Cosmology and Statistics

As more massive cosmological data sets are being available, statistics and more sophisticated statistical methods are becoming increasingly important in order to extract cosmological information from such data sets as well as deal with large and complex data sets. The relevant issues that are actively discussed in this field are model selection, parameter estimation methods, Bayes' theorem and so on.

One of researches we are carrying out at IPMU is gravitational lensing, tiny distortion of distant galaxy images caused by gravitational lensing due to their foreground large-scale structures of the Universe. To extract the tiny distortion signal from observed galaxy images, galaxy shapes need to be modeled in a mathematically rigorous manner and be precisely disentangled from observational effects of sampling, convolution and noise. Statistical tools/knowledges mentioned above sometimes help study these shape measurement issues.

Thus we are actively working on these cosmology-statistics issues by inviting and/or interacting with world-class leading cosmologists and statisticians. 

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