Institute for Advanced Study/Princeton University Early Universe/Cosmology Lunch Discussion
Topic 1: Getting ready for Euclid, Rubin and Roman. Topic 2: TBA
Abstract 1: Observational cosmology is going through a golden age. In particular, we are in the midst of an influx of data from ongoing experiments, such as the Dark Energy Survey (DES). In the coming years, the volume and quality of data will rapidly increase as Stage IV surveys, Euclid, Rubin and Roman come online. Processing this data will require new algorithms and methods to maximize our science reach and to control for systematic errors. In this talk, I will present a method based on forward modeling that relies heavily on simulations of the data. Given the complexities of the late-time Universe, these forward models need to capture the important properties of galaxy populations and key features imprinted on the data from the experiments themselves. By bringing together all these elements with advanced statistical methods and new machine learning algorithms, we can build a process for extracting maximal information from the new data, in a way that robustly accounts for error effects.
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Contact Andrina Nicola or <anicola AT princeton.edu> or Giovanni Cabass <gcabass AT ias.edu> for the Zoom link. Organizers are Jo Dunkley, Princeton University, and Matias Zaldarriaga, Institute for Advanced Study.