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In this paper, we present a machine learning-based data generator framework tailored to aid researchers who utilize simulations to examine various physical systems or processes. High computational costs and the resulting limited data often…

Machine Learning · Computer Science 2023-05-17 Sabber Ahamed , Md Mesbah Uddin

Measurements of the cosmic-ray air-shower fluorescence at extreme energies require precise knowledge of atmospheric conditions. The absolute calibration of the cosmic-ray energy depends on the absorption of fluorescence light between its…

High Energy Physics - Experiment · Physics 2011-05-23 A. Filipcic , M. Horvat , D. Veberic , D. Zavrtanik , M. Zavrtanik

This dataset contains a detailed simulation output that allows the construction and study of different data representations for electromagnetic and hadronic showers in calorimeters. It is published so that optimal data representations can…

High Energy Physics - Experiment · Physics 2025-09-29 Anna Zaborowska , Peter McKeown

Deep learning methods have gained popularity in high energy physics for fast modeling of particle showers in detectors. Detailed simulation frameworks such as the gold standard Geant4 are computationally intensive, and current deep…

Data Analysis, Statistics and Probability · Physics 2022-10-24 Atul Kumar Sinha , Daniele Paliotta , Bálint Máté , Sebastian Pina-Otey , John A. Raine , Tobias Golling , François Fleuret

Event generators are an indispensable tool for the preparation and analysis of particle-physics experiments. In this contribution, physics principles underlying the construction of such computer programs are discussed. Results, within and…

High Energy Physics - Phenomenology · Physics 2008-12-18 A. Schaelicke , T. Gleisberg , S. Hoeche , S. Schumann , J. Winter , F. Krauss , G. Soff

Data-driven emulators are increasingly being used to learn and emulate physics-based simulations, reducing computational expense and run time. Here, we present a structured way to improve the quality of these high-dimensional emulated…

Machine Learning · Computer Science 2025-04-25 Nawid Keshtmand , Elena Fillola , Jeffrey Nicholas Clark , Raul Santos-Rodriguez , Matthew Rigby

The Surface Enhancement of the IceTop air-shower array will include the addition of radio antennas and scintillator panels, co-located with the existing ice-Cherenkov tanks and covering an area of about 1 km$^2$. Together, these will…

High Energy Astrophysical Phenomena · Physics 2022-10-25 R. Abbasi , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , M. Ahrens , J. M. Alameddine , A. A. Alves , N. M. Amin , K. Andeen , T. Anderson , G. Anton , C. Argüelles , Y. Ashida , S. Axani , X. Bai , A. Balagopal V. , S. W. Barwick , B. Bastian , V. Basu , S. Baur , R. Bay , J. J. Beatty , K. -H. Becker , J. Becker Tjus , J. Beise , C. Bellenghi , S. Benda , S. BenZvi , D. Berley , E. Bernardini , D. Z. Besson , G. Binder , D. Bindig , E. Blaufuss , S. Blot , M. Boddenberg , F. Bontempo , J. Y. Book , J. Borowka , S. Böser , O. Botner , J. Böttcher , E. Bourbeau , F. Bradascio , J. Braun , B. Brinson , S. Bron , J. Brostean-Kaiser , R. T. Burley , R. S. Busse , M. A. Campana , E. G. Carnie-Bronca , C. Chen , Z. Chen , D. Chirkin , K. Choi , B. A. Clark , K. Clark , L. Classen , A. Coleman , G. H. Collin , A. Connolly , J. M. Conrad , P. Coppin , P. Correa , D. F. Cowen , R. Cross , C. Dappen , P. Dave , C. De Clercq , J. J. DeLaunay , D. Delgado López , H. Dembinski , K. Deoskar , A. Desai , P. Desiati , K. D. de Vries , G. de Wasseige , M. de With , T. DeYoung , A. Diaz , J. C. Díaz-Vélez , M. Dittmer , H. Dujmovic , M. Dunkman , M. A. DuVernois , T. Ehrhardt , P. Eller , R. Engel , H. Erpenbeck , J. Evans , P. A. Evenson , K. L. Fan , A. R. Fazely , A. Fedynitch , N. Feigl , S. Fiedlschuster , A. T. Fienberg , C. Finley , L. Fischer , D. Fox , A. Franckowiak , E. Friedman , A. Fritz , P. Fürst , T. K. Gaisser , J. Gallagher , E. Ganster , A. Garcia , S. Garrappa , L. Gerhardt , A. Ghadimi , C. Glaser , T. Glauch , T. Glüsenkamp , N. Goehlke , J. G. Gonzalez , S. Goswami , D. Grant , T. Grégoire , S. Griswold , C. Günther , P. Gutjahr , C. Haack , A. Hallgren , R. Halliday , L. Halve , F. Halzen , M. Ha Minh , K. Hanson , J. Hardin , A. A. Harnisch , A. Haungs , D. Hebecker , K. Helbing , F. Henningsen , E. C. Hettinger , S. Hickford , J. Hignight , C. Hill , G. C. Hill , K. D. Hoffman , K. Hoshina , W. Hou , F. Huang , M. Huber , T. Huber , K. Hultqvist , M. Hünnefeld , R. Hussain , K. Hymon , S. In , N. Iovine , A. Ishihara , M. Jansson , G. S. Japaridze , M. Jeong , M. Jin , B. J. P. Jones , D. Kang , W. Kang , X. Kang , A. Kappes , D. Kappesser , L. Kardum , T. Karg , M. Karl , A. Karle , U. Katz , M. Kauer , M. Kellermann , J. L. Kelley , A. Kheirandish , K. Kin , T. Kintscher , J. Kiryluk , S. R. Klein , A. Kochocki , R. Koirala , H. Kolanoski , T. Kontrimas , L. Köpke , C. Kopper , S. Kopper , D. J. Koskinen , P. Koundal , M. Kovacevich , M. Kowalski , T. Kozynets , E. Krupczak , E. Kun , N. Kurahashi , N. Lad , C. Lagunas Gualda , J. L. Lanfranchi , M. J. Larson , F. Lauber , J. P. Lazar , J. W. Lee , K. Leonard , A. Leszczyńska , Y. Li , M. Lincetto , Q. R. Liu , M. Liubarska , E. Lohfink , C. J. Lozano Mariscal , L. Lu , F. Lucarelli , A. Ludwig , W. Luszczak , Y. Lyu , W. Y. Ma , J. Madsen , K. B. M. Mahn , Y. Makino , S. Mancina , I. C. Mariş , I. Martinez-Soler , R. Maruyama , S. McCarthy , T. McElroy , F. McNally , J. V. Mead , K. Meagher , S. Mechbal , A. Medina , M. Meier , S. Meighen-Berger , J. Micallef , D. Mockler , T. Montaruli , R. W. Moore , R. Morse , M. Moulai , T. Mukherjee , R. Naab , R. Nagai , U. Naumann , J. Necker , L. V. Nguyen , H. Niederhausen , M. U. Nisa , S. C. Nowicki , A. Obertacke Pollmann , M. Oehler , B. Oeyen , A. Olivas , E. O'Sullivan , H. Pandya , D. V. Pankova , N. Park , G. K. Parker , E. N. Paudel , L. Paul , C. Pérez de los Heros , L. Peters , J. Peterson , S. Philippen , S. Pieper , A. Pizzuto , M. Plum , Y. Popovych , A. Porcelli , M. Prado Rodriguez , B. Pries , G. T. Przybylski , C. Raab , J. Rack-Helleis , A. Raissi , M. Rameez , K. Rawlins , I. C. Rea , Z. Rechav , A. Rehman , P. Reichherzer , R. Reimann , G. Renzi , E. Resconi , S. Reusch , W. Rhode , M. Richman , B. Riedel , E. J. Roberts , S. Robertson , G. Roellinghoff , M. Rongen , C. Rott , T. Ruhe , D. Ryckbosch , D. Rysewyk Cantu , I. Safa , J. Saffer , D. Salazar-Gallegos , P. Sampathkumar , S. E. Sanchez Herrera , A. Sandrock , M. Santander , S. Sarkar , S. Sarkar , K. Satalecka , M. Schaufel , H. Schieler , S. Schindler , T. Schmidt , A. Schneider , J. Schneider , F. G. Schröder , L. Schumacher , G. Schwefer , S. Sclafani , D. Seckel , S. Seunarine , A. Sharma , S. Shefali , N. Shimizu , M. Silva , B. Skrzypek , B. Smithers , R. Snihur , J. Soedingrekso , D. Soldin , C. Spannfellner , G. M. Spiczak , C. Spiering , J. Stachurska , M. Stamatikos , T. Stanev , R. Stein , J. Stettner , T. Stezelberger , T. Stürwald , T. Stuttard , G. W. Sullivan , I. Taboada , S. Ter-Antonyan , J. Thwaites , S. Tilav , F. Tischbein , K. Tollefson , C. Tönnis , S. Toscano , D. Tosi , A. Trettin , M. Tselengidou , C. F. Tung , A. Turcati , R. Turcotte , C. F. Turley , J. P. Twagirayezu , B. Ty , M. A. Unland Elorrieta , N. Valtonen-Mattila , J. Vandenbroucke , N. van Eijndhoven , D. Vannerom , J. van Santen , J. Veitch-Michaelis , S. Verpoest , C. Walck , W. Wang , T. B. Watson , C. Weaver , P. Weigel , A. Weindl , M. J. Weiss , J. Weldert , C. Wendt , J. Werthebach , M. Weyrauch , N. Whitehorn , C. H. Wiebusch , N. Willey , D. R. Williams , M. Wolf , G. Wrede , J. Wulff , X. W. Xu , J. P. Yanez , E. Yildizci , S. Yoshida , S. Yu , T. Yuan , Z. Zhang , P. Zhelnin

The Pierre Auger Observatory allows the measurement of both longitudinal profiles and lateral particle distributions of high-energy showers. The former trace the overall shower development, mainly of the electromagnetic component close to…

Astrophysics · Physics 2019-08-13 Ralph Engel

CompHEP, as a partonic event generator, and PYTHIA, as a generator of final states of detectable objects, are interfaced. Thus, integrated tool is proposed for simulation of (almost) arbitrary collision processes at the level of detectable…

In air shower experiments information about the initial cosmic ray particle or about the shower development is obtained by exploiting the correlations between the quantities of interest and the directly measurable quantities. It is shown…

Astrophysics · Physics 2007-05-23 Wolfgang Wittek , Harald Kornmayer , The HEGRA Collaboration

When high-energy cosmic rays (gamma's, protons, or heavy nuclei) impinge onto the Earth's atmosphere, they interact at high altitude with the air nuclei as targets. By repeated interaction of the secondaries an `extensive air shower' (EAS)…

Astrophysics · Physics 2007-05-23 D. Heck

Data from multiple experiments suggest that the current interaction models used in Monte Carlo simulations do not correctly reproduce the hadronic interactions in air showers produced by ultra-high-energy cosmic rays (UHECR). We have…

High Energy Astrophysical Phenomena · Physics 2025-05-06 Jan Ebr , Jiří Blažek , Jakub Vícha , Tanguy Pierog , Eva Santos , Petr Trávníček , Nikolas Denner , Ralf Ulrich

In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generation of large point clouds in a short time is required, while…

Data Analysis, Statistics and Probability · Physics 2024-01-03 Moritz Alfons Wilhelm Scham , Dirk Krücker , Kerstin Borras

Eye tracking (ET) is a key enabler for Augmented and Virtual Reality (AR/VR). Prototyping new ET hardware requires assessing the impact of hardware choices on eye tracking performance. This task is compounded by the high cost of obtaining…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Esther Y. H. Lin , Yimin Ding , Jogendra Kundu , Yatong An , Mohamed T. El-Haddad , Alexander Fix

A report on the characteristics of ultra-high energy air showers simulated with the AIRES program is presented. The AIRES system includes a fast simulating program which is an improved version of the well-known MOCCA program. The AIRES…

Astrophysics · Physics 2007-05-23 S. J. Sciutto

The PYTHIA program can be used to generate high-energy-physics `events', i.e. sets of outgoing particles produced in the interactions between two incoming particles. The objective is to provide as accurate as possible a representation of…

High Energy Physics - Phenomenology · Physics 2007-05-23 Torbjörn Sjöstrand , Leif Lönnblad , Stephen Mrenna

Direct imaging of cosmic-ray-induced particle showers during daylight is a long-standing challenge in astroparticle physics. A promising avenue for capturing images of these showers is through the radio emissions generated by their…

Instrumentation and Methods for Astrophysics · Physics 2025-07-29 Maximilian Straub , Torsten Enßlin , Martin Erdmann , Philipp Frank , Mike Zingler

The granularity of calorimeter has been revolutionary boosted for future collider experiments. The calorimeter has been pushed to a stage that the sub structure of showers especially hadronic showers can be recorded to a high precision. New…

Instrumentation and Detectors · Physics 2014-12-11 Manqi Ruan

Scientific foundation models hold great promise for advancing nuclear and particle physics by improving analysis precision and accelerating discovery. Yet, progress in this field is often limited by the lack of openly available large scale…

Data Analysis, Statistics and Probability · Physics 2025-09-09 Shuhang Li , Yi Huang , David Park , Xihaier Luo , Haiwang Yu , Yeonju Go , Christopher Pinkenburg , Yuewei Lin , Shinjae Yoo , Joseph Osborn , Christof Roland , Jin Huang , Yihui Ren

Current perceptive models heavily depend on resource-intensive datasets, prompting the need for innovative solutions. Leveraging recent advances in diffusion models, synthetic data, by constructing image inputs from various annotations,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Yibo Wang , Ruiyuan Gao , Kai Chen , Kaiqiang Zhou , Yingjie Cai , Lanqing Hong , Zhenguo Li , Lihui Jiang , Dit-Yan Yeung , Qiang Xu , Kai Zhang