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相关论文: Jet Substructure Templates: Data-driven QCD Backgr…

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Full jet reconstruction in heavy-ion collisions is expected to provide more sensitive measurements of jet quenching in hot QCD matter at RHIC. In this paper we review recent studies of jets utilizing modern jet reconstruction algorithms and…

核实验 · 物理学 2019-08-13 Sevil Salur

As the LHC prepares to start taking data, this review is intended to provide a QCD theorist's understanding and views on jet finding at hadron colliders, including recent developments. My hope is that it will serve both as a primer for the…

高能物理 - 唯象学 · 物理学 2014-11-20 Gavin P. Salam

The search for new physics at high energy accelerators has been at the crossroads with very little hint of signals suggesting otherwise. The challenges at a hadronic machine such as the LHC is compounded by the fact that final states are…

高能物理 - 唯象学 · 物理学 2024-06-12 Aruna Kumar Nayak , Santosh Kumar Rai , Tousik Samui

This chapter deals with approaches for protein three-dimensional structure prediction, starting out from a single input sequence with unknown struc- ture, the 'query' or 'target' sequence. Both template based and template free modelling…

生物大分子 · 定量生物学 2017-12-04 Sanne Abeln , Jaap Heringa , K. Anton Feenstra

We describe a method to measure and subtract the incoherent component of energy flow arising from multiple interactions from jet shape/substructure observables of ultra-massive jets. The amount subtracted is a function of the jet shape…

高能物理 - 唯象学 · 物理学 2013-05-29 Raz Alon , Ehud Duchovni , Gilad Perez , Aliaksandr P. Pranko , Pekka K. Sinervo

We examine the problem of jet reconstruction at heavy-ion colliders using jet-area-based background subtraction tools as provided by FastJet. We use Monte Carlo simulations with and without quenching to study the performance of several jet…

高能物理 - 唯象学 · 物理学 2011-02-11 Matteo Cacciari , Juan Rojo , Gavin P. Salam , Gregory Soyez

Data-driven methods of background estimations are often used to obtain more reliable descriptions of backgrounds. In hadron collider experiments, data-driven techniques are used to estimate backgrounds due to multi-jet events, which are…

高能物理 - 唯象学 · 物理学 2021-07-06 Suyong Choi , Hayoung Oh

We propose a new phenomenological approach to establish QCD factorization of jet cross sections in the heavy-ion environment. Starting from a factorization formalism in proton-proton collisions, we introduce medium modified jet functions to…

高能物理 - 唯象学 · 物理学 2019-07-03 Jian-Wei Qiu , Felix Ringer , Nobuo Sato , Pia Zurita

We introduce a novel approach to jet tagging and classification through the use of techniques inspired by computer vision. Drawing parallels to the problem of facial recognition in images, we define a jet-image using calorimeter towers as…

高能物理 - 唯象学 · 物理学 2015-09-09 Josh Cogan , Michael Kagan , Emanuel Strauss , Ariel Schwartzman

The modification of jet substructure in relativistic heavy-ion collisions is studied using JETSCAPE, a publicly available software package containing a framework for Monte Carlo event generators. Multi-stage jet evolution in JETSCAPE…

Observables which discriminate boosted topologies from massive QCD jets are of great importance for the success of the jet substructure program at the Large Hadron Collider. Such observables, while both widely and successfully used, have…

高能物理 - 唯象学 · 物理学 2016-05-19 Andrew J. Larkoski , Ian Moult , Duff Neill

A new approach to jet-shape identification based on linear regression is discussed. It is designed for searches for new particles at the TeV scale decaying hadronically with strongly collimated jets. We illustrate the method using a Monte…

高能物理 - 唯象学 · 物理学 2010-12-23 S. Chekanov , C. Levy , J. Proudfoot , R. Yoshida

Jet grooming algorithms are widely used in experimental analyses at hadron colliders to remove contaminating radiation from within jets. While the algorithms perform a great service to the experiments, their intricate algorithmic structure…

高能物理 - 唯象学 · 物理学 2016-08-24 Christopher Frye , Andrew J. Larkoski , Matthew D. Schwartz , Kai Yan

We introduce a novel jet substructure method which exploits the variation of observables with respect to a sampling of phase-space boundaries quantified by the variability. We apply this technique to identify boosted W boson and top quark…

高能物理 - 唯象学 · 物理学 2020-07-01 Yang-Ting Chien , Alex Emerman , Shih-Chieh Hsu , Samuel Meehan , Zachery Montague

Latent representations are an important theme in modern machine learning. Any network training with the notion of locality introduces a latent geometry which we can analyze with the help of differential geometry, specifically information…

高能物理 - 唯象学 · 物理学 2026-05-07 Rebecca Maria Kuntz , Tilman Plehn , Björn Malte Schäfer , Benedikt Schosser , Sophia Vent

Vector-like quarks are featured by a wealth of beyond the Standard Model theories and are consequently an important goal of many LHC searches for new physics. Those searches, as well as most related phenomenological studies, however rely on…

高能物理 - 唯象学 · 物理学 2017-03-07 Benjamin Fuks , Hua-Sheng Shao

We present an alternative approach to identifying and characterizing jet substructure. An angular correlation function is introduced that can be used to extract angular and mass scales within a jet without reference to a clustering…

高能物理 - 唯象学 · 物理学 2011-07-01 Martin Jankowiak , Andrew J. Larkoski

The substructure of jets produced in an exclusive and a charm-induced dijet sample in photoproduction and in charged and neutral current interactions has been studied with the ZEUS detector at HERA. Jets were identified using the…

高能物理 - 实验 · 物理学 2017-08-23 Monica Vazquez

Unfolding, for example of distortions imparted by detectors, provides suitable and publishable representations of LHC data. Many methods for unbinned and high-dimensional unfolding using machine learning have been proposed, but no…

The precise reconstruction of jet transverse momenta in heavy-ion collisions is a challenging task. A major obstacle is the large number of (mainly) low-$p_{\rm T}$ particles overlaying the jets. Strong region-to-region fluctuations of this…

核实验 · 物理学 2019-06-26 Rüdiger Haake , Constantin Loizides