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It is well known that in $b$ hadron decays with a single unreconstructible final state particle, the decay kinematics can be solved up to a quadratic ambiguity, without any knowledge of the $b$ hadron momentum. We present a method to infer…

High Energy Physics - Experiment · Physics 2017-02-15 G. Ciezarek , A. Lupato , M. Rotondo , M. Vesterinen

This paper presents the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use machine learning algorithms to reconstruct tracks, including their momentum and direction, with high…

Instrumentation and Detectors · Physics 2024-04-24 Gagik Gavalian

Hadronization is a non-perturbative process, which theoretical description can not be deduced from first principles. Modeling hadron formation requires several assumptions and various phenomenological approaches. Utilizing state-of-the-art…

High Energy Physics - Phenomenology · Physics 2022-01-11 Gábor Bíró , Bence Tankó-Bartalis , Gergely Gábor Barnaföldi

Parton recombination has been found to be an extremely useful model to understand hadron production at the Relativistic Heavy Ion Collider. It is particularly important to explore its connections with hard processes. This article reviews…

Nuclear Theory · Physics 2008-11-26 Rainer J. Fries

In the study of multiple scattering of partons in hadron-hadron collisions the possibility of a hard inelastic process at the parton level is included in its simplest possible way, $i.e.$ including the $2 \to 3$ transition. The specific…

High Energy Physics - Phenomenology · Physics 2017-08-23 G. Calucci , E. Cattaruzza

We revisit the notion of nuclear parton-to-pion fragmentation functions at next-to-leading order accuracy as an effective description of hadroproduction in nuclear environments such as in semi-inclusive lepton-nucleus deep-inelastic…

High Energy Physics - Phenomenology · Physics 2025-02-14 Matias Doradau , Ramiro Tomas Martinez , Rodolfo Sassot , Marco Stratmann

Reconstructing the trajectories of charged particles in high-energy collisions requires high precision to ensure reliable event reconstruction and accurate downstream physics analyses. In particular, both precise hit selection and…

High Energy Physics - Experiment · Physics 2026-04-27 Andrea Coccaro , Francesco Armando Di Bello , Lucrezia Rambelli , Stefano Rosati , Carlo Schiavi

We compute the next-to-leading order QCD corrections to the polarized (and unpolarized) cross sections for the production of a hadron accompanied by an opposite-side prompt photon. This process, being studied at RHIC, permits us to…

High Energy Physics - Phenomenology · Physics 2015-03-17 Daniel de Florian , German F. R. Sborlini

Magnetic Resonance (MR) image reconstruction from highly undersampled $k$-space data is critical in accelerated MR imaging (MRI) techniques. In recent years, deep learning-based methods have shown great potential in this task. This paper…

Image and Video Processing · Electrical Eng. & Systems 2022-08-25 Bingyu Xin , Timothy S. Phan , Leon Axel , Dimitris N. Metaxas

We study the use of deep learning techniques to reconstruct the kinematics of the neutral current deep inelastic scattering (DIS) process in electron-proton collisions. In particular, we use simulated data from the ZEUS experiment at the…

High Energy Physics - Phenomenology · Physics 2023-01-24 Markus Diefenthaler , Abdullah Farhat , Andrii Verbytskyi , Yuesheng Xu

The effective kinetic theory (EKT) of QCD provides a possible picture of various non-equilibrium processes in heavy- and light-ion collisions. While there have been substantial advances in simulating the EKT in simple systems with enhanced…

High Energy Physics - Phenomenology · Physics 2025-10-01 Sergio Barrera Cabodevila , Aleksi Kurkela , Florian Lindenbauer

Photo-induced processes are fundamental in nature, but accurate simulations are seriously limited by the cost of the underlying quantum chemical calculations, hampering their application for long time scales. Here we introduce a method…

One of the most active areas of investigation in relativistic heavy-ion collisions is the study of the jet quenching phenomenon whereby hard partons lose their energy as they traverse the hot, dense matter created in such collisions. Strong…

Nuclear Experiment · Physics 2019-08-14 Matthew Nguyen

We perform a detailed investigation of multiple hard interactions in hadron-hadron collisions. We discuss the space-time, spin and color structure of multiple interactions, classify different contributions according to their power behavior…

High Energy Physics - Phenomenology · Physics 2016-02-19 Markus Diehl , Daniel Ostermeier , Andreas Schafer

We present and use a technique for implementing in a fast way, and without any approximations, higher-order calculations of partonic cross sections into global analyses of parton distribution functions. The approach, which is set up in…

High Energy Physics - Phenomenology · Physics 2011-03-23 M. Stratmann , W. Vogelsang

We re\,examine the theory of hadronic photon-nucleon interactions at the quark-gluon level. The possibility of multiple parton collisions in a single photon-nucleon collision requires an eikonal treatment of the high-energy scattering…

High Energy Physics - Phenomenology · Physics 2014-11-17 K. Honjo , L. Durand , R. Gandhi , I. Sarcevic , H. Pi

At hadron colliders, the production of heavy new particles is associated with additional quarks and gluons with significant transeverse momentum. The additional jets complicates the reconstruction of new particle masses. Taking gluino pair…

High Energy Physics - Phenomenology · Physics 2009-10-29 Johan Alwall , Kenji Hiramatsu , Mihoko M. Nojiri , Yasuhiro Shimizu

Deciphering the complex information contained in jets produced in collider events requires a physical organization of the jet data. We introduce two-particle correlations (2PCs) by pairing individual particles as the initial jet…

High Energy Physics - Phenomenology · Physics 2020-07-01 Kai-Feng Chen , Yang-Ting Chien

We propose a framework for the joint inference of network topology, multi-type interaction kernels, and latent type assignments in heterogeneous interacting particle systems from multi-trajectory data. This learning task is a challenging…

Machine Learning · Statistics 2026-02-05 Quanjun Lang , Xiong Wang , Fei Lu , Mauro Maggioni
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