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Related papers: Topic Model for four-top at the LHC

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We explore beyond Standard Model (bSM) physics signatures in the $l+jets$ channel of $t\overline{t}$ pair production process at the Tevatron and the LHC. We study the effects of bSM physics scenarios on the top quark polarization and on the…

High Energy Physics - Phenomenology · Physics 2015-11-18 Rohini M. Godbole , Gaurav Mendiratta , Saurabh Rindani

Experiments at the CERN Large Hadron Collider (LHC) have accumulated an unprecedented amount of data corresponding to a large variety of quantum states. Although searching for new particles beyond the Standard Model of particle physics…

High Energy Physics - Phenomenology · Physics 2026-04-28 Yulei Zhang , Bai-Hong Zhou , Qi-Bin Liu , Tong Arthur Wu , Shu Li , Tao Han , Shih-Chieh Hsu , Matthew Low

These proceedings highlight a selection of recent results by the ATLAS, CMS and LHCb collaborations. The majority of the featured analyses make use of the large set of $\sqrt{s}=13$ TeV proton-proton collision data collected during the…

High Energy Physics - Experiment · Physics 2018-09-12 Thomas G. McCarthy

Beam search is the go-to method for decoding auto-regressive machine translation models. While it yields consistent improvements in terms of BLEU, it is only concerned with finding outputs with high model likelihood, and is thus agnostic to…

In an effective theory approach, the full minimal set of leading contributions to anomalous charged-current top couplings comprises various new trilinear tbW as well as quartic tbff' interaction vertices, some of which are related to one…

High Energy Physics - Phenomenology · Physics 2014-10-22 Fabian Bach , Thorsten Ohl

Optimizing national scientific investment requires a clear understanding of evolving research trends and the demographic and geographical forces shaping them, particularly in light of commitments to equity, diversity, and inclusion. This…

Artificial Intelligence · Computer Science 2025-10-22 Shirin Tavakoli Kafiabad , Andrea Schiffauerova , Ashkan Ebadi

We investigate signatures of the minimal supersymmetric inverse seesaw model at the large hadron collider (LHC) with three isolated leptons and large missing energy (3\ell + \mET or 2\ell + 1\tau + \mET, with \ell=e,\mu) in the final state.…

High Energy Physics - Phenomenology · Physics 2015-06-03 Subhadeep Mondal , Sanjoy Biswas , Pradipta Ghosh , Sourov Roy

We outline and investigate a set of benchmark simplified models with the aim of providing a minimal simple framework for an interpretation of the existing and forthcoming searches of dark matter particles at the LHC. The simplified models…

High Energy Physics - Phenomenology · Physics 2015-03-18 Philip Harris , Valentin V. Khoze , Michael Spannowsky , Ciaran Williams

New heavy resonances with sizeable couplings to top quarks can be probed through searches for beyond-the-Standard-Model effects in four-top production at the LHC. In this work, we present the first next-to-leading-order QCD predictions for…

High Energy Physics - Phenomenology · Physics 2025-11-19 Luc Darmé , Benjamin Fuks , Hao-Lin Li , Matteo Maltoni , Julien Touchèque

We demonstrate the utility of leptons which fail standard isolation criteria in searches for new physics at the LHC. Such leptons can arise in any event containing a highly boosted particle which decays to both leptons and quarks. We begin…

High Energy Physics - Phenomenology · Physics 2015-05-14 Christopher Brust , Petar Maksimovic , Alice Sady , Prashant Saraswat , Matthew T. Walters , Yongjie Xin

We develop the phenomenology of scenarios in which a dark matter candidate interacts with a top quark through flavour-changing couplings, employing a simplified dark matter model with an s-channel vector-like mediator. We study in detail…

High Energy Physics - Phenomenology · Physics 2016-04-20 Jorgen D'Hondt , Alberto Mariotti , Kentarou Mawatari , Seth Moortgat , Pantelis Tziveloglou , Gerrit Van Onsem

Topic models provide a useful text-mining tool for learning, extracting, and discovering latent structures in large text corpora. Although a plethora of methods have been proposed for topic modeling, lacking in the literature is a formal…

Machine Learning · Statistics 2022-08-12 Yinyin Chen , Shishuang He , Yun Yang , Feng Liang

We apply the matrix element method (MEM) to the search for non-resonant Higgs boson pair ($\textrm{HH}$) production in the channel $\textrm{HH} \to \textrm{b}\bar{\textrm{b}}\textrm{W}\textrm{W}^{*}$ at the LHC and study the separation…

High Energy Physics - Phenomenology · Physics 2022-03-02 Karl Ehatäht , Christian Veelken

We consider the task of learning the parameters of a {\em single} component of a mixture model, for the case when we are given {\em side information} about that component, we call this the "search problem" in mixture models. We would like…

Machine Learning · Statistics 2018-02-27 Avik Ray , Joe Neeman , Sujay Sanghavi , Sanjay Shakkottai

A search for physics beyond the standard model in events with at least three leptons and any number of jets is presented. The data sample corresponds to 35 inverse picobarns of integrated luminosity in pp collisions at sqrt(s) = 7 TeV…

High Energy Physics - Experiment · Physics 2012-08-27 CMS Collaboration

We propose a model-independent and general framework to study the LHC phenomenology of top partners, i.e. Vector-Like quarks including particles with different electro-magnetic charge. We consider Vector-Like quarks embedded in general…

High Energy Physics - Phenomenology · Physics 2015-06-16 M. Buchkremer , G. Cacciapaglia , A. Deandrea , L. Panizzi

We present a semi-supervised fine-tuning framework for foundation models that utilises mutual information decomposition to address the challenges of training for a limited amount of labelled data. Our approach derives two distinct lower…

Machine Learning · Computer Science 2025-05-19 Guillaume Quétant , Pavlo Molchanov , Slava Voloshynovskiy

The CMS collaboration has performed a search for an associated production of Higgs bosons and single top quarks in the $H\to b\bar b$ decay channel. The measurement is challenged by a complex multijet final state and an overwhelming…

High Energy Physics - Experiment · Physics 2019-08-13 Andrey Popov

Latent Dirichlet analysis, or topic modeling, is a flexible latent variable framework for modeling high-dimensional sparse count data. Various learning algorithms have been developed in recent years, including collapsed Gibbs sampling,…

Machine Learning · Computer Science 2012-05-14 Arthur Asuncion , Max Welling , Padhraic Smyth , Yee Whye Teh

The study of leptoquarks and their couplings to fermions with different chiralities provides a powerful tool for distinguishing among different leptoquark models. As a case study, we focus on two specific third-generation scalar leptoquark…

High Energy Physics - Phenomenology · Physics 2025-07-16 Anupam Ghosh , Partha Konar , Tousik Samui , Ritesh K. Singh