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Related papers: Chasing New Physics in Stacks of Soft Tracks

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A broad class of scenarios for new physics involving additional strongly-interacting fields generically predicts signatures at hadron colliders which consist solely of large numbers of jets and substantial missing transverse energy. In this…

High Energy Physics - Phenomenology · Physics 2013-05-30 Joseph Bramante , Jason Kumar , Brooks Thomas

Ultra-relativistic heavy ion collisions at RHIC and the LHC open exciting new possibilities for jet physics studies in the presence of hot and dense nuclear matter. Recent theoretical advances in understanding the QCD multi-parton dynamics…

High Energy Physics - Phenomenology · Physics 2007-05-23 Ivan Vitev

Object tracking is an essential problem in computer vision that has been researched for several decades. One of the main challenges in tracking is to adapt to object appearance changes over time and avoiding drifting to background clutter.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-09 Elena Burceanu , Marius Leordeanu

An unconventional solution for finding the location of event creation is presented. It is based on two feed-forward neural networks with fixed architecture, whose parameters are chosen so as to reach a high accuracy. The interaction point…

High Energy Physics - Experiment · Physics 2009-10-31 Gideon Dror , Erez Etzion

Dynamical and statistical properties of the vortex and passive particle advection in chaotic flows generated by four and sixteen point vortices are investigated. General transport properties of these flows are found anomalous and exhibit a…

Chaotic Dynamics · Physics 2009-11-07 Xavier Leoncini , George M. Zaslavsky

Knowledge of free energy barriers separating different states is critically important for assessment of long-term stability of information stored in magnetic devices. This information, however, is not directly accessible by standard…

Mesoscale and Nanoscale Physics · Physics 2017-11-01 Jaroslav Tobik , Roman Martonak , Vladimir Cambel

We introduce a new model for conditional and continuous data morphing called TRansport Adversarial Network for Smooth InTerpolation (TRANSIT). We apply it to create a background data template for weakly-supervised searches at the LHC. The…

High Energy Physics - Phenomenology · Physics 2025-05-27 Ivan Oleksiyuk , Svyatoslav Voloshynovskiy , Tobias Golling

Several physical systems in condensed matter have been modeled approximating their constituent particles as hard objects. The hard spheres model has been indeed one of the cornerstones of the computational and theoretical description in…

Computational Physics · Physics 2015-05-13 Cristiano De Michele

There have been growing interests in leveraging experimental measurements to discover the underlying partial differential equations (PDEs) that govern complex physical phenomena. Although past research attempts have achieved great success…

Machine Learning · Computer Science 2023-05-23 Chengping Rao , Pu Ren , Yang Liu , Hao Sun

Modern precision experiments trapping low-energy particles require detailed simulations of particle trajectories and spin precession to determine systematic measurement limitations and apparatus deficiencies. We developed PENTrack, a tool…

Instrumentation and Detectors · Physics 2017-05-24 Wolfgang Schreyer , Tatsuya Kikawa , Martin J. Losekamm , Stephan Paul , Rüdiger Picker

Phenomenological proposals of searches for new, long-lived particles face a challenge when estimating the reconstruction efficiency of displaced charged-particle tracks. The efficiency depends not only on the charged-particle's momentum…

High Energy Physics - Experiment · Physics 2025-01-03 Emilie Bertholet , Abner Soffer

In this work, we study self-supervised multiple object tracking without using any video-level association labels. We propose to cast the problem of multiple object tracking as learning the frame-wise associations between detections in…

Computer Vision and Pattern Recognition · Computer Science 2023-05-18 Fatemeh Azimi , Fahim Mannan , Felix Heide

Transverse Spherocity is an event structure variable which provide an effective way to disentangle the data into hard and soft components of the processes corresponding to events with small and large numbers of multi-parton interactions…

High Energy Physics - Phenomenology · Physics 2023-01-25 Randhir Singh

Significant effort has been devoted to searching for new fundamental forces of nature. At short length scales (below approximately 10 nm), the strongest experimental constraints come from neutron scattering from individual nuclei in gases.…

High Energy Physics - Phenomenology · Physics 2023-09-11 Zachary Bogorad , Peter W. Graham , Giorgio Gratta

We study experimentally and theoretically mixing at the external boundary of a submerged turbulent jet. In the experimental study we use Particle Image Velocimetry and an Image Processing Technique based on the analysis of the intensity of…

Fluid Dynamics · Physics 2015-05-13 A. Eidelman , T. Elperin , N. Kleeorin , G. Hazak , I. Rogachevskii , O. Sadot , I. Sapir-Katiraie

Motivated by the aim of understanding the effect of media heterogeneity on the swimming dynamics of flagellated bacteria, we study the rotation and swimming of rigid helices in dilute suspensions experimentally and theoretically. We first…

Fluid Dynamics · Physics 2024-11-27 Albane Théry , Andres Zambrano , Eric Lauga , Roberto Zenit

A simple, but fully-covariant model for describing neutral Vector Mesons, in both light and heavy sectors, is briefly illustrated. The main ingredients of our relativistic constituent model are i) an Ansatz for the Bethe-Salpeter vertex for…

High Energy Physics - Phenomenology · Physics 2015-05-18 T. Frederico , E. Pace , S. Pisano , G. Salme'

In this paper, we extend the recently proposed multivariate rank energy distance, based on the theory of optimal transport, for statistical testing of distributional similarity, to soft rank energy distance. Being differentiable, this in…

Machine Learning · Statistics 2021-04-20 Shoaib Bin Masud , Boyang Lyu , Shuchin Aeron

The dynamics of dissipative soft-sphere gases obeys Newton's equation of motion which are commonly solved numerically by (force-based) Molecular Dynamics schemes. With the assumption of instantaneous, pairwise collisions, the simulation can…

Statistical Mechanics · Physics 2015-06-12 Patric Mueller , Thorsten Poeschel

Understanding the microscopic origin of the rheological behavior of soft matter is a long-lasting endeavour. While early efforts concentrated mainly on the relationship between rheology and structure, current research focuses on the role of…

Soft Condensed Matter · Physics 2018-02-13 Stefano Aime , Luca Cipelletti