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1

Webber, Bryan. "Parton shower Monte Carlo event generators." Scholarpedia 6, no. 12 (2011): 10662. http://dx.doi.org/10.4249/scholarpedia.10662.

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Kusina, A., O. Gituliar, S. Jadach, and M. Skrzypek. "Evolution Kernels for Parton Shower Monte Carlo." Acta Physica Polonica B 46, no. 7 (2015): 1343. http://dx.doi.org/10.5506/aphyspolb.46.1343.

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Dey, Rajat K., and Animesh Basak. "Behaviour of the lateral shower age of cosmic ray extensive air showers." Journal of Physics: Conference Series 2156, no. 1 (2021): 012174. http://dx.doi.org/10.1088/1742-6596/2156/1/012174.

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Abstract Some simple arguments are introduced for a possible explanation of the behavior of the lateral shower age of proton-initiated showers. The corresponding analytical treatment based on the proposed argument is then illustrated. Using the Monte Carlo simulation (MC) code CORSIKA, we have validated how the different characteristics associated with the lateral shower age predicted in the present analytical parametrization, can be understood. The lateral shower age of a proton-initiated shower and its correlations with the lateral shower ages of electron- and neutral pion-initiated showers
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Lazzarin, Marco, Simone Alioli, and Stefano Carrazza. "MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning." Computer Physics Communications 263 (June 2021): 107908. http://dx.doi.org/10.1016/j.cpc.2021.107908.

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5

Gottschalk, Thomas D. "HARD SCATTERING QCD CORRECTIONS IN MONTE CARLO SHOWER MODELS." International Journal of Modern Physics A 02, no. 04 (1987): 1393–411. http://dx.doi.org/10.1142/s0217751x87000764.

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The problem of incorporating exact 2→3 QCD cross sections into Monte Carlo models for hadron-hadron scattering is examined, and a simple, branching weight formalism which retains all the information of the 2→3 processes is presented. The connection of this prescription with the angle-ordered soft gluon results of Ellis, Marchesini and Webber is explored in detail. Possible unresolved questions for the procedure are also noted.
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6

Sapeta, Sebastian. "Matching NLO with parton shower in Monte Carlo scheme." Nuclear and Particle Physics Proceedings 273-275 (April 2016): 2078–83. http://dx.doi.org/10.1016/j.nuclphysbps.2015.09.336.

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7

Jadach, S., A. Kusina, W. Płaczek, and M. Skrzypek. "NLO Corrections in the Initial-state Parton Shower Monte Carlo." Acta Physica Polonica B 44, no. 11 (2013): 2179. http://dx.doi.org/10.5506/aphyspolb.44.2179.

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RENK, THORSTEN. "YaJEM — A MONTE CARLO CODE FOR IN-MEDIUM SHOWER EVOLUTION." International Journal of Modern Physics E 20, no. 07 (2011): 1594–99. http://dx.doi.org/10.1142/s0218301311019933.

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High transverse momentum (PT) QCD scattering processes are regarded as a valuable tool to study the medium produced in heavy-ion collisions, as due to uncertainty arguments their cross section should be calculable independent of medium properties whereas the medium then modifies only the final state partons emerging from a hard vertex. With the heavy-ion physics program at the CERN LHC imminent, the attention of high PT physics in heavy ion collisions is shifting from the observation of hard single hadrons to fully reconstructed jets. However, the presence of a background medium at low PT comp
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9

HUEGE, T., and H. FALCKE. "MONTE CARLO SIMULATIONS OF RADIO EMISSION FROM COSMIC RAY AIR SHOWERS." International Journal of Modern Physics A 21, supp01 (2006): 60–64. http://dx.doi.org/10.1142/s0217751x06033374.

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As a basis for the interpretation of data gathered by LOPES and other experiments, we have carried out Monte Carlo simulations of geosynchrotron radio emission from cosmic ray air showers. The simulations, having been verified carefully with analytical calculations, reveal a wealth of information on the characteristics of the radio signal and their dependence on specific air shower parameters. In this article, we review the spatial characteristics of the radio emission, its predicted frequency spectrum and its dependence on important air shower parameters such as the shower zenith angle, the p
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10

IVANOV, A. A., M. I. PRAVDIN, and A. V. SABOUROV. "MODELING A RELATION BETWEEN SHOWER AGE AND LATERAL DISTRIBUTION PARAMETERS OF EXTENSIVE AIR SHOWERS OF COSMIC RAYS." International Journal of Modern Physics D 20, no. 09 (2011): 1539–45. http://dx.doi.org/10.1142/s0218271811019463.

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The lateral distribution (LD) of particles in extensive air showers (EAS) of cosmic rays (CRs) broadens as the cascade propagates in the atmosphere. A universal relation between LD parameters and shower age can be used to estimate the age and/or maximum depth, Xmax, basing on EAS measurements with surface arrays. We have simulated this relation using a Monte Carlo method implemented in the CORSIKA code. Our aim is to specify an algorithm applicable in particular to Yakutsk array data analysis.
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11

Jones, S. P. "Higgs Boson Pair Production: Monte Carlo Generator Interface and Parton Shower." Acta Physica Polonica B Proceedings Supplement 11, no. 2 (2018): 295. http://dx.doi.org/10.5506/aphyspolbsupp.11.295.

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12

Dey, R. K., T. Sarkar, and A. Bhadra. "Estimating Air Shower Fluctuations from the Monte Carlo Simulation Code CORSIKA." Procedia Technology 10 (2013): 236–41. http://dx.doi.org/10.1016/j.protcy.2013.12.357.

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13

Miura, Kenichi. "EGS4V: Vectorization of the Monte Carlo cascade shower simulation code EGS4." Computer Physics Communications 45, no. 1-3 (1987): 127–36. http://dx.doi.org/10.1016/0010-4655(87)90147-0.

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14

Béné, S. "Air shower simulation for background estimation in muon tomography of volcanoes." Geoscientific Instrumentation, Methods and Data Systems Discussions 2, no. 2 (2012): 563–74. http://dx.doi.org/10.5194/gid-2-563-2012.

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Abstract. One of the main sources of background for the radiography of volcanoes with atmospheric muons comes from the accidental coincidences produced in the muon telescopes by the air showers. In order to quantify this background, Monte-Carlo simulations of the showers and of the detector are developed by the Tomuvol collaboration. As a first step, the atmospheric showers were simulated and investigated using two Monte-Carlo packages, CORSIKA and GEANT4. We compared the results provided by the two programs for the muonic component of vertical proton-induced showers at three energies: 1, 10 a
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15

Béné, S., P. Boivin, E. Busato, et al. "Air shower simulation for background estimation in muon tomography of volcanoes." Geoscientific Instrumentation, Methods and Data Systems 2, no. 1 (2013): 11–15. http://dx.doi.org/10.5194/gi-2-11-2013.

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Abstract. One of the main sources of background for the radiography of volcanoes using atmospheric muons comes from the accidental coincidences produced in the muon telescopes by charged particles belonging to the air shower generated by the primary cosmic ray. In order to quantify this background effect, Monte Carlo simulations of the showers and of the detector are developed by the TOMUVOL collaboration. As a first step, the atmospheric showers were simulated and investigated using two Monte Carlo packages, CORSIKA and GEANT4. We compared the results provided by the two programs for the muon
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16

Nason, Paolo. "A New Method for Combining NLO QCD with Shower Monte Carlo Algorithms." Journal of High Energy Physics 2004, no. 11 (2004): 040. http://dx.doi.org/10.1088/1126-6708/2004/11/040.

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17

Miura, Kenichi, and Robert G. Babb. "Tradeoffs in granularity and parallelization for a Monte Carlo shower simulation code." Parallel Computing 8, no. 1-3 (1988): 91–100. http://dx.doi.org/10.1016/0167-8191(88)90112-3.

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18

Tuneu, Jordi, Peter Filip, and Eva Santos. "On the mystery of the multi-muon flux at the TeV cosmic-ray energy range." EPJ Web of Conferences 283 (2023): 05008. http://dx.doi.org/10.1051/epjconf/202328305008.

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Current Monte Carlo simulations do not provide a good description of the muon component of extensive air showers. Many air shower experiments report discrepancies between their data and Monte Carlo predictions, ranging from the TeV scale up to the highest energies. In these proceedings, we address the seasonal variation of the multi-muon events observed by the NOvA Near Detector (ND). For our studies, we use the general-purpose Monte Carlo code FLUKA to treat the transport and interaction of the air-shower particles in the atmosphere and other media. Our design considers a multilayered atmosph
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19

Mayer, H. J. "A Monte Carlo study of the reconstruction accuracy of shower parameters for the KASCADE extended air shower array." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 311, no. 1-2 (1992): 327–37. http://dx.doi.org/10.1016/0168-9002(92)90881-4.

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20

Holch, T. L., F. Leuschner, J. Schäfer, and S. Steinmassl. "Assessing aerosol induced errors in Monte Carlo based air-shower reconstruction for atmospheric Cherenkov detectors." Journal of Physics: Conference Series 2398, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1742-6596/2398/1/012017.

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Abstract Aerosol levels influence the wavelength dependent transmission properties of the atmosphere. Variations in aerosol levels therefore affect the amount of Cherenkov light from air-showers that can reach an atmospheric Cherenkov detector. As the amount of detected Cherenkov light is directly related to a primary shower particle’s energy, deviations between actual and assumed atmospheric transmission properties yield errors in reconstructed particle energies as well as energy axes of instrument response functions. In this work, a scheme is presented to assess this influence and potentiall
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21

Ko, Sanghyun, Hwidong Yoo, and Seungkyu Ha. "Reconstruction of 3D Shower Shape with the Dual-Readout Calorimeter." Instruments 6, no. 3 (2022): 39. http://dx.doi.org/10.3390/instruments6030039.

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The dual-readout calorimeter has two channels, Cherenkov and scintillation, that measure the fraction of an electromagnetic (EM) component within a shower by using different responses of each channel to the EM and hadronic component. It can measure the energy of EM and hadronic shower simultaneously—its concept inspired the integrated design for measuring both EM and hadronic showers, which left the task of reconstructing longitudinal shower shapes to the utilization of timing. We explore the possibility of longitudinal shower shape reconstruction using signal processing on silicon photomultip
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22

Fomin, Yu A., N. N. Kalmykov, I. S. Karpikov, et al. "Full Monte-Carlo description of the Moscow State University Extensive Air Shower experiment." Journal of Instrumentation 11, no. 08 (2016): T08005. http://dx.doi.org/10.1088/1748-0221/11/08/t08005.

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23

Vasil’ev, A. N., Yu A. Matulenko, V. V. Mochalov, et al. "Monte Carlo reconstruction of the shower coordinates and shape in the electromagnetic calorimeter." Instruments and Experimental Techniques 49, no. 4 (2006): 468–82. http://dx.doi.org/10.1134/s002044120604004x.

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24

Linn, Stephan L. "A method for fast electromagnetic shower simulation in the Geant Monte Carlo program." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 288, no. 2-3 (1990): 598–602. http://dx.doi.org/10.1016/0168-9002(90)90158-3.

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25

Koten, P., D. Čapek, P. Spurný, R. Štork, V. Vojáček, and J. Bednář. "Search for pairs and groups in the 2006 Geminid meteor shower." Astronomy & Astrophysics 656 (December 2021): A98. http://dx.doi.org/10.1051/0004-6361/202141809.

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Context. The existence of pairs and groups of meteors during meteor showers has been an open question for a long time. The double-station video observation of the 2006 Geminid meteor shower, one of the most active annual showers, is used for the search of such events. Aims. The goal of the paper is to determine whether the observed pairs of Geminid meteors are real events or cases of random coincidence. Methods. The atmospheric trajectories of the observed meteors, photometric masses, and both time and spatial distances of meteoroids in the atmosphere were determined using a double-station vid
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26

Scholten, Olaf, Gia Trinh, Krijn D. de Vries, and Brian Hare. "MGMR3D, a semi-analytic code for the obtaining the radio footprint from the shower currents." EPJ Web of Conferences 216 (2019): 03003. http://dx.doi.org/10.1051/epjconf/201921603003.

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MGMR3D is a code that calculates the complete radio footprint, i.e. intensity, polarization and pulse shapes, for a parametrized shower current density using a semianalytic approach. The non-Monte-Carlo code is fast (typically 10 seconds for a complete footprint) and thus can be used in a chi-square optimization calculation of atmospheric electric fields or to optimize antenna geometry.
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27

Engel, R., N. N. Kalmykov, and A. A. Konstantinov. "SIMULATION OF RADIO SIGNALS FROM 1-10 TeV AIR SHOWERS USING EGSNRC." International Journal of Modern Physics A 21, supp01 (2006): 65–69. http://dx.doi.org/10.1142/s0217751x06033386.

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Cherenkov and geosynchrotron radiation are considered as two fundamental mechanisms of the radio emission generated by extensive air showers (EAS). The code EGSnrc is used for Monte-Carlo simulations of the individual shower development. Calculations of the radial dependence and frequency spectrum of the emitted radiation are performed for the LOPES experiment frequency range.
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28

Rybczyński, Maciej, and Zbigniew Włodarczyk. "Puzzle of muons in extensive air showers." International Journal of Modern Physics D 28, no. 08 (2019): 1950097. http://dx.doi.org/10.1142/s0218271819500974.

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In order to examine a muon excess observed by the Pierre Auger Observatory, detailed Monte Carlo simulations were carried out for primary protons, iron nuclei and strangelets (hypothetical stable lumps of strange quark matter). We obtained a rough agreement between the simulations and the data for ordinary nuclei without any contribution of strangelets in primary flux of cosmic rays. Our simulations suggest that the shower observables are dominated by details of hadronic interaction models.
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29

Pont, Bjarni. "The depth of the shower maximum of air showers measured with AERA." EPJ Web of Conferences 283 (2023): 02010. http://dx.doi.org/10.1051/epjconf/202328302010.

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The Auger Engineering Radio Array (AERA), as part of the Pierre Auger Observatory, is an array of radio antennas probing the nature of ultra-high energy cosmic rays at energies around the transition from Galactic to extra-galactic origin. It measures the MHz radio emission of extensive air showers produced by cosmic rays hitting our atmosphere. The elemental composition of cosmic rays is a crucial piece of information in determining what the sources of cosmic rays are and how cosmic rays are accelerated. This composition can be obtained from the mass-sensitive parameter X max, the depth of the
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30

SECKEL, D. "SCALING OF ASKARYAN PULSES." International Journal of Modern Physics A 21, supp01 (2006): 70–74. http://dx.doi.org/10.1142/s0217751x06033398.

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The theory of the Askaryan process, impulsive RF emission from particle showers, is reviewed. The radiated electric field may be calculated at all angles and frequencies from just two phenomonological functions related to the longitudinal and transverse profiles of the shower. A prescription is given for extracting the relevant profiles from shower Monte Carlo calculations. Results obtained for one shower may be scaled to other energies and environments. A two parameter analytic model for shower profiles is proposed.
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31

Yang, Hong-Jin, Changbom Park, and Myeong-Gu Park. "Analysis of Historical Meteor and Meteor shower Records: Korea, China and Japan." Proceedings of the International Astronomical Union 10, H16 (2012): 150–51. http://dx.doi.org/10.1017/s1743921314005079.

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AbstractWe have compiled and analyzed historical meter and meteor shower records in Korean, Chinese, and Japanese chronicles. We have confirmed the peaks of Perseids and an excess due to the mixture of Orionids, north-Taurids, or Leonids through the Monte-Carlo test from the Korean records. The peaks persist for almost one thousand years. We have also analyzed seasonal variation of sporadic meteors from Korean records. Major features in Chinese meteor shower records are quite consistent with those of Korean records, particularly for the last millennium. Japanese records also show Perseids feat
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32

HUEGE, TIM, and HEINO FALCKE. "SIMULATIONS OF RADIO EMISSION FROM COSMIC RAY AIR SHOWERS." International Journal of Modern Physics A 20, no. 29 (2005): 6831–33. http://dx.doi.org/10.1142/s0217751x05030223.

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Radio emission from cosmic ray air showers has the potential to become an additional, cost-effective observing technique for cosmic ray research, being largely complementary to the well-established particle detector and air fluorescence techniques. We present Monte Carlo simulations of radio emission from extensive air showers in the scheme of coherent geosynchrotron radiation from electron-positron pairs gyrating in the earth's magnetic field. Preliminary results of our simulations are the predicted frequency, primary particle energy, shower zenith angle, shower azimuth angle and polarization
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33

Collins, John C., and Francesco Hautmann. "Soft gluons and gauge-invariant subtractions in NLO parton-shower Monte Carlo event generators." Journal of High Energy Physics 2001, no. 03 (2001): 016. http://dx.doi.org/10.1088/1126-6708/2001/03/016.

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34

Shirasaki, Yuji, and Fumio Kakimoto. "Monte Carlo simulation of air shower development for the study of cosmic ray composition." Astroparticle Physics 15, no. 3 (2001): 241–57. http://dx.doi.org/10.1016/s0927-6505(00)00150-x.

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35

CHEN, CHIH-CHING, PISIN CHEN, CHIA-YU HU, and K. C. LAI. "DISTINGUISHABILITY OF NEUTRINO FLAVORS THROUGH THEIR DIFFERENT SHOWER CHARACTERISTICS." Modern Physics Letters A 28, no. 02 (2013): 1340009. http://dx.doi.org/10.1142/s0217732313400099.

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We propose a new flavor identification method to distinguish mu and tau type ultra high energy cosmic neutrinos (UHECN). Energy loss of leptons in matter is an important information for the detection of neutrinos originated from high energy astrophysical sources. 50 years ago, Askaryan proposed to detect Cherenkov radiowave signals emitted from the negative charge excess of neutrino-induced particle shower. The theory of Cherenkov radiation under Fraunhofer approximation has been widely studied in the past two decades. However, at high energies or for high density materials, electromagnetic sh
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36

Rzepka, M., E. Diedrich, and G. Buschhorn. "Monte Carlo-study of shower formation from high energy electrons and photons in aligned crystals." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 63, no. 3 (1992): 273–82. http://dx.doi.org/10.1016/0168-583x(92)95110-d.

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37

Sun, Bao Guang, and Xiao Feng Wang. "Analysis on High-Energy Physical Problems in Monte Carlo Simulation." Applied Mechanics and Materials 577 (July 2014): 762–66. http://dx.doi.org/10.4028/www.scientific.net/amm.577.762.

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This paper analyzes the data got in two Monte Carlo simulations, namely, extensive air shower simulation and detector simulation. Then, based on the data from experimental arrays, some physical problems have been analyzed and illustrated. Those problems include the distribution of energy spectrum of secondary particles, the distribution of zenith angle, of azimuths, of background noises, and that of strip pattern, as well as the atmospheric absorption.
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38

GERANIOS, A., E. FOKITIS, S. MALTEZOS, et al. "ENERGY ESTIMATION OF ULTRA HIGH ENERGY COSMIC PARTICLES BY LATERAL DISTRIBUTION FUNCTIONS OF EXTENSIVE AIR SHOWERS." International Journal of Modern Physics A 23, no. 29 (2008): 4687–94. http://dx.doi.org/10.1142/s0217751x08041724.

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Energy is among the characteristics of Ultra High Energy Cosmic Rays (E > 5 ×1019 eV ) which could be estimated experimentally based on simulations. This paper attempts to estimate the energy of an UHECR proton by applying a Monte Carlo simulation code. A number of extensive air showers, vertical and inclined, are simulated to derive the lateral distribution functions of the shower particles. The scenario of simulations is adapted to the P. Auger Observatory site.
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39

Spanos, P. D., and B. A. Zeldin. "Monte Carlo Treatment of Random Fields: A Broad Perspective." Applied Mechanics Reviews 51, no. 3 (1998): 219–37. http://dx.doi.org/10.1115/1.3098999.

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A review of a number of methods for random fields simulation in conjunction with Monte Carlo studies of probabilistic mechanics problems is presented from a broad perspective. This article complements some of the previous review articles in that it compares various simulation algorithms, assesses their relative computational efficiency and versatility, discusses the properties of generated field samples, and incorporates some of the recent developments. Collectively, a comprehensive discussion of the covariance decomposition method, the spectral method, the ARMA method, the noise shower method
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40

Pierog, Tanguy. "Hadronic Interactions and Air Showers: Where Do We Stand?" EPJ Web of Conferences 208 (2019): 02002. http://dx.doi.org/10.1051/epjconf/201920802002.

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The interpretation of EAS measurements strongly depends on detailed air shower simulations. CORSIKA is one of the most commonly used air shower Monte Carlo programs. The main source of uncertainty in the prediction of shower observables for different primary particles and energies is currently dominated by differences between hadronic interaction models even after recent updates taking into account the first LHC data. As a matter of fact the model predictions converged but at the same time more precise air shower and LHC measurements introduced new constraints. Last year a new generation of ha
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41

Tang, L. G., and E. V. Hungerford. "A Monte Carlo study of the resolution limits in a lead-streamer tube photon shower counter." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 287, no. 3 (1990): 407–12. http://dx.doi.org/10.1016/0168-9002(90)91554-o.

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42

Zhezher, Yana. "Ultra-high-energy cosmic rays mass composition studies with the Telescope Array Surface Detector data." EPJ Web of Conferences 191 (2018): 08007. http://dx.doi.org/10.1051/epjconf/201819108007.

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The results on ultra-high energy cosmic rays’ chemical composition based on the data from the Telescope Array surface detector are reported. The analysis is based the boosted decision tree (BDT) multivariate analysis built upon 14 observables related to both the properties of the shower front and the lateral distribution function. The multivariate classifier is trained with Monte-Carlo sets: proton-induced, which is considered as background events, and ironinduced, considered as signal events. The classifier results in a single variable ξ for data and Monte-Carlo sets, available for one-dimens
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43

Mogarkar, M. "The Top–Down Reconstruction Algorithm and its Application to Deep Extensive Air Showers." Acta Physica Polonica B Proceedings Supplement 18, no. 5 (2025): 1. https://doi.org/10.5506/aphyspolbsupp.18.5-a24.

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The <span class="sf">Top–Down</span> reconstruction chain is a Monte Carlo simulation scheme that focuses on reconstructing observed extensive air showers while accounting for the muon discrepancy between the observed and simulated events. With the help of this algorithm, we try to reconstruct a particularly unique air shower observed by the Pierre Auger Observatory. The uniqueness of this observation lies in the very large depth of its maximum. We have modified the <span class="sf">Top–Down</span> chain to accommodate this unique event and present the <span class="s
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44

Hugot, François-Xavier, Alexis Jinaphanh, Cédric Jouanne, et al. "Overview of the TRIPOLI-4 Monte Carlo code, version 12." EPJ Nuclear Sciences & Technologies 10 (2024): 17. http://dx.doi.org/10.1051/epjn/2024018.

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In this paper we present an overview of the recent advances of the general-purpose Monte Carlo code TRIPOLI-4®, developed at CEA. The features described in this work, which refer to the current version 12 of the code, encompass applications to radiation shielding (variance-reduction methods: Consistent Adjoint-Driven Importance Sampling, Adaptive Multilevel Splitting, and Weight Windows), material activation calculations (Rigorous Two-Step Scheme), reactor physics (fission matrix, kinetics parameters, critical parameter search, kinetics with delayed neutron precursors), criticality-safety (per
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45

Asto Rojas, O. M., J. C. Arteaga Velázquez, K. S. Caballero Mora, and C. J. Solano Salinas. "Reconstruction of high-energy shower cores in MATHUSLA." Journal of Physics: Conference Series 2678, no. 1 (2023): 012009. http://dx.doi.org/10.1088/1742-6596/2678/1/012009.

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Abstract In this work, we show the results of a comparative analysis of different reconstruction methods of shower cores produced by Cosmic Rays (CR’s) in a layer of Resistive Plate Chambers (RPC’s) that is under consideration for MATHUSLA (Massive Timing Hodoscope for Ultra-Stable neutraL pArticles). The analysis was performed with Monte Carlo simulations. Extensive air showers were simulated with CORSIKA using the GEISHA and QGSJET-II-04 hadronic interaction models for primary protons and iron nuclei in the energy range from 10 TeV to 100 PeV and zenith angles: θ ≤ 20°. The detector response
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46

Meagher, Kevin, and Jakob van Santen. "Parallelizing Air Shower Simulation for Background Characterization in IceCube." EPJ Web of Conferences 295 (2024): 11016. http://dx.doi.org/10.1051/epjconf/202429511016.

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The IceCube Neutrino Observatory is a cubic kilometer neutrino telescope located at the Geographic South Pole. For every observed neutrino event, there are over 106 background events caused by cosmic ray air shower muons. In order to properly separate signal from background, it is necessary to produce Monte Carlo simulations of these air showers. Although to-date, IceCube has produced large quantities of background simulation, these studies still remain statistics limited. The first stage of simulation requires heavy CPU usage while the second stage requires heavy GPU usage. Processing both of
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47

Malyshev, Maxim, Artem Lipatov, and Hannes Jung. "Production of prompt photons associated with jets at LHC in kT-factorization." EPJ Web of Conferences 222 (2019): 03015. http://dx.doi.org/10.1051/epjconf/201922203015.

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We use the kT–factorization approach to calculate total and differential cross sections of associated production of prompt photons and hadronic jets at the LHC energies. Our consideration relies on the pegasus Monte-Carlo generator with implemented ℴ(αα2s) off-shell gluon–gluon fusion subprocess g*g* → γqq− and several subleading quark-initiated contributions from ℴ(ααs) and ℴ(αα2s) subprocesses, taken into account in the collinear limit. Using Monte-Carlo generators CASCADE and PYTHIA, we investigate parton showering effects and compare our predictions with the data, taken by CMS and ATLAS co
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48

Hussein, I. F., A. A. Al-Rubaiee, and A. F. Mkhaiber. "Mean arrival time distributions of extensive air showers at ultrahigh energies." Nuclear Physics and Atomic Energy 25, no. 4 (2024): 341–48. https://doi.org/10.15407/jnpae2024.04.341.

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This paper investigates extensive air showers by estimating the muon and electron mean arrival time distributions at ultrahigh energies for various cosmic-ray particles. The Monte Carlo package AIRES (version 19.04.00) was used to perform simulations at energies of 1019 and 1020 eV. The influence of primary particles (p, 56Fe, and 16O), energies, and zenith angles (0°, 10°, and 20°) on the mean arrival time of muonic and electromagnetic shower disks created in an extensive air shower was examined. Parameterized mean arrival time distributions were calculated for secondary particles e-, e+, and
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49

Boussaha, Bouzid, and Tariq Bitam. "Earth-Skimming Ultrahigh Energy Tau Neutrinos Simulated with Monte Carlo Method and CONEX Code." Advances in High Energy Physics 2021 (November 18, 2021): 1–7. http://dx.doi.org/10.1155/2021/9987060.

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This paper is aimed at studying the feasibility of building an Earth-skimming cosmic tau neutrinos detector, with the aim of eventually identifying the ideal dimensions of a natural site mountain-valley for the detection of very high energy neutrinos tau range from 1 0 16 eV to 1 0 20 eV , as well as possibly locate one such site in Algeria. First, a Monte Carlo simulation of the neutrino-[mountain] matter interaction as well as the resulting decay of the tau lepton is conducted to determine the optimal dimensions of the mountain as well as the location of the tau decay in the valley. Second,
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50

Rohrmoser, Martin. "The TMDICE Monte Carlo shower program and algorithm for jet-fragmentation via coherent medium induced radiations and scattering." Computer Physics Communications 276 (July 2022): 108343. http://dx.doi.org/10.1016/j.cpc.2022.108343.

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