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Frameworks for model independent data analysis — towards a cosmology founded on observations

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If you have a question about this talk, please contact Chandrima Ganguly .

Since the advent of general relativistic cosmology a century ago, cosmology has progressed from the extrapolative study of a sparse number of astrophysical sources to a precise investigation of the origin and evolution of the Universe. However, the precision in the determination of cosmological parameters in modern data analysis comes at the price of imposing strong a priori assumptions in the modelling of the largest scales of our Universe. I will present strategies for model independent analysis of upcoming cosmological datasets, which allow to infer properties of the Universe without making assumptions about the metric of space-time or the field equations prescribing it.

This talk is part of the DAMTP Friday GR Seminar series.

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