As we tread forward through the age of precision cosmology, we get access to new and more sophisticated instruments to carry out our exploration of the Large Scale Structure of the Universe. Such increasing instrumental precision should be mirrored by equally powerful methods of statistical analyses, aiming at extracting as much information as possible. One of the newest methods is ShapeFit,and it was introduced as a blending of pre-existing approaches, namely the Classical and Full Modelling ones. The idea is to take the best features from both predecessors (model-independence, tight constraints), while overcoming their respective limitations (e.g. computational cost). The present work aims to investigate the capabilities and performance of ShapeFit, especially in relation to future galaxy surveys.
As we tread forward through the age of precision cosmology, we get access to new and more sophisticated instruments to carry out our exploration of the Large Scale Structure of the Universe. Such increasing instrumental precision should be mirrored by equally powerful methods of statistical analyses, aiming at extracting as much information as possible. One of the newest methods is ShapeFit,and it was introduced as a blending of pre-existing approaches, namely the Classical and Full Modelling ones. The idea is to take the best features from both predecessors (model-independence, tight constraints), while overcoming their respective limitations (e.g. computational cost). The present work aims to investigate the capabilities and performance of ShapeFit, especially in relation to future galaxy surveys.
Investigation of the ShapeFit analysis for future galaxy surveys
MAGRO, SAMUELE
2023/2024
Abstract
As we tread forward through the age of precision cosmology, we get access to new and more sophisticated instruments to carry out our exploration of the Large Scale Structure of the Universe. Such increasing instrumental precision should be mirrored by equally powerful methods of statistical analyses, aiming at extracting as much information as possible. One of the newest methods is ShapeFit,and it was introduced as a blending of pre-existing approaches, namely the Classical and Full Modelling ones. The idea is to take the best features from both predecessors (model-independence, tight constraints), while overcoming their respective limitations (e.g. computational cost). The present work aims to investigate the capabilities and performance of ShapeFit, especially in relation to future galaxy surveys.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/64069