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We discuss the experimental results on the behavior of the average multiplicities and angular distributions of slow particles emitted in hadron-nuclear and nuclear-nuclear interactions at relativistic energies as a function of the…

This paper presents a new set of multijet event shape variables introduced to further understand the Mueller-Navelet jet topology. This topology consists of having at least one pair of jets with a very large rapidity separation between…

High Energy Physics - Phenomenology · Physics 2024-06-18 C. Baldenegro , G. Chachamis , M. Kampshoff , M. Klasen , G. J. Milhano , C. Royon , A. Sabio Vera

We study the regularities in the multiparticle production data obtained from different types of collisions indicating the universality of the hadroproduction process. The similarities of such bulk variables like the charged particle mean…

High Energy Physics - Phenomenology · Physics 2016-09-06 Edward K. G. Sarkisyan , Alexander S. Sakharov

The appearance of the strongly interacting matter mixed phase (MP)has been suggested to consider to understand qualitatively the regime change existence in the behavior of some centrality depending characteristics of events. The MP has been…

High Energy Physics - Experiment · Physics 2007-05-23 O. B. Abdinov , A. Kravcakova , A. A. Kuznetsov , M. K. Suleymanov , A. S. Vodopianov , S. Vokal

Many materials, processes, and structures in science and engineering have important features at multiple scales of time and/or space; examples include biological tissues, active matter, oceans, networks, and images. Explicitly extracting,…

Fluid Dynamics · Physics 2021-01-12 Daniel Floryan , Michael D. Graham

This paper reports a search for spatial clustering of the arrival directions of high energy muon neutrinos detected by the ANTARES neutrino telescope. An improved two-point correlation method is used to study the autocorrelation of 3058…

High Energy Astrophysical Phenomena · Physics 2014-05-08 S. Adrián-Martínez , A. Albert , M. André , G. Anton , M. Ardid , J. -J. Aubert , B. Baret , J. Barrios-Martí , S. Basa , V. Bertin , S. Biagi , C. Bogazzi , R. Bormuth , M. Bou-Cabo , M. C. Bouwhuis , R. Bruijn , J. Brunner , J. Busto , A. Capone , L. Caramete , J. Carr , S. Cecchini , T. Chiarusi , M. Circella , R. Coniglione , L. Core , H. Costantini , P. Coyle , A. Creusot , C. Curtil , G. De Rosa , I. Dekeyser , A. Deschamps , G. De Bonis , C. Donzaud , D. Dornic , Q. Dorosti , D. Drouhin , A. Dumas , T. Eberl , D. Elsässer , A. Enzenhöfer , S. Escoffier , K. Fehn , I. Felis , P. Fermani , F. Folger , L. A. Fusco , S. Galatà , P. Gay , S. Geißelsöder , K. Geyer , V. Giordano , A. Gleixner , J. P. Gómez-González , K. Graf , G. Guillard , H. van Haren , A. J. Heijboer , Y. Hello , J. J. Hernández-Rey , B. Herold , A. Herrero , J. Hößl , J. Hofestädt , C. Hugon , C. W James , M. de Jong , M. Kadler , O. Kalekin , U. Katz , D. Kießling , P. Kooijman , A. Kouchner , I. Kreykenbohm , V. Kulikovskiy , R. Lahmann , E. Lambard , G. Lambard , D. Lattuada , D. Lefèvre , E. Leonora , H. Loehner , S. Loucatos , S. Mangano , M. Marcelin , A. Margiotta , J. A. Martínez-Mora , S. Martini , A. Mathieu , T. Michael , P. Migliozzi , C. Mueller , M. Neff , E. Nezri , D. Palioselitis , G. E. Pavalas , C. Perrina , P. Piattelli , V. Popa , T. Pradier , C. Racca , G. Riccobene , R. Richter , K. Roensch , A. Rostovtsev , M. Saldaña , D. F. E. Samtleben , A. Sánchez-Losa , M. Sanguineti , J. Schmid , J. Schnabel , S. Schulte , F. Schüssler , T. Seitz , C. Sieger , A. Spies , M. Spurio , J. J. M. Steijger , Th. Stolarczyk , M. Taiuti , C. Tamburini , Y. Tayalati , A. Trovato , B. Vallage , C. Vallée , V. Van Elewyck , E. Visser , D. Vivolo , S. Wagner , J. Wilms , E. de Wolf , K. Yatkin , H. Yepes , J. D. Zornoza , J. Zúñiga

Emergency response applications for nuclear or radiological events can be significantly improved via deep feature learning due to the hidden complexity of the data and models involved. In this paper we present a novel methodology for rapid…

Machine Learning · Computer Science 2018-04-02 I. A. Klampanos , A. Davvetas , S. Andronopoulos , C. Pappas , A. Ikonomopoulos , V. Karkaletsis

Multiplicity distributions of charged particles and their event-by-event fluctuations have been compiled for relativistic heavy-ion collisions from the available experimental data at Brookhaven National Laboratory and CERN and also by the…

Nuclear Experiment · Physics 2016-06-20 Maitreyee Mukherjee , Sumit Basu , Subikash Choudhury , Tapan K. Nayak

Jet clustering algorithms are widely used to analyse hadronic events in high energy collisions. Recently a new clustering method, known as `Cambridge', has been introduced. In this article we present an algorithm to determine the transition…

High Energy Physics - Phenomenology · Physics 2011-09-13 Stan Bentvelsen , Irmtraud Meyer

Abrupt and rapid high-amplitude changes in a dynamical system's states known as extreme event appear in many processes occurring in nature, such as drastic climate patterns, rogue waves, or avalanches. These events often entail catastrophic…

Fluid Dynamics · Physics 2023-06-29 Urszula Golyska , Nguyen Anh Khoa Doan

The complex events observed at the NOvA long-baseline neutrino oscillation experiment contain vital information for understanding the most elusive particles in the standard model. The NOvA detectors observe interactions of neutrinos from…

Machine Learning · Computer Science 2023-03-14 Alexander Shmakov , Alejandro Yankelevich , Jianming Bian , Pierre Baldi

Extreme events such as earthquakes, floods, and power blackouts often display burst phenomena where multiple extreme events occur in quick succession or in bunches. This study examines bunching of extreme events on a complex network using a…

Physics and Society · Physics 2025-09-24 Sarvesh K. Upadhyay , Vimal Kishore , Sanjay Kumar , R. E. Amritkar

A method to study event--by--event fluctuations of the `chemical' (particle type) composition of the final state of high energy collisions is proposed.}

Nuclear Theory · Physics 2011-09-13 Marek Gazdzicki

Based on the competition between members of a hierarchy of length scales in complex multi-scale systems, it is shown how clustering of active quantities into concentrated sets, like bubbles in a Swiss cheese, is a generic property that…

Fluid Dynamics · Physics 2009-11-11 J. D. Gibbon , E. S. Titi

The study of standard QCD jets produced along with fat jets, which may appear as a result of the decay of a heavy particle, has become an essential part of collider studies. Current jet clustering algorithms, which use a fixed radius…

High Energy Physics - Phenomenology · Physics 2023-04-26 Biswarup Mukhopadhyaya , Tousik Samui , Ritesh K. Singh

Semi-classical molecular dynamics simulations of small rare gas clusters in short laser pulses of 100 nm wavelength were performed. For comparison, the cluster response to 800 nm laser pulses was investigated as well. The inner ionization…

Atomic and Molecular Clusters · Physics 2009-11-10 D. Bauer

Event classifiers are the most fundamental observables to probe the event topology of hadronic and nuclear collisions at relativistic energies. Over the last five decades, significant progress has been made to establish suitable event…

High Energy Physics - Phenomenology · Physics 2026-04-21 Suraj Prasad , Sushanta Tripathy , Bhagyarathi Sahoo , Raghunath Sahoo

Nuclear multifragmentation is an important phenomenon, the study of which can throw light on reaction mechanism in heavy ion collisions at intermediate and high energies. Based on statistical and dynamical model studies, this thesis is…

Nuclear Theory · Physics 2020-09-02 S. Mallik

Qualitative features of multiparticle correlations in light-heavy ion ($p+A$) collisions at RHIC and LHC are reproduced in a simple initial state model of partons in the projectile coherently scattering off localized domains of color charge…

High Energy Physics - Phenomenology · Physics 2018-01-31 Kevin Dusling , Mark Mace , Raju Venugopalan

The structure of nanoclusters is complex to describe due to their noncrystallinity, even though bonding and packing constraints limit the local atomic arrangements to only a few types. A computational scheme is presented to extract…

Materials Science · Physics 2009-11-13 Zhu Yang , Lei-Han Tang
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