Academic literature on the topic 'Shower Monte Carlo'
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Journal articles on the topic "Shower Monte Carlo"
Webber, Bryan. "Parton shower Monte Carlo event generators." Scholarpedia 6, no. 12 (2011): 10662. http://dx.doi.org/10.4249/scholarpedia.10662.
Full textKusina, 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.
Full textLazzarin, 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.
Full textGottschalk, Thomas D. "HARD SCATTERING QCD CORRECTIONS IN MONTE CARLO SHOWER MODELS." International Journal of Modern Physics A 02, no. 04 (August 1987): 1393–411. http://dx.doi.org/10.1142/s0217751x87000764.
Full textSapeta, 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.
Full textDey, 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 (December 1, 2021): 012174. http://dx.doi.org/10.1088/1742-6596/2156/1/012174.
Full textJadach, 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.
Full textRENK, THORSTEN. "YaJEM — A MONTE CARLO CODE FOR IN-MEDIUM SHOWER EVOLUTION." International Journal of Modern Physics E 20, no. 07 (July 2011): 1594–99. http://dx.doi.org/10.1142/s0218301311019933.
Full textHUEGE, T., and H. FALCKE. "MONTE CARLO SIMULATIONS OF RADIO EMISSION FROM COSMIC RAY AIR SHOWERS." International Journal of Modern Physics A 21, supp01 (July 2006): 60–64. http://dx.doi.org/10.1142/s0217751x06033374.
Full textJones, 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.
Full textDissertations / Theses on the topic "Shower Monte Carlo"
Nail, Graeme. "Quantum chromodynamics : simulation in Monte Carlo event generators." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/quantum-chromodynamics-simulation-in-monte-carlo-event-generators(46dc6f2e-1552-4dfa-b435-9608932a3261).html.
Full textFERRARIO, RAVASIO SILVIA. "Top-mass observables: all-orders behaviour, renormalons and NLO + Parton Shower effects." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241087.
Full textIn this thesis we focus on the theoretical subtleties of the top-quark mass ($m_t$) determination, issue which persists in being highly controversial. Typically, in order to infer the top mass, theoretical predictions dependent on $m_t$ are employed. The parameter $m_t$ is the physical mass, that is connected with the bare mass though a renormalization procedure. Several renormalization schemes are possible and the most natural seems to be the pole-mass one. However, the pole mass is not very well defined for a coloured object like the top quark. The pole mass is indeed affected by the presence of infrared renormalons. They manifest as factorially growing coefficients that spoil the convergence of the perturbative series, leading to ambiguities of order of $\Lambda_{\rm QCD}$. On the other hand, short-distance mass schemes, like the $\overline{\rm MS}$, are known to be free from such renormalons. Luckily, the renormalon ambiguity seems to be safely below the quoted systematic errors on the pole-mass determinations, so these measurements are still valuable. In the first part of the thesis, we investigate the presence of linear renormalons in observables that can be employed to determine the top mass. We considered a simplified toy model to describe $W^* \to t \bar{b} \to Wb \bar{b}$. The computation is carried out in the limit of a large number of flavours ($n_f$), using a new method that allows to easily evaluate any infrared safe observable at order $\alpha_s(\alpha_s n_f)^n$ for any $n$. The observables we consider are, in general, affected by two sources of renormalons: the pole-mass definition and the jet requirements. We compare and discuss the predictions obtained in the usual pole scheme with those computed in the $\overline{\rm MS}$ one. We find that the total cross section without cuts, when expressed in terms of the $\overline{\rm MS}$ mass, does not exhibit linear renormalons, but, as soon as selection cuts are introduced, jets-related linear renormalons arise in any mass scheme. In addition, we show that the reconstructed mass is affected by linear renormalons in any scheme. The average energy of the $W$ boson (that we consider as a simplified example of leptonic observable) has a renormalon in the narrow-width limit in any mass scheme, that is however screened at large orders for finite top widths, provided the top mass is in the $\overline{\rm MS}$ scheme. The most precise determinations of the top mass are the direct ones, i.e. those that rely upon the reconstruction of the kinematics of the top-decay products. Direct determinations are heavily based on the use of Monte Carlo event generators. The generators employed must be as much accurate as possible, in order not to introduce biases in the measurements. To this purpose, the second part of the thesis is devoted to the comparison of several NLO generators, implemented in the {\tt POWHEG BOX} framework, that differ by the level of accuracy employed to describe the top decay. The impact of the shower Monte Carlo programs, used to complete the NLO events generated by {\tt POWHEG BOX}, is also studied. In particular, we discuss the two most widely used shower Monte Carlo programs, i.e. {\tt Pythia 8.2} and \{\tt Herwig 7.1}, and we present a method to interface them with processes that contain decayed emitting resonances. The comparison of several Monte Carlo programs that have formally the same level of accuracy is, indeed, a mandatory step towards a sound estimate of the uncertainty associated with $m_t$.
Idrissi, Ibnsalih Walid. "Selection of showering events and background suppression in ANTARES: comparison between the effects using two different Monte Carlo version." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18132/.
Full textHakmana, Witharana Sampath S. "Development of Cosmic Ray Simulation Program -- Earth Cosmic Ray Shower (ECRS)." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/phy_astr_diss/12.
Full textRE, EMANUELE. "Next - to - leading order qcd corrections to shower Monte Carlo event generators: single vector- boson and single- top hadroproduction." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2009. http://hdl.handle.net/10281/7455.
Full textALIOLI, SIMONE. "Matching next-to-leading-order QCD calculations with shower Monte Carlo Simulations: single vector boson and higgs boson productions in powheg." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2009. http://hdl.handle.net/10281/7381.
Full textZager, Eric Louis. "The impact of TeV nucleus-nucleus simulations on JACEE results /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/9757.
Full textBrunet, Florian. "Reconstruction et analyse des gerbes électromagnétiques dans l'expérience OPERA et étude des oscillations neutrino avec détection d'électrons." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00947334.
Full textChampion, Theresa Janet. "Quality assurance of CsI(TI) crystals for the Bâ†aBâ†aâ†r electromagnetic calorimeter, and a Monte Carlo study of the CP-violating channel B'0#â†>##pi#'+#pi#'-#pi#'0 for the Bâ†aBâ†aâ†r." Thesis, Brunel University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311547.
Full textNorén, Magnus. "Measuring the vertical muon intensity with the ALTO prototype at Linnaeus University." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-107133.
Full textBooks on the topic "Shower Monte Carlo"
Radio, les auditeurs en représentation: Les coulisses de Bourdin and Co et du Téléphone sonne. [Latresne]: Éd. le Bord de l'eau, 2009.
Find full textWigmans, Richard. The Physics of Shower Development. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786351.003.0002.
Full textRaydugin, Yuri G. Modern Risk Quantification in Complex Projects. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844334.001.0001.
Full textBoudreau, Joseph F., and Eric S. Swanson. Classical spin systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0020.
Full textMartin, Andrew D. Bayesian Analysis. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0021.
Full textCoolen, A. C. C., A. Annibale, and E. S. Roberts. Graphs with hard constraints: further applications and extensions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0007.
Full textLopes, Hedibert, and Nicholas Polson. Analysis of economic data with multiscale spatio-temporal models. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.12.
Full textWright, A. G. Timing with PMTs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0008.
Full textCheng, Russell. Finite Mixture Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0017.
Full textCheng, Russell. Finite Mixture Examples; MAPIS Details. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0018.
Full textBook chapters on the topic "Shower Monte Carlo"
Peneliau, Y. "Electron Photon Shower Simulation in TRIPOLI-4 Monte Carlo Code." In Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications, 129–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2_22.
Full textQuicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Monte Carlo tests and randomization." In Practical R for biologists: an introduction, 187–93. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0016.
Full textQuicke, Donald, Buntika A. Butcher, and Rachel Kruft Welton. "Monte Carlo tests and randomization." In Practical R for biologists: an introduction, 187–93. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245349.0187.
Full textAliverti, Emanuele, Daniele Durante, and Bruno Scarpa. "Projecting Proportionate Age–Specific Fertility Rates via Bayesian Skewed Processes." In Developments in Demographic Forecasting, 89–103. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42472-5_5.
Full textBudde, Carlos E., and Arnd Hartmanns. "Replicating $$\textsc {Restart}$$ with Prolonged Retrials: An Experimental Report." In Tools and Algorithms for the Construction and Analysis of Systems, 373–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_21.
Full textAkkar, S. "Earthquake Physical Risk/Loss Assessment Models and Applications: A Case Study on Content Loss Modeling Conditioned on Building Damage." In Springer Tracts in Civil Engineering, 223–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68813-4_10.
Full textLi, Jianbin, Junguang Huang, Huawei Tong, and Shankai Zhang. "Study on Surface Deformation Model Induced by Shield Tunneling Based on Random Field Theory." In Lecture Notes in Civil Engineering, 440–54. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1260-3_40.
Full textZhang, Zhenya, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, and Jianjun Zhao. "Effective Hybrid System Falsification Using Monte Carlo Tree Search Guided by QB-Robustness." In Computer Aided Verification, 595–618. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_29.
Full textChinazzo, André, Christian De Schryver, Katharina Zweig, and Norbert Wehn. "Increasing the Sampling Efficiency for the Link Assessment Problem." In Lecture Notes in Computer Science, 39–56. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-21534-6_3.
Full textBelzner, Fabian, Carsten Thorenz, and Mario Oertel. "A Modernized Safety Concept for Ship Force Evaluations During Lock Filling Processes." In Lecture Notes in Civil Engineering, 271–80. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_24.
Full textConference papers on the topic "Shower Monte Carlo"
Waters, Laurie S., Gregg W. McKinney, Joe W. Durkee, Michael L. Fensin, John S. Hendricks, Michael R. James, Russell C. Johns, and Denise B. Pelowitz. "The MCNPX Monte Carlo Radiation Transport Code." In HADRONIC SHOWER SIMULATION WORKSHOP. AIP, 2007. http://dx.doi.org/10.1063/1.2720459.
Full textHagmann, Chris, David Lange, and Douglas Wright. "Cosmic-ray shower generator (CRY) for Monte Carlo transport codes." In 2007 IEEE Nuclear Science Symposium Conference Record. IEEE, 2007. http://dx.doi.org/10.1109/nssmic.2007.4437209.
Full textJadach, Stanislaw, Wiesław Płaczek, Sebastian Sapeta, Andrzej Konrad Siodmok, and Maciej SKRZYPEK. "New simpler methods of matching NLO corrections with parton shower Monte Carlo." In Loops and Legs in Quantum Field Theory. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.260.0020.
Full textRanft, J. "High energy hadron production Monte Carlos." In HADRONIC SHOWER SIMULATION WORKSHOP. AIP, 2007. http://dx.doi.org/10.1063/1.2720461.
Full textAlioli, Simone. "Matching NLO QCD to Monte Carlo showers and POWHEG." In “Loops and Legs in Quantum Field Theory ” 11th DESY Workshop on Elementary Particle Physics. Trieste, Italy: Sissa Medialab, 2013. http://dx.doi.org/10.22323/1.151.0056.
Full textStrachan, Steven, John Williamson, and Roderick Murray-Smith. "Show me the way to Monte Carlo." In the SIGCHI Conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1240624.1240812.
Full textHUEGE, T., and H. FALCKE. "MONTE CARLO SIMULATIONS OF RADIO EMISSION FROM COSMIC RAY AIR SHOWERS." In Proceedings of the International Workshop (ARENA 2005). WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773791_0011.
Full textDasgupta, Mrinal. "Parton Shower Monte Carlos vs Resummed Calculations for Interjet Energy Flow Observables." In 15th International Workshop on Deep-Inelastic Scattering and Related Subjects. Amsterdam: Science Wise Publishing, 2007. http://dx.doi.org/10.3360/dis.2007.194.
Full textVilchez Torres, Mylena Karen, Jimy Frank Oblitas Cruz, Ronmel Leoncio Valcárcel Bornas, Sharon Lizeth Castillo Bazán, and Dennis Renato Pérez Villena. "Model for Hydraulic Shovel Maintenance Planning Using Monte Carlo Simulation." In 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”. Latin American and Caribbean Consortium of Engineering Institutions, 2022. http://dx.doi.org/10.18687/laccei2022.1.1.172.
Full textYe, Nanyang, and Zhanxing Zhu. "Stochastic Fractional Hamiltonian Monte Carlo." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/419.
Full textReports on the topic "Shower Monte Carlo"
Ayoul-Guilmard, Q., F. Nobile, S. Ganesh, M. Nuñez, R. Tosi, C. Soriano, and R. Rosi. D5.5 Report on the application of multi-level Monte Carlo to wind engineering. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.03.
Full textFord, Richard L., and W. Ralph Nelson. The EGS Code System: Computer Programs for the Monte Carlo Simulation of Electromagnetic Cascade Showers (Version 3). Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/1104725.
Full textRojas-Bernal, Alejandro, and Mauricio Villamizar-Villegas. Pricing the exotic: Path-dependent American options with stochastic barriers. Banco de la República de Colombia, March 2021. http://dx.doi.org/10.32468/be.1156.
Full textBouezmarni, Taoufik, Mohamed Doukali, and Abderrahim Taamouti. Copula-based estimation of health concentration curves with an application to COVID-19. CIRANO, 2022. http://dx.doi.org/10.54932/mtkj3339.
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