Bertini intra-nuclear cascade implementation in Geant4

We present here a intra-nuclear cascade model implemented in Geant4 5.0. The cascade model is based on re-engineering of INUCL code. Models included are Bertini intra-nuclear cascade model with exitons, pre-equilibrium model, nucleus explosion model, fission model, and evaporation model. Intermediate energy nuclear reactions from 100 MeV to 3 GeV energy are treated for proton, neutron, pions, photon and nuclear isotopes. We represent overview of the models, review results achieved from simulations and make comparisons with experimental data.Comment: Computing in High Energy and Nuclear Physics, La Jolla, California, March 24-28, 2003 1 tar fil

Geant4 Hadronic Cascade Models and CMS Data Analysis : Computational Challenges in the LHC era

This work belongs to the field of computational high-energy physics (HEP). The key methods used in this thesis work to meet the challenges raised by the Large Hadron Collider (LHC) era experiments are object-orientation with software engineering, Monte Carlo simulation, the computer technology of clusters, and artificial neural networks. The first aspect discussed is the development of hadronic cascade models, used for the accurate simulation of medium-energy hadron-nucleus reactions, up to 10 GeV. These models are typically needed in hadronic calorimeter studies and in the estimation of radiation backgrounds. Various applications outside HEP include the medical field (such as hadron treatment simulations), space science (satellite shielding), and nuclear physics (spallation studies). Validation results are presented for several significant improvements released in Geant4 simulation tool, and the significance of the new models for computing in the Large Hadron Collider era is estimated. In particular, we estimate the ability of the Bertini cascade to simulate Compact Muon Solenoid (CMS) hadron calorimeter HCAL. LHC test beam activity has a tightly coupled cycle of simulation-to-data analysis. Typically, a Geant4 computer experiment is used to understand test beam measurements. Thus an another aspect of this thesis is a description of studies related to developing new CMS H2 test beam data analysis tools and performing data analysis on the basis of CMS Monte Carlo events. These events have been simulated in detail using Geant4 physics models, full CMS detector description, and event reconstruction. Using the ROOT data analysis framework we have developed an offline ANN-based approach to tag b-jets associated with heavy neutral Higgs particles, and we show that this kind of NN methodology can be successfully used to separate the Higgs signal from the background in the CMS experiment.Tärkeimmät menetelmät tässä kokeellisen hiukkasfysiikan laskennan alaan kuuluvassa työssä ovat olipohjainen ohjelmistokehitys, Monte Carlo simulointi ja keinotekoiset hermoverkot. Näitä menetelmiä on käytetty vastaamaan haasteisiin joita asettaa CERN:n Large Hadron Collider - kiihdyttimellä tehtävien kokeiden simulointi ja data-analyysi -menetelmien kehittäminen. Työn ensimmäisessä osassa keskitytään atomiytimen sisäisten hadroni-kaskadimallien kehittämiseen. Näiden mallien tyypilliset käyttöalueet ovat hiukkasfysiikassa hadronikalorimetrien simulointi ja taustasäteilyn arviointi, ydifysiikassa spallaatiotutkimus, avaruustutkimuksesa säteilynsuojelu ja lääketieteessä hadronihoitojen mallintaminen. Työssä esitellään avoimen lähdekoodin ohjelmistossa Geant4:ssä kehitettyjen mallien suorituskykyä ja sovellutuksia erityisesti CERN:n Compact Muon Solenoid -kokeen hadronikalorimetrin näkökulmasta ja perustellaan miksi CERN kokeet ovat valinneet työssä kehitetyt mallit standardityökaluksi simulaatioissaan. Työn toisessa osassa kuvataan hiukkassuihkujen analysointiin Helsinki Silicon Beam Telescope -jäljistimellä kehittettyä Geant4-simulointia ja data-analyysi -ohjelmistoa. Lisäksi esitellään uusi menetelmä erottaa CMS kokeeessa Higgs hiukkasen signaali vallitsevasta taustasta käyttäen keinotekoisia hemoverkkoja. Aikaisemmin vain vähän sovelletujen itseoppivien hermoverkkojen analyysillä todistetaan että myös tällainen työkalu soveltuu tukemaan perinteisiä menetelmiä

Ideal tau tagging with the multivariate data-analysis toolkit TMVA

Peer reviewe

CMS The Computing Project : Technical Design Report

Peer reviewe

Search for Microscopic Black Hole Signatures at the Large Hadron Collider

Peer reviewe

Measurement of W-gamma and Z-gamma production in pp collisions at sqrt(s) = 7 TeV

Peer reviewe

Discutindo a educação ambiental no cotidiano escolar: desenvolvimento de projetos na escola formação inicial e continuada de professores

A presente pesquisa buscou discutir como a Educação Ambiental (EA) vem sendo trabalhada, no Ensino Fundamental e como os docentes desta escola compreendem e vem inserindo a EA no cotidiano escolar., em uma escola estadual do município de Tangará da Serra/MT, Brasil. Para tanto, realizou-se entrevistas com os professores que fazem parte de um projeto interdisciplinar de EA na escola pesquisada. Verificou-se que o projeto da escola não vem conseguindo alcançar os objetivos propostos por: desconhecimento do mesmo, pelos professores; formação deficiente dos professores, não entendimento da EA como processo de ensino-aprendizagem, falta de recursos didáticos, planejamento inadequado das atividades. A partir dessa constatação, procurou-se debater a impossibilidade de tratar do tema fora do trabalho interdisciplinar, bem como, e principalmente, a importância de um estudo mais aprofundado de EA, vinculando teoria e prática, tanto na formação docente, como em projetos escolares, a fim de fugir do tradicional vínculo “EA e ecologia, lixo e horta”.Facultad de Humanidades y Ciencias de la Educació

Geant4 Hadronic Cascade Models and CMS Data Analysis : Computational Challenges in the LHC era

This work belongs to the field of computational high-energy physics (HEP). The key methods used in this thesis work to meet the challenges raised by the Large Hadron Collider (LHC) era experiments are object-orientation with software engineering, Monte Carlo simulation, the computer technology of clusters, and artificial neural networks. The first aspect discussed is the development of hadronic cascade models, used for the accurate simulation of medium-energy hadron-nucleus reactions, up to 10 GeV. These models are typically needed in hadronic calorimeter studies and in the estimation of radiation backgrounds. Various applications outside HEP include the medical field (such as hadron treatment simulations), space science (satellite shielding), and nuclear physics (spallation studies). Validation results are presented for several significant improvements released in Geant4 simulation tool, and the significance of the new models for computing in the Large Hadron Collider era is estimated. In particular, we estimate the ability of the Bertini cascade to simulate Compact Muon Solenoid (CMS) hadron calorimeter HCAL. LHC test beam activity has a tightly coupled cycle of simulation-to-data analysis. Typically, a Geant4 computer experiment is used to understand test beam measurements. Thus an another aspect of this thesis is a description of studies related to developing new CMS H2 test beam data analysis tools and performing data analysis on the basis of CMS Monte Carlo events. These events have been simulated in detail using Geant4 physics models, full CMS detector description, and event reconstruction. Using the ROOT data analysis framework we have developed an offline ANN-based approach to tag b-jets associated with heavy neutral Higgs particles, and we show that this kind of NN methodology can be successfully used to separate the Higgs signal from the background in the CMS experiment