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相关论文: Chasing New Physics in Stacks of Soft Tracks

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A novel combination of established data analysis techniques for reconstructing all charged-particle tracks in high energy collisions is proposed. It uses all information available in a collision event while keeping competing choices open as…

数据分析、统计与概率 · 物理学 2018-07-02 Ferenc Siklér

A compressed spectrum is an anticipated hideout for many beyond standard model scenarios. Such a spectrum naturally arises in the minimal universal extra dimension framework and also in supersymmetric scenarios. Low $p_T$ leptons and jets…

高能物理 - 唯象学 · 物理学 2017-09-13 Sabyasachi Chakraborty , Saurabh Niyogi , K. Sridhar

Experimentally, jet physics studies face an unavoidable task: distinguishing, at the detector level, the particles produced in the hard partonic scattering from the ones created in unrelated soft processes such as pileup interactions in…

高能物理 - 唯象学 · 物理学 2019-12-18 Yacine Mehtar-Tani , Alba Soto-Ontoso , Marta Verweij

Searches for new physics in high-multiplicity events with little or no missing energy are an important component of the LHC program, complementary to analyses that rely on missing energy. We consider the potential reach of searches for…

高能物理 - 唯象学 · 物理学 2015-05-28 Mariangela Lisanti , Philip Schuster , Matthew Strassler , Natalia Toro

Regular variation provides a convenient theoretical framework to study large events. In the multivariate setting, the dependence structure of the positive extremes is characterized by a measure - the spectral measure - defined on the…

机器学习 · 统计学 2021-02-24 Meyer Nicolas , Olivier Wintenberger

We discuss the use of the variable sqrt{shat}_{min}, which has been proposed in order to measure the hard scale of a multi parton final state event using inclusive quantities only, on a SUSY data sample for a 14 TeV LHC. In its original…

高能物理 - 唯象学 · 物理学 2015-05-30 Tania Robens

High-Energy Physics experiments are rapidly escalating in generated data volume, a trend that will intensify with the upcoming High-Luminosity LHC upgrade. This surge in data necessitates critical revisions across the data processing…

Jets plus missing transverse energy is one of the main search channels for new physics at the LHC. A major limitation lies in our understanding of QCD backgrounds. Using jet merging we can describe the number of jets in typical background…

高能物理 - 唯象学 · 物理学 2011-05-25 Christoph Englert , Tilman Plehn , Peter Schichtel , Steffen Schumann

We introduce a new jet substructure technique called "soft drop declustering", which recursively removes soft wide-angle radiation from a jet. The soft drop algorithm depends on two parameters--a soft threshold $z_\text{cut}$ and an angular…

高能物理 - 唯象学 · 物理学 2014-06-03 Andrew J. Larkoski , Simone Marzani , Gregory Soyez , Jesse Thaler

Efficient and accurate particle tracking is crucial for measuring Standard Model parameters and searching for new physics. This task consists of two major computational steps: track finding, the identification of a subset of all hits that…

高能物理 - 实验 · 物理学 2025-09-16 Ryan Miller , Alexander Shmakov , Kyuho Oh , Jiwon Lee , Pierre Baldi , Levi Condren , Makayla Vessella , Daniel Whiteson

Jet reconstruction in heavy-ion collisions is strongly affected by soft background from the underlying event. For an appropriate interpretation of the jet observables it is essential to understand the influence of the background and its…

高能物理 - 实验 · 物理学 2019-08-13 Bastian Bathen

Discrete simulation methods are efficient tools to investigate the complex behaviors of complex fluids made of either dry granular materials or dilute suspensions. By contrast, materials made of soft and/or concentrated units (emulsions,…

流体动力学 · 物理学 2008-12-18 Pierre Rognon , Cyprien Gay

A new framework, called x-scape, for the combined study of both hard and soft transverse momentum sectors in high energy proton-proton ($p$-$p$) and proton-nucleus ($p$-$A$) collisions is set up. A dynamical initial state is set up using…

This work presents a review of the Standard Model sources of backgrounds to the search of supersymmetry signals. Depending on the specific model, typical signals may include jets, leptons, and missing transverse energy due to the escaping…

高能物理 - 唯象学 · 物理学 2009-02-18 Michelangelo L. Mangano

Since a few breakthroughs in the fundamental understanding of the effects of swift heavy ions (SHI) decelerating in the electronic stopping regime in the matter have been achieved in the last decade, it motivated us to review the…

材料科学 · 物理学 2023-03-16 N. Medvedev , A. E. Volkov , R. Rymzhanov , F. Akhmetov , S. Gorbunov , R. Voronkov , P. Babaev

Searches of new physics beyond the Standard Model (SM) performed at low energy frontiers are complementary to experiments carried out at high energy colliders. Among the methods for testing the SM and beyond at low energies are the…

仪器与探测器 · 物理学 2018-10-08 D. Rozpedzik , K. Bodek , K. Lojek , M. Perkowski , L. De Keukeleere , L. Hayen , N. Severijns , A. Kozela

A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC…

仪器与探测器 · 物理学 2014-10-29 CMS Collaboration

In light transport simulation, challenging situations are caused by the variety of materials and the relative length of path segments. Path Tracing can handle many situations and scales well to parallel hardware. However, it is not able to…

图形学 · 计算机科学 2019-09-04 Johannes Jendersie

To investigate the fundamental nature of matter and its interactions, particles are accelerated to very high energies and collided inside detectors, producing a multitude of other particles that are scattered in all directions. As charged…

Existing Visual Object Tracking (VOT) only takes the target area in the first frame as a template. This causes tracking to inevitably fail in fast-changing and crowded scenes, as it cannot account for changes in object appearance between…

计算机视觉与模式识别 · 计算机科学 2023-03-31 Jin-Peng Lan , Zhi-Qi Cheng , Jun-Yan He , Chenyang Li , Bin Luo , Xu Bao , Wangmeng Xiang , Yifeng Geng , Xuansong Xie
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