Green marketing para empresas de consumo masivo : una revisión bibliográfica

El presente trabajo tiene como objetivo proponer una sistematización para la revisión de la literatura acerca de la implementación de estrategias de green marketing en empresas de consumo masivo y la injerencia que estas han tenido en el consumo y la producción sostenibles. Para esta revisión se utilizó la metodología prisma, como método de investigación, y se utilizó una matriz de registro para el análisis de la bibliografía escogida. Al final, se evidencian algunas prácticas generalizadas y la necesidad de darle una mayor importancia al Green marketing dentro del plan estratégico de las empresas.Resumen. Pregunta de investigación. Justificación. Objetivos de la investigación. Estudio del arte. Marco teórico. Método. Conclusiones. Bibliografía. Anexos. Índice de figuras.Magíster en Dirección de Marketing. CESA.Maestrí

Strategies and performance of the CMS silicon tracker alignment during LHC Run 2

The strategies for and the performance of the CMS silicon tracking system alignment during the 2015–2018 data-taking period of the LHC are described. The alignment procedures during and after data taking are explained. Alignment scenarios are also derived for use in the simulation of the detector response. Systematic effects, related to intrinsic symmetries of the alignment task or to external constraints, are discussed and illustrated for different scenarios

Precision measurement of the structure of the CMS inner tracking system using nuclear interactions

The structure of the CMS inner tracking system has been studied using nuclear interactions of hadrons striking its material. Data from proton-proton collisions at a center-of-mass energy of 13 TeV recorded in 2015 at the LHC are used to reconstruct millions of secondary vertices from these nuclear interactions. Precise positions of the beam pipe and the inner tracking system elements, such as the pixel detector support tube, and barrel pixel detector inner shield and support rails, are determined using these vertices. These measurements are important for detector simulations, detector upgrades, and to identify any changes in the positions of inactive elements

Precision measurement of the structure of the CMS inner tracking system using nuclear interactions

The structure of the CMS inner tracking system has been studied using nuclear interactions of hadrons striking its material. Data from proton-proton collisions at a center-of-mass energy of 13 TeV recorded in 2015 at the LHC are used to reconstruct millions of secondary vertices from these nuclear interactions. Precise positions of the beam pipe and the inner tracking system elements, such as the pixel detector support tube, and barrel pixel detector inner shield and support rails, are determined using these vertices. These measurements are important for detector simulations, detector upgrades, and to identify any changes in the positions of inactive elements