Electron Identification and Energy Measurement with Emulsion Cloud Chamber

AbstractCharged particles undergo the Multiple Coulomb Scattering (MCS) when passing through a material. Their momentum can be estimated from the distribution of the scattering angle directly. Angle of electrons (or positrons) largely changes because of the energy loss in bremsstrahlung, and they are distinguished from other charged particles by making use of its feature. Electron energy is generally measured by counting of electromagnetic shower (e.m. shower) tracks in Emulsion Cloud Chamber (ECC), so enough absorber material is needed to develop the shower. In the range from sub-GeV to a few GeV, electrons don’t develop noticeable showers. In order to estimate the energy of electrons in this range with a limited material, we established the new method which is based on the scattering angle considering the energy loss in bremsstrahlung. From the Monte Carlo simulation (MC) data, which is generated by electron beam (0.5GeV, 1GeV, 2GeV) exposure to ECC, we derived the correlation between energy and scattering angle in each emulsion layer. We fixed the function and some parameters which 1GeV MC sample would return 1GeV as the center value, and then applied to 0.5GeV and 2GeV sample and confirmed the energy resolution about 50% within two radiation length

A survey of problems in the care and support of infants born at very low birth weight

Orientador: Prof. Dr. Clodomiro Unsihuay-VilaCoorientadora: Prof.a Dr. a Thelma Solange P. FernandesDissertação (mestrado) - Universidade Federal do Paraná, Setor de Tecnologia, Programa de Pós-Graduação em Engenharia Elétrica. Defesa : Curitiba, 29/08/2019Inclui referências: p. 127-133Área de concentração: Sistema de energiaResumo: A frota de veículo elétrico (VE) cresce rapidamente no mundo, em 2018 já superou a marca de 5,1 milhões. A inserção de VE nas redes ativas de distribuição significa uma evolução nos sistemas de energia elétrica, mas essa evolução requer avanços no planejamento da operação, de maneira a considerar o aumento da complexidade que esses novos elementos podem causar na rede. Por isso, se faz necessário ferramentas computacionais que permitam analisar os impactos que o VE causa na operação de redes ativas de distribuição, de maneira a auxiliar na definição de estratégias operativas apropriadas e garantir a otimização de todos os recursos energéticos do sistema. Dessa forma, nesta dissertação foi desenvolvido um modelo computacional, formulado como um problema de otimização capaz de determinar a programação diária da operação de redes ativas de distribuição, considerando a inserção do VE na rede. O problema foi abordado através de um Fluxo de Potência Ótimo (FPO) multiperíodo. A intertemporalidade do problema é formulada através da introdução de uma função de acoplamento representada pela energia armazenada pelas baterias do VE. A resolução do FPO foi através do Métodos dos Pontos Interiores versão Primal-Dual. O horizonte de planejamento é de 24 períodos, divididos em horas. Também é considerado a geração distribuída fotovoltaica e um sistema de tarifação horária de energia. O veículo elétrico é incorporado no problema por meio da adição de uma variável de otimização à função objetivo que além de alterar as restrições de balanço de potência também é usada para monitorar a energia armazenada nas baterias. Como resultado, têm-se um FPO multiperíodo que busca, além da minimização dos custos operativos e perdas de transmissão, também a maximização da energia armazenada nas baterias dos veículos elétricos conectados à rede visando a injeção ótima de energia à rede ativa. Nas simulações realizadas, foram utilizados cenários determinísticos de conexão do VE para avaliar seus impactos nas perdas, custos operacionais e perfil de tensão do sistema elétrico. Os resultados de simulações demonstraram que, no cenário de perfil residencial, que possibilitam o carregamento/descarregamento, é perceptível uma melhora no perfil de tensão do sistema. Isso mostra que a apropriada operação dos VEs com possibilidade de injeção de energia à rede podem ser uma boa alternativa para deslocar picos de carga e reduzir custos operacionais da rede ativa de distribuição. Para o perfil comercial, é perceptível uma redução do perfil de tensão para o seu instante de conexão. Entretanto, esse comportamento pode ser complementado através de uma geração fotovoltaica, que apresenta seus picos de geração nos mesmos instantes em que o VE carrega. Para os cenários que consideram uma alta inserção de VE na rede, os impactos no perfil de tensão do sistema são bastante significativos, demonstrando que para que a rede seja capaz de atender uma grande frota de VEs devem ser feitos investimentos na infraestrutura da rede de distribuição. O impacto da inserção do VE à rede pode aumentar em até 40% as perdas do sistema. Os impactos no custo de operação são significativos, podendo aumentar em até 19%, para cenários de alta penetração de VE. Palavras-chave: Planejamento da Operação. Redes Ativas de Distribuição. Veículo Elétrico. Fluxo de Potência Ótimo. Método dos Pontos Interiores versão Primal-Dual. Armazenamento de energia em baterias.Abstract: The electric vehicle (EV) fleet is growing rapidly in the world, by 2018, it has already surpassed the 5.1 million mark. The insertion of EV into active distribution grids means an evolution in power systems, but this evolution requires advances in operation planning in order to consider the increased complexity that these new elements in the grid may cause. Therefore, computational tools are needed to analyze the impacts that EV has on the operation of active distribution networks, in order to help define appropriate operating strategies and ensuring the optimization of all energy resources in the system. Thus, in this dissertation a computational model was developed, formulated as an optimization problem capable of determining the daily programming of the active distribution networks operation, considering the insertion of the EV in the network. The problem was addressed through a Multi-Period Optimal Power Flow (OPF). The intertemporality of the problem is formulated by introducing a coupling function represented by the energy stored by LV batteries. The resolution of the OPF was through the Primal-Dual Interior Point Method. The planning horizon is 24 periods, divided into hours, under the influence of photovoltaic generation and an hourly energy hourly charging system. The electric vehicle is incorporated into the problem by adding an optimization variable to the objective function which in addition to changing the power balance restrictions is also used to monitor the energy stored in the batteries. As a result, there is a MultiPeriod OPF that seeks, in addition to minimizing operating costs and transmission losses, also maximizing the energy stored in the batteries of electric vehicles connected to the grid for optimal injection of power to the grid at peak hours. In the simulations performed, deterministic EV connection scenarios were used to assess their impacts on losses, operating costs and voltage profile. Simulation results showed that, in the residential profile scenario, which enables loading / unloading, an improvement in the system voltage profile is noticeable. Showing that appropriate EV operation can be a good alternative for shifting power generation from light load moments of the system to high load moments, optimizing the use of system energy resources, reducing operating costs of active distribution. For the commercial profile, a reduction of the voltage profile is noticeable for its connection time. However, this behavior can be complemented by a photovoltaic generation, which presents its generation peaks at the same time that the EV charges. For scenarios that consider a high insertion of EV in the grid, the impacts on the system voltage profile are quite significant, demonstrating that for the grid to be able to serve a large fleet of EVs, investments in the distribution network infrastructure must be made. The impacts of EV insertion into the network can increase system losses by up to 40%. The impacts on operating costs are significant and may increase by up to 19% for high EV penetration scenarios. Keywords: Operation Planning. Active Distribution Networks. Electric Vehicle. Optimal Power Flow. Primal-Dual Interior Point Method. Energy storage in batteries

Laser-driven multi-MeV high-purity proton acceleration via anisotropic ambipolar expansion of micron-scale hydrogen clusters

強力なレーザーを使ってエネルギーがそろった純度100％の陽子ビーム発生に成功 --レーザー駆動陽子ビーム加速器の実現へ向けて大きく前進--. 京都大学プレスリリース. 2022-10-13.Multi-MeV high-purity proton acceleration by using a hydrogen cluster target irradiated with repetitive, relativistic intensity laser pulses has been demonstrated. Statistical analysis of hundreds of data sets highlights the existence of markedly high energy protons produced from the laser-irradiated clusters with micron-scale diameters. The spatial distribution of the accelerated protons is found to be anisotropic, where the higher energy protons are preferentially accelerated along the laser propagation direction due to the relativistic effect. These features are supported by three-dimensional (3D) particle-in-cell (PIC) simulations, which show that directional, higher energy protons are generated via the anisotropic ambipolar expansion of the micron-scale clusters. The number of protons accelerating along the laser propagation direction is found to be as high as 1.6 ±0.3 × 10⁹/MeV/sr/shot with an energy of 2.8 ±1.9 MeV, indicating that laser-driven proton acceleration using the micron-scale hydrogen clusters is promising as a compact, repetitive, multi-MeV high-purity proton source for various applications

Analysis Status and Recent Results on νμ→νe\nu_{\mu} \to \nu_{e} Oscillations of the OPERA Experiment

The OPERA experiment is designed to demonstrate the transition from νμ to ντ in neutrino oscillations by detecting the ντ appearance. During its 5 years run, from 2008 to 2012, 17.97×1019 protons on target were used to produce the νμ beam. In OPERA, νμ → νe oscillations are also searched for. The results presented in this article use the 2008 and 2009 data. Upper limits of 0.44 for sin2(2θ13) in the three flavour oscillation scheme and of 7.2×10−3 for sin2(2θnew) in a non standard oscillation scheme were set at 90% C.L

Cultural landscape conservation in Italy and Japan

Il saggio ripercorre le tappe fondamentali della legislazione italiana per la tutela dei bbcc, con particolare attenzione per il paesaggio, evidenziando gli aspetti piu' caratteristici ma anche originali, se comparata a quella giapponese. Una volta definito il quadro della tutela del paesaggio in Italia, il saggio procede alla comparazione della situazione italiana con quella giapponese

Impact of Isolated High Home Systolic Blood Pressure and Diabetic Nephropathy in Patients with Type 2 Diabetes Mellitus : A 5-Year Prospective Cohort Study

Background: A previous 2-year cohort study has shown that isolated high home systolic blood pressure (IH-HSBP) may increase the risk of diabetic nephropathy, using normal HBP as a reference. However, this association has not been previously assessed in the medium to long term. Methods: This prospective 5-year cohort study of 424 patients, with normal or mildly increased albuminuria, investigated the effect of IH-HSBP on the risk of diabetic nephropathy in patients with type 2 diabetes mellitus. Diabetic nephropathy was defined as an advancement from normal or mildly increased albuminuira to moderate or severely increased albuminuria. Results: Among 424 patients, 75 developed diabetic nephropathy during the study period. The adjusted odds ratio for developing diabetic nephropathy given IH-HSBP was 2.39 (95% confidence interval, 1.15-4.96, p = 0.02). The odds ratio for developing nephropathy in patients with IH-HSBP younger than 65 years was higher than that in patients with IH-HSBP older than 65 years. Conclusion: IH-HSBP was associated with an increased risk of diabetic nephropathy among type 2 diabetes mellitus patients with normal or mildly increased albuminuria in the medium to long term. The results support and strengthen previous reports. These findings suggest that IH-HSBP might be a useful marker in disease prognostication