Masato Shirasaki's Probing Cosmic Dark Matter and Dark Energy with Weak PDF

By Masato Shirasaki

In this ebook the applicability and the software of 2 statistical techniques for knowing darkish power and darkish subject with gravitational lensing dimension are introduced.
For cosmological constraints at the nature of darkish strength, morphological data known as Minkowski functionals (MFs) to extract the non-Gaussian info of gravitational lensing are studied. Measuring lensing MFs from the Canada–France–Hawaii Telescope Lensing survey (CFHTLenS), the writer basically exhibits that MFs will be robust data past the normal process with the two-point correlation functionality. mixed with the two-point correlation functionality, MFs can constrain the equation of nation of darkish power with a precision point of roughly 3–4 % in upcoming surveys with sky assurance of 20,000 sq. degrees.
On the subject of darkish subject, the writer studied the cross-correlation of gravitational lensing and the extragalactic gamma-ray heritage (EGB). darkish subject annihilation is without doubt one of the power members to the EGB. The cross-correlation is a strong probe of signatures of darkish subject annihilation, simply because either cosmic shear and gamma-ray emission originate at once from an analogous darkish topic distribution within the universe. the 1st dimension of the cross-correlation utilizing a true info set bought from CFHTLenS and the Fermi huge zone Telescope used to be played. evaluating the outcome with theoretical predictions, an self sufficient constraint used to be put on darkish subject annihilation. destiny lensing surveys may be valuable to constrain at the canonical price of annihilation move part for quite a lot of mass of darkish topic annihilation. destiny lensing surveys might be helpful to constrain at the canonical worth of annihilation go part for quite a lot of mass of darkish matter.

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Probing Cosmic Dark Matter and Dark Energy with Weak Gravitational Lensing Statistics (Springer Theses) by Masato Shirasaki

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