Sökning: "LHC"
Visar resultat 11 - 15 av 136 avhandlingar innehållade ordet LHC.
11. Development of New Approaches to ATLAS Detector Simulation and Dark Matter Searches with Trigger Level Analysis
Sammanfattning : Elementary particles and their interactions are successfully described by the Standard Model of particle physics (SM). However, it has been observed that extensions Beyond the Standard Model (BSM) are required to account for a large part of yet undiscovered particles and interactions, such as Dark Matter (DM). LÄS MER
12. Dissecting the photosystem II light-harvesting antenna
Sammanfattning : In photosynthesis, sunlight is converted into chemical energy that is stored mainly as carbohydrates and supplies basically all life on Earth with energy.In order to efficiently absorb the light energy, plants have developed the outer light harvesting antenna, which is composed of ten different protein subunits (LHC) that bind chlorophyll a and b as well as different carotenoids. LÄS MER
13. Calibration of b-tagging and search for Dark Matter : Calibration of b-tagging efficiency and search for Dark Matter production in association with heavy flavour quarks with the ATLAS experiment
Sammanfattning : The Large Hadron Collider (LHC) is the most powerful and complex particle accelerator ever built. The ATLAS and the CMS are the two multipurpose particle detectors at the LHC, designed to cover a wide range of physics measurements. LÄS MER
14. Searches for Dark Matter and Large Extra Dimensions in Monojet Final States with the ATLAS Experiment
Sammanfattning : This thesis presents searches for evidence for Weakly Interacting Massive Particles (WIMPs) and Extra Dimensions in proton-proton collisions recorded by the ATLAS experiment at the CERN Large Hadron Collider (LHC). The WIMP is one of the main candidates to constitute the particle content of Dark Matter. LÄS MER
15. Beam-Based Error Identification and Correction Methods for Particle Accelerators
Sammanfattning : Modern particle accelerators have tight tolerances on the acceptable deviation from their desired machine parameters. The control of the parameters is of crucial importance for safe machine operation and performance. This thesisfocuses on beam-based methods and algorithms to identify and correct errors in particle accelerators. LÄS MER