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

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We present an analysis on the production of two same-sign lepton pairs at the LHC, mediated by bileptons in the $SU(3)_c\times SU(3)_L\times U(1)_X$ theory, the so-called 331 model. Compared to other 331 scenarios, in this model the…

High Energy Physics - Phenomenology · Physics 2018-09-26 Gennaro Corcella , Claudio Coriano , Antonio Costantini , Paul H. Frampton

At the CERN Large Hadron Collider experiment, the non-resonant double Higgs production via vector-boson fusion represents a unique mean to probe the VVHH (V=Z, W$^{\pm}$) Higgs self-coupling at the current center of mass energies. Such a…

High Energy Physics - Experiment · Physics 2023-03-01 Brunella D'Anzi , Nicola De Filippis , Walaa Elmetenawee , Giorgia Miniello

Topic modeling has emerged as a dominant method for exploring large document collections. Recent approaches to topic modeling use large contextualized language models and variational autoencoders. In this paper, we propose a negative…

Computation and Language · Computer Science 2023-03-28 Suman Adhya , Avishek Lahiri , Debarshi Kumar Sanyal , Partha Pratim Das

We review recent theoretical improvements of Monte Carlo event generators for top-quark pair production and decay at the LHC based on the POWHEG method. We present an event generator that implements spin correlations and off-shell effects…

High Energy Physics - Phenomenology · Physics 2018-01-22 Tomáš Ježo

Top partner searches are one of the key aspects of new physics analyses at the LHC. We correct an earlier statement that supersymmetric top searches based on decays to semileptonic tops are not promising. Reconstructing the direction of the…

High Energy Physics - Phenomenology · Physics 2011-06-07 Tilman Plehn , Michael Spannowsky , Michihisa Takeuchi

Recent advances in large language models (LLMs) have significantly impacted the domain of multi-hop question answering (MHQA), where systems are required to aggregate information and infer answers from disparate pieces of text. However, the…

Computation and Language · Computer Science 2024-10-02 Seongmin Lee , Jaewook Shin , Youngjin Ahn , Seokin Seo , Ohjoon Kwon , Kee-Eung Kim

Topic models have achieved significant successes in analyzing large-scale text corpus. In practical applications, we are always confronted with the challenge of model selection, i.e., how to appropriately set the number of topics. Following…

Machine Learning · Statistics 2015-02-18 Dehua Cheng , Xinran He , Yan Liu

We investigate a new sequential recombination algorithm which effectively subtracts background as it reconstructs the jet. We examine the new algorithm's behavior in light of existing algorithms, and we find that in Monte Carlo comparisons,…

High Energy Physics - Phenomenology · Physics 2013-08-15 Jeff Tseng , Hannah Evans

Topic modeling is a popular method used to describe biological count data. With topic models, the user must specify the number of topics $K$. Since there is no definitive way to choose $K$ and since a true value might not exist, we develop…

Applications · Statistics 2022-03-10 Julia Fukuyama , Kris Sankaran , Laura Symul

Topic segmentation is important in understanding scientific documents since it can not only provide better readability but also facilitate downstream tasks such as information retrieval and question answering by creating appropriate…

Computation and Language · Computer Science 2023-01-06 Jeonghwan Lee , Jiyeong Han , Sunghoon Baek , Min Song

This paper is devoted to the Standard Model cross-sections for the production of single top, top quark in pairs, triple-top quarks, and four top-quarks at three different centre of mass-energies e.g., $\sqrt{s}=$7, 10 and 14 TeV at existing…

High Energy Physics - Phenomenology · Physics 2023-06-05 Ijaz Ahmed , Nazima Bi , M. S. Amjad

Multijet events with heavy-flavors are of central importance at the LHC since many relevant processes -- such as $t\bar t$, $hh$, $t\bar t h$ and others -- have a preferred branching ratio for this final state. Current techniques for…

High Energy Physics - Phenomenology · Physics 2025-01-09 Ezequiel Alvarez , Yuling Yao

Topic models have been widely used in discovering latent topics which are shared across documents in text mining. Vector representations, word embeddings and topic embeddings, map words and topics into a low-dimensional and dense real-value…

Computation and Language · Computer Science 2017-02-24 Jarvan Law , Hankz Hankui Zhuo , Junhua He , Erhu Rong

We show how single top production at the LHC can be used to discover (and characterize the couplings of) B' quarks, which are an essential part of many natural models of new physics beyond the Standard Model. We present the B' effective…

High Energy Physics - Phenomenology · Physics 2013-05-30 Joseph Nutter , Reinhard Schwienhorst , Devin G. E. Walker , Jiang-Hao Yu

Vector-like top partner plays a central role in many new physics models which attempt to address the hierarchy problem. The top partner is conventionally assumed to decay to a quark and a SM boson. However, it is also possible that the top…

High Energy Physics - Phenomenology · Physics 2021-06-23 Daohan Wang , Lei Wu , Mengchao Zhang

The Standard Model is a successful theory but lack of a mechanism for neutrino mass generation as well as a solution to the naturalness problem. In the models that are proposed to simultaneously solve the two problems, heavy Majorana…

High Energy Physics - Phenomenology · Physics 2020-10-28 Hang Zhou , Ning Liu

A search is presented for physics beyond the standard model (BSM) in final states with a pair of opposite-sign isolated leptons accompanied by jets and missing transverse energy. The search uses LHC data recorded at a center-of-mass energy…

High Energy Physics - Experiment · Physics 2015-03-20 CMS Collaboration

Boosted top quark tagging is one of the challenging, and at the same time exciting, tasks in high energy physics experiments, in particular in the exploration of new physics signals at the LHC. Several techniques have already been developed…

High Energy Physics - Phenomenology · Physics 2023-08-09 Amit Chakraborty , Amandip De , Rohini M. Godbole , Monoranjan Guchait

A grand canonical Monte Carlo (MC) algorithm is presented for studying the lattice gas model (LGM) of multiple protein sequence alignment, which coherently combines long-range interactions and variable-length insertions. MC simulations are…

Biomolecules · Quantitative Biology 2017-07-13 Akira R. Kinjo

Quantum Monte Carlo methods are powerful tools for studying quantum many-body systems but face difficulties in accessing excited states and in treating sign problems. We present a continuous-time path-integral Monte Carlo method for…

Strongly Correlated Electrons · Physics 2025-12-16 Abhishek Karna , Hansen S. Wu , Shailesh Chandrasekharan , Ribhu K. Kaul