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Related papers: Tuning Monte Carlo Generators: The Perugia Tunes

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In PYTHIA6 (PYTHIA8) once the transverse momentum $p_T$ of a generated particle is randomly sampled, $p_x$ and $p_y$ are set on the circle with radius of $p_T$ randomly. This may largely suppress the development of the final hadronic state…

Nuclear Theory · Physics 2013-04-17 Yu-Liang Yan , Dai-Mei Zhou , Ayut Limphirat , Bao-Guo Dong , Yu-Peng Yan , Ben-Hao Sa

Measurements of inclusive observables, such as particle multiplicities and momentum spectra, have already delivered important information on soft-inclusive ("minimum-bias") physics at the Large Hadron Collider. In order to gain a more…

High Energy Physics - Phenomenology · Physics 2015-03-18 Kenneth Wraight , Peter Skands

The PYTHIA program is a standard tool for the generation of high-energy collisions, comprising a coherent set of physics models for the evolution from a few-body hard process to a complex multihadronic final state. It contains a library of…

High Energy Physics - Phenomenology · Physics 2010-04-06 Torbjörn Sjöstrand , Stephen Mrenna , Peter Skands

The AcerMC Monte Carlo generator gives a possibility to generate some of the Standard Model background processes which were recognised as very dangerous for the searches at LHC, and generation of which was either unavailable or not…

High Energy Physics - Phenomenology · Physics 2009-11-07 Borut Paul Kersevan , Elzbieta Richter-Was

We study the dynamics of identified hadrons ($\pi^\pm$, $K^\pm$ and $p(\overline{p})$) production in $O+O$ collisions at $\sqrt{s_{\mathrm{NN}}} = 7$TeV using recently updated version of EPOS4, string melting version of A Multi-Phase…

High Energy Physics - Phenomenology · Physics 2025-05-13 Rabia Bashir , Ramoona Shehzadi , M. U. Ashraf , A. M. Khan

When selecting a model to characterize an astrophysical population, it is crucial to assess whether that model fits the data and, if not, how it can be improved. To this end, posterior predictive checks (PPCs) are a widely-used statistical…

General Relativity and Quantum Cosmology · Physics 2026-04-09 Simona J. Miller , Sophia Winney , Katerina Chatziioannou , Patrick M. Meyers

We evaluate the theoretical uncertainties in next-to-leading order plus parton shower predictions for top quark pair production and decay in hadronic collisions. Our work is carried out using the Herwig 7 event generator and presents an…

High Energy Physics - Phenomenology · Physics 2020-01-08 Kyle Cormier , Simon Plätzer , Christian Reuschle , Peter Richardson , Stephen Webster

The ALICE collaboration recently reported the mean transverse momentum as a function of charged-particle multiplicity for different pp-collisions classes defined based on the "jettiness" of the event. The event "jettiness" is quantified…

High Energy Physics - Phenomenology · Physics 2024-01-15 Antonio Ortiz , Lizardo Valencia Palomo , Victor Manuel Minjares Neriz

The decay constant of the $\eta$-meson in the framework of 'resummed' chiral perturbation theory is discussed. A theoretical prediction is compared to the available determinations. Compatibility of these determinations with the latest fits…

High Energy Physics - Phenomenology · Physics 2019-12-20 Marián Kolesár , Jaroslav Říha

Parton And-hadron China Institute of Atomic Energy (PACIAE) is a multipurpose Monte Carlo event generator developed to describe a wide range of high-energy collisions, including lepton-lepton, lepton-hadron, lepton-nucleus, hadron-hadron,…

High Energy Physics - Phenomenology · Physics 2024-11-22 An-Ke Lei , Zhi-Lei She , Yu-Liang Yan , Dai-Mei Zhou , Liang Zheng , Wen-Chao Zhang , Hua Zheng , Larissa V. Bravina , Evgeny E. Zabrodin , Ben-Hao Sa

We analyze how the recent precise hadronic tau-decay data on the V-A spectral function and general properties of QCD such as analyticity, the operator product expansion and chiral perturbation theory (ChPT), can be used to improve the…

High Energy Physics - Phenomenology · Physics 2014-11-20 M. Gonzalez-Alonso , A. Pich , J. Prades

A new method to extract information from the pp data is proposed. The approach is based on the use of the event structure variables: sphericity and spherocity, to split the data into enhanced soft and hard processes samples corresponding to…

High Energy Physics - Phenomenology · Physics 2014-04-10 Eleazar Cuautle , Raul Jimenez , Ivonne Maldonado , Antonio Ortiz , Guy Paic , Edgar Perez

This work presents the results of a revised analysis of the low-energy (pion laboratory kinetic energy T(sub pi) < 100 MeV) pi+ p data using recently obtained electromagnetic corrections. The measurements are analyzed assuming extended…

High Energy Physics - Phenomenology · Physics 2007-10-18 A. Gashi , E. Matsinos , G. C. Oades , G. Rasche , W. S. Woolcock

Dimensionality reduction methods, such as principal component analysis (PCA) and factor analysis, are central to many problems in data science. There are, however, serious and well-understood challenges to finding robust low dimensional…

Machine Learning · Statistics 2024-02-06 C. Li , A. Shkolnik

We update the analysis of the precision electroweak tests in terms of 4 epsilon parameters, $\epsilon_{1,2,3,b}$, to obtain more accurate experimental values of them by taking into account the new LEP data released at the 28th ICHEP (1996,…

High Energy Physics - Phenomenology · Physics 2009-10-30 Gye T. Park , Kang Young Lee

A new release of the Monte Carlo event generator Herwig (version 7.1) is now available. This version introduces a number of improvements, notably: multi-jet merging with the dipole shower at LO and NLO QCD; a new model for soft interactions…

In this work we propose new five textures zeros for the mass matrices in the lepton sector in order to predict values for the neutrino masses. In our approach we go beyond the Standard Model by assuming Dirac masses for the neutrinos,…

High Energy Physics - Phenomenology · Physics 2020-10-28 Richard H. Benavides , Yithsbey Giraldo , Luis Muñoz , William A. Ponce , Eduardo Rojas

Using a low background data sample of $9.7\times10^{5}$ $J\psi\rightarrow\gamma\eta^\prime$, $\eta^\prime\rightarrow\gamma\pi^+\pi^-$ events, which are 2 orders of magnitude larger than those from the previous experiments, recorded with the…

High Energy Physics - Experiment · Physics 2018-06-21 BESIII Collaboration , M. Ablikim , M. N. Achasov , S. Ahmed , X. C. Ai , O. Albayrak , M. Albrecht , D. J. Ambrose , A. Amoroso , F. F. An , Q. An , J. Z. Bai , R. Baldini Ferroli , Y. Ban , D. W. Bennett , J. V. Bennett , N. Berger , M. Bertani , D. Bettoni , J. M. Bian , F. Bianchi , E. Boger , I. Boyko , R. A. Briere , H. Cai , X. Cai , O. Cakir , A. Calcaterra , G. F. Cao , S. A. Cetin , J. Chai , J. F. Chang , G. Chelkov , G. Chen , H. S. Chen , J. C. Chen , M. L. Chen , S. Chen , S. J. Chen , X. Chen , X. R. Chen , Y. B. Chen , H. P. Cheng , X. K. Chu , G. Cibinetto , H. L. Dai , J. P. Dai , A. Dbeyssi , D. Dedovich , Z. Y. Deng , A. Denig , I. Denysenko , M. Destefanis , F. De Mori , Y. Ding , C. Dong , J. Dong , L. Y. Dong , M. Y. Dong , Z. L. Dou , S. X. Du , P. F. Duan , J. Z. Fan , J. Fang , S. S. Fang , X. Fang , Y. Fang , R. Farinelli , L. Fava , O. Fedorov , S. Fegan , F. Feldbauer , G. Felici , C. Q. Feng , E. Fioravanti , M. Fritsch , C. D. Fu , Q. Gao , X. L. Gao , Y. Gao , Z. Gao , I. Garzia , K. Goetzen , L. Gong , W. X. Gong , W. Gradl , M. Greco , M. H. Gu , Y. T. Gu , Y. H. Guan , A. Q. Guo , L. B. Guo , R. P. Guo , Y. Guo , Y. P. Guo , Z. Haddadi , A. Hafner , S. Han , X. Q. Hao , F. A. Harris , K. L. He , F. H. Heinsius , T. Held , Y. K. Heng , T. Holtmann , Z. L. Hou , C. Hu , H. M. Hu , J. F. Hu , T. Hu , Y. Hu , G. S. Huang , J. S. Huang , X. T. Huang , X. Z. Huang , Y. Huang , Z. L. Huang , T. Hussain , Q. Ji , Q. P. Ji , X. B. Ji , X. L. Ji , L. W. Jiang , X. S. Jiang , X. Y. Jiang , J. B. Jiao , Z. Jiao , D. P. Jin , S. Jin , T. Johansson , A. Julin , N. Kalantar-Nayestanaki , X. L. Kang , X. S. Kang , M. Kavatsyuk , B. C. Ke , P. Kiese , R. Kliemt , B. Kloss , O. B. Kolcu , B. Kopf , M. Kornicer , A. Kupsc , W. Kühn , J. S. Lange , M. Lara , P. Larin , H. Leithoff , C. Leng , C. Li , Cheng Li , D. M. Li , F. Li , F. Y. Li , G. Li , H. B. Li , H. J. Li , J. C. Li , Jin Li , K. Li , K. Li , Lei Li , P. R. Li , Q. Y. Li , T. Li , W. D. Li , W. G. Li , X. L. Li , X. N. Li , X. Q. Li , Y. B. Li , Z. B. Li , H. Liang , Y. F. Liang , Y. T. Liang , G. R. Liao , D. X. Lin , B. Liu , B. J. Liu , C. X. Liu , D. Liu , F. H. Liu , Fang Liu , Feng Liu , H. B. Liu , H. H. Liu , H. H. Liu , H. M. Liu , J. Liu , J. B. Liu , J. P. Liu , J. Y. Liu , K. Liu , K. Y. Liu , L. D. Liu , P. L. Liu , Q. Liu , S. B. Liu , X. Liu , Y. B. Liu , Y. Y. Liu , Z. A. Liu , Zhiqing Liu , H. Loehner , Y. F. Long , X. C. Lou , H. J. Lu , J. G. Lu , Y. Lu , Y. P. Lu , C. L. Luo , M. X. Luo , T. Luo , X. L. Luo , X. R. Lyu , F. C. Ma , H. L. Ma , L. L. Ma , M. M. Ma , Q. M. Ma , T. Ma , X. N. Ma , X. Y. Ma , Y. M. Ma , F. E. Maas , M. Maggiora , Q. A. Malik , Y. J. Mao , Z. P. Mao , S. Marcello , J. G. Messchendorp , G. Mezzadri , J. Min , T. J. Min , R. E. Mitchell , X. H. Mo , Y. J. Mo , C. Morales Morales , N. Yu. Muchnoi , H. Muramatsu , P. Musiol , Y. Nefedov , F. Nerling , I. B. Nikolaev , Z. Ning , S. Nisar , S. L. Niu , X. Y. Niu , S. L. Olsen , Q. Ouyang , S. Pacetti , Y. Pan , P. Patteri , M. Pelizaeus , H. P. Peng , K. Peters , J. Pettersson , J. L. Ping , R. G. Ping , R. Poling , V. Prasad , H. R. Qi , M. Qi , S. Qian , C. F. Qiao , L. Q. Qin , N. Qin , X. S. Qin , Z. H. Qin , J. F. Qiu , K. H. Rashid , C. F. Redmer , M. Ripka , G. Rong , Ch. Rosner , X. D. Ruan , A. Sarantsev , M. Savrié , C. Schnier , K. Schoenning , S. Schumann , W. Shan , M. Shao , C. P. Shen , P. X. Shen , X. Y. Shen , H. Y. Sheng , M. Shi , W. M. Song , X. Y. Song , S. Sosio , S. Spataro , G. X. Sun , J. F. Sun , S. S. Sun , X. H. Sun , Y. J. Sun , Y. Z. Sun , Z. J. Sun , Z. T. Sun , C. J. Tang , X. Tang , I. Tapan , E. H. Thorndike , M. Tiemens , I. Uman , G. S. Varner , B. Wang , B. L. Wang , D. Wang , D. Y. Wang , K. Wang , L. L. Wang , L. S. Wang , M. Wang , P. Wang , P. L. Wang , W. Wang , W. P. Wang , X. F. Wang , Y. Wang , Y. D. Wang , Y. F. Wang , Y. Q. Wang , Z. Wang , Z. G. Wang , Z. H. Wang , Z. Y. Wang , Z. Y. Wang , T. Weber , D. H. Wei , P. Weidenkaff , S. P. Wen , U. Wiedner , M. Wolke , L. H. Wu , L. J. Wu , Z. Wu , L. Xia , L. G. Xia , Y. Xia , D. Xiao , H. Xiao , Z. J. Xiao , Y. G. Xie , Q. L. Xiu , G. F. Xu , J. J. Xu , L. Xu , Q. J. Xu , Q. N. Xu , X. P. Xu , L. Yan , W. B. Yan , W. C. Yan , Y. H. Yan , H. J. Yang , H. X. Yang , L. Yang , Y. X. Yang , M. Ye , M. H. Ye , J. H. Yin , Z. Y. You , B. X. Yu , C. X. Yu , J. S. Yu , C. Z. Yuan , W. L. Yuan , Y. Yuan , A. Yuncu , A. A. Zafar , A. Zallo , Y. Zeng , Z. Zeng , B. X. Zhang , B. Y. Zhang , C. Zhang , C. C. Zhang , D. H. Zhang , H. H. Zhang , H. Y. Zhang , J. Zhang , J. J. Zhang , J. L. Zhang , J. Q. Zhang , J. W. Zhang , J. Y. Zhang , J. Z. Zhang , K. Zhang , L. Zhang , S. Q. Zhang , X. Y. Zhang , Y. Zhang , Y. Zhang , Y. H. Zhang , Y. N. Zhang , Y. T. Zhang , Yu Zhang , Z. H. Zhang , Z. P. Zhang , Z. Y. Zhang , G. Zhao , J. W. Zhao , J. Y. Zhao , J. Z. Zhao , Lei Zhao , Ling Zhao , M. G. Zhao , Q. Zhao , Q. W. Zhao , S. J. Zhao , T. C. Zhao , Y. B. Zhao , Z. G. Zhao , A. Zhemchugov , B. Zheng , J. P. Zheng , W. J. Zheng , Y. H. Zheng , B. Zhong , L. Zhou , X. Zhou , X. K. Zhou , X. R. Zhou , X. Y. Zhou , K. Zhu , K. J. Zhu , S. Zhu , S. H. Zhu , X. L. Zhu , Y. C. Zhu , Y. S. Zhu , Z. A. Zhu , J. Zhuang , L. Zotti , B. S. Zou , J. H. Zou

Pseudorapidity, transverse momentum, and multiplicity distributions are measured in the pseudorapidity range $|\eta| <$ 2.4 for charged particles with transverse momenta satisfying $p_\mathrm{T} >$ 0.5 GeV in proton-proton collisions at a…

High Energy Physics - Experiment · Physics 2018-09-05 CMS Collaboration

The invention of transformer-based models such as BERT, GPT, and RoBERTa has enabled researchers and financial companies to finetune these powerful models and use them in different downstream tasks to achieve state-of-the-art performance.…

Computation and Language · Computer Science 2022-11-11 Sudhandar Balakrishnan , Yihao Fang , Xioadan Zhu