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Related papers: On Statistical Aspects of Qjets

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The measurement process for hidden-configuration formulations of quantum mechanics is analysed. It is shown how a satisfactory description of quantum measurement can be given in this framework. The unified treatment of hidden-configuration…

Quantum Physics · Physics 2009-10-30 Giulio Peruzzi , Alberto Rimini

A jet algorithm must specify how to (re-)combine different partons or towers into a single four-vector. Various recombination schemes have been used experimentally to examine the transverse energy profile of jets in hadron colliders.…

High Energy Physics - Phenomenology · Physics 2008-11-26 E. W. N. Glover , David A. Kosower

Explainability is needed to establish confidence in machine learning results. Some explainable methods take a post hoc approach to explain the weights of machine learning models, others highlight areas of the input contributing to…

Machine Learning · Computer Science 2024-07-15 Paul Whitten , Francis Wolff , Chris Papachristou

We introduce a search technique that is sensitive to a broad class of signals with large final state multiplicities. Events are clustered into large radius jets and jet substructure techniques are used to count the number of subjets within…

High Energy Physics - Phenomenology · Physics 2013-09-03 Sonia El Hedri , Anson Hook , Martin Jankowiak , Jay G. Wacker

Recent measurements performed by the ATLAS and CMS collaborations on the Run 2 dataset are testing QCD with unprecedented precision. The wealth of data, an ever-improving experimental understanding of jets and photons, and novel…

High Energy Physics - Experiment · Physics 2021-05-31 Henning Kirschenmann

A quantitative description of the qualitative feature of multi-hadron final states known as the "number of jets" is given by a sequence of infrared finite shape observables (jet discriminators) that: take continuous values between 0 and 1;…

High Energy Physics - Phenomenology · Physics 2009-10-31 Fyodor V. Tkachov

Distinguishing quark-initiated jets from gluon-initiated jets has the potential to significantly improve the reach of many beyond-the-standard model searches at the Large Hadron Collider and to provide additional tests of QCD. To explore…

High Energy Physics - Phenomenology · Physics 2015-06-12 Jason Gallicchio , Matthew D. Schwartz

We present a systematic study of dijet suppression at RHIC using the VNI/BMS parton cascade code. We examine the medium modification of the dijet asymmetry $A_j$ and the energy distribution within the dijets. Understanding the sensitivity…

High Energy Physics - Phenomenology · Physics 2012-10-15 C. E. Coleman-Smith , B. Muller

Machine-learning assisted jet substructure tagging techniques have the potential to significantly improve searches for new particles and Standard Model measurements in hadronic final states. Techniques with simple analytic forms are…

High Energy Physics - Phenomenology · Physics 2019-11-20 Kaustuv Datta , Andrew Larkoski , Benjamin Nachman

Bouncing jets are fascinating phenomenons occurring under certain conditions when a jet impinges on a free surface. This effect is observed when the fluid is Newtonian and the jet falls in a bath undergoing a solid motion. It occurs also…

Numerical Analysis · Mathematics 2015-09-01 Andrea Bonito , Jean-Luc Guermond , Sanghyun Lee

Progress in the theoretical understanding of parton branching dynamics within an expanding Quark Gluon Plasma relies on detailed and fair comparisons with experimental data for reconstructed jets. Such comparisons are only meaningful when…

High Energy Physics - Phenomenology · Physics 2025-11-03 João Arruda Gonçalves , José Guilherme Milhano

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…

High Energy Physics - Phenomenology · Physics 2011-07-01 Martin Jankowiak , Andrew J. Larkoski

A new implementation of an adiabatically-trained ensemble model is derived that shows significant improvements over classical methods. In particular, empirical results of this new algorithm show that it offers not just higher performance,…

Machine Learning · Computer Science 2022-10-17 Salvatore Certo , Andrew Vlasic , Daniel Beaulieu

We study quantum steering experiments without assuming that the trusted party can perfectly control their measurement device. Instead, we introduce a scenario in which these measurements are subject to small imprecision. We show that small…

Quantum Physics · Physics 2024-02-19 Armin Tavakoli

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…

High Energy Physics - Phenomenology · Physics 2013-05-29 Raz Alon , Ehud Duchovni , Gilad Perez , Aliaksandr P. Pranko , Pekka K. Sinervo

In these proceedings, we briefly review how jets can be reconstructed in heavy-ion collisions. The main point we address is the subtraction of the large contamination from the underlying event background. We first present the main…

High Energy Physics - Phenomenology · Physics 2015-03-17 Gregory Soyez

These proceedings review the application of Bayesian inference to high momentum transfer probes of the quark--gluon plasma (QGP). Bayesian inference techniques are introduced, highlighting critical components to consider when comparing…

High Energy Physics - Phenomenology · Physics 2025-07-31 Raymond Ehlers

Top tagging is a recent approach to identifying boosted hadronic top quarks. It avoids reconstructing individual top decay products and instead uses a jet algorithm to reconstruct the entire top decay. Quite generally, geometrically large…

High Energy Physics - Phenomenology · Physics 2015-06-03 Tilman Plehn , Michael Spannowsky

Numerical inversion is a general detector calibration technique that is independent of the underlying spectrum. This procedure is formalized and important statistical properties are presented, using high energy jets at the Large Hadron…

Data Analysis, Statistics and Probability · Physics 2017-04-18 Aviv Cukierman , Benjamin Nachman

Aircraft performance models play a key role in airline operations, especially in planning a fuel-efficient flight. In practice, manufacturers provide guidelines which are slightly modified throughout the aircraft life cycle via the tuning…

Applications · Statistics 2021-02-05 Florent Dewez , Benjamin Guedj , Vincent Vandewalle
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