Dr. Supranta Baruah, University of Arizona
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Abstract: Next-generation cosmological surveys can potentially reveal some of deepest mysteries of fundamental physics. Extracting physical insights from these data sets require robust data analysis methods. Current analyses of cosmological data sets largely rely on the analysis of 2-point correlation functions which can be sub-optimal for non-Gaussian fields. An alternate analysis method involve forward-modeling and comparing the data at field level. Such analyses provide the way forward towards optimal extraction of all the information from the data. In this talk, I will talk about some recent developments in field-level analysis methods for weak lensing and peculiar velocity data sets. In particular, I will show how forward-modeled analysis of weak lensing data sets provides a better reconstruction of mass maps and can improve cosmological constraints over standard approaches. I will also describe mitigation of systematic effects in forward-modelled reconstruction of peculiar velocity.
** Refreshments served from 2:45pm – 3:00pm in PAS 218. Thank you. **