中文
相关论文

相关论文: An Optimal Observable for Color Singlet Identifica…

200 篇论文

We describe a strategy for constructing a neural network jet substructure tagger which powerfully discriminates boosted decay signals while remaining largely uncorrelated with the jet mass. This reduces the impact of systematic…

高能物理 - 实验 · 物理学 2017-11-08 Chase Shimmin , Peter Sadowski , Pierre Baldi , Edison Weik , Daniel Whiteson , Edward Goul , Andreas Søgaard

We study the binary discrimination problem of identification of boosted $H\to gg$ decays from massive QCD jets in a systematic expansion in the strong coupling. Though this decay mode of the Higgs is unlikely to be discovered at the LHC, we…

高能物理 - 唯象学 · 物理学 2025-04-23 Andrew J. Larkoski

We introduce a novel anomaly search method based on (i) jet tagging to select interesting events, which are less likely to be produced by background processes; (ii) comparison of the untagged and tagged samples to single out features (such…

高能物理 - 唯象学 · 物理学 2022-03-02 J. A. Aguilar-Saavedra

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…

高能物理 - 唯象学 · 物理学 2019-11-20 Kaustuv Datta , Andrew Larkoski , Benjamin Nachman

A novel deep neural network classifier, a ``Particle transformer'' (PaRT), is introduced for the identification of highly Lorentz-boosted resonances reconstructed as single, multipronged jets in measurements and searches performed by the…

高能物理 - 实验 · 物理学 2026-04-14 CMS Collaboration

The performance of taggers for hadronically decaying top quarks and $W$ bosons in $pp$ collisions at $\sqrt{s}$ = 13 TeV recorded by the ATLAS experiment at the Large Hadron Collider is presented. A set of techniques based on jet shape…

高能物理 - 实验 · 物理学 2019-06-05 ATLAS Collaboration

New particles at the TeV-scale may have sizeable decay rates into boosted Higgs bosons or other heavy scalars. Here, we investigate the possibility of identifying such processes when the Higgs/scalar subsequently decays into a pair of W…

高能物理 - 唯象学 · 物理学 2015-06-04 Minho Son , Christian Spethmann , Brock Tweedie

We present the development and validation of the Higgs Optimized b Identification Tagger (HOBIT), a multivariate b-jet identification algorithm optimized for Higgs boson searches at the CDF experiment at the Fermilab Tevatron. At collider…

高能物理 - 实验 · 物理学 2015-06-05 J. Freeman , T. Junk , M. Kirby , Y. Oksuzian , T. J. Phillips , F. D. Snider , M. Trovato , J. Vizan , W. M. Yao

We study the boosted Higgs tagging using the Lund jet plane. The convolutional neural network is used for the Lund images data set to classify hadronically decaying Higgs from the QCD background. We consider $H\to b \bar{b}$ and $H \to gg$…

高能物理 - 唯象学 · 物理学 2022-01-19 Charanjit K. Khosa

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…

高能物理 - 唯象学 · 物理学 2015-06-03 Tilman Plehn , Michael Spannowsky

A flavor-universal extension of the strong interactions was recently proposed in response to the apparent excess of high-$E_T$ jets in the inclusive jet spectrum measured at the Tevatron. This paper studies the color octet of massive gauge…

高能物理 - 唯象学 · 物理学 2016-08-24 E. H. Simmons

The distribution of particles inside hadronic jets produced in the decay of boosted $W$ and $Z$ bosons can be used to discriminate such jets from the continuum background. Given that a jet has been identified as likely resulting from the…

高能物理 - 实验 · 物理学 2016-06-01 ATLAS Collaboration

The phenomenology of dark sector is complicated if dark sector is charged under a confined hidden gauge group. In such kind of model, a dark parton produced at a high energy collider showers and hadronize to a cluster of dark mesons. Dark…

高能物理 - 唯象学 · 物理学 2020-04-21 Myeonghun Park , Mengchao Zhang

By measuring the substructure of a jet, one can assign it a "quark" or "gluon" tag. In the eikonal (double-logarithmic) limit, quark/gluon discrimination is determined solely by the color factor of the initiating parton (C_F versus C_A). In…

The impact of event colour structure on the performance of the Johns-Hopkins, CMS, HEPToptagger and N-Subjettiness algorithms is investigated by studying colour singlet and colour octet resonances decaying to top-quark pairs. Large…

高能物理 - 唯象学 · 物理学 2015-06-05 Kiran Joshi , Andrew D. Pilkington , Michael Spannowsky

Searches for invisible Higgs decays in weak boson fusion are a well-known laboratory for jets and QCD studies. We present a series of results on tagging jets and central jet activity. First, precision analyses of the central jet activity…

高能物理 - 唯象学 · 物理学 2018-06-27 Anke Biekötter , Fabian Keilbach , Rhea Moutafis , Tilman Plehn , Jennifer M. Thompson

We introduce a new jet shape -- N-subjettiness -- designed to identify boosted hadronically-decaying objects like electroweak bosons and top quarks. Combined with a jet invariant mass cut, N-subjettiness is an effective discriminating…

高能物理 - 唯象学 · 物理学 2015-03-17 Jesse Thaler , Ken Van Tilburg

We introduce a new jet observable {\em zest} defined on exclusively constructed jets and study its potential to discriminate jets originated from Standard Model heavy particles like $W,~Z$ bosons and top quark from gluon initiated jets.…

高能物理 - 唯象学 · 物理学 2021-01-04 Ankita Budhraja , Ambar Jain

Previous phenomenological studies and measurements have shown that weighted angular moments derived from jet constituents encode the colour connections between initiating partons that seed the jets. This paper presents measurements of two…

高能物理 - 实验 · 物理学 2018-10-30 ATLAS Collaboration

This paper describes a study of techniques for identifying Higgs bosons at high transverse momenta decaying into bottom-quark pairs, $H \rightarrow b\bar{b}$, for proton-proton collision data collected by the ATLAS detector at the Large…

高能物理 - 实验 · 物理学 2019-11-18 ATLAS Collaboration