An intuitive definition of the partonic flavor of a jet in quantum chromodynamics is often only well-defined in the deep ultraviolet, where the strong force becomes a free theory and a jet consists of a single parton. However, measurements…

High Energy Physics - Phenomenology · Physics 2022-11-21 Simone Caletti , Andrew J. Larkoski , Simone Marzani , Daniel Reichelt

Jet production at hadron colliders is a benchmark process to probe the dynamics of the strong interaction and the structure of the colliding hadrons. One of the most basic jet production observables is the single jet inclusive cross…

High Energy Physics - Phenomenology · Physics 2018-11-14 James Currie , Aude Gehrmann-De Ridder , Thomas Gehrmann , E. W. N. Glover , Alexander Huss , Joao Pires

We show how generalized energy correlation functions can be used as a powerful probe of jet substructure. These correlation functions are based on the energies and pair-wise angles of particles within a jet, with (N+1)-point correlators…

High Energy Physics - Phenomenology · Physics 2015-06-15 Andrew J. Larkoski , Gavin P. Salam , Jesse Thaler
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